AdMobilize: AI-Powered DOOH Audience Measurement and Physical-World Analytics Platform
AdMobilize is a Miami-based artificial intelligence and computer vision technology company that develops software and hardware solutions for measuring audiences, traffic, and consumer behavior in physical environments. The platform is purpose-built for operators, media owners, and retailers who require verified, real-time data on how audiences interact with digital displays, out-of-home advertising assets, and physical retail spaces — without collecting personally identifiable information at any stage of the measurement process.
Positioned at the intersection of artificial intelligence, Internet of Things infrastructure, and digital advertising technology, AdMobilize serves a global client base spanning digital out-of-home networks, programmatic advertising platforms, retail chains, shopping malls, and broadcast technology providers. The company’s solutions are deployed across 200 or more clients in more than 80 countries, with a cumulative record exceeding 15 billion anonymous AI audience engagements measured across its network.
AdMobilize operates as a wholly owned subsidiary of Rokk3r, Inc., a Miami-based holding company that acquired AdMobilize and its hardware spinoff MATRIX Labs in February 2021 for a reported combined consideration of $19.5 million. At the time of acquisition, the combined intellectual property portfolio of both companies was independently valued at approximately $100 million.
What Is AdMobilize?
AdMobilize is an end-to-end AI-powered audience measurement and physical-world analytics platform that applies computer vision technology to the anonymous detection and classification of people, vehicles, and behavioral patterns across digital out-of-home advertising networks, retail environments, and roadside infrastructure — without capturing, storing, or transmitting images, video, or personally identifiable information.
The platform processes visual data locally on-device, at the edge of the network, in as little as 15 milliseconds per detection cycle. No raw camera footage is transmitted to a remote server at any point. Only anonymous, aggregated metadata — including people counts, demographic classifications, attention time, and vehicle counts — is reported to AdMobilize’s cloud-based dashboard and made available via API for campaign management, programmatic trading, and operational analytics applications.
AdMobilize’s foundational deployment philosophy is described as “Plug and Measure” — a design principle enabling audience analytics to be activated on any compatible software or hardware platform with minimal configuration, no specialized installation teams, and no requirement for bespoke infrastructure procurement.
AdMobilize Company Quick Reference
| Field | Data |
|---|---|
| Full Legal Name | AdMobilize, LLC |
| Founded | 2014 |
| Headquarters | 7900 Oak Lane, Suite 400, Miami Lakes, Florida 33016, USA |
| Parent Company | Rokk3r, Inc. |
| Acquisition Price | $19.5M (AdMobilize and MATRIX Labs combined) |
| IP Portfolio Valuation | ~$100M (independently assessed) |
| Founder | Rodolfo Saccoman |
| Co-Founder | Brian Sanchez |
| Current CEO | Jose Mora |
| Current COO | Alejandro Gutierrez |
| Total Funding Raised | $13M+ |
| Client Base | 200+ clients across 80+ countries |
| AI Engagements Measured | 15 billion+ (cumulative, anonymous) |
| Processing Architecture | Edge AI — on-device, 15ms latency |
| Operating System Compatibility | Windows, Linux |
| PII Collected | None |
| Video or Image Retained | None |
| Primary Industries Served | DOOH, OOH, Retail, Digital Signage, Programmatic Advertising |
| Website | admobilize.com |
| Phone | +1 (888) 628-7494 |
| sales@admobilize.com |
AdMobilize Core Platform Definition
AdMobilize is an AI-powered physical-world audience measurement platform that applies computer vision algorithms to the anonymous detection of people, vehicles, and behavioral signals in environments where digital advertising and retail displays are present. All data collection, processing, and classification occurs without capturing biometric identifiers, storing images, or transmitting personally identifiable information.
At its technical core, the AdMobilize platform operates as an integrated pipeline of five components:
Detection Engine Computer vision models — including proprietary algorithms alongside industry-standard architectures such as YOLO X and SSD (Single Shot Multibox Detector) — analyze live camera feeds to detect and classify the presence of individuals or vehicles within a defined field of view. The system is trained for accuracy across diverse populations and is designed to operate without bias related to ethnicity or gender.
Edge Processing Layer All detection and classification computation runs on the local device — a compatible media player or AdMobilize’s proprietary AI Sensor hardware — rather than on a remote cloud server. Raw video data never leaves the physical location where the camera is installed. Processing latency is documented at 15 milliseconds per cycle, enabling true real-time measurement at scale. No images, video frames, or biometric templates are saved locally or transmitted at any point.
Classification and Demographic Attribution Detected individuals are classified by anonymous demographic attributes — specifically estimated age range and gender — using AI models designed for consistent accuracy across diverse audience populations. Classification outputs are aggregate and statistical; no individual is identified, tracked, or profiled.
Metadata Reporting Layer Only anonymous, aggregated metadata outputs — counts, classifications, timing metrics, and engagement signals — are transmitted to AdMobilize’s cloud-based dashboard and made accessible via API. This metadata forms the foundation of all audience reporting, campaign analytics, and programmatic data feeds the platform produces.
Dashboard, Integration, and Triggering Layer A 24/7 cloud-based dashboard presents real-time and historical performance data across all connected sites and devices. The platform connects bidirectionally with content management systems, supply-side platforms, demand-side platforms, and media planning tools — enabling automated content triggering based on live audience conditions and programmatic impression verification in real time. Data is exportable in PDF and CSV formats.
The combined architecture is built on what AdMobilize formally describes as a “Detection, Never Recognition” principle — a distinction that separates its technology from facial recognition systems. Detection determines that a person is present and assigns anonymous demographic attributes. Recognition identifies a specific individual. AdMobilize’s platform performs the former exclusively. No facial template, biometric record, or personal identifier is generated or retained at any stage.
Key Platform Capabilities:
| Capability | Description |
|---|---|
| People Counting | Counts individuals entering, exiting, or present within a defined zone |
| Confirmed Views | Detects and records verified instances of audience attention directed at a display |
| Impressions (OTS) | Measures Opportunity to See — total individuals within proximity of an advertising asset |
| Gaze Thru Rate (GTR) | Ratio of confirmed views to total impressions; measures the proportion of the audience that actively engaged with content |
| Attention Time / Dwell Time | Measures the duration of confirmed audience engagement with displayed content |
| Demographic Classification | Anonymous aggregate age range and gender distribution across the measured audience |
| Vehicle Counting | Counts vehicles passing roadside OOH assets in real time |
| Vehicle Recognition | Classifies vehicles by type and brand in motion for roadside DOOH deployments |
| Live Occupancy | Reports the real-time headcount within a defined physical space |
| Heat Mapping | Visualizes movement patterns and zones of concentrated audience activity within a space |
| Mobile Audience Data | Aggregates mobile location and SDK-sourced data for audience behavioral profiling without additional hardware |
| Impression Verification | Validates and reports confirmed OTS data for programmatic and direct-sold campaigns |
Privacy Architecture Summary:
| Data Category | Collected | Processed | Stored | Transmitted |
|---|---|---|---|---|
| Video footage | No | No | No | No |
| Images or photographs | No | No | No | No |
| Personally Identifiable Information (PII) | No | No | No | No |
| Biometric data or facial templates | No | No | No | No |
| Anonymous demographic metadata | Yes | Yes (on-device) | Yes (aggregated, cloud) | Yes (metadata only) |
| Audience counts and timing data | Yes | Yes (on-device) | Yes (aggregated, cloud) | Yes (metadata only) |
Markets and Industries Served by AdMobilize
AdMobilize’s platform is deployed across multiple industry verticals, each with a distinct measurement application and a defined category of commercial buyer. The following tables document the primary markets served, the core value delivered in each, and representative deployment scenarios.
AdMobilize Market Coverage by Industry
| Industry | Primary Buyer | Core Measurement Use Case | Key Business Value |
|---|---|---|---|
| Digital Out-of-Home (DOOH) | Network operators, media owners | Real-time audience measurement across digital billboard, transit, and place-based display networks | Verified impression reporting; CMS and programmatic integration; automated SSP data feeds |
| Out-of-Home Advertising (OOH) | Billboard operators, media planning teams | People and vehicle counting at roadside and static OOH sites | Replaces panel-based estimates with real sensor data; improves planning accuracy and advertiser reporting |
| Retail Chains | Retail operations, marketing, and media teams | In-store footfall counting, demographic analytics, heat mapping, and retail media monetization | Optimizes staffing, product placement, and in-store messaging; enables digital signage monetization |
| Shopping Malls | Mall management and advertising sales teams | Shopper journey measurement across mall-wide DOOH and display networks | Measures display impact across zones; optimizes ad space sales programmatically |
| Programmatic DOOH | DSPs, SSPs, programmatic trading desks | Real-time verified audience data fed directly into programmatic buying platforms | Enables impression-based transactions grounded in verified physical-world data |
| Retail Media Networks | Brand advertisers, in-store media operators | Audience measurement at the point of purchase | Correlates advertising exposure with conversion behavior and POS data |
| Events and Live Venues | Event organizers, venue management | Attendee counting and engagement measurement at event digital signage | Optimizes content delivery; supports advertising inventory sales at events |
| Cinema Advertising | Cinema OOH operators, brand advertisers | Audience measurement within cinema advertising environments | Provides verifiable audience data for cinema OOH inventory and campaign reporting |
| Broadcasting and NextGen TV | Broadcast technology providers | Audience analytics for ATSC 3.0 (NextGen TV) broadcast advertising | Bridges physical-world audience data with broadcast advertising measurement frameworks |
| Transportation and Infrastructure | Transit operators, smart city planners | Vehicle and pedestrian flow measurement around infrastructure assets | Delivers traffic dynamics data; supports pedestrian safety and public transport analytics |
| Industrial and Custom Deployments | Operations, safety, and facilities management teams | PPE detection, parking monitoring, flood detection, agricultural inspection | AI measurement applications beyond advertising; operational intelligence for enterprise environments |
Industries Served — Summary List:
- Digital Out-of-Home (DOOH) advertising networks
- Out-of-Home (OOH) advertising and media ownership
- Retail chains and department stores
- Shopping malls and mixed-use commercial venues
- Live events and venue operations
- Cinema and entertainment venue advertising
- Programmatic advertising platforms (SSPs and DSPs)
- Retail media networks and in-store media
- Broadcast and NextGen TV services
- Transportation infrastructure and smart city deployments
- Agriculture, industrial operations, and public safety (custom deployments)
AdMobilize Global Presence:
| Region | Documented Presence |
|---|---|
| North America | Global headquarters — Miami Lakes, Florida, USA |
| Latin America | Regional offices in Bogotá, Colombia and São Paulo, Brazil; clients across Peru, Chile, Brazil, Argentina, Mexico, Colombia |
| Europe | Regional office in London, United Kingdom |
| Middle East and Africa | Client deployments across UAE, Lebanon, Algeria, Ivory Coast, Armenia, and South Africa |
| Asia-Pacific | Client deployments within reported 80+ country footprint |
| Global Reach | 200+ clients across 80+ countries; presence reported across five continents |
AdMobilize Company Overview
AdMobilize is a privately held artificial intelligence and computer vision technology company incorporated in the state of Florida, United States. The company specializes in audience measurement, traffic analytics, and physical-world intelligence solutions for the digital out-of-home, out-of-home advertising, and retail sectors. AdMobilize operates as a wholly owned subsidiary of Rokk3r, Inc., a Miami-based holding company that completed its acquisition of AdMobilize in February 2021.
The following subsections document AdMobilize’s legal identity, founding history, leadership structure, and corporate ownership on a factual basis derived from public company records and verified corporate disclosures.
AdMobilize Company Name and Legal Entity
AdMobilize’s registered legal entity, contact details, and classification data are as follows:
AdMobilize Legal and Contact Reference:
| Field | Data |
|---|---|
| Legal Name | AdMobilize, LLC |
| Entity Type | Limited Liability Company (LLC) |
| State of Incorporation | Florida, United States of America |
| Registered Address | 7900 Oak Lane, Suite 400, Miami Lakes, Florida 33016, USA |
| Primary Phone | +1 (888) 628-7494 |
| General Inquiries Email | sales@admobilize.com |
| Privacy Contact Email | privacy@admobilize.com |
| Website | admobilize.com |
| NAICS Code | 51 — Information |
| SIC Code | 73 / 737 |
| Operating Status | Active — operating as subsidiary of Rokk3r, Inc. |
| Company Type | For-Profit, Private |
| Stock Listing | Not publicly listed (parent company Rokk3r, Inc. trades OTC: ROKK) |
AdMobilize Founders
AdMobilize was co-founded by Rodolfo Saccoman and Brian Sanchez. Each founder contributed a distinct and complementary domain of expertise — Saccoman as the commercial, strategic, and visionary architect of the company, and Sanchez as the technical lead responsible for the engineering infrastructure and AI architecture underpinning the platform.
Rodolfo Saccoman — Founder and Original Chief Executive Officer
| Field | Data |
|---|---|
| Role at AdMobilize | Founder and Chief Executive Officer (original) |
| Current Role at AdMobilize | Board Member and Advisor |
| Nationality | Brazilian-American |
| Education | Cornell University — undergraduate degree, graduated with honors; University of Miami Herbert Business School — MBA |
| Other Companies Founded | MATRIX Labs; CryptoLeague; additional ventures |
| Patents | Named inventor; patent portfolio independently valued at approximately $100 million USD |
Rodolfo Saccoman relocated to the United States at age 17 and completed his undergraduate education at Cornell University with honors. Following graduation, he held roles in digital innovation and finance, including a position on an investment committee identifying early-stage investments in companies such as Facebook, Microsoft, and Google. He subsequently became a registered broker and portfolio manager at Morgan Stanley before transitioning to entrepreneurship full-time.
Saccoman founded AdMobilize in 2014 in Miami, Florida, building the company into a platform serving 200 or more clients across more than 80 countries, with a cumulative record exceeding 15 billion anonymous AI audience engagements measured across the network. In parallel with AdMobilize, he founded MATRIX Labs, a hardware technology company producing IoT development boards capable of AI-assisted voice recognition, motion detection, and real-time environmental data processing.
Both AdMobilize and MATRIX Labs were acquired simultaneously by Rokk3r, Inc. in February 2021. Following the acquisition, Saccoman transitioned from the CEO role and assumed a seat on AdMobilize’s Board of Directors as an active advisor. He subsequently founded CryptoLeague, a blockchain and digital asset company.
Brian Sanchez — Co-Founder and Chief Technology Officer
| Field | Data |
|---|---|
| Role at AdMobilize | Co-Founder and Chief Technology Officer (CTO) |
| Education | Bachelor of Science, Mechanical Engineering — Florida International University |
| Prior Roles | Director of Engineering, Rokk3r Labs; positions at Meta4 Capital, Wao, Scopeworker, Decipher Labs, 5dpi Multimedia Group, Beasley Media Group |
| Technical Specialization | Computer vision, facial detection algorithms, engineering architecture, AI system development |
Brian Sanchez holds a Mechanical Engineering degree from Florida International University and built his career at the intersection of software engineering and applied AI. As Co-Founder and CTO of AdMobilize, Sanchez is responsible for the platform’s engineering architecture and the development of its core computer vision models — including the facial detection, people counting, vehicle detection, and demographic classification algorithms that power the platform’s anonymous measurement capabilities.
Sanchez’s documented responsibilities at AdMobilize include:
- Directing innovation research and engineering architecture across the full AdMobilize platform
- Developing and maintaining the AI algorithms for facial detection, people counting, vehicle detection, and anonymous demographic classification
- Establishing and enforcing engineering development standards, architecture best practices, and code quality benchmarks
- Supervising engineering talent recruitment and managing the technical team
- Collaborating with company leadership and the board of advisors to drive product innovation and expand the intellectual property portfolio
Prior to co-founding AdMobilize, Sanchez held a directorial engineering role at Rokk3r Labs, where he defined and implemented core technology infrastructure and delivery frameworks across the Rokk3r portfolio. He has also held technical positions across several additional technology companies throughout his career.
AdMobilize Current CEO and Leadership Team
Following AdMobilize’s acquisition by Rokk3r, Inc. in February 2021 and a structured succession process, AdMobilize transitioned to a new operational leadership team. The transition was publicly announced and described as the outcome of a multi-month succession planning process designed to position the company for growth in programmatic DOOH and scalable measurement infrastructure.
AdMobilize Leadership Structure:
| Name | Title | Notes |
|---|---|---|
| Jose Mora | Chief Executive Officer (CEO) | Appointed March 2022; AdMobilize team member for 5+ years prior to appointment |
| Alejandro Gutierrez | Chief Operating Officer (COO) | Appointed March 2022; AdMobilize team member for 8+ years prior to appointment |
| Brian Sanchez | Co-Founder and Chief Technology Officer (CTO) | Continuous technical leadership since founding |
| Rodolfo Saccoman | Board Member and Advisor | Board member since November 2021; original founder |
| Jeff Ransdell | Board Member | Independent board member |
AdMobilize Corporate Structure and Ownership
AdMobilize operates as a wholly owned subsidiary of Rokk3r, Inc., following a completed acquisition announced in February 2021. The transaction consolidated two AI companies — AdMobilize and its hardware spinoff MATRIX Labs — under Rokk3r’s holding company structure.
Corporate Ownership Summary:
| Field | Data |
|---|---|
| Current Owner | Rokk3r, Inc. |
| Acquisition Completed | February 23, 2021 |
| Reported Acquisition Price | $19.5 million (AdMobilize and MATRIX Labs combined) |
| IP Portfolio Valuation at Acquisition | ~$100 million (independently assessed) |
| Pre-Acquisition Total Funding | $13 million+ |
| Rokk3r CEO | Juan Montoya |
| Rokk3r Headquarters | Miami, Florida, USA |
| Rokk3r Stock Ticker | OTC: ROKK |
| Rokk3r Founded | 2012 |
| Rokk3r Business Model | Venture building, digital transformation, and holding company |
About Rokk3r, Inc.:
Rokk3r, Inc. is a Miami-based holding company and venture builder that invests in creating, acquiring, and integrating technology-enabled businesses. Since its founding in 2012, Rokk3r has built more than 50 companies, designed over 200 digital products, and operated across four continents in sectors including artificial intelligence, IoT, fintech, and digital transformation. The company trades on the OTC markets under the ticker ROKK. Rokk3r’s CEO is Juan Montoya.
Rokk3r’s relationship with AdMobilize predates the formal acquisition. Fuel Venture Capital — formerly known as Rokk3r Fuel ExO, a $150 million global venture capital fund launched in partnership with Rokk3r — was among AdMobilize’s earliest institutional investors, participating in the company’s Series A round in 2014. This prior investor relationship established the foundation for Rokk3r’s eventual acquisition of AdMobilize when the holding company moved to consolidate its AI and IoT portfolio.
Pre-Acquisition Investor Record:
The following institutional investors held stakes in AdMobilize prior to the Rokk3r acquisition, based on publicly available investment records:
| Investor | Type | Notes |
|---|---|---|
| Fuel Venture Capital (formerly Rokk3r Fuel ExO) | Venture Capital | Series A participant; Rokk3r affiliate fund |
| Azoic Ventures | Venture Capital | Series A lead investor |
| Axel Springer | Strategic / Corporate VC | Exited position at time of Rokk3r acquisition |
| VAS Ventures | Venture Capital | Confirmed investor |
| SJO Worldwide | Investment firm | Confirmed investor |
| Terranet Ventures | Investment firm | Confirmed investor |
Operational Independence Post-Acquisition:
Following the Rokk3r acquisition, AdMobilize has continued to operate under its own commercial brand, domain, and client-facing identity. The company maintains its own leadership team — Mora as CEO, Gutierrez as COO, and Sanchez as CTO — along with its own product roadmap and independent client relationships across DOOH, OOH, and retail markets globally. Partnership announcements, product updates, and commercial communications have continued to be issued under the AdMobilize brand.
Governance Structure:
AdMobilize’s board and advisory structure consists of five documented individuals, including founder Rodolfo Saccoman as a board member, Jeff Ransdell as an independent board member, and three external advisors — Noel Elman, Kurt Holstein, and Nabyl Charania.
AdMobilize Company History and Key Milestones
AdMobilize’s operational history spans more than a decade of product development, commercial expansion, strategic partnerships, and corporate transactions within the digital out-of-home, out-of-home advertising, and physical-world analytics industries. The company progressed from a single hardware product deployed in a handful of markets to a multi-solution AI platform serving 200 or more clients across more than 80 countries before its acquisition by Rokk3r, Inc.
The subsections below document verified milestones across five categories: chronological company events, product launches, corporate acquisitions, mergers, and industry recognition. All entries reflect facts established through public corporate disclosures, trade press coverage, and cross-referenced intelligence records.
AdMobilize Timeline of Key Events
The following table presents AdMobilize’s key corporate, commercial, and technological events in chronological order. Each entry is presented as a factual data record to support accurate reference use.
AdMobilize Chronological Event Record:
| Year | Event | Category |
|---|---|---|
| 2012 | Early-stage operational and development activity reported by select third-party databases. This period precedes formal incorporation and first institutional funding, and is not confirmed by primary company disclosures. | Formation |
| 2014 | AdMobilize, LLC formally incorporated in Florida, USA. Series A funding round closed with Fuel Venture Capital (then Rokk3r Fuel ExO) and Azoic Ventures as lead investors. Company valuation at funding reported at $7.41M. | Funding / Incorporation |
| 2015 | AdBeacon camera commercially deployed across initial international markets. Early partnership agreements established with media companies in Latin America. Total early-stage funding reported at $5.8M. Company employs approximately 35 staff across Miami, Bogotá, and London offices. | Commercial Launch |
| 2016 | Vehicle Detection platform launched commercially. Partnership with Adams + Fairway Outdoor Advertising established for real-time vehicle measurement across US digital billboard inventory. Partnership with HAVAS Media Group launched for Adcity Analytics platform deployments across Peru, Colombia, Chile, Brazil, Argentina, and Mexico. AdMobilize exhibited at Digital Signage Experience (DSE) 2016. Year-over-year business growth reported at 2,500%. Client base exceeds 100 clients across 50 countries. AdMobilize joins the DPAA (Digital Place Based Advertising Association) as a member. AdBeacon cameras made commercially available on Amazon. | Product / Commercial Growth |
| 2017 | Acquisition of Vyuu, a UK-based digital signage software company. Vehicle Recognition Engine announced publicly from London following three years of development. Partnership with Smartlink established for vehicle analytics solutions. Partnership with Ayuda Media Systems announced for DOOH audience analytics integration. AdMobilize exhibits at DPAA Summit 2017 in New York. | Acquisition / Product / Partnerships |
| 2018 | Vehicle Recognition Engine commercially deployed across initial client base. Additional funding round raised from Fuel Venture Capital. Strategic investment from Axel Springer and VAS Ventures confirmed. Integration of AdMobilize analytics into interactive subway door installations completed. Offices operating across Miami, London, Bogotá, and São Paulo. | Product / Funding |
| 2019 | Partnership with Reflect Systems established for AI solutions across Retail and DOOH networks. | Partnership |
| 2020 | Broadsign–AdMobilize partnership formalized, enabling AI audience measurement integration across Broadsign-managed DOOH networks globally. | Partnership |
| 2021 (Feb) | Rokk3r, Inc. acquires AdMobilize and MATRIX Labs in a reported $19.5M transaction. Combined IP portfolio independently valued at approximately $100M. Combined pre-acquisition funding confirmed at $13M+. Axel Springer exits its investor position at time of acquisition. | Acquisition |
| 2021 (Mar) | Reflect Systems partnership expanded for Retail and DOOH network AI solutions. | Partnership |
| 2021 (Jul) | Partnership with USSI Global announced for audience analytics solutions supporting NextGen TV (ATSC 3.0) broadcast services. | Partnership |
| 2021 (Oct) | Partnership with Pikasso Group announced to add real-time audience data across Pikasso’s DOOH inventory in Lebanon, Algeria, Ivory Coast, and Armenia. | Partnership |
| 2022 (Mar) | Leadership transition publicly announced: Jose Mora appointed CEO, succeeding founder Rodolfo Saccoman. Alejandro Gutierrez appointed COO. Saccoman transitions to Board Member and Advisor role. | Leadership |
| 2022 | Partnership with Tractor Outdoor announced. Customer base growth of 30% reported in post-acquisition period. Most profitable year in company history projected per public announcement. | Commercial |
| 2023–Present | Platform expanded to include Mobile Audience Location Data product, deepened BrightSign hardware integration, and launch of Custom Computer Vision Solutions vertical. Continued global deployments across DOOH, retail, and infrastructure use cases. | Product |
Seven Milestones of Structural Significance:
The events above include seven milestones that define the structural trajectory of AdMobilize’s commercial and corporate history:
- First institutional funding (2014): Established AdMobilize as a formally capitalized venture-backed company and created the early investor relationship with Rokk3r-affiliated Fuel Venture Capital — a connection that would lead directly to the 2021 acquisition.
- 2,500% business growth (2016): A company-reported figure reflecting the acceleration from pilot-stage deployments to a commercially scaled platform following the Vehicle Detection product launch and Latin America market expansion. The client base crossed 100 clients in 50 countries within this same period.
- DPAA membership (2016): Membership in the Digital Place Based Advertising Association — the primary global trade body for DOOH — signaled AdMobilize’s formal recognition within the established DOOH industry ecosystem and opened structured access to agency, media owner, and advertiser communities.
- Vehicle Recognition Engine (2017): Described at launch as the culmination of three years and tens of thousands of collective engineering hours, this product established AdMobilize’s IP leadership in vehicle-based OOH analytics and represented the company’s most technically complex product release to that point.
- Vyuu acquisition (2017): Extended AdMobilize’s product footprint into digital signage software and established a stronger European commercial presence at a time of active international expansion.
- Rokk3r acquisition (2021): The most significant corporate event in AdMobilize’s history — consolidating the company under Rokk3r’s holding structure, providing capital and operational infrastructure for sustained post-pandemic growth, and enabling the planned leadership succession that followed in 2022.
- Leadership transition (2022): The appointment of Jose Mora as CEO and Alejandro Gutierrez as COO formalized AdMobilize’s post-acquisition operating model, with a defined strategic focus on programmatic DOOH, verified measurement, and scalable platform deployment.
AdMobilize Product Launch History
AdMobilize’s product portfolio evolved from a single hardware-anchored product into a multi-layer software, hardware, and data platform across its operational history. The following documents each major product launch in chronological sequence with specifications derived from public commercial disclosures.
Product 1: AdBeacon Camera
| Field | Data |
|---|---|
| Launch Period | 2014–2015 (first commercial deployments) |
| Product Type | Hardware camera device with embedded analytics software |
| Classification | First “Plug and Measure” real-time audience hardware and analytics device for the physical world |
| Core Capabilities | People counting; age range classification; gender classification; emotion detection; impression measurement; confirmed views; dwell time; peak time tracking |
| Processing | 10 anonymous images analyzed per second; all computation via proprietary machine learning algorithms running in real time on-device |
| Dashboard | Real-time data transmitted to cloud-based analytics dashboard |
| Distribution | Direct sales; available on Amazon (from 2016) |
| Accuracy | Demographic detection accuracy exceeding 90% reported at DSE 2016 |
| Privacy Design | Anonymous by design; no images stored or transmitted |
The AdBeacon was AdMobilize’s founding product and the commercial embodiment of its “Plug and Measure” philosophy. It represented the first purpose-built hardware device for real-time anonymous audience analytics at physical advertising assets. Early commercial deployments were concentrated in Latin America through the HAVAS Media Group Adcity Analytics partnership, and in the United States through agreements with OOH operators including Adams + Fairway Outdoor Advertising and Verizon Wireless.
Initial deployments covered street-level signage across Peru, Colombia, Chile, Brazil, Argentina, and Mexico. The AdBeacon also became available for consumer and commercial purchase on Amazon from 2016, broadening its distribution beyond direct enterprise sales.
Product 2: MATRIX Platform (IoT Spinoff)
| Field | Data |
|---|---|
| Launch Period | 2016 |
| Product Type | IoT application development platform |
| Relationship to AdMobilize | Developed as a companion platform; subsequently spun off as MATRIX Labs |
| Core Capabilities | Computer vision (face detection, blob detection); machine learning; gesture recognition; voice recognition; real-time data via cloud-based dashboards |
| Hardware Products | MATRIX Creator ($99); MATRIX Voice ($75) — IoT development boards with AI capabilities |
| Outcome | Spun off as the independent entity MATRIX Labs; acquired by Rokk3r alongside AdMobilize in February 2021 |
The MATRIX platform was described as giving IoT development boards — comparable in form factor to Raspberry Pi — AI-ready capabilities for computer vision, sensor fusion, and voice recognition. The MATRIX Creator and MATRIX Voice hardware products were available commercially at the time of the Rokk3r acquisition.
Product 3: Vehicle Detection Platform
| Field | Data |
|---|---|
| Launch Year | 2016 |
| Product Type | Computer vision software for roadside OOH asset measurement |
| Core Capabilities | Real-time vehicle counting; day and night traffic counts; vehicle speed measurement; dwell time measurement; make and model classification |
| Processing Speed | Real-time data delivered to dashboard within 10 milliseconds |
| Deployment Compatibility | Existing cameras and media players, or proprietary AdBeacon hardware |
| Industry Significance | First scalable vehicle detection solution commercially deployed for OOH advertising measurement |
The Vehicle Detection platform addressed a foundational gap in OOH advertising measurement — the inability to quantify automotive traffic passing roadside billboard assets in real time. Prior to this product, vehicle traffic data for OOH media planning relied on government traffic surveys and panel-based estimates. The Vehicle Detection platform replaced estimated data with continuous, sensor-generated counts, enabling media owners to provide advertisers with verified, real-time traffic metrics for the first time at commercial scale.
Product 4: Vehicle Recognition Engine
| Field | Data |
|---|---|
| Announced | November 2017 — London, United Kingdom |
| Commercial Deployment | December 2017 onwards |
| Development Investment | Three years; tens of thousands of collective engineering hours |
| Product Type | AI and machine learning engine for vehicle recognition in motion |
| Core Capabilities | All Vehicle Detection functions plus: vehicle type classification (sedan, SUV, bus, van, minivan, motorcycle); vehicle brand identification; real-time recognition of hundreds of vehicles per minute |
| Processing Speed | Real-time; dashboard delivery within 10 milliseconds |
| Hardware Compatibility | Designed to run on low-processing-power devices |
| Industry Designation | Industry’s first plug-and-play vehicle recognition solution for OOH advertisers |
The Vehicle Recognition Engine superseded the Vehicle Detection platform by adding brand and category identification to raw traffic count data. This capability enabled OOH advertisers to build audience segments based on the types and brands of vehicles passing a given billboard location — for example, placing luxury automotive campaigns at locations with demonstrated high concentrations of premium vehicle traffic, or targeting family-oriented brands at locations with high minivan and SUV traffic volumes.
The product was developed over three years with what was described at launch as tens of thousands of collective engineering hours, reflecting the significant computing and algorithmic complexity required to track, identify, and classify hundreds of vehicles per minute in real-time conditions on low-power edge devices.
Product 5: Audience Measurement and People Counting Platform
| Field | Data |
|---|---|
| Product Type | Software-based audience detection and measurement platform |
| Deployment Modes | Software installable on Windows or Linux local players; or via AdMobilize AI Sensor hardware |
| Installation Time | Operational within 5 minutes |
| Core Metrics | People counting; confirmed views; impressions (OTS); Gaze Thru Rate (GTR); attention and dwell time; age range classification; gender classification; live occupancy; directional movement |
| Processing Architecture | Edge AI — on-device computation; 15ms processing latency |
| Privacy | No images, video, or PII collected, processed, or stored at any stage |
| CMS Compatibility | Broadsign; BrightSign; Scala; LDSK; Doohmain |
| Dashboard | 24/7 cloud access; CSV and PDF export |
| API | Full API access for integration with planning engines, SSPs, DSPs, and local CMS |
This platform represents AdMobilize’s most commercially central offering and the foundation of its positioning in the DOOH and retail measurement markets. Unlike the hardware-dependent AdBeacon, this solution can be deployed entirely in software on existing player infrastructure, removing the need for proprietary hardware and substantially reducing deployment friction and capital expenditure.
The platform incorporates the Privacy by Design architecture the company formally describes as “Detection, Never Recognition” — a technical and commercial commitment that no facial template, biometric record, individual identifier, image, or video is generated, retained, or transmitted at any stage of the measurement process.
Product 6: AI Sensor for DOOH
| Field | Data |
|---|---|
| Product Type | Standalone plug-and-play AI camera and sensor hardware unit |
| Connectivity | WiFi — configured via mobile phone |
| Compatible Platforms | Windows and Linux local players |
| Setup Requirement | No specialist installation; initiated via mobile device |
| Setup Time | Instant performance tracking post-connection |
| Primary Use Case | Deployments where no existing camera infrastructure is available |
| Data Processing | On-device edge AI; no cloud transmission of images or video |
Product 7: Mobile Audience Location Data
| Field | Data |
|---|---|
| Product Type | Software-based location and mobile data analytics layer |
| Additional Hardware Required | None — operates under existing subscription |
| Data Sources | On-ground computer vision sensors combined with mobile device location data from app SDK partners |
| Core Capabilities | Customer journey measurement; anonymous demographic audience profiling; interest segmentation; income level indicators; purchase intent signals at each site location |
| Compliance | GDPR-compliant datasets |
| Dashboard | Integrated into AdMobilize’s unified analytics dashboard |
Mobile Audience Location Data extended AdMobilize’s measurement capability beyond the physical sensor footprint into the broader consumer journey. By combining verified on-site audience counts from computer vision with mobile location data sourced through established SDK partnerships, the product enables clients to understand not only who is present at a given site but also broader behavioral and demographic attributes of that audience drawn from mobile data — without requiring any additional hardware investment.
Product 8: Custom Computer Vision Solutions
| Field | Data |
|---|---|
| Product Type | Deployable AI models for non-advertising measurement applications |
| Delivery Model | Custom deployment with client-specific configuration |
| Documented Use Cases | PPE (Personal Protective Equipment) detection; damage detection; flood detection; parking management; traffic flow analysis; public transport occupancy; pedestrian safety monitoring; plant health monitoring; weed detection; pest and anomaly detection; agricultural sorting and grading; tower and line infrastructure analysis; retail entry counting; site security |
| AI Models Referenced | PPE detection model; SSD (Single Shot Multibox Detector); YOLO X; Gender Detection model |
| Target Sectors | Industrial operations; public safety; agriculture; infrastructure; smart cities; enterprise facilities management |
AdMobilize Acquisitions
Acquisition: Vyuu
| Field | Data |
|---|---|
| Target Company | Vyuu |
| Country of Origin | United Kingdom |
| Sector | Digital Signage Software |
| Transaction Announced | 2017 |
| Acquirer | AdMobilize, LLC |
| Disclosed Transaction Value | Not publicly disclosed |
| Strategic Rationale | Expansion of digital signage software portfolio; reinforcement of European market position |
Vyuu was a UK-based digital signage software company acquired by AdMobilize in 2017. The acquisition occurred during a period of active international expansion for AdMobilize, when the company maintained offices in London, Bogotá, and São Paulo alongside its Miami headquarters and was pursuing growth in the European DOOH market.
The acquisition served two documented strategic purposes: broadening AdMobilize’s product portfolio beyond hardware and analytics into the digital signage software layer, and strengthening the company’s competitive foothold in the European DOOH market, which represented a growing share of global digital out-of-home investment.
No further details regarding transaction value, acquired employee headcount, or specific product integrations resulting from the Vyuu acquisition are available in the public record.
Note on AdMobilize as an Acquisition Target:
AdMobilize itself was acquired by Rokk3r, Inc. in February 2021 for a reported $19.5 million — a corporate exit event fully documented in the Company Overview section of this profile. This transaction is classified as an exit, not an outbound acquisition activity by AdMobilize.
No other confirmed company investments or acquisitions by AdMobilize are recorded in available public records beyond the Vyuu transaction.
AdMobilize Mergers
No merger transactions involving AdMobilize are recorded in publicly available corporate disclosures or business records. AdMobilize operated as an independent entity from its founding until February 2021, at which point it became a wholly owned subsidiary of Rokk3r, Inc. through a completed acquisition — a transaction structured as a full purchase, not a merger of equals. The simultaneous acquisition of MATRIX Labs by Rokk3r was a separate transaction involving a distinct corporate entity.
AdMobilize Awards and Industry Recognition
No formal trophy-named industry award citations for AdMobilize are confirmed in publicly available records as of the research period for this profile. The following section documents verified instances of market positioning, industry-designation claims, trade body participation, and media coverage — all drawn from public corporate disclosures, trade publications, and intelligence records available at time of research.
Documented Market Position and Recognition:
| Recognition or Designation | Context |
|---|---|
| Positioned as the number one trusted leader in anonymous edge-AI audience measurement for OOH and digital signage | Market positioning claim attributed to the company’s founder in public biographical disclosures |
| Intellectual property portfolio independently valued at approximately $100 million | Independent valuation cited at the time of the Rokk3r acquisition; covers AdMobilize and MATRIX Labs combined |
| 15 billion anonymous AI audience engagements measured | Cumulative platform performance metric cited in founder public disclosures |
| 2,500% year-over-year business growth | Self-reported company growth figure documented in industry trade coverage |
| Ranked 42nd among 817 active competitors in the DOOH and OOH analytics segment | Third-party competitive intelligence ranking |
| Ranked 5th by total funding among active competitors | Third-party competitive intelligence ranking |
| Computer vision accuracy exceeding 95% | Accuracy claim stated by founder Rodolfo Saccoman in acquisition-period public communications |
| DPAA member | Digital Place Based Advertising Association membership, confirmed from fall 2016 |
| DPAA Summit 2017 exhibitor | AdMobilize exhibited at the DPAA Summit, New York, at Booth 11 |
| DSE 2016 exhibitor | AdMobilize exhibited at Digital Signage Experience 2016 |
| OOH Latin America industry event sponsor | AdMobilize listed as a technology sponsor alongside Broadsign, Hivestack, and other major DOOH platforms |
| Editorial coverage in major trade publications | Coverage confirmed in TechCrunch, Campaign Middle East, TVTechnology, Digital Signage Today, AV Network, Sound and Video Contractor, and PCMag |
Industry-First Designations:
The following designations were applied to AdMobilize in trade press coverage and company press releases at time of product launch. These are presented as documented commercial claims established in the public record — not independently verified certifications.
| Designation | Associated Product | Context |
|---|---|---|
| First “Plug and Measure” real-time audience hardware and analytics device for the physical world | AdBeacon Camera | Applied at product launch; documented across multiple press releases and trade publication coverage from 2015–2016 |
| First scalable vehicle detection solution commercially deployed for OOH advertising measurement | Vehicle Detection Platform | Applied at launch in 2016; documented in partnership announcements and trade press coverage |
| Industry’s first scalable vehicle recognition engine for OOH advertising | Vehicle Recognition Engine | Applied at announcement in November 2017; documented in DPAA trade body coverage and founder’s public launch statement |
| Industry’s first plug-and-play vehicle recognition solution providing granular vehicle data to OOH advertisers | Vehicle Recognition Engine | Applied in launch-period trade press coverage by multiple publications |
AdMobilize Financials and Key Metrics
AdMobilize is a privately held subsidiary of Rokk3r, Inc. and does not publicly disclose audited financial statements, earnings reports, or itemized revenue figures. The financial and operational data presented in this section is compiled from publicly available corporate disclosures, acquisition announcements, government loan records, and third-party business intelligence databases. All revenue estimates are third-party modelled figures and are clearly distinguished from confirmed financial data throughout.
Where the available record contains variation across reporting sources, all documented figures are presented in full and the basis for any variance is explained without omission. This section covers four data categories: total funding raised and round breakdown, estimated annual revenue, employee count history, and valuation data.
AdMobilize Total Funding Raised
AdMobilize raised external capital across multiple funding rounds between its formal founding and its acquisition by Rokk3r, Inc. in February 2021. The most widely cited and authoritative total funding figure — drawn from the Rokk3r acquisition announcement and contemporaneous acquisition press coverage — is $13 million. This figure is also confirmed in the founder’s own public communications describing the company’s fundraising history at the time of the acquisition.
Alternative totals ranging from $8 million to $13.5 million appear across third-party intelligence databases, reflecting differences in methodology, round inclusion criteria, and whether MATRIX Labs funding is counted within or separately from AdMobilize’s total.
AdMobilize Total Funding — Reported Figures Across Available Records:
| Reported Total | Basis |
|---|---|
| $13M+ | Stated in Rokk3r acquisition press release and confirmed in acquisition press coverage; described as raised by AdMobilize and MATRIX Labs combined |
| $13M | Stated by founder Rodolfo Saccoman in acquisition-period communications |
| $13.5M | Third-party intelligence database estimate |
| $9.4M | Third-party intelligence database estimate |
| $8.0M | Third-party intelligence database estimate |
| $5.8M | Early-stage seed and pre-Series A total referenced in 2016 commercial coverage |
| $2.97M | Early seed round reference only |
Variance Explanation:
The range of reported totals is attributable to three factors operating independently or in combination:
- Whether MATRIX Labs funding is counted within the AdMobilize total or tracked separately as a distinct entity
- Whether all funding rounds — including rounds with undisclosed amounts — are captured within a given database’s methodology
- The timing of data collection relative to specific rounds that were not publicly announced with confirmed amounts
The $13 million figure is most consistently aligned with primary acquisition documentation and is used as the confirmed reference total throughout this profile. The $5.8 million figure cited in 2016 commercial coverage reflects the pre-Series A and early-stage cumulative total at that point in the company’s development, not the final total.
AdMobilize Funding Round Breakdown
The following table presents all individually documented funding events in chronological order. Rounds where specific amounts have not been publicly disclosed are indicated. All entries reflect facts established through cross-referenced public records and corporate disclosures.
AdMobilize Funding Events — Chronological Record:
| Round | Approximate Period | Amount | Lead Investor | Participating Investors |
|---|---|---|---|---|
| Seed / Early Stage | Pre-2014 | ~$2.97M | Not disclosed | Not fully disclosed |
| Series A | May 2014 | $2.2M (confirmed) | Fuel Venture Capital (then Rokk3r Fuel ExO) | Azoic Ventures; individual investors |
| Series A follow-on / second close | Mid-2015 | Not publicly disclosed | Not disclosed | Not disclosed |
| Strategic investment round | 2016–2018 (estimated) | Not publicly disclosed | Not disclosed | Axel Springer; VAS Ventures; SJO Worldwide; Terranet Ventures |
| Additional round | April 2018 | Not publicly disclosed | Fuel Venture Capital | Not disclosed |
| Acquisition exit | February 2021 | $19.5M (AdMobilize and MATRIX Labs combined) | Rokk3r, Inc. | N/A — full acquisition |
Confirmed Institutional Investors — Full Record:
| Investor | Investor Type | Notes |
|---|---|---|
| Fuel Venture Capital (formerly Rokk3r Fuel ExO) | Venture Capital | Series A lead participant; affiliated with Rokk3r; $150M global fund launched in partnership with Rokk3r |
| Azoic Ventures | Venture Capital | Series A lead investor; AdMobilize identified as a most notable portfolio investment |
| Axel Springer | Strategic / Corporate VC | Confirmed investor; exited position at time of Rokk3r acquisition |
| VAS Ventures | Venture Capital | Confirmed investor across available public records |
| SJO Worldwide | Investment firm | Confirmed investor across available public records |
| Terranet Ventures | Investment firm | Confirmed investor across available public records |
| Rokk3r, Inc. | Strategic acquirer | Early investor via Rokk3r Labs affiliation; ultimate acquirer in February 2021 |
Investor Record Notes:
- Azoic Ventures maintains a portfolio of 31 companies and identifies AdMobilize as among its most notable investments.
- Axel Springer — the German media and technology group — held a strategic investor position in AdMobilize. Its exit at the time of the Rokk3r acquisition was confirmed in acquisition-period coverage.
- Fuel Venture Capital’s predecessor entity, Rokk3r Fuel ExO, was launched as a $150 million global fund in partnership with Rokk3r (then Rokk3r Labs), making Rokk3r an indirect early-stage capital provider in AdMobilize years before the formal 2021 acquisition.
- One third-party database attributes investment participation to SoftBank and Third Prime. These attributions are not corroborated by any primary corporate disclosure, acquisition announcement, or other cross-referenced intelligence record and are therefore excluded from the confirmed investor table above.
Government-Backed Loans (Documented):
In addition to private investment capital, AdMobilize received two federally backed Paycheck Protection Program loans from First Home Bank, recorded in public federal loan data. These are not equity financing events and do not represent investor participation or company dilution.
| Loan Type | Lender | Amount | Purpose |
|---|---|---|---|
| SBA PPP Loan — Round 1 | First Home Bank | $96,925 | Documented as supporting retention of 31 jobs |
| SBA PPP Loan — Round 2 | First Home Bank | $150,000 – $350,000 | Payroll retention support |
AdMobilize Estimated Annual Revenue
AdMobilize does not publicly disclose revenue figures. As a privately held subsidiary of Rokk3r, Inc., the company’s financials are not separately reported in any publicly accessible filing. All revenue estimates below are derived from third-party business intelligence platforms that apply proprietary modelling methodologies to estimate private company revenues using firmographic, technographic, and market data signals.
AdMobilize Annual Revenue — Available Estimates:
| Estimate Range | Basis |
|---|---|
| $1M – $10M | Third-party modelled estimate |
| $5M – $25M | Third-party modelled estimate |
Revenue Triangulation:
Given the absence of disclosed financials, the following independently verifiable operational data points provide contextual triangulation for assessing AdMobilize’s revenue scale:
- Client base: 200 or more clients across 80 or more countries, with a reported 30% growth in the customer base in the post-acquisition period
- Pricing model: Three-tier commercial structure — SaaS License (pay-per-license), Network (pool-based volume pricing), and Programmatic (percentage of programmatic fee). Individual price points are not publicly disclosed.
- Employee base: Reported headcount of 17 to 30 employees across available recent estimates, consistent with a SaaS company generating revenues in the single-digit to low double-digit million dollar range
- PPP loan retention data: The first PPP loan of $96,925 was documented as supporting the retention of 31 jobs, consistent with a payroll corresponding to a company of 25 to 40 employees at time of application
- Post-acquisition trajectory: A 30% customer base growth reported following the Rokk3r acquisition, with the following year projected as the most profitable in company history at time of announcement
- Competitive standing: Ranked 5th by total funding among 817 active competitors in the DOOH and OOH analytics segment, indicating an established commercial presence relative to the broader competitive field
Important Disclaimer: All revenue figures above are estimates generated by third-party intelligence platforms and should not be used for investment, procurement, financial due diligence, or strategic decision-making purposes without independent verification. AdMobilize has not publicly confirmed or denied any revenue estimate.
AdMobilize Valuation Data
Valuation History:
| Event | Reported Valuation | Notes |
|---|---|---|
| Series A — May 2014 | $7.41M | Pre-money valuation at time of Series A close |
| IP portfolio independent assessment | ~$100M | Standalone valuation of intellectual property portfolio for AdMobilize and MATRIX Labs combined; assessed at or near time of Rokk3r acquisition |
| Rokk3r acquisition — February 2021 | $19.5M | Combined purchase price for AdMobilize and MATRIX Labs; does not represent the standalone valuation of AdMobilize alone |
Valuation Context:
The gap between the $19.5 million acquisition price and the $100 million independent IP portfolio valuation is a documented data point that warrants analytical context:
- The $19.5 million figure covers two companies — AdMobilize and MATRIX Labs — in a combined transaction. No public record isolates the standalone purchase price attributed to AdMobilize alone.
- The $100 million figure is an independent assessment of the intellectual property portfolio only — patents, proprietary algorithms, and technical assets — and does not represent either company’s full enterprise value, which would additionally reflect contracted revenue, client relationships, liabilities, and operational costs.
- The acquirer, Rokk3r, Inc., was simultaneously a prior investor and a strategic holding company with an existing operational and financial relationship with AdMobilize. Acquisition prices in related-party transactions between strategic holders and their portfolio companies frequently reflect negotiated value rather than open-market enterprise valuations.
Post-Acquisition Valuation:
No post-acquisition standalone valuation for AdMobilize has been publicly disclosed. The company operates as a wholly owned subsidiary of Rokk3r, Inc., which trades on the OTC markets under the ticker ROKK. Rokk3r does not separately disclose AdMobilize’s financial contribution or independent valuation in any publicly accessible filing available at time of research.
AdMobilize Key Financial and Operational Metrics — Master Reference
| Metric | Value |
|---|---|
| Total Funding Raised | $13M (primary figure from acquisition documentation) |
| Confirmed Series A Amount | $2.2M |
| Series A Pre-Money Valuation | $7.41M |
| Acquisition Price | $19.5M (AdMobilize and MATRIX Labs combined) |
| IP Portfolio Independent Valuation | ~$100M (at time of acquisition) |
| Estimated Annual Revenue | $1M – $25M (range across available third-party estimates) |
| Current Employee Count | ~17 – 30 (range across most recent available estimates) |
| Peak Documented Headcount | ~40 employees |
| PPP Loan — Round 1 | $96,925 |
| PPP Loan — Round 2 | $150,000 – $350,000 |
| Parent Company | Rokk3r, Inc. |
| Parent Company Stock | OTC: ROKK |
| Number of Confirmed Institutional Investors | 6 (pre-acquisition) |
| Client Base | 200+ clients across 80+ countries |
| Cumulative AI Engagements Measured | 15 billion+ |
| Competitive Rank (active segment) | 42nd of 817 active competitors |
| Competitive Rank by Total Funding | 5th among active competitors |
AdMobilize Notable Clients
AdMobilize’s client base spans 200 or more organizations across 80 or more countries, with deployments across digital out-of-home networks, retail chains, shopping malls, cinema advertising environments, broadcast technology providers, and outdoor advertising operators on five continents. The company’s commercial relationships range from direct technology partnerships — in which AdMobilize’s platform is integrated into a media owner’s operational infrastructure — to network-level deployments serving end-advertisers including major global consumer brands.
The following profiles document AdMobilize’s confirmed notable clients, organized by partnership type and geographic market. Each profile presents the client’s business context, the scope of the AdMobilize deployment, and the documented commercial outcomes where available.
AdMobilize Client Overview
Client Base Summary:
| Metric | Data |
|---|---|
| Total Clients | 200+ |
| Countries Represented | 80+ |
| Continents | 5 |
| Deployments | 470+ cities documented at time of Rokk3r acquisition |
| Client Categories | DOOH networks, OOH media owners, retail chains, cinema operators, broadcast technology providers, shopping malls, brand advertisers |
Named Client and Partner Record:
| Client / Partner | Sector | Geography | Partnership Type |
|---|---|---|---|
| BackLite Media | OOH / Cinema Advertising | UAE, Bahrain (MENA region) | Technology integration and data partnership |
| Punto Visual | OOH / Billboard Advertising | Peru, Latin America | Audience measurement platform deployment |
| Pikasso Group | OOH / DOOH Network | Levant, North and West Africa, Caucasus, Italy | Audience intelligence and impression measurement |
| USSI Global | Broadcast Technology / Digital Signage | United States | Research and development for NextGen TV audience analytics |
| Tractor Outdoor | OOH Media Owner | South Africa | Audience measurement and analytics integration |
| Open Media | OOH Media Owner | United Kingdom | Camera-based audience measurement at key sites |
| Starlite Media | Retail DOOH Network | United States | Audience analytics for in-store digital inventory |
| HAVAS Media Group | Media Agency / OOH Platform | Latin America (Peru, Colombia, Chile, Brazil, Argentina, Mexico) | AdBeacon-powered Adcity Analytics platform |
| Adams + Fairway Outdoor Advertising | OOH Media Owner | United States | Vehicle measurement data at digital billboard inventory |
Retail and Brand Clients
In addition to media owner and technology platform partnerships, AdMobilize’s platform has been used to measure advertising campaigns for major global consumer brands. These brands accessed AdMobilize’s capabilities through the media owner and DOOH network partnerships in which AdMobilize’s technology was integrated, rather than through direct contracts with AdMobilize.
Documented Brand Client Record:
| Brand | Sector | AdMobilize Involvement |
|---|---|---|
| McDonald’s | Quick service restaurants | End-advertiser on OOH and DOOH networks powered by AdMobilize audience analytics |
| Nike | Sportswear and footwear | End-advertiser on OOH and DOOH networks powered by AdMobilize audience analytics |
| Reebok | Sportswear and footwear | End-advertiser on OOH and DOOH networks powered by AdMobilize audience analytics |
| HBO | Entertainment and media | End-advertiser on OOH and DOOH networks powered by AdMobilize audience analytics |
| Chanel | Luxury fashion and beauty | End-advertiser on OOH and DOOH networks powered by AdMobilize audience analytics |
Note on Brand Client Classification:
The brands listed above are documented in third-party intelligence records as clients whose campaigns were measured using AdMobilize’s platform. Their inclusion in the AdMobilize client record reflects end-advertiser exposure to AdMobilize-powered measurement through media owner deployments. Direct contractual relationships between these brands and AdMobilize are not confirmed in the publicly available record.
How AdMobilize Technology Works
AdMobilize’s platform is built on a convergence of three technologies: computer vision, edge artificial intelligence, and mobile location data. Together, these form a multi-layer measurement architecture designed to quantify real-world audiences, traffic, and behavioral patterns at physical advertising assets — entirely without capturing, storing, or transmitting personally identifiable information or raw video footage at any stage.
The platform operates across two primary deployment modes: a software-only installation on compatible Windows or Linux media players using existing IP cameras, and a hardware-plus-software deployment using AdMobilize’s proprietary AI Sensor. In both modes, all data processing occurs locally on the device before any output is transmitted to external systems.
The following subsections document the platform’s core technical architecture, its three-layer data methodology, its privacy design framework, and the full set of metrics the platform measures and reports.
Computer Vision and Edge AI Architecture
AdMobilize’s measurement capability is anchored in a computer vision and edge AI architecture that processes camera input in real time, classifies detected subjects into anonymous categories, and transmits only aggregate metadata to the cloud. The architecture is designed to operate continuously, at scale, on low-power devices, without human supervision.
Architecture Overview:
| Component | Function | Technical Detail |
|---|---|---|
| Camera Input Layer | Captures visual data from the physical environment | Compatible with existing IP cameras; recommended configuration: digital ePTZoom camera; or AdMobilize AI Sensor hardware |
| Edge Processing Engine | Executes all AI detection and classification on-device | Processing latency: 15 milliseconds per cycle; no raw footage transmitted externally |
| Detection Models | Identifies and classifies subjects in the camera field of view | Proprietary algorithms; YOLO X (You Only Look Once); SSD (Single Shot Multibox Detector) |
| Classification Layer | Assigns anonymous demographic and behavioral attributes | Age range; gender; presence confirmation; vehicle type; directional data |
| Metadata Output Layer | Transmits only anonymous, aggregated data to cloud systems | People counts; vehicle counts; timing data; demographic distributions |
| Dashboard and API Layer | Delivers data to users and downstream systems | 24/7 cloud dashboard; CSV and PDF export; full API for SSP, DSP, CMS, and planning tool integration |
Deployment Compatibility:
| Deployment Mode | Hardware Required | Operating System | Setup Time |
|---|---|---|---|
| Software on existing player | Compatible IP camera; Windows or Linux media player | Windows; Linux | Operational within 5 minutes |
| AI Sensor hardware | AdMobilize AI Sensor unit; WiFi connection | Configured via mobile phone | Instant performance tracking post-connection |
Technical Performance Specifications:
| Specification | Value |
|---|---|
| On-device processing latency | 15 milliseconds per detection cycle |
| AdBeacon legacy processing rate | 10 anonymous frames analyzed per second |
| Computer vision accuracy | 95% (stated in public company communications at time of acquisition) |
| Demographic detection accuracy | Exceeding 90% for age range and gender classification |
| Operating hours | 24/7 continuous operation |
| Network dependency for processing | None — all detection runs locally on-device |
| Data transmitted to cloud | Anonymous aggregate metadata only — never raw video or images |
AI Model Architecture:
AdMobilize’s platform incorporates multiple AI model types, each optimized for a specific detection and classification task:
- YOLO X (You Only Look Once): A real-time object detection architecture applied to people and vehicle detection. YOLO-class models are designed for high-speed processing on lower-power hardware, making them well-suited to edge deployment on standard digital signage players and IoT devices.
- SSD (Single Shot Multibox Detector): A detection framework that identifies objects and their bounding locations in a single neural network pass, contributing to the platform’s real-time processing capability without requiring sequential multi-pass analysis.
- Proprietary Detection Models: AdMobilize has developed its own purpose-trained models for audience measurement applications, including a dedicated gender detection model, a PPE (Personal Protective Equipment) detection model for industrial deployments, and vehicle classification models capable of distinguishing vehicle type and brand category.
- Demographic Classification Models: Age range and gender classification models trained and optimized specifically for the DOOH and retail measurement context, with design intent to operate without bias across ethnicities and genders.
Hardware Integration:
The platform is compatible with existing IP camera infrastructure in the majority of deployments. Where no camera infrastructure exists, AdMobilize’s proprietary AI Sensor provides a standalone, WiFi-connected hardware unit that is configured via mobile phone, requires no specialist installation, and begins performance tracking immediately upon connection. The AI Sensor is documented as requiring no more than standard power and WiFi access for full operation.
For vehicle measurement at roadside assets, the platform supports zone and Region of Interest (ROI) selection, enabling operators to define specific traffic lanes, directions, and zones for measurement — particularly relevant for double-sided billboard deployments and assets adjacent to multi-directional traffic flows.
Three-Layer Data Fusion Methodology
For OOH and DOOH network operators requiring comprehensive audience intelligence beyond what a single data source can provide, AdMobilize operates a three-layer data fusion methodology that combines physical sensor data, wireless signal data, and mobile device data into a unified analytical model. Each layer addresses a distinct measurement challenge and contributes a different category of audience insight.
Three-Layer Data Fusion Overview:
| Layer | Data Source | Primary Function | Audience Insight Generated |
|---|---|---|---|
| Layer 1 | AI Optic Sensors (Camera-based) | Real-time physical presence detection and classification | Verified impression counts; confirmed views; demographic composition; attention time; vehicle counts |
| Layer 2 | WiFi Signal Capture | Wireless device detection for foot traffic modeling | Area foot traffic volume; visit frequency; dwell time at location; impression modeling and verification across full network |
| Layer 3 | Mobile Device SDK Data | Behavioral and demographic profiling from mobile applications | Audience interests; income level indicators; purchase intent; lifestyle segmentation; GDPR-compliant demographic profiling |
Layer 1: AI Optic Sensors
Camera-based detection is the primary and most authoritative data source in AdMobilize’s measurement stack. Physical optic sensors — either existing IP cameras or AdMobilize’s AI Sensor hardware — capture live visual data at each advertising asset location. Computer vision algorithms process this data entirely on-device to produce verified counts of people and vehicles, along with anonymous demographic classifications.
This layer provides what AdMobilize describes as the most direct and accurate measurement of real-time audience exposure at a specific OOH location. Unlike estimated or modeled data, optic sensor measurements reflect actual physical presence confirmed by computer vision analysis at the point of measurement.
Key capabilities delivered by Layer 1:
- Real-time, verified people counts and vehicle counts at each asset
- Anonymous demographic classification (age range, gender)
- Attention time and confirmed view detection
- Live occupancy reporting within defined zones
- Vehicle type, speed, and directional data at roadside assets
- Heat map generation from movement pattern data
Layer 2: WiFi Signal Capture
Automated sensors strategically deployed alongside advertising assets capture WiFi signals emitted by mobile phones in proximity to each location. This data provides a complementary measure of foot traffic and visit frequency that extends the platform’s measurement capability beyond the direct camera field of view.
The WiFi signal layer serves two primary functions: enriching the platform’s understanding of audience volume at each site (including individuals outside the direct camera range), and providing a dataset for modeling and verifying impression numbers across the full network. Visit frequency data from WiFi capture enables operators to distinguish between first-time and repeat audiences at a given location — information that is not directly available from camera-based detection alone.
Key capabilities delivered by Layer 2:
- Area foot traffic volume beyond direct camera field of view
- Visit frequency tracking at each site location
- Network-wide impression number modeling and verification
- SSP multiplier calibration for programmatic trading
Layer 3: Mobile Device SDK Data
Mobile data sourced through software development kit partnerships with global mobile application providers delivers qualitative behavioral and demographic intelligence that neither camera-based detection nor WiFi signal capture can provide alone. This data layer supplements physical measurement with audience profile information derived from consented mobile app activity.
AdMobilize’s global mobile data partnerships provide access to anonymized audience profiles including behavioral interests, income level indicators, and purchase intent signals, mapped to specific site locations. All mobile data used in this layer is collected through GDPR-compliant frameworks, with audience profiles assembled from fully consented and authorized data collection processes.
Key capabilities delivered by Layer 3:
- Audience interest and behavioral segmentation at each site
- Anonymous income level and lifestyle indicators
- Purchase intent signals relevant to advertiser targeting
- Audience demographic enrichment beyond age and gender
- Geographic audience profiling across site groups and networks
Data Fusion Output:
When all three layers are active for a given site or network, the platform merges physical sensor data, wireless signal data, and mobile behavioral data into a unified audience intelligence model. This combined output enables media owners to present advertisers with a multi-dimensional picture of the audience at each location — combining the verified accuracy of camera-based impression counts with the behavioral depth of mobile audience profiling.
Detection vs. Recognition — Privacy Architecture
AdMobilize’s privacy architecture is formally defined by a single governing principle: “Detection, Never Recognition.” This principle constitutes the technical and commercial boundary between what the platform does and what it explicitly does not do, and it is the architectural foundation of the platform’s GDPR compliance and broader data privacy framework.
Detection vs. Recognition — Definitional Distinction:
| Term | Definition | AdMobilize Position |
|---|---|---|
| Detection | Confirms that a subject (person or vehicle) is present within a camera field of view; assigns anonymous statistical attributes (age range, gender, vehicle type) without identifying who the subject is | Applied by AdMobilize — the platform detects and classifies anonymously |
| Recognition | Identifies a specific individual by matching biometric features (face, gait, iris) against a reference database; produces a record linking the event to a known person | Not applied by AdMobilize — no identification, no biometric matching, no individual records created |
Privacy Architecture — Technical Implementation:
| Privacy Design Element | Implementation |
|---|---|
| On-device processing | All detection and classification runs locally on the media player or AI Sensor; raw video never leaves the physical location |
| Processing latency | Measurements are processed in as little as 15 milliseconds; the system confirms a person is present and assigns anonymous attributes in near-instantaneous cycles |
| No image storage | No video frames, photographs, or visual recordings are saved locally or transmitted to cloud systems at any point |
| No biometric templates | No facial templates, iris patterns, gait signatures, or any biometric identifier is generated, stored, or processed |
| No PII processing | No personally identifiable information is collected, processed, retained, shared, or sold at any stage of the measurement lifecycle |
| No cross-referencing | No correlation between the platform’s anonymous outputs and any other personally identifiable dataset is performed or enabled |
| Aggregate-only output | All data transmitted beyond the device is anonymous and aggregated — statistical summaries of group behavior, not records of individual events |
| Compliance framework | Privacy by Design principles incorporated into product development and data usage approach; GDPR-compliant architecture |
What AdMobilize’s Technology Does:
- Confirms the presence of a person within a defined camera zone
- Estimates age range (e.g., under 25, 25–34, 35–44) as an anonymous statistical classification
- Classifies gender as an anonymous aggregate attribute
- Counts the number of individuals passing or present
- Measures how long detected individuals remain within the zone
- Determines whether a detected individual is facing toward a display
- Classifies vehicle types and counts vehicle traffic
What AdMobilize’s Technology Does Not Do:
- Identify any specific individual by name, face, or biometric signature
- Create or retain any record linking a detection event to a specific person
- Store, transmit, or archive any image or video frame from any camera
- Process, retain, share, or sell any personally identifiable information
- Cross-reference detection data against any external database of persons
- Perform facial recognition — a distinct technology category involving individual identification
Industry Context on Terminology:
A documented misapplication of terminology in the OOH and digital signage industry conflates facial detection — which is anonymous and does not raise privacy concerns under most regulatory frameworks — with facial recognition, which identifies specific individuals and is subject to significant regulatory scrutiny. AdMobilize’s platform applies facial detection exclusively. The distinction is material: facial detection produces anonymous statistical outputs about groups, while facial recognition produces records about individuals. No regulatory framework governing AI-based advertising measurement, including GDPR and CCPA, treats anonymous facial detection equivalently to facial recognition.
Key Metrics Measured by AdMobilize
AdMobilize’s platform produces two categories of output metrics: audience metrics, derived from people detection and classification, and traffic metrics, derived from vehicle detection and classification. Both categories are generated in real time, stored in the cloud-based dashboard, and made available via API for integration into third-party systems.
Audience Metrics:
| Metric | Definition | Measurement Method |
|---|---|---|
| Impressions (OTS — Opportunity to See) | Total count of individuals detected within proximity of an advertising asset during a defined period | Computer vision people counting; counts all detected individuals within the defined measurement zone regardless of attention direction |
| Confirmed Views | Count of individuals detected as actively directing attention toward a display surface | Computer vision with gaze direction analysis; requires confirmed facing orientation toward the screen to qualify as a view |
| Gaze Thru Rate (GTR) | Ratio of confirmed views to total impressions, expressed as a percentage | Calculated as: Confirmed Views ÷ Impressions × 100; a proprietary engagement quality metric |
| Attention Time | Duration (in seconds or minutes) during which a detected individual is confirmed to be actively viewing a display | Continuous frame-by-frame tracking of attention direction within the detection zone |
| Dwell Time | Total duration a detected individual remains within the measurement zone, regardless of attention direction | Tracking of subject presence within defined zone boundaries from entry to exit |
| Age Range Classification | Anonymous estimation of the age band a detected individual falls within (e.g., under 18, 18–24, 25–34, 35–44, 45–54, 55+) | Demographic classification model applied anonymously at point of detection; output is statistical distribution across a session, not per-individual records |
| Gender Classification | Anonymous classification of detected individuals into gender categories for aggregate reporting | Gender detection model applied anonymously; output is aggregate percentage distribution, not individual-level records |
| Live Occupancy | Real-time count of individuals present within a defined physical space at a given moment | Continuous people counting within defined zone with real-time dashboard update |
| Directional Movement | Classification of the direction individuals are moving relative to a defined asset or zone | Motion vector analysis applied to tracked subjects within the detection field |
| Heat Mapping | Visual representation of movement patterns and zones of concentrated audience activity within a defined space | Aggregate spatial tracking of detected subject positions over time; outputs as color-coded density map |
Traffic Metrics:
| Metric | Definition | Measurement Method |
|---|---|---|
| Vehicle Count | Total count of vehicles passing or present within a defined measurement zone during a defined period | Computer vision vehicle detection; 24/7 continuous counting |
| Vehicle Type Classification | Categorization of counted vehicles by type | Classes: car, bus, truck, motorcycle; applied at point of detection using vehicle classification models |
| Vehicle Speed | Estimated speed of vehicles passing through the measurement zone | Motion analysis across sequential frames within the detection field |
| Vehicle Direction | Classification of vehicle movement direction relative to the asset location | Directional vector analysis; enables separation of traffic by direction for double-sided billboard deployments or multi-lane roads |
| Vehicle Brand Classification | Identification of vehicle brand or make (available via Vehicle Recognition Engine) | Advanced AI models capable of brand-level vehicle identification in real time at highway speeds |
| Pedestrian Count by Gender | Count of pedestrians passing through a roadside measurement zone, classified by gender | Applied in pedestrian-heavy zones adjacent to roadside assets; combines people counting with gender classification |
Estimated Impressions from Vehicle Data:
| Metric | Definition |
|---|---|
| Passenger Impression Estimate | Calculated metric derived from vehicle count data; applies average passenger count per vehicle type to produce an estimated total impression count for roadside OOH assets where pedestrian data is unavailable |
Metrics Delivery:
| Delivery Method | Specification |
|---|---|
| Real-time dashboard | Available 24/7 at screen, campaign, and ad levels; customizable widget selection |
| Granularity | Per-minute, per-hour, per-day, and per-campaign reporting available |
| Export formats | PDF and CSV |
| API access | Full API for integration with planning engines, SSPs, DSPs, CMS platforms, and programmatic trading systems |
| CMS triggering | Real-time audience data can trigger automated content changes in connected CMS platforms (Broadsign, BrightSign, Scala, LDSK, Doohmain) |
| Programmatic reporting | Verified impression data feeds directly into SSP multipliers for programmatic DOOH transactions |
Metrics Comparison — Audience vs. Traffic:
| Category | Core Metric | What It Measures | Primary Use |
|---|---|---|---|
| Audience | Impressions (OTS) | Total people in proximity | Total reach reporting |
| Audience | Confirmed Views | Verified attention events | Engagement quality measurement |
| Audience | Gaze Thru Rate (GTR) | Engagement ratio | Campaign effectiveness benchmarking |
| Audience | Attention Time | Engagement duration | Content performance analysis |
| Audience | Demographics | Age and gender distribution | Audience composition reporting |
| Audience | Live Occupancy | Real-time space headcount | Retail and venue operations |
| Traffic | Vehicle Count | Total vehicles passing | Roadside OOH reach measurement |
| Traffic | Vehicle Type | Vehicle category breakdown | Audience segmentation by vehicle class |
| Traffic | Vehicle Speed | Average traffic speed | Campaign relevance timing |
| Traffic | Vehicle Brand | Make and model identification | Premium demographic targeting via vehicle class |
AdMobilize Platform Features and Product Suite
AdMobilize’s platform is structured as an end-to-end intelligence system composed of seven distinct product features that operate in an integrated stack: a customizable analytics dashboard, a reporting engine, a device management and licensing layer, a site organization framework, a white label branding option, and a fully documented API with bidirectional CMS integration capability.
Each feature is available as part of the platform’s tiered commercial offering — SaaS License, Network License, and Programmatic — and all features share the same underlying data infrastructure, privacy architecture, and cloud-based delivery model. The following subsections document each feature in full, including its function, specifications, configuration options, and primary commercial applications.
Platform Feature Overview:
| Feature | Function | Primary Buyer Use Case |
|---|---|---|
| Customizable Dashboard | Real-time and historical data visualization with user-controlled widget layout | Campaign monitoring, network performance reporting, operational analytics |
| Reporting Engine | Structured data export in PDF and CSV formats with customizable scope | Client reporting, advertiser campaign delivery, post-campaign analytics |
| Device Management | License-based control and administration of all connected devices on a network | Network operators managing multi-site, multi-device DOOH deployments |
| Sites and Site Groups | Organizational framework for individual locations and grouped network collections | Network-level audience intelligence, mobile data integration, multi-site reporting |
| White Label | Fully branded dashboard experience for resellers and media owners | Technology resellers, DOOH network operators presenting data under their own brand |
| API Access | Programmatic data access for integration with external planning, trading, and CMS systems | SSP/DSP integration, programmatic DOOH, planning engine data feeds |
| CMS Integrations | Bidirectional integration with content management systems for triggering and reporting | Campaign-level reporting automation, dynamic content triggering based on live audience conditions |
AdMobilize Customizable Dashboard
The AdMobilize dashboard is the primary interface through which users access real-time and historical audience data, campaign performance metrics, and operational analytics across all connected sites and devices. It is available 24 hours a day, 7 days a week, and supports multi-user and multi-project access within a single account.
Dashboard Specifications:
| Specification | Detail |
|---|---|
| Availability | 24/7 cloud-based access |
| Access Model | Multi-user; multi-project |
| Data Scope | Per-screen; per-campaign; per-ad level granularity |
| Data Freshness | Real-time and historical |
| Reporting Granularity | Per-minute, per-hour, per-day, per-campaign |
| Customization | User-controlled widget selection and dashboard layout |
| Visualization Types | Multiple graphical representations per widget |
| Heat Map | Spatial audience concentration and movement visualization |
| Key Metrics Available | Impressions; confirmed views; Gaze Thru Rate; attention time; dwell time; age demographics; gender demographics; live occupancy; direction of movement; vehicle counts; vehicle type breakdown |
Customize Your Dashboard Feature:
AdMobilize’s dashboard includes a dedicated customization framework that allows each user to configure the layout and metric selection of their dashboard to match their specific reporting priorities and operational workflow.
The customization framework operates through a widget-based architecture:
- Each metric category — impressions, confirmed views, Gaze Thru Rate, live occupancy, directional data, demographic breakdowns, vehicle data — is available as an independently selectable widget
- Users select which widgets appear in their dashboard view, enabling a tailored display that surfaces the metrics most relevant to their role and reporting obligations
- Widgets can be arranged and reorganized within the dashboard interface
- Each widget presents data in one or more graphical formats, including charts, trend lines, comparative breakdowns, and summary statistics
- The same dashboard can serve multiple user types simultaneously — a media owner tracking impression totals across a network, an advertiser reviewing campaign-level engagement metrics, and an operations team monitoring device status — each with a different widget configuration
Heat Map Feature:
The dashboard includes a heat map visualization layer that translates movement and occupancy data into a spatial density map of audience activity within a defined physical space. The heat map overlays aggregated, anonymous tracking data onto a visual representation of the monitored environment, identifying:
- Zones of highest audience concentration
- Areas of sustained dwell time
- Movement pathways through a space
- Low-traffic zones relative to display asset positions
The heat map feature is specifically applied in retail and mall environments where understanding traffic flow, zone utilization, and display placement effectiveness within a physical space is operationally valuable.
Insights Page:
Alongside the main customizable dashboard, AdMobilize provides a dedicated Insights page within the platform that enables users to perform deeper analysis of trends, uncover audience patterns, and optimize advertising efforts based on historical data patterns across all connected sites and campaigns.
AdMobilize Reporting Engine
AdMobilize’s reporting engine enables operators, media owners, and advertisers to export structured, shareable data from the dashboard in two formats: PDF and CSV. Reports can be scoped to match specific reporting needs — from comprehensive network performance summaries to individual campaign and ad-level data extracts.
Reporting Specifications:
| Specification | Detail |
|---|---|
| Export Formats | PDF; CSV |
| Report Scope Options | Full network; individual site; campaign level; ad level |
| Report Types | Detailed performance analytics; concise executive summaries |
| Metrics Included | Impressions; confirmed views; Gaze Thru Rate; demographic distributions; attention time; vehicle data — configurable by scope |
| Customization | Report structure and scope tailored to output requirement |
| Delivery | Download from dashboard; one-click client report generation |
Proactive Notifications:
In addition to scheduled and on-demand report generation, the reporting system includes a proactive notification framework that alerts operators and users to defined threshold events or performance changes across connected sites. This capability enables operational teams to respond to real-time network conditions without continuous manual dashboard monitoring.
A/B Testing Integration:
Campaign-level reporting in AdMobilize incorporates A/B testing functionality that enables operators and advertisers to compare the audience performance of different creative executions deployed across the same or comparable sites. Metrics tracked within A/B test comparisons include impression delivery, confirmed view rates, Gaze Thru Rate, and demographic composition — providing a factual basis for creative optimization decisions.
Client Reporting Workflow:
The one-click report generation capability is specifically designed to reduce the time required for media owners to prepare and deliver campaign performance reports to advertisers. The workflow integrates campaign management data with audience measurement data into a single unified report, eliminating the need for manual data consolidation across separate systems.
AdMobilize Device Management
AdMobilize’s Device Management feature provides operators with centralized control over all devices connected to the platform across a deployment. Access to Device Management is license-based — operators acquire AdMobilize licenses that govern the installation, activation, and ongoing administration of each connected device within their network.
Device Management Specifications:
| Specification | Detail |
|---|---|
| Access Model | License-based |
| Scope | All connected devices across a deployment |
| Compatible Deployment Types | DOOH advertising networks; retail analytics deployments; digital signage measurement installations |
| Control Functions | Device installation activation; network integration; performance monitoring; operational efficiency optimization |
| Integration with Platform | Device status and performance data visible through the main AdMobilize dashboard |
License Structure:
AdMobilize licenses serve as the technical gateway to device integration within the platform. Each license corresponds to an individual device installation and enables:
- Effective integration of the device into DOOH advertising, retail analytics, and digital signage measurement workflows
- Complete network visibility and control over device-level performance
- Operational efficiency optimization across the full device fleet
- Systematic management of multi-device, multi-site network deployments
The license-based model is consistent across all three commercial tiers — SaaS, Network, and Programmatic — with network-scale deployments typically operating under pool-based licensing that aligns cost per license to total network size.
Operational Applications:
Device Management is the primary administrative tool for operators deploying AdMobilize at scale across networks of digital signage assets. The feature addresses three distinct operational requirements:
- Installation management: Activating and registering new devices as they are added to the network, ensuring seamless integration with the central platform from the point of first deployment
- Network oversight: Monitoring the operational status of all connected devices in real time, enabling rapid identification and resolution of device-level performance issues
- Measurement integrity: Ensuring that data collection remains consistent and uninterrupted across all sites, which is a prerequisite for the verified impression reporting that underpins both direct-sold and programmatic campaign delivery
AdMobilize Sites and Site Groups
AdMobilize’s Sites and Site Groups framework is the organizational architecture through which operators structure their physical locations within the platform. A Site represents an individual physical location — a single billboard, retail store, cinema, or mall unit — while a Site Group is a collection of Sites aggregated for combined reporting, management, or data collection purposes.
Sites and Site Groups Specifications:
| Element | Definition | Configuration Options |
|---|---|---|
| Site | A single physical location with one or more connected devices | Individual address, device assignment, zone and Region of Interest (ROI) definition |
| Site Group | A collection of two or more Sites organized for combined analytics | Custom groupings by geography, network type, campaign, or client |
| Data Access | Per-site and per-site-group data available in dashboard and via API | Audience measurement; traffic measurement; mobile data |
| Mobile Data Integration | Sites and Site Groups are the unit of organization through which Mobile Audience Location Data is collected and displayed | Authorized demographic insights from mobile devices gathered and displayed per site and site group |
Site-Level Configuration:
Each individual Site within the platform can be configured with:
- Zone and Region of Interest (ROI) selection: Operators define specific measurement zones within the camera field of view, enabling precise audience counting in multi-lane or complex environments — for example, separating traffic approaching from different directions at a double-sided billboard
- Device assignment: One or more devices can be assigned to each site, supporting deployments where multiple cameras or sensors are required for full coverage
- Data synchronization: Site-level audience data is synchronized with CMS data at the campaign and ad level, enabling impression data to be attributed to specific content plays
Site Group Applications:
Site Groups enable operators to structure their network in ways that reflect commercial and operational reality:
- A retail chain can group all stores in a single city as one Site Group for regional reporting
- A media owner can group all assets within a single shopping mall concession as one Site Group for client billing
- A programmatic DOOH operator can group sites by audience demographic composition for SSP audience packaging
- An OOH operator can group sites by advertiser campaign for per-campaign impression reporting delivered directly to the buyer
Mobile Data Integration Through Sites:
The Sites and Site Groups framework is the primary mechanism through which AdMobilize’s Mobile Audience Location Data product operates. By designating sites within the platform, operators activate the collection of authorized mobile device demographic data associated with audiences in proximity to each location. This data is then aggregated at the Site and Site Group level and displayed within the same dashboard as physical sensor data, providing a unified view of audience composition from both computer vision and mobile data sources.
AdMobilize White Label
AdMobilize’s White Label option enables technology resellers, DOOH network operators, and media owners to present the AdMobilize analytics platform to their clients under their own brand identity, rather than under the AdMobilize brand. The core platform functionality, data infrastructure, and measurement capabilities remain identical to the standard platform — only the visual branding and identity layer presented to end clients is customized.
White Label Specifications:
| Specification | Detail |
|---|---|
| Branding Capability | Full branded dashboard experience under the operator’s brand identity |
| Client Access | Clients access data through the operator’s branded dashboard |
| Platform Functionality | Identical to standard AdMobilize platform — all measurement, reporting, and data features included |
| Target User | Technology resellers; DOOH network operators; media owners presenting analytics as a proprietary service |
| Market Applications | Direct advertiser and agency reporting; retail media network analytics; cinema audience data delivery |
Three Commercial Benefits of White Label:
Enhanced Brand Consistency: Operators who have built their own brand equity in the OOH, retail, or digital signage market can present audience analytics as a seamless component of their own product suite. Clients interact with the operator’s brand throughout the analytics experience, reinforcing the media owner’s positioning as a data-driven advertising partner rather than a technology reseller.
Streamlined Stakeholder Collaboration: A unified, branded dashboard provides a single interface through which advertisers, agencies, and internal teams can access campaign performance data. This eliminates the friction of directing clients to a third-party platform and simplifies the communication and approval workflows associated with campaign reporting and optimization.
Rapid Market Deployment: The White Label option leverages AdMobilize’s existing measurement infrastructure, eliminating the need for operators to build proprietary analytics systems from the ground up. Operators can deploy a fully branded, fully functional audience analytics offering to their clients without the development investment, data science capability, or infrastructure costs that a comparable proprietary system would require.
Documented Client Applications:
The White Label option is directly applicable to the following documented use cases within AdMobilize’s client base:
- BackLite Media’s BackLite Intelligence division — a branded analytics service presented to cinema advertisers as a proprietary BackLite capability
- Media owners presenting DOOH impression data to programmatic buyers under their own network brand
- Retail operators providing in-store audience analytics to brand advertisers as part of a retail media offering
AdMobilize API Access and CMS Integration
AdMobilize provides a documented API that enables operators and technology partners to access all platform data programmatically, integrate audience measurement data into third-party systems, and receive real-time data feeds for campaign management, programmatic trading, and planning engine applications.
API Specifications:
| Specification | Detail |
|---|---|
| Access Model | Available across all three pricing tiers (SaaS License, Network, Programmatic) |
| Authentication | Standard API authentication via account credentials |
| Data Available via API | All dashboard metrics: impressions; confirmed views; GTR; demographics; vehicle data; live occupancy; directional data; per-site, per-campaign, per-ad level |
| Real-time Capability | Real-time data feed available for live campaign management and programmatic triggers |
| Integration Targets | Planning engines; local CMS; SSPs; DSPs; programmatic trading systems; custom analytics platforms |
API Application Categories:
| Application | Description |
|---|---|
| Campaign Planning | Feed verified audience data into planning engines to inform media buying decisions using actual sensor-measured audience composition at each site |
| Programmatic Trading | Supply real-time impression data to SSPs and DSPs to power CPM calculations for programmatic DOOH transactions |
| SSP Multiplier Automation | Automatically update impression multipliers on connected SSPs using real-time sensor data, eliminating manual multiplier uploads |
| CMS Triggering | Feed live audience conditions (e.g., current demographic composition, occupancy level, traffic type) to connected CMS platforms to trigger context-appropriate content delivery |
| Custom Reporting Integration | Route audience data into operator-owned BI tools, dashboards, or advertiser portals for custom reporting workflows |
| Post-Campaign Analytics | Pull structured campaign performance data for inclusion in automated post-campaign reporting |
Supported CMS Integrations:
AdMobilize’s platform maintains documented, active integrations with the following CMS platforms, enabling bidirectional data exchange for both reporting and real-time content triggering:
| CMS Platform | Integration Type | Capabilities |
|---|---|---|
| Broadsign | Bidirectional — reporting and triggering | Campaign-level and ad-level audience data; impression verification; automated SSP multiplier updates; A/B testing; dynamic content triggering; Broadsign Reach SSP integration for programmatic |
| BrightSign | Hardware and CMS integration | Screen-level audience measurement data; campaign performance reporting; hardware compatibility |
| Scala | CMS integration | Campaign analytics and content performance data |
| LDSK | CMS integration | Reporting and data synchronization |
| Doohmain | CMS integration | Campaign management data sync |
Programmatic SSP and DSP Connectivity:
Beyond CMS integration, AdMobilize’s API connects directly with supply-side and demand-side platforms to enable fully programmatic DOOH campaign execution using verified sensor data:
| Platform Type | Integration Purpose |
|---|---|
| Broadsign Reach (SSP) | Real-time impression data feeds into programmatic inventory; automated multiplier updates based on live audience measurement |
| Hivestack (SSP) | Audience data integration for programmatic DOOH transactions |
| DSP connectivity | API enables any compatible DSP to receive AdMobilize audience data for campaign targeting and reporting |
CMS Triggering — How It Works:
The CMS triggering capability is one of the platform’s most commercially significant integration features. Rather than using static content schedules, operators who integrate AdMobilize’s API with a compatible CMS can configure campaigns that respond dynamically to real-world audience conditions:
- A campaign targeting a female audience aged 25–44 can be configured to display automatically when the AdMobilize platform detects a concentration of that demographic at a specific screen location
- A roadside billboard can serve luxury automotive advertising when AdMobilize’s vehicle recognition detects a high proportion of premium vehicle traffic passing the asset
- A retail screen can display a promotional message for a specific product category when AdMobilize’s people counting detects a surge in footfall at a corresponding store section
This capability enables AdMobilize clients to offer advertisers a programmatic-like targeting experience on digital assets without requiring formal programmatic infrastructure — the audience data triggers content delivery through the existing CMS workflow.
Platform Integration Architecture Summary:
| Layer | Component | Direction |
|---|---|---|
| Data collection | Computer vision on-device + WiFi sensors + mobile SDK data | Inbound to platform |
| Processing | Edge AI on local device | Local |
| Storage and aggregation | Cloud-based dashboard and data store | Platform internal |
| API output | Real-time and historical data feeds | Outbound from platform |
| CMS integration | Bidirectional — data in for content triggering; data out for reporting | Bidirectional |
| SSP/DSP integration | Impression data outbound to programmatic platforms | Outbound from platform |
| Dashboard access | User interface for all data categories | User-facing |
| Export | PDF and CSV reports | Outbound on demand |
AdMobilize Integrations and Technology Ecosystem
AdMobilize’s platform is designed for interoperability across the DOOH and OOH technology stack. The integration architecture enables AdMobilize audience data to flow bidirectionally between the measurement platform and the content management, programmatic trading, and media planning systems that operators use to run their networks. This connectivity is what transforms verified sensor data into operational intelligence — feeding campaign reporting, triggering dynamic content delivery, and automating programmatic impression multipliers without manual intervention.
The following subsections document each confirmed integration in technical detail, covering the integration type, capabilities enabled, data flows, and commercial applications for each connected platform.
AdMobilize Integration Ecosystem Overview:
| Platform | Category | Integration Type | Primary Function |
|---|---|---|---|
| Broadsign | CMS / SSP | Bidirectional — reporting and triggering | Campaign-level audience reporting; dynamic content triggering; live data feed to Broadsign Reach SSP; impression multiplier automation |
| BrightSign | Hardware Player / CMS | Software and CMS integration | Native AdMobilize software on BrightSign player; Author CMS triggering; screen, campaign, and ad-level reporting |
| LDSK (LiveDOOH Signkick) | Media Owner Platform / SSP | Automated data integration | Automatic first-party audience data flow; statistical audience prediction; programmatic transaction enablement |
| Ayuda Media Systems | OOH ERP / CMS | CMS integration | Audience measurement and vehicle analytics within Ayuda Platform; real-time campaign performance reporting |
| Adomni | DOOH Marketplace / DSP | API data integration | Real-time audience intelligence data within Adomni marketplace; audience-based inventory search for buyers |
| Scala | CMS | CMS integration | Campaign analytics and content performance reporting |
| Doohmain | CMS | CMS integration | Reporting and data synchronization for campaign management |
| Broadsign Reach | SSP (Programmatic) | Live data feed | Real-time audience data for programmatic DOOH transactions; automated CPM calculation |
| Hivestack | SSP (Programmatic) | Programmatic connectivity | Audience data integration for programmatic DOOH inventory |
AdMobilize Broadsign Integration
The Broadsign integration is AdMobilize’s most comprehensive and commercially significant CMS connection. Formally announced as a dedicated partnership in February 2020 — following a period of prior client-level collaboration between the two companies — the Broadsign integration is documented as a core feature within the AdMobilize platform, not an optional add-on.
About Broadsign:
Broadsign is a leading digital out-of-home marketing technology platform whose infrastructure powers more than 425,000 signs in airports, shopping malls, health clinics, transit systems, and other venue categories globally. The Broadsign platform includes content distribution and playback, proof of performance reporting, sales inventory management, proposal generation, and automated programmatic DOOH transactions via its Broadsign Reach SSP.
Integration Specifications:
| Specification | Detail |
|---|---|
| Integration Type | Bidirectional — data reporting outbound to Broadsign; content triggering inbound from Broadsign |
| Data Direction | AdMobilize audience data passed to Broadsign in real time |
| Reporting Levels | Network; Screen; Campaign; Impressions (Ad level) |
| Programmatic Connection | Live audience data feed to Broadsign Reach SSP |
| SSP Automation | Automatic updating of Impression Multipliers on Broadsign Reach without manual upload |
| Campaign Formats Supported | Bus shelters; digital billboards; wallscapes; and other DOOH formats |
| Dashboard Access | Real-time insights and reports via AdMobilize’s intuitive dashboard; fully verified impressions per screen and campaign |
| A/B Testing | Dynamic A/B testing of diverse creative executions with audience data attribution per ad copy |
| Content Triggering | Data-based content triggering in real time based on live audience conditions |
Three Integration Capability Layers:
The Broadsign integration operates across three functional layers, each serving a distinct operational and commercial purpose:
Layer 1 — Measurement: Audience measurement data is generated per content play and attributed to the specific campaign and ad copy being displayed at the time of measurement. This enables Broadsign network operators to report granular audience metrics at the ad copy level — not just the screen or campaign level — giving advertisers verifiable data on which creative executions reached which demographic compositions. Anonymous, aggregated metrics available within this layer include total impressions, attention time, gender distribution, age distribution, Gaze Thru Rate, and vehicle volume and speed for roadside assets.
Layer 2 — Dynamic Content Triggering: Real-time audience data from AdMobilize feeds directly into Broadsign’s content management logic, enabling operators to configure campaigns that serve specific creative executions only when defined audience conditions are met. This transforms static digital signage campaigns into context-responsive advertising systems:
- A campaign can be configured to display only when a specific gender or age band is detected in front of the screen
- A roadside asset can serve premium automotive advertising only when AdMobilize’s vehicle recognition detects a predominance of luxury vehicles
- A retail screen can serve a promotional offer only when AdMobilize detects the presence of a defined minimum audience concentration
Layer 3 — Programmatic SSP Automation: AdMobilize audience analytics data feeds live into Broadsign Reach, the Broadsign supply-side platform. This live data connection enables two outcomes: first, it provides DSP buyers with accurate, sensor-verified audience data at each inventory location, improving campaign performance confidence and CPM justification; second, it automates the updating of Impression Multipliers on Broadsign Reach, eliminating the need for media owners to manually submit updated multipliers as audience compositions change over time.
Broadsign Reach had grown 460% in the year prior to the formal AdMobilize integration announcement, reflecting the market trajectory toward verified-data-driven programmatic DOOH at the time the integration was commercially deployed.
AdMobilize BrightSign Integration
BrightSign is a leading digital media player manufacturer and CMS provider widely deployed in retail, restaurant, hospitality, and corporate digital signage environments. The AdMobilize BrightSign integration is a multi-level connection that operates at the hardware, software, and CMS layers simultaneously — making it one of the more technically comprehensive integrations in AdMobilize’s ecosystem.
About BrightSign:
BrightSign produces solid-state digital media players that serve as the playback hardware for digital signage content in retail and commercial environments. BrightSign’s Author CMS is used by operators and content teams to design, schedule, and manage content delivery across BrightSign player networks. BrightSign hardware is widely deployed across retail chains, quick service restaurants, and commercial digital signage installations globally.
Integration Specifications:
| Specification | Detail |
|---|---|
| Integration Type | Hardware player + software + CMS (multi-layer) |
| Software Deployment | AdMobilize’s audience measurement software runs natively on the BrightSign media player |
| CMS Integration | BrightSign’s Author CMS integrated into AdMobilize’s dashboard |
| Triggering Capability | Triggering conditions established within BrightSign CMS based on live AdMobilize audience data |
| Reporting Levels | Network; Screen; Campaign; File (Ad level) |
| Audience Data Measured | Passersby counts; engagement levels; demographics (age, gender); attention times |
| Dynamic Content | Content delivered only when defined audience conditions are confirmed — right audience in front of signage |
| SSP Automation | Automatic updating of Impression Multipliers on connected SSPs |
| Privacy | Full Privacy by Design architecture — no personal data recorded or stored |
Three Integration Capability Layers:
Layer 1 — Measurement: Audience data is captured per content play at screen level and reported up to campaign and network level. This enables BrightSign-based digital signage networks to provide content owners and advertisers with verified audience metrics — including passersby counts, confirmed engagement levels, demographic composition, and attention duration — attributed to each individual file or content item served.
Layer 2 — Dynamic Content Triggering: Triggering conditions defined within BrightSign’s Author CMS use live AdMobilize audience data as the activation criterion. Content is delivered only when the real-time audience composition matches the defined targeting parameters. This ensures that advertising campaigns reach the intended audience segments without requiring manual scheduling adjustments or time-of-day approximations.
Layer 3 — Programmatic Automation: Impression Multipliers on connected SSPs are updated automatically based on real-time AdMobilize audience data, providing programmatic buyers with accurate, continuously refreshed audience data for BrightSign-connected inventory.
Retail Application:
The BrightSign integration is specifically documented as a retail-optimized deployment. The commercial objectives cited for retail deployments include:
- Optimizing digital signage content to increase in-store basket size through audience-relevant messaging
- Selling advertising space within retail digital signage networks with verified audience impression data
- Delivering improved customer experiences by serving content relevant to the audience actively present in front of each screen
AdMobilize LDSK (LiveDOOH Signkick) Integration
LDSK — the platform formed from the merger of LiveDOOH and Signkick — is a media owner platform and programmatic DOOH trading system. The AdMobilize LDSK integration was documented as a world-first automated audience data integration at the time of its release, enabling automatic, no-intervention data flow between AdMobilize’s sensor platform and the LDSK media owner management system.
Integration Specifications:
| Specification | Detail |
|---|---|
| Integration Type | Automated first-party data integration |
| Data Flow | AdMobilize sensor data automatically integrated into LDSK platform without manual intervention |
| Primary Function 1 | Statistical prediction of expected audience attendance for the next several weeks, based on extrapolation from historical sensor observations |
| Primary Function 2 | First-party audience data layer enabling automated and programmatic DOOH transactions |
| Automation Level | Eliminates manual planning and data submission processes that would otherwise require significant time and resource investment |
| Trading Capability | Enables sophisticated automated and programmatic trading using verified sensor-based audience data |
Operational Significance:
The LDSK integration addresses a specific operational gap in the DOOH programmatic ecosystem: the disconnect between real-world audience measurement data and the inventory management systems through which media owners price and sell their inventory. Prior to automated integrations of this type, media owners were required to manually extract audience data from measurement platforms and upload it into trading and inventory systems — a time-intensive process that also introduced delays between data generation and its application to commercial decisions.
The AdMobilize LDSK integration eliminated this gap by establishing a direct, automated data pipeline. The two specific outputs this automation enables are:
- Predictive audience modeling: Historical sensor data from AdMobilize is automatically processed within the LDSK system to generate forward-looking estimates of expected audience composition at each location — enabling media owners to package and price inventory based on predicted as well as historical audiences
- Programmatic transaction enablement: The first-party audience data layer provides the verified audience signal that SSPs and DSPs require to execute programmatic DOOH transactions at accurate impression values
AdMobilize Ayuda Media Systems Integration
Ayuda Media Systems is an OOH-specific enterprise resource planning platform used by major OOH media companies globally for inventory management, contract management, invoicing, financial reporting, and digital signage operations. The AdMobilize Ayuda integration, announced at the DPAA Summit in October 2017, provides Ayuda Platform users with AI-based audience analytics and vehicle measurement capability embedded within their existing operational platform.
Integration Specifications:
| Specification | Detail |
|---|---|
| Integration Type | CMS and analytics integration within Ayuda Platform |
| Data Available | Audience measurement data; vehicle analytics data |
| Reporting Access | Real-time campaign performance reporting viewable by both site operator and advertiser |
| Deployment Scale | Compatible with all D/OOH campaigns globally — no geographic or network size restriction |
| Data Granularity | Per-site and per-advertiser campaign performance metrics |
The integration provides Ayuda Platform users with access to audience intelligence directly within the operational platform they use for day-to-day OOH media management, eliminating the need for separate reporting systems or manual data transfers between measurement and operations platforms.
AdMobilize Adomni Integration
Adomni is an open online marketplace for finding and purchasing digital out-of-home advertising, functioning as a DOOH ad-buying platform for brands and agencies. The AdMobilize Adomni integration, established in September 2018, embeds real-time AdMobilize audience intelligence data directly into the Adomni marketplace and ad-serving platform.
Integration Specifications:
| Specification | Detail |
|---|---|
| Integration Type | API-based automated data integration |
| Data Direction | AdMobilize live audience data → Adomni ad-serving platform and marketplace |
| Buyer Capability | Buyers can search Adomni inventory by audience composition — right audience, right place, right time |
| Media Owner Benefit | DOOH media owners can boost revenue by reporting verified audience metrics within the Adomni platform |
| Data Mechanism | Automated programming interface (API) populates live audience data into Adomni platform continuously |
AdMobilize Scala Integration
Scala is a content management system and digital signage software platform used for campaign management, content scheduling, and audience analytics across a range of retail, corporate, and public-facing digital signage deployments. AdMobilize integrates with Scala to provide CMS-level audience measurement data within the Scala platform environment.
Integration Specifications:
| Specification | Detail |
|---|---|
| Integration Type | CMS integration |
| Data Available | Campaign analytics; content performance data |
| Primary Application | Audience measurement data surfaced within existing Scala campaign management workflows |
AdMobilize Doohmain Integration
Doohmain is a digital signage CMS platform serving OOH and DOOH network operators. AdMobilize’s integration with Doohmain provides reporting and data synchronization capabilities for operators managing their content and campaign operations within the Doohmain environment.
Integration Specifications:
| Specification | Detail |
|---|---|
| Integration Type | CMS integration |
| Data Available | Audience measurement reporting; campaign data synchronization |
| Primary Application | Reporting and triggering within the Doohmain campaign management workflow |
AdMobilize Programmatic SSP and DSP Connectivity
Beyond named CMS integrations, AdMobilize’s platform connects to the programmatic DOOH trading infrastructure through two primary SSP relationships and open API connectivity that supports any compatible DSP.
Programmatic Architecture:
| Platform Type | Platform | Integration |
|---|---|---|
| SSP | Broadsign Reach | Live audience data feed; automated impression multiplier updates; CPM verification |
| SSP | Hivestack | Audience data integration for programmatic DOOH inventory management |
| DSP | Any compatible DSP | API-based audience data access for campaign targeting and performance reporting |
How Programmatic Integration Works:
AdMobilize’s programmatic connectivity operates through three sequential mechanisms:
Step 1 — Impression Multiplier Provision: Each connected media owner supplies SSPs with impression multipliers — figures that translate play counts into estimated audience impressions for CPM-based programmatic transactions. Traditionally, these multipliers were static figures derived from panel surveys or traffic estimates and submitted manually. AdMobilize’s integration replaces static multipliers with dynamic, sensor-verified data that updates automatically based on real-time audience measurement, ensuring that CPMs reflect actual verified audience conditions rather than historical estimates.
Step 2 — Live Audience Signal: As campaigns run programmatically, AdMobilize’s real-time data provides DSP buyers with a continuous live signal of the audience composition at each inventory location. This enables campaign optimization decisions — adjusting bids, redirecting spend, or modifying targeting — based on actual measured audience data rather than modeled predictions.
Step 3 — Post-Campaign Verification: Following campaign delivery, AdMobilize’s sensor data provides a verified impression record that documents the actual audience delivered against the campaign parameters. This post-campaign verification layer gives advertisers the confidence that CPMs were calculated on real measured audiences, not estimates — a capability that is foundational to the long-term credibility and growth of programmatic DOOH as a trading channel.
The Commercial Impact of Programmatic Integration:
The combination of automated multiplier updates, live audience signals, and post-campaign verification produces three measurable commercial outcomes for media owners operating AdMobilize with programmatic SSP connectivity:
- Higher CPMs: Verified, real-time audience data justifies premium pricing that static survey-based multipliers cannot support
- Increased buyer confidence: Programmatic buyers can transact with confidence that impression data reflects actual measurement, reducing post-campaign discrepancy disputes
- Reduced operational overhead: Automated multiplier updates eliminate the time and resource cost of manual data submission to each SSP, allowing media owner teams to focus on revenue generation rather than data management
Full Integration Ecosystem Summary:
| Integration Category | Platforms | Primary Output |
|---|---|---|
| CMS — Reporting and Triggering | Broadsign; BrightSign (Author CMS); LDSK; Ayuda; Scala; Doohmain | Campaign-level audience data within CMS; dynamic content triggering based on live audience |
| Programmatic SSP | Broadsign Reach; Hivestack | Automated impression multipliers; live CPM data; verified post-campaign impression records |
| DOOH Marketplace | Adomni | Real-time audience data for inventory discovery and media buying decisions |
| Broadcast Technology | USSI Global (ATSC 3.0) | Audience analytics for NextGen TV broadcasts and digital signage in broadcast environments |
| API (Open) | Any compatible DSP or planning tool | Full platform data access for custom integration with proprietary or third-party planning, trading, and reporting systems |
AdMobilize Use Cases by Industry
AdMobilize’s platform is designed to serve distinct buyer categories across the physical advertising and retail intelligence landscape. Each industry vertical presents a specific set of measurement challenges — from proving campaign ROI at a roadside billboard to optimizing staff allocation inside a chain retail store to enabling a programmatic DOOH operator to trade verified impressions at scale. AdMobilize’s architecture addresses each of these challenges through the same core technology stack applied to industry-specific configurations and integrations.
The following subsections document each primary use case in operational detail, covering the commercial problem being addressed, the specific AdMobilize capabilities deployed, the data outputs generated, and the measurable business outcomes documented across deployments in that vertical.
AdMobilize Use Case Overview by Industry:
| Industry | Primary Buyer | Core Challenge Addressed | AdMobilize Solution Applied |
|---|---|---|---|
| DOOH and OOH Media Owners | Network operators, media owners | Replacing estimated impressions with verified, real-time audience data for campaign reporting and programmatic trading | Audience measurement; traffic measurement; three-layer data fusion; SSP multiplier automation |
| Retail Chains | Retail operations, marketing, retail media teams | Quantifying in-store visitor behavior, optimizing staff and displays, monetizing in-store digital signage | Footfall counting; heat mapping; demographic analytics; retail media programmatic connectivity |
| Shopping Malls | Mall management, advertising sales | Measuring shopper journeys across multi-venue display networks; selling DOOH inventory programmatically | Shopper journey measurement; zone-level heat mapping; SSP integration for programmatic ad sales |
| Events and Live Venues | Event organizers, venue management | Measuring attendee engagement at event digital signage; optimizing content and advertising space sales | People counting; engagement metrics; content optimization through audience data |
| Programmatic DOOH Operators | SSPs, DSPs, trading desks, network operators | Providing verified, sensor-based audience data to support programmatic CPM transactions | Real-time data feeds to Broadsign Reach, Hivestack, Vistar Media; automated multiplier updates |
| Cinema Advertising | Cinema OOH operators, brand advertisers | Providing verified audience data for cinema advertising inventory beyond ticket-sales estimates | Audience measurement at screen level; demographic reporting for cinema advertisers |
| Broadcast and NextGen TV | Broadcast technology providers | Applying physical-world audience measurement methodology to broadcast advertising contexts | Audience analytics via ATSC 3.0 IP backbone; emotional reaction data; impression measurement |
| Agencies and Media Planners | Media agencies, planning teams | Accessing site-level audience data for DOOH planning with the same confidence as digital media | Site-level analytics API; planning tool data feeds; verified post-campaign impression records |
| Digital Signage Resellers | System integrators, AV resellers | Adding audience intelligence capability to digital signage offerings without building proprietary analytics | White label platform deployment; API integration; plug-and-measure hardware compatibility |
DOOH and OOH Media Owners and Network Operators
DOOH and OOH media owners represent AdMobilize’s primary commercial market and the use case for which the platform’s core architecture was designed. The fundamental challenge this segment faces is one of measurement credibility: OOH advertising has historically been bought and sold on the basis of modeled audience estimates derived from government traffic surveys, panel research, and demographic projections. These estimates are neither real-time nor location-specific, and they cannot be verified at the campaign level. Advertisers purchasing OOH inventory have no mechanism to confirm that the estimated audience was actually present during the campaign flight.
AdMobilize directly addresses this credibility gap by replacing estimated data with sensor-verified audience counts, generating a continuous, real-time record of who was actually present at each advertising asset during each content play.
Operational Application:
| Operational Stage | AdMobilize Capability Applied | Output Generated |
|---|---|---|
| Pre-campaign planning | Site-level historical audience data fed to planning tools via API | Verified audience composition per site for media plan construction |
| Campaign setup | CMS integration with Broadsign, LDSK, or other platforms | Campaign and ad-level measurement activated at point of trafficking |
| Live campaign monitoring | Real-time dashboard — impressions, confirmed views, demographics, GTR | Campaign performance data updated in real time per screen |
| Programmatic trading | Automated SSP multiplier updates — Broadsign Reach, Hivestack, Vistar Media | Verified CPM data supplied to programmatic buyers without manual submission |
| Dynamic content delivery | Audience-triggered CMS content switching | Content serves only when defined audience conditions are confirmed at screen |
| Post-campaign reporting | One-click PDF and CSV report generation per campaign and ad | Verified impression records delivered to advertisers as proof of performance |
Three Core Commercial Outcomes for Media Owners:
- Premium pricing justification: Verified sensor data provides a factual basis for CPMs that panel-based estimates cannot support, enabling media owners to command higher rates for inventory backed by real audience measurement
- Programmatic market participation: Automated integration with Broadsign Reach, Hivestack, and Vistar Media enables media owners to participate in programmatic DOOH transactions without the operational overhead of manual multiplier submissions to each SSP
- Advertiser retention: Post-campaign impression records shift the media owner’s relationship with advertisers from estimated projection to verified delivery — a structural improvement in advertiser confidence and campaign renewal rates
Supported OOH Formats:
AdMobilize’s platform is documented as deployable across a broad range of OOH and DOOH formats, applying the same measurement methodology regardless of physical format type:
- Digital roadside billboards and unipoles
- Bus shelters and transit shelter displays
- Digital wallscapes and large format displays
- Airport and transit system digital signage
- Street furniture digital displays
- Drive-through and quick service restaurant displays
- Place-based digital signage (health clinics, gyms, petrol stations)
Retail Chains
Retail chains represent AdMobilize’s second major use case vertical. The core challenge in retail is distinct from OOH — rather than measuring audiences at an outdoor advertising asset, the objective is to quantify in-store visitor behavior at a level of granularity that enables operational decisions: how many people entered the store, which zones they visited, how long they stayed, what demographic composition they represent, and how the digital signage content served during their visit performed.
AdMobilize’s footfall counter for retail combines people counting, heat mapping, demographic analytics, and digital signage measurement into a single platform that operates across individual stores and at the chain level simultaneously.
Retail Operational Applications:
| Application | AdMobilize Capability | Business Outcome |
|---|---|---|
| Footfall counting | Entry and exit counting per store, per zone, per time period | Accurate visitor counts replacing manual click-counter data |
| Staff level optimization | Real-time and historical footfall data correlated with store trading hours | Right-sizing staff allocation to actual visitor patterns |
| Product display optimization | Heat map of customer movement through store zones | Identifies which display locations attract sustained attention and which are bypassed |
| POS data correlation | Footfall data layered against point-of-sale transaction records | Conversion rate analysis — visitors to purchasers — at zone and store level |
| Demographic insight | Anonymous age and gender classification across store visitors | Informs product range, messaging, and campaign targeting per store location |
| Digital signage content optimization | Audience data per content play across in-store screens | Identifies which content executions generate confirmed views vs passive exposure |
| Retail media monetization | SSP and programmatic platform connectivity for in-store DOOH inventory | In-store screen inventory packaged and sold programmatically to CPG and brand advertisers |
| Targeted in-store messaging | Audience-triggered content delivery based on live visitor demographics | Right message delivered to the right audience present in front of each screen |
| Multi-store network reporting | Site Groups for chain-level aggregation | Chain-wide and per-store performance dashboard accessible from single login |
Retail Heat Mapping:
The heat map feature is particularly significant in the retail use case. Aggregate, anonymous movement tracking across a defined store floor plan produces a density visualization that identifies:
- High-traffic zones that receive disproportionate audience concentration relative to their physical size
- Low-traffic zones where display placement or product positioning may be sub-optimally configured
- Dwell-time hotspots — areas where visitors spend extended time, indicating high engagement or navigation friction
- Movement pathways from store entry to key product categories
This data directly informs store layout decisions, in-store signage placement, and product display configuration — enabling retailers to optimize the physical environment based on evidence rather than observation.
Retail Media Monetization:
An increasingly significant application within the retail chains use case is the monetization of in-store digital signage through retail media network structures. AdMobilize enables retailers to:
- Package in-store screen inventory with verified footfall and demographic data for sale to brand advertisers and CPG companies
- Connect in-store screens to programmatic platforms using the same SSP connectivity deployed in DOOH networks
- Provide brand advertisers with post-campaign impression records that verify the audience delivered at each screen location
- Link screen-level audience data to proximity-to-purchase metrics, providing the last-point-of-influence measurement that retail media advertisers require
Shopping Malls
Shopping malls occupy a distinct position within AdMobilize’s use case portfolio because they are simultaneously physical retail environments and advertising media owners. A shopping mall operator manages footfall across multiple retail units, food and beverage venues, and common areas — while also operating a DOOH advertising network across that same physical space. AdMobilize addresses both dimensions within a single platform deployment.
Mall Operational Applications:
| Application | AdMobilize Capability | Business Outcome |
|---|---|---|
| Shopper journey measurement | Multi-zone footfall counting and movement tracking across the full mall floor plan | Complete picture of how shoppers move through the venue from entry to exit |
| Zone-level audience intelligence | Audience counts and demographic data per defined zone | Identifies which mall zones and anchor tenant areas attract the largest and highest-value audiences |
| DOOH impact measurement | Screen-level audience data for mall advertising displays | Verifies how many shoppers viewed each advertising placement and for how long |
| Programmatic ad inventory | SSP connectivity for mall DOOH network | Mall advertising inventory packaged with verified audience data and sold programmatically |
| Tenant performance reporting | Zone-level footfall data attributable to individual retail unit areas | Data for lease negotiations and tenant mix optimization |
| Heat map visualization | Aggregate movement density across full mall floor plan | Identifies high-value vs. low-value advertising locations within the mall estate |
| Retail store heat map | Individual store-level heat mapping within the mall | Store-specific traffic flow for tenant retailers who deploy AdMobilize within their units |
| Plug and play deployment | Software-only installation on existing camera infrastructure | No additional hardware procurement required across existing camera estate |
Shopper Journey Framework:
AdMobilize’s mall deployment model tracks the shopper journey in three progressive stages, each generating a distinct category of actionable data:
- Entry and total footfall: How many shoppers entered the venue across each time period, with demographic composition and directional flow from entry points into the mall body
- Zone distribution: How shoppers distributed themselves across zones, including dwell time per zone, return visit frequency, and time-of-day traffic patterns per area
- Display engagement: Of shoppers present within range of each DOOH display, how many confirmed views were generated and for how long — providing the engagement layer on top of raw footfall data
This three-stage framework enables mall operators to present advertisers with a complete audience story: the total number of shoppers in the venue, their distribution across zones, and the verified engagement generated at each specific advertising display.
Events and Live Venues
Events and live venues represent an application of AdMobilize’s platform in temporary and high-density audience environments. The core challenge for event organizers and venue operators is the same as for permanent OOH networks — quantifying how many people attended, where they concentrated, and how they engaged with digital signage and advertising displays — but within a context where footfall patterns are highly variable and audience composition shifts rapidly across the event timeline.
Event Operational Applications:
| Application | AdMobilize Capability | Business Outcome |
|---|---|---|
| Attendee counting | Real-time and cumulative footfall counting at venue entry points and defined zones | Verified attendance figures replacing ticket-count estimates for actual in-venue measurement |
| Zone-level traffic management | Real-time occupancy and movement data per venue zone | Enables organizers to identify overcrowding, direct traffic, and optimize content placement |
| Digital signage engagement | Audience measurement per display within the venue | Verified impression and confirmed view data for event advertising inventory |
| Advertising space monetization | Impression data for event DOOH inventory | Factual basis for pricing event advertising space based on verified audiences rather than estimated attendance |
| Content optimization | Gaze Thru Rate and attention time per content execution | Identifies which event messaging and advertising creative generated strongest engagement |
| Demographic composition | Anonymous age and gender classification of event audience | Audience profile data for event sponsors and advertisers |
Programmatic DOOH Operators
Programmatic DOOH operators — including SSPs, DSPs, and network operators who have integrated programmatic selling into their inventory management — represent a technically demanding use case that requires AdMobilize’s data to function as a live, automated data feed rather than a periodically updated reporting tool.
The foundational requirement for programmatic DOOH is verified impression data: DSP buyers must be able to trust that the CPM they pay corresponds to a real measured audience, not a static estimate submitted months earlier. AdMobilize’s platform provides this verification layer in real time, enabling programmatic DOOH transactions to be executed with the same data confidence that buyers expect in digital advertising.
Programmatic Operational Applications:
| Programmatic Stage | AdMobilize Function | Commercial Outcome |
|---|---|---|
| Inventory packaging | Site-level audience data — demographic composition, impression volume, time-of-day patterns | Media owners package inventory with verified audience segments for SSP listing |
| SSP multiplier supply | Automated real-time multiplier updates to Broadsign Reach, Hivestack, and Vistar Media | CPMs calculated on continuously refreshed sensor data, not static survey estimates |
| Live campaign execution | Real-time audience signal during campaign flight | DSP buyers receive live confirmation that target audience is present at each screen |
| Dynamic trigger activation | Audience-triggered content delivery through connected CMS | Programmatic campaigns activate only when the contracted audience condition is confirmed |
| Post-campaign verification | Verified impression record per campaign flight | Auditable proof-of-performance delivered to buyers post-campaign; dispute resolution data |
| Yield optimization | Audience composition data informing SSP floor pricing | Media owners apply data-driven floor prices based on actual measured audience value |
Confirmed Programmatic SSP Integrations:
| SSP | Integration Type | Documented Application |
|---|---|---|
| Broadsign Reach | Live data feed + automated multiplier updates | Core integration; documented as growing 460% in the year prior to AdMobilize partnership formalization |
| Hivestack | Programmatic connectivity | Audience data integration for Hivestack-connected inventory |
| Vistar Media | Audience data acceptance | AdMobilize audience data accepted in the Vistar exchange for programmatic DOOH publishers |
| Adomni | API-based data integration | Real-time audience intelligence within Adomni marketplace for programmatic and direct media buying |
Cinema Advertising
Cinema advertising represents a specialized application of AdMobilize’s audience measurement platform in an enclosed, controlled environment where audiences are captive, engagement duration is extended, and traditional measurement has relied on ticket sales as an imperfect proxy for advertising exposure.
Cinema Operational Applications:
| Application | AdMobilize Capability | Business Outcome |
|---|---|---|
| Screen-level audience counting | Camera-based people counting per screen or foyer location | Verified audience counts replacing ticket-sales estimates for advertising measurement |
| Demographic profiling | Anonymous age and gender classification per cinema location and time slot | Audience composition data for advertising targeting and campaign planning |
| Booking by verified views | Confirmed view data at screen level | Cinema advertisers can book campaigns by verified number of views rather than estimated reach |
| Campaign performance reporting | Real-time viewership by cinema location and time of day | Granular campaign performance data for cinema media owners and their advertisers |
| White label delivery | Branded analytics dashboard for cinema media owner clients | Cinema advertising companies can present analytics under their own brand |
The BackLite Media deployment — across 135 or more screens at 15 cinema locations including Novo Cinemas and Roxy Cinemas across the UAE and Bahrain — is the most extensively documented cinema advertising use case in AdMobilize’s client record. It established the operational model for cinema audience measurement through the BackLite Intelligence branded analytics division.
Broadcast and NextGen TV
The broadcast and NextGen TV use case represents AdMobilize’s expansion beyond traditional physical advertising measurement into the television broadcast sector, enabled by the technical architecture of the ATSC 3.0 (NextGen TV) broadcast standard. This use case is deployed in partnership with USSI Global and applies AdMobilize’s sensor-based measurement methodology to live broadcast advertising contexts for the first time.
Broadcast Operational Applications:
| Application | AdMobilize Capability | Business Outcome |
|---|---|---|
| Live audience measurement | Real-time audience analytics during live broadcasts via ATSC 3.0 IP backbone | Broadcast advertisers receive audience measurement data during campaign flight, not only post-broadcast |
| Impression measurement | Audience impression counts per broadcast content block | Impression data for broadcast advertising inventory beyond traditional panel-based ratings |
| Emotional reaction data | Audience reaction measurement correlated with viewed content | Qualitative engagement data beyond viewership counts |
| NextGen TV feature feedback | Audience experience data on NextGen TV features, content, and advertising | Broadcast operators receive data on audience response to interactive and enhanced broadcast features |
| Public venue first-phase deployment | Audience measurement at public venues displaying over-the-air NextGen TV content | DOOH-methodology applied to broadcast content in venue contexts |
Agencies and Media Planners
Media agencies and planning teams represent a buyer-side use case that is distinct from the media owner and operator use cases above. Agencies use AdMobilize data not to operate a network but to plan, buy, and verify OOH campaigns on behalf of advertiser clients — requiring access to site-level audience data before, during, and after campaign flights.
Agency Operational Applications:
| Planning Stage | AdMobilize Data Applied | Outcome |
|---|---|---|
| Pre-buy planning | Site-level historical audience composition per candidate OOH location | Select OOH sites based on verified audience composition data rather than modeled estimates |
| Mid-campaign optimization | Live campaign performance dashboard — impressions, views, GTR, demographics | Redirect spend, adjust creative, or pause underperforming placements based on real data |
| Post-campaign reporting | Verified impression records per campaign flight | Demonstrate campaign delivery to clients with auditable proof-of-performance data |
| Programmatic buying | Audience data via SSP integrations (Broadsign Reach, Hivestack, Vistar Media) | Access AdMobilize-powered inventory on programmatic platforms with verified CPM data |
Digital Signage Resellers and System Integrators
Digital signage resellers and AV system integrators who deploy digital signage infrastructure for end clients represent a channel use case for AdMobilize. These partners add audience intelligence capability to their existing digital signage offering using AdMobilize’s white label platform, enabling them to offer clients a complete measurement layer without building proprietary analytics.
Reseller Operational Applications:
| Capability | AdMobilize Function | Reseller Commercial Outcome |
|---|---|---|
| White label analytics | Full AdMobilize platform delivered under reseller brand | Reseller presents measurement capability as proprietary; no AdMobilize brand visible to end client |
| Plug and measure deployment | Software-only installation on existing hardware; 5-minute setup | Reseller deploys measurement across client installations without additional hardware cost or specialist installation |
| API integration | Data API for reseller’s own platform or client-facing dashboards | Audience data embedded into reseller’s existing client reporting infrastructure |
| Multi-client management | Multi-project and multi-user dashboard access | Reseller manages multiple end-client deployments from single platform login |
| Revenue expansion | Measurement subscription added to existing hardware and software contracts | Analytics subscription creates recurring revenue stream alongside one-time hardware and integration revenue |
AdMobilize Use Case Summary
Platform Capabilities by Use Case:
| Use Case | People Counting | Vehicle Counting | Heat Mapping | Programmatic | White Label | CMS Triggering | Mobile Data |
|---|---|---|---|---|---|---|---|
| DOOH / OOH Media Owners | ✓ | ✓ | — | ✓ | ✓ | ✓ | ✓ |
| Retail Chains | ✓ | — | ✓ | ✓ | ✓ | ✓ | ✓ |
| Shopping Malls | ✓ | — | ✓ | ✓ | ✓ | ✓ | ✓ |
| Events and Venues | ✓ | — | ✓ | ✓ | ✓ | — | — |
| Programmatic DOOH | ✓ | ✓ | — | ✓ | ✓ | ✓ | ✓ |
| Cinema Advertising | ✓ | — | — | — | ✓ | — | — |
| Broadcast / NextGen TV | ✓ | — | — | — | — | — | — |
| Agencies / Planners | — | — | — | ✓ | — | — | ✓ |
| Digital Signage Resellers | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
AdMobilize Pricing Models
AdMobilize structures its commercial offering across three distinct pricing tiers, each designed to match a specific operator profile, network scale, and revenue model. The three plans — SaaS License, Network License, and Programmatic — share a common foundation of dashboard access, API connectivity, and core measurement capability, but differ in their billing mechanism, integration depth, and commercial use case.
AdMobilize does not publicly disclose specific price points, subscription fees, or per-device rates for any of its three tiers. Exact pricing is available directly from AdMobilize’s sales team via a scheduled demo request. The structure, features, and positioning of each plan are documented below based on AdMobilize’s own published plan descriptions, confirmed through the company’s official pricing section.
AdMobilize Pricing — Key Facts:
| Field | Data |
|---|---|
| Number of Plans | 3 |
| Plan Names | SaaS License; Network License; Programmatic |
| Publicly Disclosed Price Points | None — contact AdMobilize sales for pricing |
| Demo Request | Available via admobilize.com (Schedule a Demo) |
| Billing Models | Per-license fee; Pool-based by network size; Percentage of programmatic fee |
| Common Features Across All Plans | Dashboard access; API access |
| Plan Differentiator | CMS integration depth; SSP/DSP connectivity; network scale pricing |
What Is AdMobilize's SaaS License Plan?
The SaaS License plan is AdMobilize’s entry-level commercial tier, structured as a pay-per-license subscription that gives operators individual device-level access to the full AdMobilize measurement platform. It is designed for operators who are deploying AdMobilize for the first time, managing a smaller number of devices, or who require rapid deployment without the administrative overhead of a pooled licensing structure.
SaaS License Plan — Documented Features:
| Feature | Included |
|---|---|
| Dashboard access | Yes — 24/7 cloud-based access |
| API access | Yes — full programmatic data access |
| Multi-user access | Yes |
| Multi-project access | Yes |
| Billing model | Per-license — each device or installation billed individually |
| CMS integration | Not specified as included in this tier |
| SSP/DSP integration | Not specified as included in this tier |
| Deployment speed | Faster — designed for rapid activation with minimal configuration |
| Best for | Operators starting small; single-site or limited multi-site deployments |
SaaS License Plan — Operational Definition:
The SaaS License plan functions as a standard software-as-a-service subscription applied at the device level. Each connected device — whether a media player running AdMobilize’s software or an AdMobilize AI Sensor hardware unit — requires its own license. Operators gain full access to the AdMobilize dashboard and API from the point of activation, enabling real-time audience data visibility and programmatic data access without dependency on CMS integration.
This model is positioned by AdMobilize with the phrase “Start Small, Deploy Faster” — reflecting its suitability for operators who need to activate measurement capability quickly across a defined set of locations before scaling to a larger network.
Operational Advantages of the SaaS License Plan:
- Lower initial commitment — licensing scales incrementally as devices are added
- Fastest path from contract to live measurement — minimal integration prerequisites
- Full dashboard and API access from day one
- Multi-user and multi-project support enables team-wide access within a single account
- Suitable for operators evaluating AdMobilize before committing to a full network deployment
Limitations Relative to Other Plans:
- Per-license billing becomes progressively more expensive at scale compared to the pool-based Network plan
- CMS integration for campaign-level reporting and triggering is not documented as a standard inclusion in this tier
- SSP and DSP programmatic connectivity is available via the Programmatic plan rather than the SaaS License tier
What Is AdMobilize's Network License Plan?
The Network License plan is AdMobilize’s mid-tier commercial offering, structured as a pool-based licensing model that scales pricing relative to total network size rather than billing per individual device. It is designed for established DOOH network operators, retail chains, and multi-site deployments where the volume of connected devices makes per-license billing commercially inefficient.
Network License Plan — Documented Features:
| Feature | Included |
|---|---|
| Dashboard access | Yes — 24/7 cloud-based access |
| API access | Yes — full programmatic data access |
| Billing model | Pool-based — pricing determined by total network size |
| CMS integration | Yes — Broadsign, LDSK, Doohmain, and additional CMS platforms |
| Reporting and triggering | Yes — campaign-level and ad-level reporting; content triggering via integrated CMS |
| Better pricing at scale | Yes — pool-based model delivers lower effective per-device cost as network grows |
| SSP/DSP integration | Not specified as a primary inclusion in this tier |
| Best for | Mid-to-large DOOH networks; retail chains; operators with CMS integration requirements |
Network License Plan — Operational Definition:
The Network License plan replaces per-device billing with a pool-based pricing structure in which the total cost is determined by the operator’s network size — typically measured by the total number of devices or screens in the deployment. Rather than purchasing individual licenses for each device, the operator purchases a license pool that covers all devices within the defined network boundary.
This structure delivers two commercial advantages: first, the effective per-device cost decreases as network size increases, making it more economically efficient for operators managing large numbers of screens than the per-license SaaS model; second, the pool-based structure aligns cost with network capacity rather than with measurement activity, enabling operators to deploy measurement across the full network without concern that activating additional devices will trigger proportional per-unit billing.
The Network License plan’s defining differentiator relative to the SaaS plan is the inclusion of CMS integration for reporting and triggering. Documented integrations at this tier include Broadsign, LDSK, and Doohmain, with additional platforms available. This integration depth enables operators to receive audience data at the campaign and ad level within their existing CMS workflow, and to configure content triggering based on live audience conditions — capabilities that are prerequisites for operators actively managing campaign performance rather than passively monitoring screen-level metrics.
Operational Advantages of the Network License Plan:
- Pool-based pricing reduces effective per-device cost as network scale grows
- CMS integration enables campaign-level and ad-level audience measurement within existing workflows
- Content triggering capability enables dynamic campaign management based on real audience conditions
- Covers the full network under a single commercial structure rather than requiring device-by-device license management
- Preferred plan for operators with established CMS deployments requiring data integration
Limitations Relative to Other Plans:
- SSP and DSP programmatic connectivity for automated impression multiplier updates and live programmatic data feeds is the primary feature of the Programmatic tier rather than the Network plan
- Pool-based pricing requires a defined network size commitment rather than the incremental scaling of the SaaS model
What Is AdMobilize's Programmatic Plan?
The Programmatic plan is AdMobilize’s most advanced commercial tier, structured as a percentage-of-programmatic-fee billing model that aligns AdMobilize’s commercial compensation directly with the operator’s programmatic DOOH revenue. It is designed for network operators who are actively trading DOOH inventory through SSP and DSP platforms and who require real-time, automated audience data integration with those programmatic systems.
Programmatic Plan — Documented Features:
| Feature | Included |
|---|---|
| Dashboard access | Yes — 24/7 cloud-based access |
| API access | Yes — full programmatic data access |
| Billing model | Percentage of programmatic fee — cost scales with programmatic revenue |
| SSP integration | Yes — direct integration with Broadsign Reach, Hivestack, and others |
| DSP integration | Yes — direct integration with compatible DSP platforms |
| Real-time programmatic campaigns | Yes — live sensor data powering programmatic DOOH transactions |
| Automated SSP multiplier updates | Yes — no manual multiplier submission required |
| CMS integration | Yes — included as prerequisite for programmatic data workflow |
| Best for | Programmatic DOOH operators; SSP-connected networks; operators monetizing DOOH inventory through programmatic channels |
Programmatic Plan — Operational Definition:
The Programmatic plan replaces fixed fee billing with a variable model in which AdMobilize’s commercial consideration is calculated as a percentage of the programmatic fee generated by the operator’s DOOH inventory. This structure directly aligns AdMobilize’s commercial interest with the operator’s programmatic revenue performance — AdMobilize earns more when the operator earns more, and the operator’s cost is always proportional to the programmatic revenue being generated rather than to a fixed platform fee.
This billing architecture is specifically suited to operators who have already integrated their DOOH inventory into programmatic trading infrastructure, or who are building programmatic capability as a core revenue channel. The percentage-of-fee model eliminates the friction of a fixed subscription cost during periods of variable programmatic revenue, making it commercially appropriate for networks where programmatic yield fluctuates with market demand.
The Programmatic plan’s defining feature relative to the other two tiers is direct SSP and DSP integration with live data feeds. Documented SSP integrations at this tier include Broadsign Reach and Hivestack, with support for additional platforms. The integration enables three automated capabilities:
- Impression multipliers on connected SSPs update automatically based on real-time sensor data — no manual submission required
- Live audience data from AdMobilize sensors feeds directly into programmatic transactions, providing DSP buyers with verified CPM data during campaign flight
- Post-campaign impression records are generated automatically from sensor data, providing verified proof of performance for programmatic buyers
Operational Advantages of the Programmatic Plan:
- Billing scales with programmatic revenue — no fixed cost regardless of trading volume
- Automated SSP multiplier updates eliminate manual data submission workflows
- Live audience signal during programmatic campaign flight improves CPM confidence for buyers
- Verified post-campaign impression data reduces buyer dispute risk and supports campaign renewal
- Enables operators to enter the programmatic DOOH ecosystem with a full data infrastructure layer without upfront fixed cost
Limitations Relative to Other Plans:
- Variable billing model requires programmatic revenue to be active — operators with no programmatic infrastructure in place will not benefit from this billing structure
- Percentage-of-fee model may become more expensive than fixed alternatives as programmatic revenue scales significantly
AdMobilize Pricing Plans — Full Comparison Table
| Attribute | SaaS License | Network License | Programmatic |
|---|---|---|---|
| Billing Model | Pay per license | Pool-based by network size | Percentage of programmatic fee |
| Pricing Structure | Per device / installation | Volume-based — decreases per device as network grows | Revenue-share — scales with programmatic trading volume |
| Dashboard Access | Yes | Yes | Yes |
| API Access | Yes | Yes | Yes |
| Multi-User Access | Yes | Yes | Yes |
| Multi-Project Access | Yes | Yes | Yes |
| CMS Integration | Not documented at this tier | Yes — Broadsign, LDSK, Doohmain, others | Yes — required for programmatic workflow |
| Campaign and Ad-Level Reporting | Not documented at this tier | Yes | Yes |
| Content Triggering via CMS | Not documented at this tier | Yes | Yes |
| SSP Integration | Not documented at this tier | Not primary at this tier | Yes — Broadsign Reach, Hivestack, others |
| DSP Integration | Not documented at this tier | Not primary at this tier | Yes |
| Automated SSP Multiplier Updates | Not documented at this tier | Not primary at this tier | Yes |
| Live Programmatic Data Feed | Not documented at this tier | Not primary at this tier | Yes |
| Deployment Speed | Fastest — minimum integration prerequisites | Standard — CMS integration required | Requires programmatic infrastructure |
| Best For | Entry-level; rapid deployment; single or limited multi-site | Mid-to-large DOOH networks; CMS-integrated operations | Programmatic DOOH operators; SSP-connected networks |
| Published Price Points | Not disclosed | Not disclosed | Not disclosed |
| Demo / Contact | admobilize.com | admobilize.com | admobilize.com |
AdMobilize Pricing — Frequently Asked Questions
Does AdMobilize publish its prices? AdMobilize does not publish specific subscription fees, per-device rates, or revenue-share percentages for any of its three pricing tiers. Pricing is available through a direct engagement with AdMobilize’s sales team, initiated via a demo request on admobilize.com.
How many pricing plans does AdMobilize offer? AdMobilize offers three pricing plans: SaaS License, Network License, and Programmatic. Each plan uses a different billing mechanism and is designed for a different operator profile and deployment scale.
What is the difference between AdMobilize’s SaaS and Network plans? The SaaS License plan bills per device on an individual license basis and is designed for rapid deployment with minimal integration prerequisites. The Network License plan uses a pool-based billing model that prices by total network size rather than per device, and includes CMS integration for campaign-level reporting and content triggering — features not documented as standard inclusions in the SaaS tier. The Network plan delivers lower effective per-device cost as network scale grows.
What is the AdMobilize Programmatic plan? The Programmatic plan bills as a percentage of the operator’s programmatic revenue rather than as a fixed subscription or per-device fee. It includes direct integration with SSPs including Broadsign Reach and Hivestack, automated impression multiplier updates, and live audience data feeds for programmatic DOOH campaigns. It is designed for operators actively trading DOOH inventory through programmatic channels.
Does AdMobilize charge per device or per location? Under the SaaS License plan, billing is structured per device — each connected device requires an individual license. Under the Network License plan, billing is pool-based and determined by total network size rather than per-device count. The Programmatic plan bills as a percentage of programmatic fee rather than per device or location.
Is there a free trial of AdMobilize? AdMobilize does not document a free trial offering on its public-facing pages. The company offers a one-on-one demo session, accessible via a scheduling link on admobilize.com, as the standard entry point for prospective clients.
What is included in all AdMobilize plans? All three AdMobilize pricing plans include dashboard access and API access as baseline features. Multi-user and multi-project access is documented as available across plans.
Which AdMobilize plan includes Broadsign integration? The Broadsign CMS integration for reporting and triggering is documented as a feature of the Network License plan. The Broadsign Reach SSP integration for programmatic data feeds and automated impression multipliers is a feature of the Programmatic plan.
Can AdMobilize be used without a CMS integration? The SaaS License plan does not document CMS integration as a standard inclusion, making it suitable for operators who want to access real-time audience data through the AdMobilize dashboard and API without requiring a CMS integration workflow. CMS integration is documented as a feature of the Network and Programmatic tiers.
How does AdMobilize’s programmatic pricing work? The Programmatic plan bills as a percentage of the programmatic fee generated by the operator’s connected inventory. The specific percentage rate is not publicly disclosed. This model means the operator’s AdMobilize cost scales proportionally with the programmatic revenue being transacted through the platform rather than being fixed regardless of trading activity.
AdMobilize Pricing Context — Market Positioning
AdMobilize’s three-tier pricing structure reflects a commercial design intended to serve operators at three distinct stages of DOOH measurement maturity:
Entry stage — SaaS License: Operators activating measurement for the first time, deploying across a limited number of screens, or evaluating AdMobilize before committing to network-wide deployment. The per-license model minimizes initial commitment while delivering full platform functionality.
Growth stage — Network License: Operators who have validated the value of audience measurement and are scaling it across a larger network. The pool-based model reduces the effective per-device cost as the network grows, and the CMS integration capability enables measurement to move from dashboard-only visibility to active campaign management.
Monetization stage — Programmatic: Operators who have integrated programmatic DOOH into their revenue model and require a live, automated data infrastructure to support SSP connectivity. The percentage-of-fee model aligns AdMobilize’s cost directly with the commercial value the platform generates, making it commercially appropriate for operators where programmatic revenue is a measurable, growing line item.
This three-stage progression mirrors the trajectory that the DOOH industry has followed broadly — from manual measurement and estimated data, through CMS-integrated campaign reporting, to fully automated programmatic trading powered by verified sensor data.
AdMobilize Privacy Architecture and Compliance Framework
Privacy architecture is a foundational element of AdMobilize’s platform — not a post-development compliance measure added after the core technology was built. The company incorporates Privacy by Design principles into every stage of product development, data processing, and commercial deployment. The result is a measurement system that operates at commercial scale across more than 80 countries without generating, storing, or transmitting any data that constitutes personal information under any major privacy regulatory framework.
The following subsections document AdMobilize’s privacy architecture across five dimensions: its governing principle, its technical implementation, the precise data it collects and does not collect, the regulatory distinction between detection and recognition that determines its compliance posture, and its alignment with GDPR and CCPA.
AdMobilize Privacy by Design Principles
Privacy by Design is a framework developed in the 1990s and subsequently adopted into formal regulatory structures — most notably into the EU General Data Protection Regulation as a compliance requirement — that mandates privacy protections be built into systems from the outset rather than layered on after deployment. AdMobilize formally incorporates Privacy by Design as the governing philosophy of its product development and data usage approach.
AdMobilize’s Three Core Privacy Commitments:
| Commitment | AdMobilize Implementation |
|---|---|
| Anonymous and aggregate only | All data generated by the platform is anonymous and aggregated — no individual is identified, tracked, or profiled at any point |
| Edge processing — no cloud transmission of raw data | All detection and classification occurs on-device; no images, video, or biometric templates are transmitted to cloud systems |
| Detection, Never Recognition | The platform detects the presence of individuals and assigns anonymous statistical attributes; it does not identify who any individual is |
The Seven Foundational Principles of Privacy by Design — Applied to AdMobilize:
The Privacy by Design framework establishes seven foundational principles. The following table maps each principle to its implementation within AdMobilize’s technical architecture:
| Privacy by Design Principle | AdMobilize Implementation |
|---|---|
| Proactive, Not Reactive | Privacy protections engineered into the platform before deployment; no remediation required post-launch |
| Privacy as the Default | The system defaults to anonymous, aggregate output without any operator configuration required to enable privacy protection |
| Privacy Embedded into Design | On-device edge processing, no image storage, and anonymous-only output are structural properties of the platform, not optional settings |
| Full Functionality — Positive Sum | Full audience measurement capability is delivered without any trade-off against privacy; verified impressions and demographic data are generated without personal data |
| End-to-End Security | Data is protected throughout its entire lifecycle — from on-device detection through cloud aggregation and API transmission — with no personal data present at any stage |
| Visibility and Transparency | AdMobilize publicly documents its privacy architecture, data collection practices, and technical implementation on its platform and in client-facing materials |
| Respect for User Privacy | The platform is built around the principle that individuals in public spaces should not be identified, tracked, or profiled by advertising measurement systems |
AdMobilize Edge Processing Architecture
Edge processing is the technical mechanism through which AdMobilize’s privacy commitments are operationalized. All computer vision detection and demographic classification computation runs locally on the device at the point of measurement — on the media player running AdMobilize’s software or on the AdMobilize AI Sensor hardware. No raw visual data is transmitted externally at any stage.
Edge Processing — Technical Specifications:
| Parameter | Specification |
|---|---|
| Processing location | On-device — local media player or AI Sensor hardware |
| Processing latency | As little as 15 milliseconds per detection cycle |
| Raw data transmitted externally | None |
| Images transmitted to cloud | None — no images are ever saved locally or to cloud |
| Video transmitted to cloud | None — no video is ever saved locally or to cloud |
| Biometric templates transmitted | None — no facial templates or biometric identifiers are generated or stored |
| Data transmitted to cloud | Anonymous, aggregated metadata only — counts, classifications, timing, engagement metrics |
| Network dependency for detection | None — detection operates locally without internet connectivity requirement |
How Edge Processing Works in Practice:
The edge processing cycle operates as follows for each measurement event:
- A camera captures a live visual feed of the environment in front of an advertising asset or within a retail space
- AdMobilize’s computer vision algorithms analyze the visual data on the local device — identifying whether a person or vehicle is present, classifying anonymous demographic attributes, and measuring behavioral signals such as gaze direction and dwell time
- The algorithm produces an anonymous output record — a count event with associated statistical attributes — within 15 milliseconds of detection
- This anonymous output record is transmitted to AdMobilize’s cloud dashboard and API as metadata
- The visual data that generated the record is discarded — no image, no video frame, no pixel-level data, and no template is retained locally or transmitted anywhere
The critical implication of this architecture is that the system produces verified audience data without the visual data ever leaving the physical location where measurement occurs. A media owner deploying AdMobilize across a network of 500 screens is generating verified impression data from 500 camera feeds, none of which transmit any visual information beyond the device where they are installed.
AdMobilize’s Formal Statement on Edge Processing:
AdMobilize’s platform documentation formally states: no image, video, or Personally Identifiable Information is ever processed, retained, shared, or sold. No correlations to other personally identifiable data sets occur, and no other process is used, or other effort made, to allow AdMobilize or its customers to identify individuals.
What Data AdMobilize Collects and Does Not Collect
The following tables document the precise scope of data collection in AdMobilize’s platform across all data categories relevant to privacy regulatory compliance.
Data AdMobilize Does Not Collect — Definitive Record:
| Data Category | Collected | Processed | Stored | Transmitted | Regulatory Relevance |
|---|---|---|---|---|---|
| Video footage | No | No | No | No | Raw video is personal data under GDPR when it captures identifiable individuals |
| Photographs or images | No | No | No | No | Photographs are personal data; facial images are biometric data when used for identification |
| Facial templates or facial recognition data | No | No | No | No | Facial recognition data is biometric data — a special category under GDPR Article 9 |
| Biometric identifiers (iris, fingerprint, gait) | No | No | No | No | Biometric data is a special category under GDPR Article 9; subject to processing prohibition |
| Names, email addresses, or identity documents | No | No | No | No | Personal data under GDPR Article 4(1) and CCPA |
| Device identifiers or IP addresses of individuals | No | No | No | No | Online identifiers constitute personal data under GDPR |
| Location data linked to an individual | No | No | No | No | Location data of an identified or identifiable person is personal data under GDPR |
| Any personally identifiable information (PII) | No | No | No | No | PII encompasses all data that can identify a specific natural person |
Data AdMobilize Does Collect — Definitive Record:
| Data Category | Collected | Processed | Stored | Nature |
|---|---|---|---|---|
| People counts (aggregate) | Yes | Yes (on-device) | Yes (cloud, aggregated) | Anonymous statistical count — no individual record |
| Vehicle counts (aggregate) | Yes | Yes (on-device) | Yes (cloud, aggregated) | Anonymous statistical count — no individual record |
| Age range classification (aggregate) | Yes | Yes (on-device) | Yes (cloud, aggregated) | Anonymous statistical distribution — no per-individual record |
| Gender classification (aggregate) | Yes | Yes (on-device) | Yes (cloud, aggregated) | Anonymous statistical distribution — no per-individual record |
| Attention direction (aggregate) | Yes | Yes (on-device) | Yes (cloud, aggregated) | Anonymous detection of gaze direction — no individual record |
| Dwell time (aggregate) | Yes | Yes (on-device) | Yes (cloud, aggregated) | Anonymous timing data — no individual record |
| Vehicle type classification (aggregate) | Yes | Yes (on-device) | Yes (cloud, aggregated) | Anonymous vehicle category counts — no individual record |
| Impression counts | Yes | Yes (on-device) | Yes (cloud, aggregated) | Anonymous count of detection events — no individual record |
Data Classification Note:
The data AdMobilize collects does not constitute personal data under GDPR Article 4(1), CCPA, or equivalent regulatory frameworks because it does not relate to an identified or identifiable natural person. An anonymous count of 47 individuals detected at a specific screen during a 30-minute period, with an aggregate demographic distribution of 60% estimated female and 40% estimated male, with a Gaze Thru Rate of 23%, does not identify any individual and cannot be used — alone or in combination with other data — to identify any individual. It is a statistical summary of group behavior with no linkage to any specific person.
Detection vs. Recognition — Regulatory Distinction
The distinction between detection and recognition is the most legally and commercially significant technical distinction in AdMobilize’s privacy framework. It determines whether the platform’s operation requires legal bases under GDPR’s special categories framework, constitutes processing of biometric data under CCPA, or triggers additional regulatory obligations under emerging AI regulatory frameworks including the EU AI Act.
Regulatory Definition of Key Terms:
| Term | Regulatory Definition | AdMobilize Position |
|---|---|---|
| Personal data | Any information relating to an identified or identifiable natural person — GDPR Article 4(1) | AdMobilize’s outputs are anonymous aggregate statistics; they do not relate to an identified or identifiable person |
| Biometric data | Personal data resulting from specific technical processing of physical or physiological characteristics that allows or confirms unique identification of a natural person — GDPR Article 4(14) | AdMobilize does not produce data that allows or confirms unique identification of any natural person |
| Special category data | Biometric data processed for the purpose of uniquely identifying a natural person — GDPR Article 9 | AdMobilize does not process biometric data for the purpose of uniquely identifying individuals; its purpose is anonymous population-level measurement |
| Facial recognition | A biometric system that identifies or verifies an individual by comparing facial data to a reference database of known individuals | AdMobilize does not perform facial recognition — no comparison against reference databases occurs |
| Facial detection | Confirmation that a face or human presence exists within a camera field of view, without identifying who the person is | AdMobilize applies facial detection — the platform confirms presence and assigns anonymous statistical attributes without identifying individuals |
Why the Detection vs. Recognition Distinction Is Legally Material:
Under GDPR Article 9, biometric data processed for the purpose of uniquely identifying a natural person is classified as a special category of personal data. Processing of special category data is generally prohibited unless one of a defined set of conditions applies — most practically, explicit consent from each individual. In the context of OOH advertising measurement in public spaces, obtaining explicit consent from every individual who passes a billboard or enters a retail store is practically impossible.
Facial recognition systems that process facial images to identify individuals, match them against a database, or track them across locations generate biometric data as defined under GDPR Article 9 and are therefore subject to this prohibition. This is why regulators across Europe, the United States, and other jurisdictions have imposed significant restrictions on facial recognition in commercial contexts.
Facial detection systems — which confirm that a person is present and assign anonymous statistical attributes without identifying who that person is — do not generate biometric data as defined under GDPR Article 9, because no unique identification of a natural person occurs or is intended. The processing does not produce data that allows or confirms unique identification. Therefore, the special category processing prohibition in Article 9 does not apply.
The Regulatory Basis for AdMobilize’s Compliance Position:
AdMobilize’s platform operates within the regulatory framework applicable to anonymous, aggregate audience measurement systems because:
- No facial image is stored or transmitted — the camera feed is processed and discarded on-device within 15 milliseconds
- No facial template is created — the system produces a count event with anonymous statistical attributes, not a biometric identifier
- No unique identification of any individual occurs or is possible from the data the system generates
- No correlation of AdMobilize’s outputs with any externally identifiable data source occurs or is enabled
The formal regulatory boundary, stated by the EU’s data protection authority framework, is that facial data does not become biometric data under GDPR when processing has no identification purpose and produces no data that enables unique identification. AdMobilize’s processing satisfies this condition: the purpose is anonymous population-level measurement, and the outputs are anonymous aggregate statistics that do not enable identification of any individual.
The Broader Industry Context:
A documented terminology problem exists in the OOH and digital signage industry whereby the terms facial recognition and facial detection are frequently conflated — applied interchangeably in trade press, procurement specifications, and public discourse. This conflation misrepresents the regulatory status of detection-based systems and creates unfounded compliance concerns for operators deploying anonymous measurement technology.
AdMobilize’s privacy page explicitly addresses this conflation with the following statement from its team: it is important for stakeholders to understand how particular image-analysis technology systems work, bearing in mind that not every camera-based system is a facial recognition system, and the term facial recognition is often broadly and confusingly used in reference to other computer vision-based technology that does not allow for individual identification. By comparison, facial and object detection is completely anonymous and does not introduce privacy concerns due to identifiability.
AdMobilize GDPR Compliance Framework
The EU General Data Protection Regulation applies to the processing of personal data of individuals located in the European Union and European Economic Area, and to organizations outside the EU that process the personal data of EU residents. AdMobilize’s alignment with GDPR is established through the architecture of its data processing pipeline — not merely through policy documentation.
GDPR Compliance Assessment — AdMobilize Platform:
| GDPR Requirement | Applicability to AdMobilize | AdMobilize Position |
|---|---|---|
| Personal data definition (Article 4(1)) | Applies if data processed relates to an identified or identifiable person | AdMobilize’s outputs are anonymous aggregate statistics; they do not relate to identified or identifiable individuals |
| Biometric data definition (Article 4(14)) | Applies if processing enables unique identification of a natural person | AdMobilize’s processing does not enable unique identification — no biometric data as defined in Article 4(14) is generated |
| Special category data prohibition (Article 9) | Applies to biometric data processed for unique identification | AdMobilize’s processing does not produce biometric data for unique identification; Article 9 prohibition does not apply |
| Lawful basis requirement (Article 6) | Required for processing of personal data | Where AdMobilize processes personal data (website, customer accounts), lawful bases including consent and contractual necessity apply |
| Data minimization (Article 5(1)(c)) | Personal data must be adequate, relevant, and limited to what is necessary | On-device processing and anonymous-only output represent the minimum data necessary for audience measurement |
| Storage limitation (Article 5(1)(e)) | Personal data must not be kept longer than necessary | No personal data is generated or retained; anonymous aggregate metadata is retained for reporting purposes |
| Privacy by Design (Article 25) | Privacy protections must be implemented by design and by default | AdMobilize’s architecture is built on Privacy by Design principles — privacy protection is structural, not configurable |
| GDPR compliance of Mobile Data layer | Mobile Audience Location Data uses mobile SDK-sourced data | AdMobilize documents all mobile data as derived from fully GDPR-compliant datasets through authorized partner agreements |
GDPR and the Mobile Audience Location Data Layer:
The Mobile Audience Location Data product — Layer 3 of AdMobilize’s three-layer data fusion methodology — operates through mobile SDK partnerships that provide anonymized audience behavioral data including interest segmentation, income indicators, and purchase intent signals. AdMobilize documents this data layer as sourced exclusively from fully GDPR-compliant datasets, collected through partner frameworks that include appropriate consent mechanisms. No individual’s mobile data is accessed or processed without the authorization established through the SDK partner’s consent framework.
AdMobilize CCPA Compliance Framework
The California Consumer Privacy Act, as amended by the California Privacy Rights Act, grants California consumers rights regarding the collection, use, and sale of their personal information and imposes obligations on businesses that collect personal information from California residents above defined thresholds.
CCPA Compliance Assessment — AdMobilize Platform:
| CCPA Requirement | Applicability to AdMobilize | AdMobilize Position |
|---|---|---|
| Personal information definition | Applies to information that identifies, relates to, describes, or could reasonably be linked with a particular consumer or household | AdMobilize’s audience measurement outputs are anonymous aggregate statistics that do not identify, describe, or link to a particular consumer |
| Biometric information | Includes physiological characteristics used to identify an individual | AdMobilize does not generate biometric information as defined under CCPA — no physiological identifiers are created or retained |
| Right to know | Consumers have the right to know what personal information is collected | AdMobilize’s platform does not collect personal information from individuals in public spaces — no individual-level data is generated |
| Right to deletion | Consumers have the right to request deletion of personal information | No personal information attributable to an individual is collected or stored; no deletion mechanism is required for measurement outputs |
| Right to opt-out of sale | Consumers can opt out of the sale of their personal information | AdMobilize formally states that no personal information is ever sold — this is consistent with its data architecture |
| CCPA compliance of Mobile Data layer | Mobile data includes location data which may constitute personal information | AdMobilize’s mobile data partnerships use fully authorized, GDPR-compliant datasets with appropriate consent frameworks |
AdMobilize Privacy Compliance — Master Reference Table
| Compliance Dimension | AdMobilize Status | Basis |
|---|---|---|
| Privacy by Design implementation | Confirmed | Incorporated into product development and data architecture from platform inception |
| Personal data generated by audience measurement | None | Anonymous aggregate outputs do not constitute personal data under GDPR or CCPA definitions |
| Biometric data generated | None | No unique identification occurs; no biometric data as defined under GDPR Article 4(14) or CCPA is generated |
| Special category data processing (GDPR Article 9) | Not applicable | No biometric data for unique identification is processed |
| Images or video stored or transmitted | None | On-device edge processing; all visual data discarded within 15ms |
| PII collected, retained, shared, or sold | None | Formally stated in AdMobilize’s privacy documentation |
| Data sold to third parties | None | Formally stated: no personal information is ever sold |
| Correlation with external PII datasets | None | Formally stated: no correlations to other personally identifiable data sets occur |
| GDPR alignment | Confirmed by architecture | Anonymous-only output; no special category data; Privacy by Design compliance |
| CCPA alignment | Confirmed by architecture | Anonymous-only output; no biometric information; no sale of personal information |
| Mobile Audience Location Data compliance | GDPR-compliant datasets | Mobile data sourced through fully authorized, consented partner frameworks |
| Facial recognition technology used | No | Platform applies detection, not recognition; no identification of individuals occurs |
| Applicable to EU residents | Architecture-level compliance | Processing produces no personal data; GDPR Article 9 prohibition does not apply |
| Applicable to California residents | Architecture-level compliance | No personal information as defined under CCPA is generated by the measurement system |
AdMobilize vs. Alternative DOOH Measurement Approaches
DOOH audience measurement is not a single methodology — it is a category of commercial practice served by multiple technical approaches, each with a distinct data source, accuracy profile, operational model, privacy architecture, and commercial application. Understanding how AdMobilize’s approach compares to the alternatives that operators and buyers encounter in the market is an essential part of evaluating whether the platform is the right fit for a given deployment context.
This section documents four foundational comparisons: real sensor-based impressions versus modeled impression estimates, edge AI processing versus cloud-based measurement architectures, anonymous detection versus panel-based audience research, and plug-and-play deployment versus custom hardware installation. Each comparison is presented as a structured factual analysis — not as a promotional evaluation — covering the methodology, strengths, and limitations of each approach.
AdMobilize Measurement Approach — Summary Position:
| Dimension | AdMobilize Approach | Category |
|---|---|---|
| Data source | AI optic sensors + WiFi signals + mobile SDK data | Multi-layer real-time measurement |
| Impression type | Sensor-verified — confirmed by computer vision detection | Real impressions |
| Processing location | On-device (edge AI) | Local, no cloud dependency |
| Privacy model | Anonymous detection — no PII, no images, no biometric data | Privacy by Design |
| Demographic method | Anonymous AI classification at point of detection | Real-time on-device |
| Deployment model | Software on existing hardware or plug-and-play AI Sensor | Plug and Measure |
| Data latency | 15 milliseconds per detection cycle | Real-time |
| Campaign-level reporting | Yes — per screen, per campaign, per ad | Granular |
| Programmatic data feed | Yes — live SSP/DSP connectivity | Automated |
Real Impressions vs. Estimated Impressions
The single most consequential methodological distinction in the DOOH measurement landscape is the difference between verified, sensor-generated impression data and modeled, estimated impression data. Both approaches produce a number representing the audience that was present at a given advertising location during a given time period. The difference is in how that number is derived.
Methodology Comparison:
| Attribute | Sensor-Verified Impressions (AdMobilize) | Modeled / Estimated Impressions |
|---|---|---|
| Data source | Live computer vision sensors at each asset location | Government traffic counts; mobile trip data; panel surveys; statistical models |
| Measurement timing | Real-time — impressions generated as audiences are detected | Historical — audience figures projected from periodic surveys and data collection |
| Geographic granularity | Per-asset — each individual screen or billboard measured independently | Per-area or per-unit group — estimates extrapolated across similar inventory |
| Campaign-level attribution | Yes — audience data attributed to specific content plays within a campaign | No — estimates cover the asset’s general traffic, not specific campaign flights |
| Ad-level attribution | Yes — impressions attributed to each individual ad copy served | No — no mechanism for ad-level attribution in modeled systems |
| Update frequency | Continuous — impression data updates in real time during campaign flight | Periodic — Geopath and similar panel systems update audience data on annual or semi-annual cycles |
| Accuracy mechanism | Direct physical measurement of who is present | Statistical modeling of who is likely to be present based on historical data |
| Temporal accuracy | Reflects actual audience at each specific moment | Reflects average expected audience based on historical patterns |
| Event sensitivity | Captures real-time deviations — local events, weather, construction | Does not capture real-time deviations from historical patterns |
| Programmatic application | Live impression data feeds directly into SSP multipliers | Static multipliers submitted periodically; not updated in real time |
How Modeled Impression Measurement Works:
Panel-based and model-driven impression measurement — exemplified by systems such as Geopath in the United States and equivalent national currency bodies in other markets — derives audience figures through a multi-stage statistical process:
- Traffic circulation data is sourced from government agencies, including Department of Transportation counts and transit authority ridership figures, establishing a baseline of how many people pass each OOH location
- Mobile trip data from hundreds of millions of mobile devices is incorporated to understand the movement patterns, origins, and destinations of the population traveling in proximity to each asset
- Visibility studies — conducted through physical field audits and, in some systems, eye-tracking research — establish adjustment factors for each asset’s visibility angle, size, speed of passing traffic, and competitive clutter
- These inputs are combined through a statistical model to produce an estimated Opportunity to See figure for each OOH asset in the measured inventory
- Digital rotation factors are applied to multi-advertiser DOOH assets to estimate the fraction of the total audience that is present for each specific ad in the rotation
This methodology has served the OOH industry for decades and provides a standardized, cross-operator basis for audience currency — enabling agencies and advertisers to compare OOH inventory across different media owners using a consistent measurement system.
The Limitations of Modeled Estimates in a Programmatic Context:
The panel-based and model-driven approach presents specific limitations when applied to programmatic DOOH trading and campaign-level accountability:
- Historical data latency: Audience figures reflect periodic survey and model updates rather than current conditions. A media owner whose Geopath-rated traffic is based on data collected in a prior period may be reporting audience figures that no longer reflect current foot traffic or driving patterns at that location.
- Asset-level, not campaign-level: Modeled estimates describe the general audience for an asset, not the audience for a specific campaign flight. An advertiser whose campaign ran for two weeks during a period of unusually low foot traffic has no mechanism to verify whether the estimated audience was actually present during the campaign.
- No ad-level attribution: In a multi-advertiser DOOH rotation, modeled estimates cannot distinguish which specific ad in the rotation was in-view when specific segments of the audience passed. Ad-level impression attribution requires real-time data linked to content delivery events.
- Static programmatic multipliers: Programmatic DOOH transactions use impression multipliers to calculate CPMs. If those multipliers are derived from periodic modeled estimates rather than live sensor data, they cannot reflect real-time audience conditions during the programmatic transaction — introducing the risk that buyers pay for an estimated audience that may differ from the actual audience delivered.
How Sensor-Verified Impressions Address These Limitations:
AdMobilize’s sensor-based approach directly addresses each of these limitations through continuous real-time measurement:
- Impression data is generated at the moment of detection — reflecting who is actually present at the asset during each content play
- Campaign-level and ad-level attribution is enabled because the measurement system records which content was playing at the time of each detection event
- Programmatic SSP multipliers are updated automatically from live sensor data, ensuring that CPMs reflect the audience currently being measured rather than a historical estimate
- Seasonal, event-driven, and real-time variations in audience patterns are captured automatically rather than being averaged into a periodic model
What Sensor-Based Measurement Does Not Replace:
It is important to document the scope of sensor-based measurement accurately. AdMobilize’s real-time impression data and modeled industry estimates serve complementary rather than entirely competing functions:
- Modeled systems like Geopath provide a standardized cross-operator audience currency that enables comparative media planning across different OOH networks — a function that asset-level sensor data does not directly replace
- Panel-based brand lift and recall studies measure outcomes — awareness, favorability, purchase intent — that are not captured by impression measurement systems regardless of whether those impressions are modeled or sensor-verified
- AdMobilize’s platform is an impression measurement and audience intelligence tool; it does not conduct the post-exposure consumer surveys that establish the brand impact of a campaign on individual consumers
The most effective measurement frameworks in DOOH combine both methodologies: sensor-verified impression data for real-time campaign accountability and programmatic trading, and panel-based research for cross-operator planning currency and post-exposure brand impact measurement.
Edge AI vs. Cloud-Based Measurement Processing
The second major methodological distinction in DOOH audience measurement technology is the question of where data processing occurs — on the device at the point of measurement, or in a centralized cloud system after data has been transmitted from each asset location.
Processing Architecture Comparison:
| Attribute | Edge AI Processing (AdMobilize) | Cloud-Based Processing |
|---|---|---|
| Processing location | On-device — at the media player or AI Sensor at each asset | Remote cloud server — data transmitted from asset to cloud for processing |
| Data transmitted | Anonymous aggregate metadata only | Raw or semi-processed visual or sensor data transmitted to cloud |
| Network dependency | Detection operates without internet connectivity | Requires continuous network connection for real-time processing |
| Latency | 15 milliseconds on-device | Variable — dependent on network speed and cloud processing queue |
| Privacy posture | No visual data ever leaves the physical location | Visual or sensor data transmitted creates potential interception risk |
| Data retention risk | No images or video retained locally or transmitted | Cloud storage of transmitted data creates retention and breach risk |
| Scalability constraint | Scales per-device independently — no central processing bottleneck | Central processing infrastructure must scale proportionally to network size |
| Resilience | Each device operates independently — no single point of failure | Network or cloud outage disrupts processing for all connected assets |
| GDPR alignment | Visual data never leaves local environment — strongest privacy posture | Transmission of visual data to cloud requires legal basis and adequate security |
How Edge Processing Works at the Device Level:
In an edge AI architecture, each device in the network operates as an independent measurement unit. The computer vision algorithms running on each media player or AI Sensor process the camera feed locally, produce an anonymous output record within 15 milliseconds, and transmit only that anonymous metadata record to the central cloud system. The visual data that generated the record is discarded immediately after processing — it never travels beyond the physical location of the device.
This architecture means that a DOOH network of 1,000 screens across 500 cities is generating audience data from 1,000 independent processing units. No central processing infrastructure experiences the load of 1,000 simultaneous camera feeds, because each camera feed is processed locally. The central system receives 1,000 streams of anonymous metadata records rather than 1,000 streams of video.
Privacy Implications of Processing Architecture:
The location of data processing is the mechanism that determines the privacy risk profile of a measurement system — not the privacy policy that governs it. A system that transmits raw or semi-processed visual data to a cloud server introduces three categories of risk that an edge processing system does not:
- Transmission interception: Data in transit can be intercepted. Visual data transmitted over a network connection — even an encrypted one — presents a broader attack surface than data that never leaves the local device.
- Cloud storage breach: Data stored in a cloud system can be accessed in the event of a security breach. If visual data or intermediate processing outputs are stored in cloud infrastructure, a breach of that infrastructure exposes that data. Edge processing systems that discard visual data immediately at the device produce no cloud-stored visual data to breach.
- Jurisdictional data transfer: Transmitting visual data from an asset in one country to a cloud server in another may trigger cross-border data transfer regulations under GDPR and equivalent frameworks, requiring additional legal mechanisms. Edge processing that keeps visual data local eliminates this concern.
AdMobilize’s edge processing architecture addresses all three risk categories by design: no visual data is transmitted, no visual data is stored in cloud infrastructure, and no cross-border data transfer of visual data occurs.
Operational Advantages of Edge Processing:
Beyond privacy, edge processing delivers two additional operational advantages relevant to DOOH network operators:
- Deployment flexibility: Each device operates independently without a dependency on cloud processing infrastructure. Operators can deploy AdMobilize in markets with variable or unreliable internet connectivity without compromising measurement capability — the on-device processing continues regardless of network conditions.
- Consistent latency: Cloud-based processing introduces variable latency depending on network conditions and cloud processing queue depth. On-device edge processing consistently delivers results within 15 milliseconds regardless of external network conditions — which is the prerequisite for real-time content triggering based on live audience data.
Anonymous Detection vs. Panel-Based Audience Research
The third methodological comparison addresses how audience demographic composition is determined. DOOH operators and advertisers need to know not only how many people were present at an asset but what demographic attributes those people represent — age, gender, and where available, behavioral interests and purchase intent.
Demographic Measurement Comparison:
| Attribute | Anonymous AI Detection (AdMobilize) | Panel-Based Audience Research |
|---|---|---|
| Data collection method | Computer vision classification of detected individuals at point of exposure | Survey panels, travel diaries, and mobile data from a representative sample population |
| Timing | Real-time — demographic data generated at moment of exposure | Historical — demographic profiles built from periodic research and aggregated mobile data |
| Individual identification | No — all classification is anonymous and aggregate | Panel: identified at panel recruitment; anonymized for output; mobile: device-level data |
| Geographic granularity | Per-asset in real time | Per-area or per-route based on sample extrapolation |
| Campaign-level attribution | Yes — demographic composition recorded per content play | No — demographic profiles describe the general audience, not specific campaign audiences |
| Accuracy dependency | Accuracy of AI classification model at point of detection | Accuracy of panel representation and sample size at each location |
| Real-time capability | Yes — live demographic data available continuously | No — demographic data is periodic and not updated in real time |
| Privacy model | No individual identified; all data anonymous at point of generation | Panel members identified at recruitment; mobile data may be linked to device |
| Dynamic audience capture | Captures actual demographic shifts — events, time-of-day variations | Captures average demographic expectations — does not reflect real-time variation |
How Anonymous AI Demographic Classification Works:
AdMobilize’s computer vision models classify detected individuals into anonymous demographic attributes — estimated age range and gender — at the moment of detection, on the local device. The classification process assigns a statistical estimate to each detection event. No individual’s demographic data is recorded as a personal attribute — the output is an aggregate statistical distribution across all detected individuals during a session.
For example, a 30-minute measurement window at a retail location that detects 87 individuals might produce an output of: 45% estimated female, 55% estimated male; 22% under 25, 38% aged 25–44, 28% aged 45–64, 12% over 64. This distribution does not contain any individual record — it is a summary of 87 anonymous detection events.
How Panel-Based Demographic Research Works:
Panel-based demographic profiling for OOH measurement operates through a different mechanism: a representative sample of the population agrees to share travel data, survey responses, or mobile location data with a research organization. This organization builds demographic profiles of the audiences that typically pass through different OOH locations at different times of day and week, based on the panel sample’s movement and self-reported characteristics.
The demographic output describes the expected audience at each location based on what sample participants who passed that location looked like — extrapolated to the full population of people passing that location during the study period. This approach is effective at establishing a demographic currency for planning purposes but does not capture real-time demographic variations caused by events, weather, or other factors that cause the actual audience composition on a given day to differ from the historical norm.
What Each Approach Is Best Suited For:
| Application | Best Approach | Reason |
|---|---|---|
| Campaign planning — audience selection | Panel-based research | Provides standardized, cross-operator demographic currency for media planning |
| Live campaign monitoring — demographic verification | Anonymous AI detection | Provides real-time demographic data linked to specific campaign flights |
| Programmatic targeting — live demographic trigger | Anonymous AI detection | Real-time demographic signal enables audience-based content triggers |
| Post-campaign demographic reporting | Anonymous AI detection | Verified demographic composition during campaign flight — not historical average |
| Brand lift and recall — demographic breakdowns | Panel-based research | Requires identified survey respondents to link exposure to attitudinal outcomes |
Plug-and-Play Deployment vs. Custom Hardware Installation
The fourth comparison addresses deployment model — how audience measurement technology is physically installed and activated across a DOOH network or retail environment. Deployment complexity is a significant operational and commercial consideration for network operators who manage large numbers of assets across diverse geographic markets.
Deployment Model Comparison:
| Attribute | Plug and Measure (AdMobilize) | Custom Hardware Installation |
|---|---|---|
| Hardware required | Existing media player + IP camera, or AdMobilize AI Sensor only | Proprietary sensor hardware designed for specific installation contexts |
| Compatible operating systems | Windows; Linux | Dependent on proprietary hardware specifications |
| Installation requirement | No specialist required — configured via mobile phone (AI Sensor) or software installation on player | Typically requires specialist hardware installation and cabling |
| Setup time | Operational within 5 minutes (software deployment); instant (AI Sensor) | Variable — hours to days depending on hardware type and installation environment |
| Existing infrastructure reuse | Yes — AdMobilize software deploys on existing cameras and players | No — proprietary hardware must be installed alongside or replacing existing infrastructure |
| Capital expenditure | Minimal — no new hardware required for software-only deployments | Significant — proprietary hardware cost per location |
| Scalability | High — software deployment scales without proportional hardware investment | Linear — each new location requires additional hardware procurement and installation |
| Maintenance model | Software updates delivered remotely — no on-site maintenance for software deployments | Hardware maintenance requires on-site visits |
| Network diversity | Deployable across diverse hardware environments — bus shelters, billboards, retail, transit | Often designed for specific installation contexts |
The Operational Case for Plug-and-Play Deployment:
DOOH network operators frequently manage assets across multiple geographies, hardware generations, and installation environments — from large-format roadside billboards to transit shelters to retail screens to airport displays. A measurement solution that requires proprietary hardware installation at each asset must be procured, shipped, installed, commissioned, and maintained at each individual location. For a network of 500 screens across 50 cities, this represents a substantial capital investment and operational program.
AdMobilize’s software-only deployment model changes this operational calculation: where compatible camera infrastructure already exists at an asset, AdMobilize’s measurement capability can be activated by deploying the software on the existing player — a process documented as achievable within five minutes. No hardware procurement, no specialist installation, no cabling, no site visits required.
For locations where no camera infrastructure exists, AdMobilize’s AI Sensor provides a standalone hardware option that maintains the plug-and-play principle: WiFi-connected, configured via mobile phone, no specialist installation, and immediate performance tracking on connection.
Scalability Implications:
The scalability difference between plug-and-play software deployment and hardware-dependent measurement solutions is most pronounced at network scale. A software deployment model scales at the cost of a software license per new device — no proportional increase in hardware procurement, installation labor, or logistics. A hardware-dependent model scales at the cost of a hardware unit, shipping, and installation labor per new site — costs that scale linearly with network growth.
For programmatic DOOH operators who are expanding their measured inventory to support SSP connectivity, the speed and cost of deployment across a large network is a material commercial consideration. The faster and cheaper measurement can be activated across new inventory, the sooner that inventory can participate in programmatic trading with verified impression data.
Deployment Model Summary:
| Deployment Scenario | AdMobilize Capability | Operational Implication |
|---|---|---|
| Existing player + existing IP camera | Software-only deployment — no hardware required | Lowest cost; fastest activation; zero capital expenditure |
| Existing player + no camera | AI Sensor hardware addition — plug and play | Minimal hardware cost; no specialist installation; 5-minute setup |
| New site — no existing infrastructure | AI Sensor + new player | Standard hardware procurement; same simple setup process |
| Large network — multiple locations | Software deployment scaled via device management | Linear license cost; no proportional installation overhead |
| Diverse hardware environment | Software compatibility with Windows and Linux players | Single platform across heterogeneous network infrastructure |
Comparison Framework Summary
AdMobilize vs. Alternative DOOH Measurement Approaches — Master Comparison:
| Comparison Dimension | AdMobilize | Panel / Model-Based | Cloud Processing | Custom Hardware |
|---|---|---|---|---|
| Impression type | Sensor-verified real-time | Modeled historical estimate | Dependent on architecture | Sensor-based but installation-dependent |
| Data freshness | Real-time (15ms) | Periodic (annual to semi-annual) | Variable (network-dependent) | Real-time but installation-constrained |
| Campaign-level attribution | Yes | No | Possible | Possible |
| Ad-level attribution | Yes | No | Possible | Possible |
| Programmatic automation | Yes — live SSP feed | No | Possible | Possible |
| Privacy model | Anonymous detection; no visual data transmitted | Panel: identified at recruitment; mobile: device-level data | Visual data transmission risk | Dependent on cloud or edge architecture |
| GDPR alignment | Architecture-level | Depends on mobile data handling | Depends on data transmitted | Depends on processing location |
| Deployment speed | 5 minutes | N/A — research organization engagement | Variable | Days to weeks |
| Hardware requirement | Existing cameras; or AI Sensor | None — desktop research | Varies | Proprietary per-location hardware |
| Capital expenditure | Minimal | Research contract | Variable | Significant |
| Scalability | High — software scales without hardware | N/A | Variable | Linear with hardware cost |
| Cross-operator currency | No — asset-level measurement | Yes — standardized industry metric | Varies | Varies |
| Brand lift measurement | No — impression measurement only | Yes — survey capability | No | No |
Interpretation Note: No single DOOH measurement approach satisfies every measurement requirement across the full campaign lifecycle. The most comprehensive DOOH measurement frameworks combine sensor-verified real-time impression data — for campaign accountability, programmatic trading, and live optimization — with industry currency and panel-based research — for cross-operator planning comparisons and post-exposure brand impact assessment. AdMobilize addresses the real-time impression measurement and programmatic data layer; it does not replace standardized industry audience currency or brand lift research methodologies.
AdMobilize Business Outcomes and ROI
The commercial value of any audience measurement platform is ultimately expressed not in the accuracy of its sensor technology but in the revenue, operational efficiency, and competitive advantages it generates for the organizations that deploy it. AdMobilize’s platform produces measurable business outcomes across three distinct buyer categories — DOOH and OOH network operators, media owners, and retail operators — each with a different revenue model, cost structure, and definition of return on investment.
This section documents the specific business outcomes associated with AdMobilize deployments across each buyer category, organized by the commercial mechanism through which value is generated: revenue uplift, cost reduction, operational efficiency, or competitive positioning. All outcomes are presented as documented commercial effects of verified audience measurement platforms, not as independently audited financial results.
Business Outcome Summary by Buyer Category:
| Buyer Category | Primary ROI Driver | Key Outcome |
|---|---|---|
| DOOH Network Operators | Verified impression data enabling premium CPM justification and programmatic market access | Higher CPMs; automated programmatic revenue; reduced operational overhead |
| OOH Media Owners | Replacing estimated impressions with sensor-verified data for advertiser accountability | Advertiser retention; campaign renewal rates; competitive differentiation |
| Retail Chains | Footfall intelligence enabling operational optimization and retail media monetization | Staff efficiency; conversion improvement; new advertising revenue stream |
| Shopping Malls | Shopper journey measurement enabling programmatic ad sales and tenant performance reporting | Advertising yield optimization; tenant lease value data; programmatic revenue |
| Programmatic Operators | Live SSP data feeds enabling automated multiplier updates and verified CPM calculation | Programmatic revenue growth; reduced manual data management; buyer trust |
| Retail Media Networks | In-store screen audience data enabling brand advertising sales to CPG companies | New recurring revenue from brand advertising; accountable performance channel |
How DOOH Operators Prove Campaign ROI with AdMobilize
The foundational commercial problem in DOOH advertising is a credibility gap: operators know their screens deliver audiences, advertisers want proof. For decades, the gap between what operators knew and what they could verify was filled by estimated reach figures — plausible approximations that satisfied the market but left persistent uncertainty about whether campaigns delivered as represented.
AdMobilize closes this gap with verified, sensor-generated impression data that creates an auditable chain of evidence from content delivery to audience exposure. The business outcome of closing this gap operates at four levels.
Level 1 — CPM Justification:
Programmatic and direct-sold DOOH CPMs are, in every market, higher when supported by verified audience data than when supported by estimates. The mechanism is straightforward: an advertiser paying a premium CPM for a specific audience segment — a particular age and gender demographic, a defined concentration of premium vehicle traffic, a high-dwell urban environment — is paying for a guarantee they cannot verify if the impression data is modeled. When the impression data is sensor-verified, the premium CPM is defensible because the data supports it.
AdMobilize’s platform replaces the implicit assumption — that a location is in a high-traffic area and therefore the audience is probably as represented — with a direct measurement: a sensor detected 2,847 individuals at this asset during this campaign flight, of whom 61% were estimated female and 39% estimated male, with a Gaze Thru Rate of 19%.
This shift from estimated to verified is what AdMobilize describes as the operator leaving money on the table by accepting model-based impressions: the models applied to most OOH inventory tend to estimate conservatively, meaning the verified audience at a given location may exceed what the model projects — and the operator is not capturing the full commercial value of that audience when pricing is based on the lower modeled figure.
Level 2 — Programmatic Market Access:
Programmatic DOOH requires verified dynamic audience data. SSPs including Broadsign Reach, Hivestack, and Vistar Media require media owners to supply impression multipliers — the figures that translate play counts into audience impression volumes for CPM calculation. These multipliers, if derived from periodic model updates, become stale between refresh cycles. If derived from live sensor data, they reflect actual current audience conditions at each asset.
Media owners who supply live, sensor-verified multipliers to SSPs gain two programmatic advantages over operators using static model-based multipliers:
- Higher CPM floor prices, because the verified data supports premium pricing that model-based data cannot sustain against buyer scrutiny
- Inclusion in programmatic campaigns that specify verified impression data as a requirement — campaigns that static-multiplier inventory cannot access
Level 3 — Automated Operational Efficiency:
The manual workflow of gathering audience data, calculating impression multipliers, and submitting updated multipliers to each SSP is a recurring operational cost that scales with the number of SSPs and the frequency of required updates. AdMobilize’s automated SSP multiplier integration eliminates this workflow entirely: sensor data flows directly to connected SSPs and updates multipliers without manual intervention.
For a network operator managing five SSP relationships across a network of 200 screens, the elimination of this manual process represents a meaningful reduction in staff time allocated to non-revenue-generating administrative tasks. The time and resource freed from manual data management is redirectable to sales, client service, and network growth activities.
Level 4 — Post-Campaign Verification and Contract Renewal:
Advertiser contract renewal rates are directly influenced by post-campaign reporting quality. An advertiser who receives a post-campaign report showing estimated reach delivered has no mechanism to verify whether their campaign performed as represented. An advertiser who receives a verified impression record — actual sensor counts, demographic composition, screen-by-screen breakdown, attention duration — has a factual basis for evaluating whether the campaign met its objectives.
AdMobilize’s platform generates this verified post-campaign record automatically, including real impressions delivered, audience demographics, attention metrics, and exportable device-level data. The commercial implication is that media owners using AdMobilize can convert post-campaign reporting from a claim into evidence — a structural shift that reduces buyer skepticism and increases the probability of campaign renewal and expanded investment.
DOOH Operator ROI — Value Drivers Summary:
| Value Driver | Mechanism | Business Outcome |
|---|---|---|
| Premium CPM justification | Verified sensor data supports pricing that estimates cannot | Higher CPMs on direct-sold and programmatic inventory |
| Programmatic market access | Live SSP multiplier integration qualifies inventory for verified-data campaigns | Access to programmatic budgets unavailable to unverified inventory |
| Multiplier automation | Live data eliminates manual SSP submission workflow | Staff time redirected from administration to revenue generation |
| Post-campaign verification | Automatic verified impression records per campaign flight | Improved advertiser retention and contract renewal rates |
| Network optimization | Real audience data informs decisions on where to add or upgrade screens | Capital allocation based on evidence rather than estimation |
| Omnichannel data activation | Location intelligence enables audience retargeting in digital channels | Extended campaign value beyond OOH screen exposure |
How Media Owners Increase CPMs with Verified Audience Data
The relationship between verified audience data and CPM is not a theoretical proposition in DOOH — it is an established commercial dynamic in programmatic advertising broadly. The OOH industry’s migration toward programmatic buying has brought with it the same buyer expectations that govern digital CPM pricing: data-supported inventory commands higher prices than unsupported inventory because it removes one of the primary uncertainties in the purchase decision.
AdMobilize’s platform enables media owners to price inventory at a premium by providing the data infrastructure that justified premium pricing requires.
The CPM Pricing Mechanism:
In a programmatic DOOH auction, the media owner sets a floor CPM below which they will not sell. That floor is the commercial expression of the media owner’s confidence in the audience their inventory delivers. If the confidence is based on a modeled estimate, the floor is constrained by buyer willingness to pay for uncertain data. If the confidence is based on sensor-verified counts, the floor can be set higher because the data supports it.
The specific factors that justify premium CPM positioning when supported by verified data include:
- Demographic specificity: A verified demographic composition — 68% female, 45–64 age range, in a high-dwell retail environment — is a targetable audience segment. An estimated demographic profile with wide confidence intervals is not. Targeting specificity is what converts a screen from a reach vehicle into an audience product, and audience products command higher CPMs than reach vehicles.
- Attention time differentiation: Gaze Thru Rate and attention time data differentiate screens within the same network by the quality of audience engagement, not just the volume of audiences. A screen with a GTR of 28% is demonstrably more engaging than a comparable screen with a GTR of 11%. Pricing that reflects this differentiation enables media owners to establish a premium tier within their own inventory rather than pricing all screens at a uniform CPM regardless of engagement performance.
- Programmatic verification: Programmatic buyers who require verified impression data as a campaign specification — whether for brand safety, audience guarantees, or compliance with agency trading desk standards — will only transact on inventory that can supply that data. Access to this buyer segment is contingent on having verification infrastructure in place.
The Competitive Differentiation Effect:
In any OOH market where multiple media owners are competing for advertiser spend, the media owner with verified audience data occupies a distinct competitive position relative to those with only modeled estimates. This position has a direct commercial effect: it changes the buyer’s question from “how much is this worth given the estimated audience?” to “how much is this worth for a verified, documented audience of X with these characteristics?” — a question that produces a different, higher answer.
Media Owner CPM Outcomes — Documented Basis:
AdMobilize’s DMP documentation states that operators do not usually realize their estimated impressions are normally estimating down rather than up, meaning the verified audience exceeds the modeled projection — and the operator is not capturing that excess commercial value when pricing is based on the lower modeled figure. Replacing modeled with verified impressions at a given location, where the actual audience exceeds the estimate, directly expands the commercial value of that inventory without any change to the screen or its physical position.
How Retailers Optimize Operations with Footfall Intelligence
Retail operators deploying AdMobilize’s footfall counter and in-store analytics platform generate business outcomes across three distinct categories: operational efficiency, customer experience and conversion improvement, and retail media revenue generation. Each category represents a different line of the business — operations, commercial performance, and new revenue — and each is enabled by the same underlying dataset.
Category 1 — Operational Efficiency:
The most immediate operational application of footfall intelligence is staff allocation — matching the number of staff present in each store zone or on each shift to the actual visitor traffic rather than to historical norms or managerial estimates.
| Operational Application | AdMobilize Data Used | Business Outcome |
|---|---|---|
| Shift scheduling | Hourly footfall patterns by day of week and season | Staff hours matched to actual visitor volume — reduces overstaffing cost and understaffing service failures |
| Zone-level staffing | Real-time and historical occupancy by store zone | Allocation of staff to zones with verified high traffic rather than assumed high traffic |
| Opening and closing decisions | Footfall data by time window | Evidence-based decisions on extended hours for high-traffic periods |
| Product placement optimization | Heat map data showing customer movement and dwell time by zone | Product placement guided by where customers actually spend time, not where merchandising convention suggests |
| Display and signage positioning | Gaze Thru Rate per screen and per zone | Digital signage and display placement optimized for maximum confirmed audience exposure |
Category 2 — Customer Experience and Conversion:
Footfall data combined with POS (point-of-sale) transaction data creates a conversion rate framework that retail operators previously could not construct accurately because they did not have a reliable visitor count to serve as the denominator. AdMobilize’s footfall counter provides that denominator in real time and historically.
The conversion rate framework — visitors counted by AdMobilize divided into transactions recorded by POS — enables retail operators to measure the commercial performance of any change to the store environment:
- A product display relocation can be evaluated by comparing pre- and post-change conversion rates in the affected zone
- A change to in-store messaging or digital signage content can be evaluated by comparing Gaze Thru Rate before and after the change
- A promotional event can be evaluated by comparing footfall and conversion during the event period against equivalent non-promotional periods
This evidential framework for retail commercial decisions replaces opinion-driven and convention-based decision-making with data-driven decision-making — a structural improvement in the quality of retail management decisions that accumulates commercial value over time.
Category 3 — Retail Media Revenue:
The third and commercially most significant outcome category for retail operators is the monetization of in-store digital signage as advertising inventory — retail media. AdMobilize’s footfall intelligence platform provides the measurement infrastructure that makes retail media a verifiable, accountable advertising channel rather than a screen time product.
The retail media revenue chain enabled by AdMobilize operates as follows:
- Footfall counting establishes the total audience universe at each screen location — the number of shoppers who passed within range of each display
- Demographic classification provides the audience composition data — the age and gender breakdown of shoppers at each location and time window
- Gaze Thru Rate and confirmed view data establish how many shoppers actually viewed the content on each screen during each campaign flight
- POS proximity data enables connection between screen-level audience exposure and purchase proximity — how many of the shoppers who viewed an ad then made a purchase in the category being advertised
This four-layer dataset — total audience, demographic composition, confirmed views, purchase proximity — enables the retail operator to present brand advertisers with a performance-based, verifiable advertising proposition rather than a screen-time product. The commercial consequence is that CPG brands and other consumer advertisers who require performance accountability can allocate budgets to verified retail DOOH inventory that they cannot allocate to unverified screen-time products.
AdMobilize describes this as the last point of influence — the moment in the shopper journey when a consumer, already inside a retail environment with purchase intent, encounters a brand message at the point where it can directly influence the purchase decision. The platform’s measurement of engagement at that moment — not just whether the screen played an ad, but whether the shopper looked at it — is what transforms a screen-time product into a performance advertising channel.
Retail Operator ROI — Value Drivers Summary:
| Value Driver | Mechanism | Business Outcome |
|---|---|---|
| Staff cost efficiency | Footfall data matched to shift scheduling | Reduced overstaffing cost; reduced understaffing service failures |
| Zone optimization | Heat map data guiding staff and product placement | Higher commercial yield from high-traffic zones |
| POS correlation | Footfall denominator enables conversion rate measurement | Evidence base for retail environment decisions |
| Digital signage optimization | Confirmed view data per screen | Content and placement decisions based on engagement evidence |
| Retail media CPM | Verified demographic data and confirmed views for brand advertisers | Premium CPMs for in-store advertising inventory |
| Programmatic retail media | SSP connectivity for in-store DOOH inventory | Access to programmatic brand advertising budgets |
| Contract renewal with brands | Post-campaign impression and conversion-proximity verification | Advertiser confidence in retail media investment; renewal and budget growth |
How Shopping Malls Increase Advertising Revenue with AdMobilize
Shopping malls operate a dual commercial model — retail leasing and advertising — and AdMobilize generates documented business outcomes in both. The measurement platform provides the data infrastructure that enables malls to price, sell, and report on DOOH advertising inventory with the same accountability standards that digital advertising buyers expect.
Mall Advertising Revenue Outcomes:
| Outcome | AdMobilize Mechanism | Commercial Effect |
|---|---|---|
| Premium DOOH inventory pricing | Verified shopper counts and demographic composition at each display location | Advertising priced on verified audience rather than estimated footfall |
| Programmatic ad sales | SSP integration for mall DOOH network | Access to programmatic advertising budgets requiring verified impression data |
| Zone-based inventory packaging | Site Group analytics grouping mall zones by audience composition | High-value zones packaged at premium CPMs based on verified demographic density |
| Tenant performance reporting | Zone-level footfall data by retail unit area | Data for lease negotiations and tenant mix optimization — commercial landlord intelligence |
| Seasonal yield optimization | Real-time footfall data identifying high-traffic periods | Dynamic pricing tied to verified peak audience periods |
AdMobilize ROI — Master Business Outcome Reference
| Buyer | Investment | Direct Revenue Outcomes | Operational Outcomes |
|---|---|---|---|
| DOOH Network Operator | Platform license (SaaS, Network, or Programmatic plan) | Higher CPMs on direct and programmatic inventory; programmatic market access; new buyer segment access | Automated SSP multiplier updates; verified post-campaign reporting; network optimization data |
| OOH Media Owner | Platform license + deployment | Premium pricing on verified inventory; advertiser retention improvement | Manual reporting workflow elimination; competitive differentiation in buyer presentations |
| Retail Chain | Platform license + footfall counter deployment | New retail media revenue from brand advertisers; in-store programmatic DOOH revenue | Staff allocation efficiency; POS conversion rate visibility; product placement optimization |
| Shopping Mall | Platform license + network deployment | Higher DOOH advertising yield; programmatic ad sales; tenant lease data | Shopper journey intelligence; zone-level traffic management; seasonal pricing evidence |
| Programmatic Operator | Programmatic plan + SSP integration | Verified CPMs for programmatic inventory; access to verified-data campaign specifications | Automated multiplier management; live audience signal during campaign flight |
| Cinema OOH Operator | Platform license + screen deployment | Verified audience data for cinema advertising inventory above ticket-sales estimates | One-click campaign reporting for cinema advertisers; demographic reporting per session |
| Digital Signage Reseller | White label license | New recurring measurement subscription revenue alongside hardware contracts | No additional analytics build required; instant client-facing measurement capability |
AdMobilize Frequently Asked Questions
General Questions About AdMobilize
What is AdMobilize?
AdMobilize is an AI-powered audience measurement and physical-world analytics platform that uses computer vision technology to measure audiences, traffic, and consumer behavior in physical environments — including digital out-of-home advertising networks, retail stores, shopping malls, and roadside infrastructure — without collecting personally identifiable information at any stage of the measurement process.
Who founded AdMobilize?
AdMobilize was founded by Rodolfo Saccoman and Brian Sanchez. Rodolfo Saccoman, a Brazilian-American entrepreneur and Cornell University graduate, founded the company in 2014 in Miami, Florida and served as CEO until 2022. Brian Sanchez co-founded the company and continues to serve as Chief Technology Officer.
When was AdMobilize founded?
AdMobilize was formally incorporated and received its first institutional funding in 2014, which is the founding year cited in the company’s own disclosures and the founder’s public biography. Some third-party intelligence databases report earlier dates reflecting pre-incorporation development activity, but 2014 is the primary self-reported and most widely cited founding year.
Where is AdMobilize headquartered?
AdMobilize is headquartered at 7900 Oak Lane, Suite 400, Miami Lakes, Florida 33016, United States. The company also maintains or has maintained regional offices in London, United Kingdom; Bogotá, Colombia; and São Paulo, Brazil.
Who is the CEO of AdMobilize?
Jose Mora has served as CEO of AdMobilize since March 2022, succeeding founder Rodolfo Saccoman following a formally announced succession process. Mora had been a member of AdMobilize’s senior leadership team for more than five years before his appointment to the CEO role.
Who owns AdMobilize?
AdMobilize is a wholly owned subsidiary of Rokk3r, Inc., a Miami-based holding company and venture builder that acquired AdMobilize and its hardware spinoff MATRIX Labs in February 2021 for a reported combined consideration of $19.5 million. Rokk3r trades on the OTC markets under the ticker ROKK.
How long has AdMobilize been in business?
AdMobilize has been in commercial operation since its founding in 2014, giving the company more than a decade of operational history in the DOOH and physical-world audience measurement space at the time of this profile.
How many clients does AdMobilize have?
AdMobilize’s client base is documented at 200 or more clients across more than 80 countries, with a cumulative record exceeding 15 billion anonymous AI audience engagements measured across its global network.
What industries does AdMobilize serve?
AdMobilize serves digital out-of-home network operators, OOH media owners, retail chains, shopping malls, events and live venues, cinema advertising operators, broadcast and NextGen TV providers, programmatic DOOH platforms, media agencies and planning teams, and digital signage resellers and system integrators.
What is AdMobilize’s annual revenue?
AdMobilize does not publicly disclose revenue figures. As a privately held subsidiary of Rokk3r, Inc., its financials are not separately reported. Third-party intelligence platforms estimate annual revenue in the range of $1 million to $25 million, though these figures are modeled estimates and have not been confirmed by the company.
How many employees does AdMobilize have?
Employee count estimates across available intelligence platforms range from approximately 17 to 30 employees as of the most recent data points, with the company reporting a presence across five continents. Peak documented headcount was approximately 40 employees during the company’s growth phase.
Technology and Platform Questions
How does AdMobilize’s computer vision work?
AdMobilize’s platform uses computer vision algorithms — including proprietary models and industry-standard architectures such as YOLO X and SSD — to analyze live camera feeds and detect the presence of individuals or vehicles within a defined field of view. All processing occurs on the local device at the point of measurement, producing anonymous aggregate outputs including people counts, demographic classifications, attention metrics, and vehicle data within 15 milliseconds of each detection event.
How fast does AdMobilize process audience data?
AdMobilize processes audience data at the edge — on the local device — in as little as 15 milliseconds per detection cycle. This on-device processing speed enables real-time content triggering and live campaign monitoring without any dependency on cloud processing infrastructure.
What hardware does AdMobilize require?
AdMobilize’s audience measurement software can be deployed on compatible Windows or Linux media players using existing IP cameras — with no additional hardware required. For locations without existing camera infrastructure, AdMobilize offers its proprietary AI Sensor: a standalone WiFi-connected hardware unit configured via mobile phone that requires no specialist installation and is operational immediately upon connection.
What operating systems does AdMobilize support?
AdMobilize’s software is compatible with Windows and Linux operating systems for deployment on local media players and digital signage players.
How quickly can AdMobilize be deployed?
AdMobilize documents a deployment time of approximately five minutes for software-only installations on compatible existing hardware. The AI Sensor hardware unit is operational for immediate performance tracking upon connection. Both deployment options are designed to require no specialist installation expertise.
Does AdMobilize work with existing cameras?
AdMobilize’s software is designed for deployment on existing IP camera infrastructure without requiring proprietary hardware replacement. The software installs on the connected media player and accesses the existing camera feed for on-device processing.
What is a Gaze Thru Rate in AdMobilize?
Gaze Thru Rate, abbreviated as GTR, is AdMobilize’s proprietary engagement quality metric. It is calculated as the ratio of confirmed views — instances where a detected individual is confirmed to be directing attention toward a display — to total impressions, which is the total count of individuals detected within proximity of the display. GTR is expressed as a percentage: Confirmed Views ÷ Impressions × 100. A higher GTR indicates that a greater proportion of the audience in proximity to a screen actively engaged with its content rather than passing without viewing.
What is the difference between impressions and confirmed views in AdMobilize?
Impressions in AdMobilize represent the total Opportunity to See — all individuals detected within a defined proximity of an advertising asset during a measurement period, regardless of whether they directed attention toward the display. Confirmed views represent a subset of impressions: only those individuals confirmed by the computer vision system to be actively directing their gaze toward the display surface. The ratio between these two metrics produces the Gaze Thru Rate.
Does AdMobilize measure vehicle traffic?
AdMobilize provides a dedicated Traffic Measurement solution that counts and classifies vehicles passing roadside advertising assets in real time. Vehicle data includes total vehicle count, vehicle type classification (cars, buses, trucks, motorcycles), vehicle speed, directional data, and — through the Vehicle Recognition Engine — vehicle brand identification at commercial scale.
Can AdMobilize measure emotion or facial expression?
AdMobilize’s platform historically included emotion analysis as a documented output metric alongside age, gender, and other demographic classifications. Current platform documentation focuses on demographic classification (age range and gender), attention metrics (confirmed views, dwell time, GTR), people counts, and vehicle data as the primary measurement outputs. Operators seeking specific information on current emotion analysis capabilities are advised to confirm directly with AdMobilize’s sales team.
What is AdMobilize’s Mobile Audience Location Data product?
Mobile Audience Location Data is an AdMobilize product that adds a mobile and behavioral intelligence layer to physical sensor data without requiring additional hardware. It combines on-ground computer vision sensor data with mobile device location and SDK data sourced from authorized global partner networks. The combined output provides audience profiling that includes behavioral interests, income level indicators, purchase intent signals, and lifestyle segmentation at each site location, all from GDPR-compliant data sources.
Privacy and Compliance Questions
Does AdMobilize use facial recognition?
AdMobilize does not use facial recognition. The platform applies facial detection — confirming that a person is present within a camera field of view and assigning anonymous statistical demographic attributes — without identifying who that person is. No individual identification, biometric matching, or facial template is created at any stage. AdMobilize formally describes its approach as “Detection, Never Recognition.”
Does AdMobilize store video footage?
AdMobilize does not store video footage. All visual data is processed on-device within 15 milliseconds and immediately discarded. No images, video frames, or pixel-level data are saved locally or transmitted to cloud systems at any point in the measurement process.
Does AdMobilize collect personal data?
AdMobilize’s audience measurement platform does not collect personally identifiable information. The platform generates anonymous, aggregated metadata — statistical summaries of group behavior such as people counts, demographic distributions, and engagement metrics — that cannot be attributed to any specific individual. AdMobilize formally states that no image, video, or personally identifiable information is ever processed, retained, shared, or sold.
Is AdMobilize GDPR compliant?
AdMobilize’s architecture is designed for alignment with the EU General Data Protection Regulation. The platform generates no personal data as defined under GDPR Article 4(1), produces no biometric data as defined under GDPR Article 4(14), and does not process data for the purpose of uniquely identifying any natural person as governed by GDPR Article 9. The platform incorporates Privacy by Design principles, as referenced under GDPR Article 25, into its product development and data usage approach. The Mobile Audience Location Data layer uses fully GDPR-compliant datasets sourced through authorized partner consent frameworks.
Is AdMobilize CCPA compliant?
AdMobilize’s measurement platform does not generate personal information as defined under the California Consumer Privacy Act. No biometric information, as defined under CCPA, is collected or processed. The platform does not sell personal information. These positions are consistent with CCPA compliance for the audience measurement function. The mobile data layer uses fully authorized, consented data sources consistent with CCPA requirements.
Does AdMobilize identify individuals?
AdMobilize does not identify individuals. The platform’s computer vision system confirms that a person is present and assigns anonymous statistical demographic attributes — estimated age range and gender — at the population level. No individual is identified, tracked, or profiled, and no record attributable to a specific person is created at any stage of the measurement process.
What data does AdMobilize NOT collect?
AdMobilize does not collect video footage, photographs, facial templates, biometric identifiers, personally identifiable information, device identifiers linked to individuals, names, contact information, or any data that can identify a specific natural person. No correlations between AdMobilize’s anonymous outputs and any externally identifiable data set occur or are enabled by the platform.
What is “Privacy by Design” in AdMobilize?
Privacy by Design in AdMobilize refers to the foundational principle that privacy protections are built into the platform’s technical architecture from the outset — not added as a compliance layer after the product was built. The practical implementation means that the platform is structurally incapable of generating personal data: on-device processing discards all visual data before it is transmitted, no biometric templates are created, and all outputs are anonymous aggregate statistics. Privacy protection is not a configurable setting — it is an immutable property of how the system processes data.
Pricing and Plans Questions
How much does AdMobilize cost?
AdMobilize does not publicly disclose specific subscription fees, per-device rates, or revenue-share percentages for any of its three pricing tiers. Pricing is available through a direct engagement with AdMobilize’s sales team, initiated via a demo request at admobilize.com.
How many pricing plans does AdMobilize offer?
AdMobilize offers three pricing plans: SaaS License, Network License, and Programmatic. Each plan uses a different billing mechanism suited to a different deployment scale and commercial model.
What is AdMobilize’s SaaS License plan?
The SaaS License plan is AdMobilize’s entry-level tier, billed on a pay-per-license basis. It includes dashboard access, API access, and multi-user and multi-project access. It is designed for operators deploying AdMobilize for the first time, managing a smaller number of screens, or requiring rapid activation with minimal integration prerequisites.
What is AdMobilize’s Network License plan?
The Network License plan is AdMobilize’s mid-tier offering, billed on a pool-based model where pricing is determined by total network size rather than per device. It includes dashboard access, API access, and CMS integration for reporting and triggering across platforms including Broadsign, LDSK, and Doohmain. It is designed for established DOOH network operators and multi-site deployments where volume pricing and CMS integration depth are commercial priorities.
What is AdMobilize’s Programmatic plan?
The Programmatic plan is AdMobilize’s advanced tier, billed as a percentage of the operator’s programmatic revenue. It includes direct integration with SSPs and DSPs including Broadsign Reach and Hivestack, automated impression multiplier updates, and live audience data feeds for programmatic DOOH campaigns. It is designed for network operators actively trading DOOH inventory through programmatic channels.
Does AdMobilize charge per device or per location?
Under the SaaS License plan, billing is structured on a per-license basis corresponding to individual devices or installations. Under the Network License plan, billing is pool-based and determined by total network size rather than per-device count. The Programmatic plan bills as a percentage of programmatic fee rather than per device or per location.
Does AdMobilize offer a free trial?
AdMobilize does not document a free trial offering on its public-facing pages. The company offers a one-on-one demo session as the standard entry point for prospective clients, accessible via a scheduling link on admobilize.com.
What is included in all AdMobilize plans?
All three AdMobilize pricing plans include dashboard access and API access as baseline features. Multi-user and multi-project access is available across plans.
Integration Questions
Does AdMobilize integrate with Broadsign?
AdMobilize has a formal integration with Broadsign, announced as a dedicated partnership in February 2020 and documented as a core feature of the AdMobilize platform. The integration enables audience data to pass from AdMobilize to Broadsign in real time, supporting campaign-level and ad-level audience reporting, dynamic content triggering, and live data feed to Broadsign Reach for programmatic impression multiplier automation.
Does AdMobilize integrate with BrightSign?
AdMobilize provides a multi-level integration with BrightSign that operates at three layers simultaneously: AdMobilize’s software runs natively on the BrightSign media player, BrightSign’s Author CMS is integrated into AdMobilize’s dashboard, and triggering conditions are established within the CMS using live AdMobilize audience data. The integration supports network, screen, campaign, and file (ad) level reporting.
What CMS platforms does AdMobilize support?
AdMobilize supports CMS integrations with Broadsign, BrightSign (Author CMS), LDSK (LiveDOOH Signkick), Ayuda Media Systems, Scala, and Doohmain. The platform also supports integration with additional CMS platforms beyond those listed.
Does AdMobilize have an API?
AdMobilize provides a full API available across all three pricing tiers. The API enables programmatic access to all platform data, including real-time and historical audience metrics, for integration with planning engines, SSPs, DSPs, content management systems, and custom analytics platforms.
Can AdMobilize connect to SSPs and DSPs?
AdMobilize connects to supply-side and demand-side platforms for programmatic DOOH trading. Confirmed SSP integrations include Broadsign Reach, Hivestack, Vistar Media, and Adomni. Any compatible DSP can access AdMobilize data via the platform’s API. The Programmatic pricing tier is specifically designed to support full SSP and DSP integration with automated impression multiplier updates and live audience data feeds.
Does AdMobilize integrate with Scala?
AdMobilize maintains a CMS integration with Scala that provides campaign analytics and content performance data within the Scala platform environment.
Can AdMobilize be white-labeled?
AdMobilize offers a White Label option that enables resellers, DOOH network operators, and media owners to present the AdMobilize analytics platform to their clients under their own brand identity. The core platform functionality, data infrastructure, and measurement capabilities remain identical to the standard platform — only the visual branding layer presented to end clients is customized.
Use Case Questions
Can AdMobilize be used in retail stores?
AdMobilize provides a dedicated footfall counter and in-store analytics solution for retail chains that includes people counting, heat mapping, demographic analytics, POS data correlation, digital signage content optimization, and retail media monetization through programmatic platform connectivity.
Does AdMobilize work for shopping malls?
AdMobilize is deployed across shopping malls for shopper journey measurement, zone-level audience analytics, DOOH display impact measurement, programmatic advertising inventory management, and tenant-level footfall reporting. The platform supports heat mapping across full mall floor plans and SSP connectivity for programmatic ad sales.
Can AdMobilize measure billboard audiences?
AdMobilize’s Audience Measurement and Traffic Measurement solutions are both applicable to billboard measurement. The Audience Measurement solution counts pedestrians and measures engagement with digital billboard content. The Traffic Measurement solution counts vehicles, classifies vehicle types, and — through the Vehicle Recognition Engine — identifies vehicle brands passing roadside billboard locations.
Does AdMobilize count vehicles?
AdMobilize provides a dedicated Traffic Measurement platform for vehicle counting. The platform counts vehicles passing roadside assets in real time, 24 hours a day, classifying them by type, measuring speed, and recording directional data. The Vehicle Recognition Engine extends this capability to brand-level vehicle identification in motion.
Does AdMobilize work for events and live venues?
AdMobilize is deployed in events and live venue contexts for attendee counting, zone-level traffic management, digital signage engagement measurement, and advertising space monetization based on verified attendee data. The platform provides real-time and cumulative footfall data, demographic composition, and Gaze Thru Rate per event display.
Does AdMobilize work for cinema advertising?
AdMobilize’s audience measurement platform is deployed in cinema advertising environments through partnerships including BackLite Media, where it provides screen-level audience counting, demographic reporting, and verified view data across cinema networks. The deployment enabled BackLite Media to offer advertisers the ability to book campaigns by verified number of views rather than ticket-sales estimates.
Can AdMobilize be used for NextGen TV broadcasting?
AdMobilize has a documented research and development partnership with USSI Global for audience analytics solutions supporting NextGen TV (ATSC 3.0) broadcast services. The partnership applies AdMobilize’s sensor-based audience measurement methodology to live broadcast advertising contexts via the ATSC 3.0 standard’s IP backbone, providing impression measurement, emotional reaction data, and audience experience analytics during live broadcasts.
Can AdMobilize be used outside of advertising?
AdMobilize offers a Custom Computer Vision Solutions vertical that deploys AI measurement models for non-advertising applications. Documented use cases include PPE (Personal Protective Equipment) detection, damage detection, flood detection, parking management, traffic flow analysis, public transport occupancy measurement, pedestrian safety monitoring, plant health monitoring, weed detection, pest and anomaly detection, agricultural sorting and grading, tower and infrastructure analysis, and site security.
Does AdMobilize work globally?
AdMobilize’s platform is deployed across more than 80 countries with a client base of 200 or more organizations. Documented deployments span North America, Latin America (including Peru, Colombia, Brazil, Chile, Argentina, and Mexico), Europe (including the United Kingdom), the Middle East and Africa (including the UAE, Lebanon, Algeria, Ivory Coast, Armenia, and South Africa), and additional international regions.
AdMobilize and the DOOH Audience Measurement Industry
AdMobilize operates at the convergence of three structural forces reshaping the out-of-home advertising landscape: the digital transformation of physical advertising infrastructure, the standardization of programmatic buying as the primary transactional mechanism for DOOH inventory, and the replacement of estimated audience data with sensor-verified measurement as the foundational currency of the medium. Understanding AdMobilize’s market position requires understanding the industry context in which its platform operates — and the trajectory that makes verified physical-world audience measurement one of the most commercially consequential capabilities in the current advertising technology landscape.
This section documents four dimensions of the industry context: the scale and growth trajectory of the global DOOH and OOH advertising market, the structural shift from estimated to verified impressions, the rise of programmatic DOOH as a trading standard, and the role of AI and computer vision in enabling physical-world audience analytics at scale.
The Global DOOH and OOH Advertising Market
Out-of-home advertising is one of the oldest commercial media formats and one of the few that has sustained growth through the digital era rather than experiencing the structural decline that has affected print, radio, and linear television. The medium’s resilience is attributable to its position in the physical world — OOH cannot be blocked by an ad blocker, skipped after five seconds, or scrolled past.
Global Market Scale and Growth Trajectory:
| Market Metric | Value | Context |
|---|---|---|
| Global OOH and DOOH market size (2024) | $39.42 billion | Combined OOH and DOOH advertising spend |
| Global OOH and DOOH market size (2025) | $41.31 billion | Continued growth trajectory |
| Projected global market size (2035) | $65.96 billion | 4.79% CAGR 2025–2035 projection |
| DOOH share of total OOH spend (2024) | 34% | Digital’s share of total OOH investment |
| US DOOH ad spend (2025) | $4.40 billion | United States as leading single national market |
| US digital billboard count increase (2024) | 40% increase to approximately 16,600 units | Infrastructure expansion driving inventory growth |
| Transit advertising growth (2024) | 10.6% year-on-year | Fastest-growing OOH sub-format by growth rate |
| OOH ad spend milestone (2024) | First year in history to surpass $9 billion in US OOH revenue | Structural momentum in the medium |
| In-store retail media DOOH growth contribution | Expected to drive 55.9% of DOOH total growth (2025–2029) | Retail as the fastest-growing DOOH sub-category |
Regional Market Distribution:
| Region | 2024 Market Position | Growth Dynamic |
|---|---|---|
| North America | Leading market — 36.8% of global DOOH | Advanced infrastructure; high digital adoption; strong programmatic penetration |
| Asia-Pacific | Fastest-growing region — $8.62 billion DOOH (2024) | Rapid urbanization; smart city investment; significant China market |
| Europe | Mature market — $3.89 billion DOOH spend (2024) | UK leads programmatic adoption; significant continental infrastructure |
| Latin America | Emerging market | Growth in Brazil, Peru, Colombia, Mexico, Chile, Argentina |
| Middle East and Africa | Development stage with premium inventory | UAE, Lebanon, South Africa leading regional DOOH investment |
The structural driver of OOH’s sustained growth is digitization. As static outdoor formats are replaced or supplemented with digital screens, the inventory becomes programmable — enabling dynamic content, audience-based activation, and programmatic trading that static formats cannot support. The share of OOH revenue captured by digital formats is projected to cross 40% and continue increasing through the end of the decade, with DOOH capturing progressively more of the total medium’s growth.
The Shift from Estimated to Verified OOH Impressions
The single most consequential structural change in the DOOH advertising ecosystem over the past decade — and the commercial opportunity that defines AdMobilize’s market position — is the industry’s transition from estimated audience data to verified, sensor-generated impression measurement.
How OOH Impression Measurement Evolved:
The history of OOH audience measurement can be understood in three phases, each reflecting the technology available to derive an audience figure for a physical advertising location:
Phase 1 — Traffic Circulation Counts (pre-digital): The foundational measurement methodology for OOH inventory was circulation — the count of vehicles and pedestrians passing a given billboard location, derived from government Department of Transportation data and transit authority ridership figures. These counts established how many people could theoretically have been exposed to an advertising message at a given location during a given period. The figures were population-level estimates based on periodic surveys and did not reflect actual ad exposure or audience composition.
Phase 2 — Panel-Based and Mobile-Enhanced Modeling: As the industry matured, circulation data was augmented with mobile location data, visibility studies, eye-tracking research, and demographic modeling. Organizations such as Geopath in the United States and equivalent national measurement bodies in other markets developed methodologies that combined traffic counts with mobile trip data, demographic surveys, and visibility adjustment factors to produce more granular Opportunity to See estimates. This approach improved the sophistication of OOH measurement significantly but retained the fundamental characteristic of the previous phase: the audience figure was a modeled estimate derived from data collected periodically, not a real-time measurement of who was actually present at the asset during a specific campaign flight.
Phase 3 — Real-Time Sensor-Verified Measurement: The deployment of computer vision sensors directly at advertising asset locations — either through AI-enabled cameras on digital signage players or through dedicated AI sensor hardware — created the possibility of measuring, for the first time, who was actually present at an advertising asset at the moment a specific ad was playing. This capability transforms the impression from an estimated projection into a verified, auditable event record: a sensor confirmed the presence of a specific number of individuals, classified their anonymous demographic attributes, recorded whether they directed attention toward the screen, and timestamped the event with the content that was playing.
AdMobilize operates in Phase 3. Its platform generates verified impression records rather than modeled estimates — a distinction that is commercially material for programmatic trading, CPM justification, post-campaign reporting, and advertiser accountability.
Why Verified Impressions Are Becoming a Market Requirement:
The transition from estimated to verified impressions is accelerating because of structural changes in how DOOH inventory is bought and sold. As programmatic buying becomes the standard transactional mechanism for DOOH — with automated real-time bidding replacing manual proposal and insertion order workflows — the data quality requirements of the transaction change. Programmatic buyers expect the same data infrastructure for DOOH that they use for digital display: verified impression counts, real-time audience signals, and post-campaign proof of delivery. Estimated panel data is insufficient for this transaction framework because it cannot be verified at the campaign level, updated in real time, or attributed to specific content plays.
The industry data reflects this transition: programmatic DOOH expanded 34% in 2024 in the United States, and projections indicate 23% further growth. Global programmatic DOOH ad spending is projected to reach $1.22 billion in 2026. As programmatic transactions scale, the verified-data requirement scales with them.
The Rise of Programmatic DOOH
Programmatic DOOH is the automated, data-driven buying and selling of digital out-of-home advertising inventory through software platforms that apply real-time bidding, audience data, and automated placement logic — the same fundamental infrastructure that governs programmatic digital display advertising, applied to the physical world.
Programmatic DOOH Market Scale:
| Metric | Value |
|---|---|
| Global programmatic DOOH market size (2024) | $7.5 billion |
| Global programmatic DOOH market size (2025) | $9.0 billion |
| Global programmatic DOOH market size (projected 2034) | $45.8 billion |
| Programmatic DOOH platform market CAGR (2024–2034) | 19.8% |
| Programmatic DOOH spending growth (US, 2024) | 34% year-on-year |
| Programmatic DOOH spending growth (projected 2025) | 22.6% year-on-year |
| North America programmatic share of DOOH spend | Over 70% of digital OOH spend conducted via programmatic platforms |
| T-Mobile acquisition of Vistar Media (2025) | $600 million — signals programmatic DOOH entering mainstream infrastructure |
| DOOH as share of total OOH revenue (2025 projection) | 42% |
What Programmatic DOOH Enables:
Programmatic DOOH transforms DOOH from a manual, long-lead media buy into an automated, data-enabled channel that shares core operational characteristics with digital advertising:
- Instant activation: Campaigns can be activated across thousands of screens immediately, rather than requiring the proposal, negotiation, and trafficking workflows of traditional direct-sold OOH
- Audience-based targeting: Inventory is packaged and purchased based on the audience characteristics at each location — demographic composition, behavioral signals, and purchase intent — rather than the location’s physical attributes alone
- Real-time optimization: Campaign performance data — impressions delivered, demographic composition, engagement rates — is available during the campaign flight, enabling mid-campaign adjustments rather than waiting for post-campaign reports
- Dynamic creative: Content can change automatically based on real-world triggers — time of day, weather conditions, detected audience demographic composition, traffic patterns — without manual intervention
- Omnichannel integration: Programmatic DOOH can be planned, bought, and reported within the same platforms used for digital display, mobile, and CTV advertising, enabling coordinated cross-channel campaign management
The Data Infrastructure Requirement:
Programmatic DOOH cannot function at scale without verified, dynamic audience data. The impression multipliers that determine CPM calculations must reflect actual measured audience conditions, not periodic survey-based estimates. SSPs require live audience signals to price inventory for programmatic buyers. DSPs require verified impression records to report campaign delivery to their clients. The entire programmatic transaction framework depends on a measurement layer that produces real-time, verified data — which is precisely the function AdMobilize’s platform performs.
The market’s recognition of this dependency is reflected in the major corporate transactions of 2024 and 2025: T-Mobile’s $600 million acquisition of Vistar Media, JCDecaux’s launch of the first global airport programmatic DOOH offering, and Broadsign’s acquisition of OutMoove. These transactions signal that programmatic DOOH infrastructure — including the audience data layer that makes programmatic transactions possible — is being consolidated into the mainstream advertising technology stack.
The 59% Gap:
Despite the growth trajectory and structural momentum of programmatic DOOH, surveys indicate that 59% of marketers still buy OOH inventory through direct deals rather than programmatic platforms. This gap between adoption intent and actual transactional behavior reflects the friction of transitioning a medium built on direct relationships and physical inventory management into a fully automated programmatic ecosystem. The primary friction point is measurement: programmatic buying requires standardized, verified audience data that many OOH networks have not yet deployed. Solving the measurement gap — which is what AdMobilize’s platform does — is the prerequisite for closing the adoption gap.
The Role of AI and Computer Vision in Physical-World Analytics
Artificial intelligence and computer vision are the enabling technologies that make Phase 3 impression measurement possible. Without AI-powered object detection algorithms capable of processing camera feeds in real time on low-power edge devices, the economic and operational model of sensor-verified DOOH measurement would not be commercially scalable.
The AI Technology Transition in DOOH:
The application of AI and computer vision to DOOH measurement represents a broader pattern of AI penetration into physical-world observation systems. The same class of models — convolutional neural networks, YOLO-class real-time object detection, demographic classification models — that power autonomous vehicle perception, retail analytics, smart city infrastructure monitoring, and industrial inspection systems are being applied to advertising measurement contexts.
In the DOOH sector specifically, AI-based capabilities are reshaping measurement and campaign management in four documented ways:
1. Real-Time Impression Measurement: Computer vision replaces the periodic survey-based methodology of traditional OOH audience estimation with a continuous, real-time measurement record. Every person detected at an advertising asset produces a timestamped, anonymous impression record linked to the content that was playing — an event-level data granularity that panel research methodologies cannot produce.
2. Dynamic Content Triggering: AI-detected audience signals feed directly into content management systems, enabling dynamic creative delivery. Approximately 45% of advanced DOOH deployments in urban centers have implemented AI-based dynamic content switching — activating specific creative executions when defined audience conditions are detected. This capability requires real-time AI processing at the device level; cloud-based processing introduces the latency that makes true real-time triggering impractical.
3. Vehicle Intelligence: Beyond human audience measurement, AI enables vehicle recognition at commercial scale — classifying vehicle types, identifying vehicle brands, and measuring traffic speed and direction in real time. This capability enables OOH media owners with roadside inventory to package their assets as targetable audience products based on the vehicles passing each location, not merely the traffic volume.
4. Operational Intelligence: Beyond advertising measurement, AI computer vision is being applied to operational and infrastructure management — PPE compliance monitoring, parking management, crowd management, agricultural monitoring — creating new commercial applications for the same underlying technology stack. AdMobilize’s Custom Computer Vision Solutions vertical addresses this broader market.
AI in Physical-World Analytics — Market Signals:
| Signal | Context |
|---|---|
| 45% of advanced DOOH deployments using AI dynamic content switching | Documented adoption rate for AI-triggered content in urban deployments |
| 15ms on-device processing latency (AdMobilize) | Edge AI processing speed enabling real-time measurement and triggering |
| Computer vision accuracy exceeding 95% (AdMobilize documented) | AI model precision for anonymous detection and classification |
| AI targeting uptake as a key programmatic DOOH growth driver | AI-enabled targeting cited among the top market growth drivers |
The Privacy Architecture Constraint:
AI computer vision for advertising measurement operates under a regulatory constraint that shapes the commercial model: GDPR and equivalent privacy regulations impose strict requirements on the processing of biometric data, including facial images used for identification. The regulatory framework effectively mandates that commercially deployable AI measurement systems for advertising — which must operate across diverse populations in public spaces without individual consent — must implement anonymous detection rather than facial recognition.
This constraint is not merely a compliance consideration — it is a commercial design requirement that defines the viable architecture for advertising measurement AI. Systems that process visual data on-device and discard it before transmission, generating only anonymous aggregate outputs, satisfy the regulatory framework. Systems that transmit or store visual data, or that generate individual identification events, face significant regulatory barriers to commercial deployment across jurisdictions.
AdMobilize’s edge AI architecture is specifically designed around this regulatory constraint: Privacy by Design is a commercial viability requirement for the market AdMobilize serves, not merely a ethical positioning choice.
AdMobilize's Position Within the Industry Evolution
AdMobilize entered the DOOH measurement market in 2014 — the same period during which the structural transition from estimated impressions to sensor-verified measurement began accelerating, and approximately six years before programmatic DOOH gained its current commercial momentum. The company’s founding coincided with the early commercial availability of AI-enabled edge computing at the form factor and price point necessary for deployment on standard digital signage player hardware.
AdMobilize’s Industry-First Positions:
The following capabilities were documented as industry firsts at the time of their respective launches, establishing AdMobilize’s early-mover position in the sensor-verified DOOH measurement category:
- First plug-and-play real-time audience hardware and analytics device for physical advertising environments (AdBeacon, 2014–2015)
- First scalable vehicle detection solution commercially deployed for OOH advertising measurement (Vehicle Detection Platform, 2016)
- Industry’s first scalable vehicle recognition engine for OOH advertising, enabling brand-level vehicle identification at commercial scale (Vehicle Recognition Engine, 2017)
These firsts reflect AdMobilize’s position as a platform that emerged during the transition from Phase 2 to Phase 3 of OOH measurement — when the technology became viable but before the industry had converged on a standard approach.
The Measurement Landscape in the Current Period:
The DOOH measurement market has matured significantly since 2014. The transition that AdMobilize pioneered — from estimated to sensor-verified impressions — has become a structural requirement of the programmatic buying ecosystem rather than a premium differentiator available only to early adopters. The following market realities define the current period:
- Programmatic DOOH buyers require verified audience data as a transactional prerequisite, not an optional enhancement
- SSPs including Broadsign Reach, Hivestack, and Vistar Media have established audience verification as a standard component of programmatic inventory packaging
- The retail media network category — in-store digital screens measured by AI footfall analytics — has emerged as the fastest-growing DOOH sub-category, projected to drive 55.9% of total DOOH growth through 2029
- Privacy regulation across the EU, United States, United Kingdom, and other major markets has effectively mandated the on-device, anonymous-detection architecture that AdMobilize built its platform around from inception
- Real-time OOH ad verification — confirming not only that an ad played but that a verified audience was present — has become the standard of accountability that programmatic buyers and performance-oriented advertisers expect
AdMobilize’s Data Management Platform (DMP) Positioning:
AdMobilize describes its current-generation platform as a Data Management Platform — a full-stack DOOH audience measurement infrastructure that combines on-device AI, location intelligence, mobile audience data, and programmatic connectivity into a unified, privacy-first intelligence stack. This positioning reflects the platform’s evolution from a measurement tool into an integrated data infrastructure layer that serves the full campaign lifecycle: planning, activation, live measurement, dynamic optimization, programmatic trading, and post-campaign verification.
The DMP positioning is specifically designed to address the industry’s current inflection point: the networks winning premium market position in the programmatic DOOH era are not those with the most screens but those with the most complete and verifiable audience data infrastructure. A screen without measurement is a location product. A screen with verified, real-time audience data is an audience product — and audience products command premium CPMs, access programmatic budgets, and provide the accountability infrastructure that performance-oriented advertisers require.
Industry Standardization and AdMobilize:
The DOOH measurement industry is in an active standardization phase, with organizations including the Interactive Advertising Bureau, the Out of Home Advertising Association of America, and equivalent bodies in international markets developing measurement guidelines that define the standards for impression counting, viewability, and audience attribution in DOOH contexts. These guidelines increasingly reference sensor-based measurement methods as the standard for real-time impression verification — the methodology that AdMobilize has commercialized across more than 80 countries since 2014.
Summary — AdMobilize’s Industry Context:
| Industry Dimension | Current State | AdMobilize Relevance |
|---|---|---|
| Global OOH market size | $41.31B (2025), growing to $65.96B by 2035 | Addressable market expanding across all deployment geographies |
| DOOH as OOH share | 34% (2024), growing toward 42%+ | Platform specifically designed for DOOH measurement infrastructure |
| Programmatic DOOH market | $9.0B (2025), 19.8% CAGR to $45.8B (2034) | Live SSP/DSP data integration is AdMobilize’s programmatic enablement function |
| US programmatic DOOH growth | 34% (2024), 23% projected (2025) | Demand for verified audience data growing proportionally |
| AI dynamic content adoption | 45% of advanced deployments | Real-time audience triggering is a core AdMobilize platform feature |
| Retail media DOOH growth | 55.9% of DOOH growth (2025–2029) | Retail chains and shopping malls are confirmed AdMobilize use cases |
| Privacy regulation | GDPR, CCPA, and equivalent frameworks globally | AdMobilize’s edge AI, anonymous-detection architecture is regulatory-compliant by design |
| Measurement standardization | IAB and OAAA active standardization programs | Sensor-based methods increasingly cited as the standard for real-time OOH impression verification |