Impressions & Audiences

Measuring OOH is Complicated. We Make it Trustworthy.

In 2017, we built the first measurement product for Moving OOH to fill a gap in the industry. Now we measure everything from taxi toppers to retail media networks (RMN). Reveal helps the OOH ecosystem quantify and transact with confidence.

Aerial view of city intersection with moving OOH advertising vehicles including a taxi, delivery van, LED truck, and transit bus

The Modern Impressions Stack for OOH

Purpose-Built for Complex OOH

Our impressions methodology generalizes to all forms of OOH - we measure it all.

Moving OOH - Taxi toppers, wrapped vehicles, LED trucks
Transit - City buses, double-deckers, trains
Micro-mobility - Delivery robots, bikes, scooters
Retail Media - Storefront, in-store

Unmatched Granularity

Because our impressions are derived from actualized exposures, we provide specific ad-roll and waypoint-level impressions, as well as granular crosstabs (aggregates) on geo (market, region, zip) and time (day of week, hour).

OOH Impressions by Market
Top DMAs

Verified and Trusted

Reveal is trusted by the largest moving OOH providers in the space, and our metrics enable media transactions on the largest programmatic OOH platforms.

Trusted by the leading OOH platforms & media owners

VistarPlace ExchangeIntersectionFireflyVector MediaTVMSomo
VistarPlace ExchangeIntersectionFireflyVector MediaTVMSomo
VistarPlace ExchangeIntersectionFireflyVector MediaTVMSomo
VistarPlace ExchangeIntersectionFireflyVector MediaTVMSomo

How Measurement Works

Step 1

Ingest Inventory, Ad Rolls, and Waypoints

Reveal onboards inventory, consumes precise digital ad rolls, ingests moving OOH waypoints from hundreds of sources to obtain the most accurate representation of when and where OOH media was visible.

Step 2

Compute Mobile Exposure

OOH source information, often numbering in the millions of rows, are joined to trillions of mobile location data points through a hyperefficient geospatial datastore. Following MRC guidelines, each asset has a unique viewshed derived from its characteristics. Exposure is refined by taking into account dwell, angular size, and other factors.

Step 3

Population Projection

Device-level exposures are upsampled to population numbers using statistical techniques and machine learning to obtain impressions and reach.

Step 4

Deliver Metrics

Metrics are delivered through bulk delivery feeds, or by integrating with our APIs.

Case Study

Want to learn more? Download our case study

Whether you're the operator of a dynamic fleet, a buyer looking for dynamic fleet measurement, or a brand interested in learning more about moving out-of-home as a media channel, we can help. Download our OAAA MOOH Case Study to see how moving out-of-home performs across various verticals and outcomes.

Fleet of advertising vans with orange display panels parked at a depot with city skyline