StreetMetrics measures out-of-home with a unified, real-world methodology built on real mobility data, physics-based viewsheds, and a continuous feedback loop that makes every campaign smarter than the last.
Most OOH impression counts are built from two fundamentally different datasets: static traffic averages for planning and mobile device data for measurement. When the campaign closes, the numbers don't match, not because something went wrong, but because they were never measuring the same thing to begin with.
This inconsistency is the single biggest barrier to OOH being treated like a data-driven channel. StreetMetrics was built to solve it.
Every StreetMetrics measurement starts with the same foundation: real device movement data, sourced from the same mobility signals across every phase of a campaign.
This is what we call the Data Flywheel. Every campaign makes the next one more accurate.
Most OOH audience segments are built from rough proximity, a radius around an ad location or census-level demographic overlays. That means the exposure data underlying those audiences counts people who couldn't see the ad and misses people who could.
StreetMetrics starts at the source. We generate a Display Exposure Zone (DEZ) for every piece of inventory, a physics-based polygon calculated from the unit's physical dimensions, height, azimuth (facing), and visual acuity thresholds. If a device wasn't in a position where a human eye could resolve the creative, it doesn't count.
The DEZ is a cone calculated from the unit's height, width, and azimuth, oriented toward the facing direction and bounded by the maximum distance at which the creative is visually resolvable.
Moving assets use Dynamic Route Reconstruction. We follow the vehicle via GPS telemetry and GTFS-RT feeds, generating a continuous "moving viewshed" that follows the asset through space and time. A bus wrap's exposure zone changes every block, and we track all of it.
Digital units require Ad Play Log verification, timestamped confirmation that the ad was actually displayed on the screen before any impression is counted. We do not assume a device in a digital unit's zone was exposed to your ad if the ad wasn't running.
StreetMetrics delivers campaign metrics on an 8-day delay with daily refresh, not month-end summaries, not static post-campaign PDFs. You see delivery data as it happens, with hour-of-day granularity across markets and formats.
This means discrepancies are visible during a flight, not after it. Billing reconciliation happens against current data. And clients don't wait until the campaign ends to see whether it delivered.
StreetMetrics demographic data isn't a separate dataset added after the fact. 150+ audience segments (125 behavioral plus standard demographic cuts), powered by Accretive, are applied at the device level using the same mobility signals that produce impression counts. That means your demographic reporting is methodologically consistent with your impression reporting.
You're not reconciling two different numbers. You're reading two dimensions of the same data.
StreetMetrics processes all device data using hashed, privacy-compliant identifiers. We do not store or transmit personally identifiable information. Our Diffusion Layer, a statistical signal-smoothing architecture, enables the system to maintain accurate exposure counts even as individual device resolution decreases due to privacy regulation changes.
Measurement integrity doesn't depend on any single data provider or identifier regime.
StreetMetrics makes our methodology available to clients, agency partners, auditors, and industry bodies. We show our work, including our assumptions, our validation processes, and our current-state vs. future-state roadmap.
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