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DOOH Performance Measurement

Compare reach and exposure across DOOH sites.

Measure circulation, reach, and exposure in one workflow. P2ACH AI selects Vision AI or Wi-Fi for the site and keeps metric definitions visible in every report. Where camera views allow, add viewing and dwell signals.

Request a DOOH Performance Measurement demo

Start with one site to see which reach, exposure, and reporting views it can support.

Busy urban intersection with pedestrian and vehicle circulation
We design the measurement scope around each site, media position, and operating environment.
  • Audience circulation
  • Reach & exposure
  • Viewing & dwell
  • Site comparisons

Give buyers a clear basis for comparing DOOH sites

Choose a pricing, site-comparison, or campaign-reporting question. Define each metric and measurement condition before comparing results.

Audience

Show when and where the audience is present

Compare traffic by location and period, then define the circulation and exposure metrics needed for the media decision.

Delivery

Explain the path from circulation to exposure

Use media position, sensing coverage, and site definitions to separate nearby traffic from the agreed exposure signal.

Reporting

Compare sites with one set of definitions

Give sales and operations the same dashboard view, reporting output, and interpretation rules.

Plan measurement around your media decision

Match the site, measurement method, and report to the decision you need to make.

  1. 01

    Scope the medium and audience question

    Review location, media geometry, operating hours, traffic patterns, and the decisions the data must support.

  2. 02

    Design sensing and metric definitions

    Select an appropriate Vision AI or Wi-Fi configuration and document how each reported metric is calculated.

  3. 03

    Build the site reporting plan

    Compare results with a site-specific baseline, then define the reporting format and conditions for expansion.

On-device Vision AI for DOOH measurement

For camera measurement, on-device Vision AI detects and tracks people and estimates viewing or dwell signals. We convert the signals into the agreed traffic, reach, and exposure metrics. We define transmission, retention, and access separately for Vision AI and any Wi-Fi data.

  • Models are configured to the field of view, media geometry, traffic pattern, and reporting definition for each site.

  • Video, derived images, events, and aggregate metrics are separated in the documented data flow.

  • Where video export requires masking, it follows a separate review and approval workflow from audience measurement.

Review metric definitions and reports

The demo connects each reporting view to its metric definition and measurement method.

  • Circulation, reach, and exposure metric definitions

  • Site, period, and media comparison views

  • Vision AI and WiFi coverage assumptions by environment

  • Viewing and dwell signals where camera coverage supports them

Technical overview

Underlying Vision AI technology

Environment
Published technology overview
Analysis
Detection, tracking, and test introduction
Application
Review sensing principles and validation scope
Read source
AI AGENT

Define the questions an AI Agent should answer

The AI Agent is a separate solution that requires agreed data connections. It analyzes authorized data, summarizes results, exports CSV files, and recommends actions. Your team reviews the recommendations and carries them out.

Questions using connected data

  • Compare circulation, reach, and exposure by site over the last four weeks.

  • Which sites and time bands changed the most, and which measurement conditions should we check?

  • If proof-of-play records are connected, separate them from reach and exposure in an advertiser summary.

Answers use only connected data within your account and workspace permissions. Each answer shows the period, filters, and metrics and distinguishes observations from interpretation.

Concept illustration of connected data, access controls, and AI analysis
Concept illustration.

Questions to settle before DOOH measurement

Do all sites need both Vision AI and Wi-Fi?

Vision AI and Wi-Fi serve different measurement needs. We select the method based on field of view, coverage, traffic speed, installation constraints, and the target metric.

How do you address Wi-Fi sample bias?

Wi-Fi signals are treated as a sample rather than a universal census. Site review documents the sampling assumptions, coverage, calibration, and comparison baseline.

Can these metrics support CPM and media pricing?

Circulation, reach, and exposure can inform a commercial measurement model. Before using them for CPM, the network defines its denominator, calibration, coverage, and reporting rules.

Start with one DOOH site and one reporting question

Review the site, suitable measurement method, metric definitions, and reporting plan in a demo.

Request a DOOH Performance Measurement demo

After the demo, we summarize the suitable method and next site-review step.