Retail Media Measurement

Go beyond proof-of-play records. Measure 4 in-store media signals.

Connect campaign and creative IDs to audience, dwell, and conditional attention signals. Compare screens, stores, and periods across dashboards, reports, and CSV exports.

Request a retail media measurement demo

See how one campaign and selected screens translate into measurable signals and advertiser reports.

Concept illustration of in-store screens and anonymous shopper movement signals — A conceptual view of connecting media positions, shopper movement, and measurement signals in one store.

Audience
Dwell
Attention
Campaign reporting

Give advertisers and operators one measurement language

Tie campaign, creative, screen, location, and period to the same metric definitions, so buyers and operators compare like with like.

Campaign

Compare campaign delivery

Review campaign, creative, screen, location, and period dimensions beyond proof-of-play records alone.

Audience

Explain what happened around the screen

Use agreed audience, dwell, and conditional attention definitions at each measured media position.

Reporting

Build repeatable advertiser reports

Apply the definitions validated for the selected stores to dashboards, reports, and CSV exports.

Start with one campaign question

Start with the advertiser question, then connect the sensing, metrics, and reporting needed to answer it.

01
Map the campaign workflow
Review stores, media positions, content and campaign identifiers, reporting cadence, and the question advertisers ask.
02
Define audience and media metrics
Define the audience, dwell, attention, and comparison metrics supported by the selected environment.
03
Build the reporting workflow
Review selected locations and dashboard or export outputs, then define the conditions for expansion.

On-device Vision AI for retail media

Task-specific Vision AI models analyze camera input on a device in the store, infer audience, dwell, and attention signals, and convert them into campaign-ready metrics. Processing, transmission, retention, and access are defined for the selected camera, integration, and security design.

Person detection and tracking, dwell, and attention inference run on the in-store device for supported configurations.
Dashboard metrics are separated from any images or events retained under the agreed design.
Where video export requires masking, it follows a separate review and approval workflow from media measurement.
POS or sales-data connections use a separately agreed data scope and access model.

See what advertisers receive

The demo connects each reporting output to its audience and campaign definition.

Campaign, media, content, location, and period comparisons
Audience, dwell, attention, and traffic views where applicable
Dashboard, CSV, and report workflows
Comparison baselines and reusable reporting definitions

AI AGENT Preview · supported environments

Ask an AI Agent about campaign performance

In Preview, connect P2ACH Analytics to a supported AI Agent environment approved by your organization to query campaign, media position, store, period, exposure, attention, and dwell data in natural language.

Example questions

Compare last week’s exposure, attention, and dwell by campaign, store, and screen.
Which campaigns or media positions changed most, and which conditions should we verify?
Prepare an advertiser-ready summary and CSV using the same period, filters, and metrics.

The AI Agent follows the user’s Analytics account and workspace permissions. Answers show the period, filters, and metrics used and separate observed results from interpretation. The current scope is query, summary, and export; it does not change external systems.

Concept illustration showing authorized data flowing through an access boundary to an AI reasoning layer and evidence-backed answers — Concept illustration of permission-scoped data and evidence-backed answers

Questions retail media teams usually ask

Does this prove that an ad caused a sale?

The core product measures media and audience performance. Sales attribution is a separate scope that requires sales-data integration, a data design, and a defined causal interpretation.

Can we use existing CCTV cameras?

Existing CCTV may be used when stream access, codec, resolution, position, angle, coverage, compute, and security requirements are compatible.

How do we set success criteria?

Use the business question to define the required data, metric quality, operating stability, and report usability before the pre-deployment validation begins.

Start with one campaign and one advertiser question

The demo maps the selected screens, measurable signals, reporting outputs, and next store-review plan.