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Your campaign reached millions. Did any of them walk in?

Retail campaigns need proof that ads drove retail visits. The Footfall Beat product connects deterministically measured cross-media exposure to real store visits,  at the person level - on the same panel that measures your cross-media reach and brand lift outcomes.

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The Challenge

Most store footfall attribution runs on unreliable data.

Most footfall attribution stacks unverified location data on modelled assumptions the buyer never sees.

Unreliable location signals

It relies on location signals from ad-exchange bid requests, and much of that bidstream data has been inaccurate or fabricated for years.

Built-in selection bias

When exposure and outcome come from the same closed loop, selection bias is built in — no later match to retail-visit data can undo a skew present from the start.

Assumption on assumption

Unverified location data matched to modelled exposure — an assumption built on an assumption.

The Solution

Cross-Media to Retail Footfall Attribution Measurement

Same people who saw the ad. Same people who walked in. No probabilistic matching.

Footfall Beat works because Beatgrid's panel already knows — at person level, deterministically — which ads each panellist was exposed to and on which channels. Validated location signals sit on top of the same panel, comparing incremental store visits among exposed audiences versus a matched unexposed control drawn from the same measurement.


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What you measure

Exposure-to-Outcome Measurement

Understand how media drives behaviour.

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Which audiences visited stores

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Which channels drove the visits

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The incremental impact of advertising

Participants contribute exposure data passively across multiple media environments, enabling holistic measurement at scale.

True Single-Source Solution

One view. Every channel. No modelling.

 ReachBeat uses Beatgrid’s single-source panel to capture actual exposure across CTV, BVOD, Linear TV, YouTube, Audio, and OOH simultaneously.

No 3rd-party data integration. 

Cross-channel deduplication is automatic — because the same people are measured everywhere. The output: a single unified view of true reach and frequency, observed, not modelled — and independently validated against YouTube, Amazon, and Netflix benchmarks. 

Learn more
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Methodology

How Footfall Beat attributes store visits across every channel

Attributing a store visit to advertising requires knowing what each visitor was actually exposed to — and where they actually went. Footfall Beat uses Beatgrid’s single-source panel to observe cross-media exposure and store visitation on the same person, deterministically.

Footfall you can act on starts with observed exposure and observed visits — not modelled inference.

Learn about our 1st-party location data
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Single-source panel design

Single-source panel-based measurement of campaign impact on retail footfall by combining mobile passive ACR and geocensing technology in our panel apps.

Person-level
Person-level exposure detection

Smartphone ACR detects exposure passively on each panellist across every screen. Modelling bias eliminated.

location
Deterministic location + incremental visits

Multi-signal geolocation tracking with 1- 5 m accuracy.  The technology leverages multiple sensors such as GPS, WIFI, beacons, and cell towers.

 

Methodology

How Footfall Beat attributes store visits across every channel

Attributing a store visit to advertising requires knowing what each visitor was actually exposed to — and where they actually went. Footfall Beat uses Beatgrid’s single-source panel to observe cross-media exposure and store visitation on the same person, deterministically.

Footfall you can act on starts with observed exposure and observed visits — not modelled inference.

Learn about our 1st-party location data
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Single-source panel design

Single-source panel-based measurement of campaign impact on retail footfall by combining mobile passive ACR and geocensing technology in our panel apps.

person-level exposure
Person-level exposure detection

Smartphone ACR detects exposure passively on each panellist across every screen. Modelling bias eliminated.

Deterministic location-1
Deterministic location + incremental visits

Multi-signal geolocation tracking with 1- 5 m accuracy.  The technology leverages multiple sensors such as GPS, WIFI, beacons, and cell towers.

 

Methodology

How Footfall Beat attributes store visits across every channel

Attributing a store visit to advertising requires knowing what each visitor was actually exposed to — and where they actually went. Footfall Beat uses Beatgrid’s single-source panel to observe cross-media exposure and store visitation on the same person, deterministically.

Footfall you can act on starts with observed exposure and observed visits — not modelled inference.

Learn about our 1st-party location data
10
Single-source panel design

Single-source panel-based measurement of campaign impact on retail footfall by combining mobile passive ACR and geocensing technology in our panel apps.

person-level exposure
Person-level exposure detection

Smartphone ACR detects exposure passively on each panellist across every screen. Modelling bias eliminated.

Deterministic location-1
Deterministic location + incremental visits

Multi-signal geolocation tracking with 1- 5 m accuracy.  The technology leverages multiple sensors such as GPS, WIFI, beacons, and cell towers.

 

Use Cases

What you can measure

retail visitation lift

Campaign-driven retail footfall

Competitor store visitation benchmarking vs competitors and your historical baselines.
Channel contribution

Cost per incremental visitor

The per-channel efficiency metric planning teams can act on.



Creative

Creative effectiveness

Identify ads that influence behaviour.

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Incremental outcomes

Separate organic visits from ad-driven visits by channel.

What changes for each role

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Retail media buyer / QSR media planner

Per-channel incremental visit counts and cost per incremental visitor. Channels that didn't drive visits become identifiable, not assumed-effective.


marketing

Marketing / media analytics director

Bayesian priors from observed visitation, not bidstream estimates. Your MMM, attribution stack, and AI planning tools calibrate against ground truth your team can defend.

network lift

CPG partner (retail media network)

Third-party validated proof that the retailer's media drove incremental visits, not the retailer's own claim or a probabilistic model.

Show me what changes for my team
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The 3-step plan

  • The specified locations of all your stores, and optionally competitors' stores, are geo-fenced by geo-coordinates. All ad creatives are encoded, so they can also be tracked.
  • A location”check’-in” occurs when an app user enters a virtual fence, satisfying configured conditions like direction, speed, or dwell time.
  • You get per-channel incremental visit counts, cost per incremental visitor, and Bayesian priors your models and AI tools can trust.

Case study: Kmart

With Beatgrid, Kmart turned cross-media measurement into proof of in-store outcomes—validating which channels drove unique reach, real brand lift, and actual store visits across linear TV, BVOD and YouTube. Using a single-source, ACR-powered panel measuring the same person, Kmart, UM and Kinesso replaced three siloed, self-reported datasets with one deterministic view—tying ad exposure directly to footfall across 296 stores. The result: 105K incremental store visits per week, proven by deterministic data, not assumptions.

Read the Kmart case study

Award-winning case study

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Kmart

What changes

Your footfall attribution stops being a black box. Your retail media planning defends itself with per-channel incremental visits. Your CPG partners see third-party validated proof, not retailer-claimed metrics. And when the next planning round starts, you already know which channels earn more budget.

Book a Footfall Beat demo

Frequently asked questions

What is Footfall Beat?

Footfall Beat is Beatgrid's cross-media footfall attribution product. It connects passively verified ad exposure to real store visits — measured at person level across CTV, Linear TV, BVOD, YouTube, Audio, and OOH, on Beatgrid's single-source panel.

Which retail categories does Footfall Beat measure?

Supermarket, DIY, QSR (quick-service restaurants), automotive, cinema, and general retail. Any advertiser whose success depends on customers visiting a physical location.

How is Footfall Beat different from bidstream-based footfall?

Bidstream-based footfall relies on location signals harvested from ad exchanges — data the industry acknowledges has significant accuracy problems. Footfall Beat measures exposure and store visits on the same verified panel. No probabilistic matching, no unverified lat-long.

How is Footfall Beat different from platform-provided footfall studies?

Platform-provided studies use platform-defined exposure and platform-defined visits — the platform grades its own homework. Footfall Beat uses independent panel-based exposure detection and independent visit tracking. The exposed group and visit definition are both third-party verified.

How do you measure incremental store visits?

The panel detects which ads each panellist was exposed to across every channel. Validated location signals track store visits by the same panellists. Incrementality compares exposed panellists vs matched unexposed controls, matched on demographics, media consumption, and geographic proximity.

What is the attribution window?

Customisable per campaign. Typical windows are 7-30 days for supermarket and DIY, 24-72 hours for QSR. Set on the scoping call based on category and typical customer visit cadence.

How accurate is the location tracking?

Multi-signal geolocation (GPS, WiFi, beacon, cell-tower triangulation) with typical 1-5m accuracy. Custom geofence radius applied per store type and size.

What is a valid store visit?

A visit is counted when a panellist enters the geofence and remains above a dwell-time threshold — typically 2-5 minutes depending on category. This distinguishes deliberate visits from transit-through. Repeat visits within the attribution window are deduplicated.

How does Footfall Beat handle iOS background location limits?

iOS restricts background location access to preserve battery. Panel design and consent workflow maintain reliable detection within iOS constraints. iOS coverage is inherently less complete than Android; the limitation is acknowledged and reflected in confidence reporting.

Can Footfall Beat measure store-level attribution?

Yes, where the panellist base in the store's catchment area supports statistical significance. Chain-level attribution is standard; individual-store attribution is available for high-traffic retailers and dense panel markets.

Can Footfall Beat data feed retail media network reporting?

Yes. Outputs are structured for retail media network CPG partner reporting, MMM priors, and AI-driven planning calibration. Delivery is privacy-safe and clean-room-native — no raw data movement, no PII exchange.

Why is there only one published case study?

Footfall Beat is our newer product and the client pipeline is growing. Coles is the published proof point; more will be published as clients approve. We're transparent about where we are in the proof base.