In-Store Shopper Intelligence

Turn in-store behavior into measurable retail media growth.

Footprints AI measures how shoppers move, dwell, engage with media and convert in physical stores, so retailers can monetize store traffic and advertisers can prove what campaigns changed in baskets.

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Build an In-Store Media

Validated visits

Real shopper presence, filtered from passersby, staff, short pings and noise

Movement & dwell

Paths, zones, visit duration, engagement quality and traffic highpoints.

Behavioral audiences

Segments built from physical shopping behavior, frequency and engagement.

Sales attribution

Exposure connected to basket, SKU and campaign outcomes.

In-store measurement

Turn in-store behavior into measurable retail media growth.

Footprints AI measures how shoppers move, dwell, engage with media and convert in physical stores, so retailers can monetize store traffic and advertisers can prove what campaigns changed in baskets.

1

Plan Audience

Target shoppers by real purchase behavior, not assumptions.

2

Shopper movement

Map dwell, zones, cross-shopping, visitor flows and common paths.

3

Behavioral audiences

Create usable audience segments from real in-store behavior.

4

Media impact

Measure exposure, basket incidence and sales uplift from in-store campaigns.

EXPLORE THE CAPABILITY
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Overview

Retail analytics built for the moments that make shoppers stay, move, engage and buy

The platform starts with anonymous in-store signals, validates real visits, maps movement and dwell, builds behavior-based audiences, and connects media exposure to measurable basket and SKU outcomes.

1

Capture

Collect anonymous visit behavior from the retail environment.

2

Validate

Filter out passersby, staff, random probes and short visits.

3

Map

Measure zones, paths, dwell and engagement quality.

4

Segment

Group shoppers by frequency, duration, behavior and return visits.

5

Attribute

Connect exposure to baskets, SKUs and sales impact.

Visit intelligence

Understand traffic quality, attention windows and engagement depth

These metrics show whether a location is simply receiving traffic or creating buying conditions: enough visitors, enough dwell time, strong engagement and clear moments for media activation.

Retarget Shoppers

Validated shopper presence

Counts visits only after validation rules are met, excluding passersby, staff, demo devices, random probes and short pings.

Visit Pattern

When shoppers come

Groups visits by hour and day, highlighting peaks, troughs and changes against weekly or monthly benchmarks.

Average Visit Duration

How long visits last

Measures non-bounced visit duration from first to last detection, showing whether shoppers browse deeply or shop quickly.

Dwell Time Segmentation

Quality of engagement

Breaks visits into duration bands, revealing destination areas, transit zones and higher spending potential.

Visit Duration vs Weather

Context behind behavior

Matches visit duration to weather conditions so retailers can anticipate demand shifts and activate relevant experiences.

Average Bounce Rate

Lost opportunity

Shows the share of visits that end quickly, helping identify weak attraction zones, friction points or operational issues.

Engaged vs Passive Visits

Depth of conversion

Separates meaningful stays from short, low-interaction visits to show whether the location functions as a destination.

Traffic Highpoints

Golden hours

Identifies the busiest moments for staffing, promotions, events and in-store media delivery.

Wi-Fi Sessions

Digital reach inside store

Shows how many validated visitors connect to Wi-Fi, revealing the gap between physical presence and digital engagement.

Movement analytics

Map the store journeys that create media value

These metrics show where attention concentrates, which zones feed each other, how shoppers move between missions, and where physical presence becomes meaningful engagement.

Areas of Interest

Heatmap view of zones that attract the most visits and dwell, useful for placement, merchandising, leasing and media inventory.

Cross-Shopping Analysis

Shows how many shoppers visit more than one area, store or floor in the same trip, revealing category and tenant synergies.

Visitor Flow Analysis

Maps the sequence of stops during a visit, showing how shoppers move from one area to the next.

Common Path Analysis

Highlights the most frequently travelled routes and dominant corridors inside the mall or store.

Conversion Funnel

Breaks traffic into bounced, inside, leisure, engaged, passive and converted visitors to reveal where shoppers are won or lost.

Platform view

A visual layer for paths, zones and movement

See how shopper paths, zone activity and movement signals can be visualized inside the platform experience.

In-store tracking demo

Behavioral segmentation

Build behavioral audiences from what shoppers actually do

The strongest in-store audiences come from observed behavior: how often people visit, how many areas they explore, how long they stay and whether they return.

Low Frequency Explorers

Visited fewer areas and stayed shorter than average. Useful for acquisition and first-contact experiences.

High Potential Visitors

Visited fewer areas but stayed longer than average. Useful for conversion and targeted engagement.

Regulars

Visited more areas but stayed shorter than average. Useful for convenience, frequency and repeat-use strategies.

Loyal Visitors

growth. Visited more areas and stayed longer than average. Useful for retention, premium offers and cross-category

New Visitors

Devices detected for the first time in the lookback window, indicating acquisition or campaign pull.

Returning Visitors

Recognized pseudonymous visitors from previous visits, indicating stickiness and destination strength.

Behavioral segmentation

Turn store behavior into targetable media audiences and measurable campaigns

The strongest in-store audiences come from observed behavior: how often people visit, how many areas they explore, how long they stay and whether they return.

Target

Build audiences from location, engagement, frequency, journey and return behavior.

Expose

Measure reach, frequency, overlap and context across in-store media zones.

Attribute

Connect exposure to basket incidence, SKU impact, incremental sales and category outcomes.

In-Store Shopper Intelligence

Monetize store traffic.
Prove brand sales impact.

Retailers turn physical traffic, shopper zones and behavioral audiences into a measurable media network. Advertisers activate campaigns in stores where Footprints AI is live and see the impact in baskets, SKUs and sales uplift.

For retailers

Activate in-store retail media with AI-powered analytics, personalization, audience packaging and closed-loop measurement.

BUILD YOUR IN-STORE MEDIA NETWORK

For advertisers

Launch campaigns in stores where Footprints AI is active, target real shopper behavior and measure exposure-to-sales outcomes.

LAUNCH AN IN-STORE CAMPAIGN
Wiedza
Studia przypadków mediów detalicznychPrzewodnik po retail mediaAkademia Mediów HandlowychWebinaria internetowe poświęcone retail mediaSzczyt mediów detalicznych
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