Overview
Turn Your Retail Network into a Full-Scale Retail Media Business – In-Store and Online
Today’s most valuable real estate isn’t just physical.
It’s media space — and your retail stores are the next media platform.
Footprints AI empowers retailers to transform stores, websites, mobile apps, and shopper data into a retail media powerhouse — ready to serve advertisers, brands, and agencies across in-store and online environments.
Inside this guide, you’ll learn how Footprints AI allows your retail network to:
- Offer fully operational, data-driven retail media services
- Build addressable, omnichannel audiences for advertising
- Activate targeted campaigns across screens, sites, and apps
- Deliver real-time contextual messaging
- Prove campaign impact with full-funnel sales attribution
- Predict shopper behavior and future sales
The Footprints AI Advantage
As a retailer, you control the audience, the inventory, and the outcomes.
Brands want it. Agencies need it.
Footprints AI enables you to monetize it — predictably and transparently — across every screen, site, and shelf.
Campaigns
Turn Your Retail Network into a Full-Scale Retail Media Business – In-Store and Online
Audience Reach Planner
Build audiences from real shopping. See reach before you spend.
Use sales and shopper insights to define who you want to reach - by category, brand, basket behavior, and shopping missions. Then preview unique shoppers and their profiles before using in your targeting.
Create Campaign - Plan
Define the campaign plan. Control where, when, and who.
Choose the campaign recipe. Set dates, budget, and pacing. Then apply SKU-, store-, and audience-level rules across in-store and online. Include A/B testing & Control Group capabilities at store level.
Create Campaign - Creatives
Build creatives fast. Publish everywhere, instantly.
Create images, animations, and video in Creative Studio or upload your own. Formats and specs are applied per channel, automatically. Publish once across in-store and online.
Create Campaign - Targeting
Make targeting conditional. Let the store decide.
Trigger delivery using live and predictive signals: product availability, weather, sales forecast, and predicted shopper behavior. Rules can adapt by store & its surroundings, so ads run only when conditions are right.
Campaign Reporting - Media Metrics
Proof of delivery, built in. Clear numbers. Full control.
Track impressions, reach, actions and audience insights across in-store and online. Break results down by store, device, channel and placement, with export-ready reports for audit and billing.
Campaign Reporting - Sales Metrics
Prove what changed. Down to SKU and store.
Measure sales uplift vs baseline & forecasts and track impact by SKU, category, and store group. See basket shifts, new-to-brand signals, and attribution, so brands can optimize spend and get incremental impact.
Audiences
Monetize and Expand Your Addressable Retail Media Inventory
Saved Audiences
Build audiences from sales signals. Activate them across in-store and online.
Create and use campaign audiences based on what people buy, who they are, their household structure and how they shop, not cookies. Standardize targeting for every channel, with instant sizing and delivery rules.
Lookalike Audiences
Clone your best buyers. Scale reach without losing precision.
Start from a seed audience (buyers, high-value shoppers, mission shoppers, or converters). Footprints AI finds statistically similar shoppers using sales, basket, and in-store behavior signals.
Predictive Audiences
Target who’s most likely to buy next. Act before the decision is made.
Build audiences from Propensity-to-Buy and Propensity-to-Visit predictions at shopper and store level. Activate them with dynamic rules: traffic forecast, weather, product availability, and store conditions.
Shopper Data & Identity
Identity that makes retail ads measurable. One shopper profile, in-store & online.
Connect fragmented identifiers into one shopper record, enriched with baskets, category habits, and visits. Use it for predictive targeting, omnichannel frequency control, and SKU-level uplift, store by store.
Sales & Shopper Insights
Shopper Profiles
Know who buys. Built from baskets, visits, and missions.
A clear snapshot of shopper behavior: what they buy, how often they return, and what drives the trip. Break down by store, city, daypart, and category to plan smarter audiences and measure impact.
Basket Insights
See what people buy together. Find the products that drive the basket.
Break down basket composition by brand and SKU: share of basket, average spend and repeat frequency. Identify your high-value baskets, the SKUs that drive them, and where you win or lose, store by store.
Basket Incidence
Know your true penetration. How often you make the basket.
Track how frequently your brand or SKU appears in baskets. Compare incidence vs category benchmarks to spot where you’re under-indexing, then target the shoppers and moments that lift penetration.
Predictive Basket Mix
Predict how SKUs move together. Plan the next basket mix.
Model SKU-to-SKU influence: which items act as anchors, which follow, and which get displaced. Use it to choose the right SKU combinations for targeting and promos.
Sales Performance
See what sold, where, and why. Down to SKU and store.
Track sales by brand and SKU across stores: value, units, growth, and share. Spot the stores, dayparts, and missions driving performance, and use the drivers to plan smarter and attribute retail media impact.
Loyalty Segments (RFM)
Know who buys you most. And who you’re losing.
Segment shoppers by Recency, Frequency, and Monetary value to see loyalty at brand and SKU level. Find Champions, Loyal, New, At-Risk, and Lapsed shoppers. Then target each group with the right offer, timing, and channel to increase repeat and basket value.
Customer Satisfaction (NPS)
Measure experience, not assumptions. Fix what blocks repeat sales.
Track NPS by store, location group, and time to see where satisfaction drops and why. Link feedback to what shoppers did. Then activate recovery messages and loyalty incentives to protect retention.
In-Store Measurement
Live In-Store Shoppers
See who is in the store, right now. Trigger media by real presence.
Live view of in-store audience presence & behavior by store and zone. Use it to prove ad exposure, sales conversions, control delivery by store, device, and time, and react instantly when traffic spikes or drops.
In-Store Shopper Profiles
Know who shops each store. Plan targeting with real behavior.
Store-by-store view of who visits, how often, their missions, category habits, and purchase signals. Turn this into precise in-store targeting and smarter incentives, based on what actually happens in that location.
In-Store Shopper Behaviors
Know what happens before the checkout. Turn behavior into retail media proof.
See where shoppers go, where they stop, and how long they stay—by store, zone, and hour. Use it to choose the right placements, set frequency with confidence, and prove real shopper presence, not just ad plays.
In-Store Traffic Flow
See where shoppers actually move. Turn paths into better media decisions.
Understand how traffic flows between store areas, what zones shoppers visit, in what order, and at what times. Use it to place ads where attention happens, bundle zones into premium placements, and connect exposure to the path-to-purchase. Store by store.
In-Store Traffic Forecast
Predict store traffic before it happens. Plan campaigns. Protect performance.
Forecast expected shopper volume by store, day, and hour. Use it to schedule campaigns into peak moments, avoid wasted impressions in low-traffic windows, and keep delivery stable when traffic shifts.
In-Store Behavioral Segments
See store engagement, not just traffic. Target incentives by visit quality.
It shows which stores attract quick passers, deep browsers, and repeat loyalists, so you can choose the right in-store message, set the right pressure, and prove impact beyond “impressions played.”
Store Catchment Insights
Know who lives around each store. Predict what they want next.
Maps each store’s catchment into a real buyer universe (size, life stages, and local demand signals) so targeting and offers stay store-by-store, inside the trade area.
Leads
Leads Management
Turn lead ads into real demand. Manage, qualify, and convert on-platform.
Collect every lead from Generate Leads campaigns in one place. Engage via video, audio, or text, then automate follow-ups and qualification. Convert on-platform, or sync to the brand’s CRM.
Funnel
See where leads drop. Know what each stage costs.
Track every step from new lead to won. Compare conversion rates, speed, and cost per stage (CPL, cost per qualified, cost per won) by source, campaign, and sales rep, so you can cut waste and scale what converts.
Team Performance
See who converts. Fix the bottleneck fast.
Compare results by sales rep, source, and campaign: lead volume, response speed, qualification rate, win rate, and cost per won. Spot what’s working, coach what’s not, and scale the reps that deliver profitable pipeline.
