What’s In Your Store for Retail Media with Footprints AI?

Overview

Turn every store visit into new media revenue

Retailers are sitting on a goldmine. Every shopper walking into your store, every item scanned at checkout, every product on a shelf - it’s not just commerce. It’s data. And that data can power a whole new business: Retail Media.

With Footprints AI, you can start generating high-margin revenue from brands and agencies, without changing how you run your stores.

Here’s how it works:

‍

You already know what sells. Now, know who’s buying and why

Footprints AI uses your existing ePOS data to profile every visitor. No apps. No loyalty programs. Just behavior.

From this, it builds 12 real shopper personas, customized to your business. Imagine: the Nest 1 family with newborn where dad does weekly shopping, the Dual Income No Kids couple shopping for health-conscious products, the Young Professional who’s impulse buying on their lunch break.

The more you know about who’s walking into your store, the more valuable your media becomes. And if you’ve got WiFi, sensors, or cameras - even better! Our AI adds real-time precision without adding cost.

‍

Your store becomes a media channel. Automatically

Footprints AI turns your in-store screens and audio systems into smart media assets.

Instead of looping the same content all day, the AI decides what ad to show, based on who's present and what’s likely to convert. It’s real-world programmatic.

Brands love it, because it performs like digital, but in the physical world.

And you love it - because they’ll pay premium, performance-based pricing for the opportunity. No new hardware. No added staff. Just smarter media, powered by the data you already have.

‍

Now monetize what happens online too

Your best in-store customers leave signals behind. We use those signals to build media audiences online.

The AI finds people nearby who are browsing your website, using your app, or searching on Facebook or Google and identifies which of them behave like your in-store shoppers.

‍

You can now offer brands the chance to reach these high-intent users across channels. Not just in-store, but online too!

That’s omnichannel media, without needing an ad tech team.

‍

It gets smarter. And more valuable

Because the AI sees behavior over time, it begins to understand more than just products; it sees life stages, income patterns, and upcoming needs.

Brands don’t just get reach. They get relevance. They can speak to shoppers who are ready to act, across any format: SMS, email, loyalty, Google, Meta, even Connected TV and digital-out-of-home.

Which means higher engagement. Better performance. And more revenue back to you - for every campaign.

‍

Everything ties back to sales. Every time

Footprints AI tracks media performance all the way to the SKU and store level.

When an ad plays, we measure what happens next. Who saw it or heard it. Who bought. What changed.

That level of transparency is why brands are willing to pay more and why your retail media business becomes more profitable, fast.

‍

Media Audiences Powered by In-Store Behavior

Where others see foot traffic, Footprints AI sees first-party media audiences.

Every step of each and every shopper browsing and purchasing inside your store can fuel your next media audience. Footprints AI captures this anonymous behavioral data and turns it into precise, segmentable audience profiles ready for omnichannel activation.

We don’t need loyalty cards. We don’t need surveys. We don’t even need a mobile app.

We observe behavior, in-store, and match it to high-confidence audience signals.

What we build audiences from:

• Life Stage
• Shopping Mission
• Product & Category Affinity
• Brand Affinities
• Visit Frequency and Timing
• Store Type and Aisle-Level Behavior
• Household Disposable Income

But we don’t stop at in-store. Your best in-store customers leave signals behind. We use those signals to find lookalikes in the digital world.

Our AI identifies people nearby who:

• Are browsing your website
• Are using your mobile app
• Are searching for you on Google
• Are engaging with your content on Facebook or TikTok

Then Footprints AI’s unique offline-to-online customer data fusion matches them to your highest-value in-store segments, the ones who’ve already walked your aisles, stood in front of your displays, and checked out with your products.

This Digital Twin of the Customer creates true omnichannel customer profiles that can be uniquely identified by up to 468 unique attributes, for each individual, based on unique behaviors observed in each store and its physical and digital surroundings, what we call the “catchment area.”

This is how you offer brands something powerful: The ability to reach high-intent shoppers across every channel, not just in-store, but online too.

No DMP. No CDP. No ad tech team is required. Just real behavior, turned into real audience reach.

These aren’t modeled personas. They’re grounded, real, and ready for:

• In-store screen & radio targeting
• Website retargeting
• In-app targeting
• Off-site retargeting like on DOOH and CTV
• CRM enrichment
• Email, SMS & WhatsApp engagement

In-Store Dynamic Media Delivery

Most in-store networks play ads on a loop. Footprints AI plays what matters, based on who’s walking by.

Once we know who’s in the store, we don’t wait. We dynamically deliver the right ad, on the right channel, at the right second, based on who’s walking by and what their behavior tells us they’re likely to do.

This is real-time in-store targeting. Not playlist loops. Not static ads.

‍

How it works:

• Each screen location is linked to high-frequency audience detection zones
• The playlist updates dynamically based on the current or forecasted audience mix
• Creative rotation is managed in real time to match shopper segments

With Footprints AI, media dynamically adapts across three channels in real time:

• In-store digital screens
• In-store radio
• Companion mobile apps used during the shopping journey

But dynamic delivery starts with Relevance Scoring, our AI-driven decision layer that connects behavioral intelligence to campaign logic.

‍

Relevance Score: The Brain Behind the Delivery

Footprints AI combines insights from:

• In-Store Behavioral-Based Profiling
• Life Stage segmentation
• Real-time in-store analytics
• Location and mission-specific media audiences

And calculates a Relevance Score in real time for each ad:

• Who is currently in proximity?
• What do we know about their behavior and intent?
• Which campaign asset has the highest predicted match?

Based on this, the system selects:

• The right creative
• On the right channel (screen, audio, or mobile app)
• At the right moment

Shopper cohort detected near snacks: High Relevance Score for Family Bundles = screen + radio promo. Shopper near beauty aisle with past app usage = trigger mobile push for cosmetics loyalty offer.

Dynamic Digital Screens

Screen playlists adapt based on:

• The audiences currently in front of the screen
• Predicted high-affinity audience patterns for the current hour
• Mission and purchase intent inferred by aisle

This enables:

• Creative rotation tied to real audiences
• Screen zones that respond to second-by-second shopper behavior
• Campaign frequency optimization to reduce waste and boost ROI

Dynamic In-Store Radio

Footprints AI uses real-time audience data to adapt audio ad delivery:

• Predicts which segments are currently present in the store
• Optimizes audio ad timing based on profile mix
• Skips irrelevant messages and boosts delivery of high-match content

Dynamic In-App Experiences

For shoppers using your mobile app in-store:

• Footprints AI detects their in-store presence via geofencing and indoor positioning
• Delivers personalized, time-sensitive offers on their device
• Syncs mobile content with the screen and shelf experience in real-time

This isn’t a fixed playlist. It’s a predictive, intelligent retail media network. More premium inventory created dynamically to get you out of the deprecated time-based ad selling model.

‍

‍

In-Store Media Measurement

Performance media is only as powerful as its measurement. Brands want proof — not just reach, but impact. They want to pay for performance, not for promises. That’s how retail media becomes accountable. That’s how budgets become dynamic. That’s how scale becomes sustainable.

‍

Every impression matters. And we measure every one.

With Footprints AI, you get full proof of delivery, reach, and impressions for both visual and audio retail media campaigns that were delivered in your store — grounded in behavioral signals, not estimates.

‍

Visual Media (Digital Screens, Companion Mobile App)

• Reach = how many unique shoppers, identified as audience profiles, entered the screen’s view zone (based on Viewability and Capture rate)
• Impressions = total number of exposures per campaign, per screen, per second
• Exposure Quality = dwell time, view angle, zone classification, time-on-screen
• App Sync = Companion app media tracking for multi-surface exposure

‍

Audio Media (In-Store Radio)

• Reach = count of total number of unique shoppers, identified as in-store audience profiles, present during audio ad playback within the full perimeter of the audio signal.
• Impressions = estimated delivery via acoustic zone coverage and profile overlap.
• Timing Matching = correlates dwell time + motion of people within store with audio delivery schedules.

Want to know if a breakfast ad aired when our "Morning Replenishment Shoppers" were in-store? We can tell you — down to the screen, second, and aisle.

Curious if a radio spot moved shoppers toward beverages? We track their motion path, pause zones, and eventual product choices just after they heard a certain radio ad.

This is media you can trust — with proof of play, audience-level exposure, and media ROI that justifies every retail media campaign.

In-Store Media-to-Sales Attribution

Attribution inside a store is hard. We made it simple. Footprints AI tracks a shopper’s journey from store entry to checkout - mapping:

• Media exposure zones
• SKU interaction zones
• Product selection behavior

Then we connect that journey to sales. Not just estimates - real, incremental lift compared to non-exposed shoppers. Our model doesn’t rely on black-box panels or extrapolated intent. It uses deterministic, path-based attribution grounded in:

• Behavioral presence and zone matching
• Time-stamped exposure to retail media ads
• Actual scanned purchases at checkout

What powers our attribution engine:

• Store- and SKU-level sales forecasting
• Real-time behavioral path tracking
• Creative exposure timestamping
• Predictive modeling for baseline sales lift
• Cohort comparison between exposed and unexposed shoppers

It answers real business questions to your media client – the brand:

• Which campaign increased purchase to my product relative to the entire category?
• Did this specific screen ad or radio message move more product?
• What’s the true ROI of retail media campaign versus the incremental sales uplift?

And it delivers:

• Uplift in sales by SKU, store, time slot, and creative
• Attribution at the shopper level (anonymous but behaviorally matched)
• Media mix performance across in-store screen, audio, and app touchpoints
• Clear causality from media exposure → behavioral shift → product scan

Shopper enters at 5:12 PM. Walks by beverage zone. Sees digital ad of screens for your zero-sugar cola. Adds it to cart at 5:17 PM. We tracked it. We matched it.

We even detect delayed impact - when a shopper sees an ad, skips the product, then returns days later and buys after another exposure.

This is attribution that closes the loop. It empowers dynamic campaign optimization. It enables performance-based retail media that scales.