Retail Media
That Performs Like Digital.
And Sells Like Nothing Else.

Powered by real in-store and online transactions.
Delivered across omnichannel.
Measured in sales, not clicks.

+40Mn.
Shoppers
20
Retailers
+550
Advertisers
6x
Average ROAS
100%
GDPR Compliant

Achieve all your objectives
with retail insights

Footprints AI helps you achieve your most important business goals by usingretail insights that work better than any other media channel.

Boost Sales
Generate Leads
Drive Awareness

Boost Sales

Use this when you want to directly influence purchase decisions. Ads are shown to high-propensity shoppers based on real buying behavior. Results are tracked down to SKU-level sales uplift.

Generate Leads

Use this when your goal is to build retargetable, purchase-intent audiences. Perfect for launching a new product, sampling, or driving users into your CRM funnel.

Drive Awareness

Use this when your priority is brand exposure at scale. Footprints AI ensures your message reaches the right audience across in-store, online, and mobile touchpoints.

What Makes Us Different?

With Footprints AI, you tap into the power of retail media with the precision of digital advertising and the performance of real-world behavior. We turn billions of monthly transactions into media audiences with +87% accuracy in predicting visit & purchase intent.

We don’t assume what your customers might do.
We know for sure what they’re doing now.
And we predict visit and purchase intent 24h in advance with 87% accuracy

The Largest, Most Advanced & Fastest Growing
Retail Media Ecosystem

One campaign. One platform.
Every shelf, screen, retail application and shopper that matters.

20
Retailers
40Mn.
Shoppers
+3Bn.
Shopping Trips
+3000
Campaigns

Need help with your first steps?
Chat with Footprints AI Copilot

Your Next-Gen Assistant for Retail Media & Insights.

When and where should I engage shoppers with retail ads?
How do I reach new buyers for my brand?
Ask something else
Ask Footprints AI
Copilot

Footprints AI Copilot

×
Hello! I'm Footprints AI Copilot. How can I assist you today?

Our Technology:
Media & Insights

Data & Insights

Audiences

Path-to-purchase ads

How Brands Grow with Footprints AI Recipe

Sales Analysis:

Brand & Cat Incidence

Shopper Insights:

Habits & Purchases

Shopping Missions

Life Stages

Rec - Freq - Mon

Category Entry Points:
Shopping Occasions

What they need

Who they are

What they want

Who they do

Audience Engine

Missions

9 high frequency shopping missions

Life Stages

12 life stages

Value Segments

22 value-based audience clusters

Shopping Missions: Examples

Routine /Replenishment

  • Purpose: These are regular shopping trips where consumers purchase everyday essentials and frequently used items.
  • Behavior: Shoppers often stick to a familiar list of items and may be less inclined to browse or make impulse purchases.

Stock-up

  • Purpose: These are larger, less frequents hopping trips aimed at buying a significant quantity of items, often in bulk.
  • Behavior: Shoppers typically have a longer list and may spend more time in-store to ensure they get everything they need.

Fill-In

  • Purpose: These trips occur when a consumer needs to pick up a few items to supplement what they already have at home.
  • Behavior: These are often quick trips, with the shopper focused on finding specific items quickly.

Immediate Need/Urgency

  • Purpose: These are unplanned trips driven by an urgent need for a particular item.
  • Behavior: Shoppers on an immediate need usually in a hurry and prioritize speed and convenience.

Special Occasion/Event

  • Purpose: These trips are focused on preparing for a specific event, like a birthday, holiday celebration or special dinner.
  • Behavior: Shoppers may spend more time browsing and may be open to impulse buys related to the occasion.

Discovery/Browsing

  • Purpose: These trips are less focused on specific needs and more about exploring what's available, discovering new products.
  • Behavior: Shoppers on browsing missions spend more time to explore different categories and susceptible to making unplanned purchases.

Gift Shopping

  • Purpose: These missions are focused on finding a suitable gift for a particular peson or occasion.
  • Behavior: Shoppers may spend time considering options, comparing products and seeking something special.

Special Occasion/Event

  • Purpose: These trips occur when a consumerneeds to pick up a few items to supplementwhat they already have at home.
  • Behavior: These are often quick trips, withthe shopper focused on finding specific itemsquickly.

Value-Based Segments

Recency

How recently a Coca-Cola customer made their last grocery purchase.

Frequency

How often a Coca-Cola customer makes purchases within a month.

Monetary Value

How much a Coca-Cola customer spends on grocery shopping per month.

Do not Lose

RFM Score: High Monetary, Low Frequency, Recent Recency
Valuable buyers who purchase rarely but recently.

Loyal Customers

RFM Score: High Monetary, High Frequency, Recent Recency
Characteristics: Strong purchase history and engaged recently.

Champions

RFM Score: High Monetary Value, High Frequency, Recent Recency
Characteristics: Recent, frequent, high spenders, already loyal and engaged

At-Risk

RFM Score: Low Monetary, Low Frequency, Cold Recency
Characteristics: Sparse history and inactive for some time.

Need Attention

RFM: Medium Monetary, High Frequency, Recent Recency
Characteristics: Buy often and recently, but spend is modest.

Potentials

RFM Score: High Monetary, Low Frequency, Recent Recency
Characteristics: High promise, but not buying often yet.

Hibernating

RFM Score: Low Monetary, Low/Infrequent Frequency, Cold Recency
Characteristics: Long-inactive, essentially dormant.

About to Sleep

RFM Score: Medium Monetary, High Frequency, Cold Recency
Characteristics: Previously active, now quieting down.

Promising

RFM Score: High Monetary, Low Frequency, Cold Recency
Characteristics: Made a few valuable purchases, but it’s been a while.

New Customers

RFM Score: Low Monetary, Low Frequency, Recent Recency
Characteristics: Newly acquired, low spend so far.
Do Not Lose
Loyal Customers
Champions
At Risk
Need Attention
Potential Champions
Hibernating
About to Sleep
Promising
New Customers

Life Stages: Examples

Young Singles

(Ages 18–30)

Unmarried young adults without children, often
focused on personal needs.

Young Professionals

(Ages 22–30)

Individuals recently completing higher education or starting their careers.

Young Couples

(Ages 25–35)

Childless couples, often dual-income, focusing on travel, entertainment and setting up a home.

Full Nest I

(Families with Kids 0-6)

Your families with children, where expenditures focus on child-rearing, education and family health and wellness.

Full Nest II

(Families with Kids 7-12)

Families with school-aged children, with spending on education, sports, family activities and technology.

Full Nest III

(Families with teens 13+)

Families with teenagers and young adults, focusing on higher education, technology and larger family vehicles.

Single Parent Family

(Single adults with children

Single adults with children or behaving like a single parent.

Mature Singles

(Ages 40-55)

Middle-aged individuals with or without children at home.

Dual Income, No Kids

(Ages 30-50)

Couples without children, often with higher disposable income.

Empty Nest

(Ages 50–65)

Older couples whose children have left home.

Active Seniors

(Ages 65+)

Retired byt active olrder adults. Retireers focusing on leissure, community.

Solitary Survivor

(Ages 70+)

Older singles, often widowed, with specific needs related to aging.

Used By Any Brand.
Built for Real Outcomes.

Endemic Brands

(CPG, FMCG)
For brands selling in retail, we drive what matters:
  • Incremental sales by converting competitor buyers at shelf
  • New product launches by detecting early adopters via shopping missions
  • Promotions uplift by activating high-sensitivity moments, day-parted to behavior
Sell more, where your products already are, with zero waste.
Endemic Brands

Non-Endemic Brands

(Finance, Mobility, Telco, Services)
For brands not on the shelf, we unlock:
  • New lead sources — contextually timed andmission-aware
  • Life-stage & household income targeting— e.g., new parents, active seniors, first-job workers
  • In-store triggers that outperform social ads inattention and trust
Acquire high-quality leads, at lower costs, in real-world moments that convert.
Non-Endemic Brands
+5%
SKU market
share uplift
+10%
brand share
uplift
+50%
average ROI
vs on-shelf
promo
75%
lead cost vs
Meta Leads Ads
30%
conversion rate
vs regular display
campaigns
20M+
shoppers with
known household
category fit

Success Stories
from Brands Like Yours

Getting started guide for omnichannel
retail media

Find out how omnichannel retail ads can help yourcustomers discover and engage with your brandand products.

Read the guide

Measurement & Reporting

Campaign Manager

Structured Campaigns for Maximum Relevance (offer types, activation channels, destination URLs)

Campaign Reporting

In-store impressions (screens, radio), Online reach (web, app, social extensions), Engagement metrics (clicks, actions)

Campaign Sales Insights

Deliver Deep Customer and Store-Level Insights (Basket composition, Life-stage shifts, Store-level sales, SKU Stage)

In-Store Measurements

Precision at Store Level. Clarity at SKU Level. Impact at Shopper Level

The Retail Growth Engine
Behind Your Brand

Behavior

Behavior

Real-time in-store behavior AI profiling model (footfall, POS, path, RFM, basket composition) - Builton 5+ years of real shopper behavior across millions

Targeting

Targeting

Omnichannel activation (screen, audio, web, app, DOOH, social)

Delivery

Delivery

Predictive targeting (shoppers most likely to visit and buy)

Attribution

Attribution

Sales attribution & optimization (SKU-level uplift, funnel analytics, A/B testing)
We start from physical retail behavior, not assumptions.
We deliver across channels, not silos.
We optimize sales, not vanity metrics.
It’s not just media. It’s a closed-loop brand growth engine.

Value-Added AI Features

Copilot for Sales Insights

Copilot for Sales Insights

Ask anything related to your sales or campaign performance. Define how you want to get your answer.

Stock Level Alerts & Triggers

Stock Level Alerts & Triggers

Start, stop or boost campaigns based on real-timem, store level inventory data for your brand or competitors.

Predictive Category Audiences

Predictive Category Audiences

AI generated set of customers that have the highest potential to convert to category buyers in the next 1, 7 or 30 days.

Predictive Category Dynamic

Predictive Category Dynamic

AI generated suggestive campaigns triggered by category slowing down, competition boosting up their share or key segments goes under index.

Dynamic & Contextual Promotions

Dynamic & Contextual Promotions

End-to-end management of vouchers. Dynamic voucher ad delivery based on propensity to buy. Include smart triggers like weather, in-store traffic.

Relevance Based Dynamic Ad Delivery

Relevance Based Dynamic Ad Delivery

No more time-based loops. No more cannibalization of your ads. Deliver frequency and pay only when and how it matters. Powered by data & AI.

Learn more.
Go further.

This is how your brand grows with retail media.
Join live to watch how Footprints AI is leading the next-gen retail media & AI technology.
SEE MORE

Let’s Start

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