Footprints AI
Retail media powered by AI that understands why people buy, connected to real shopper purchases.
About Footprints AI
Footprints AI (formerly Footprints for Retail) is a retail media platform that lets retailers run their own retail media networks across in-store screens and radio, websites, apps, and off-site channels. Brands and agencies use it to plan audiences from real purchase data, launch campaigns, and measure sales impact down to the SKU and store level. The Bucharest-based company works with retailers such as Profi, Auchan Romania, and Eurocash across Central and Eastern Europe.
Pros & Cons
Pros
- Measures sales impact against real POS receipts at SKU and store level, not modeled panels
- Covers in-store screens and radio alongside online, social, programmatic, DOOH, and CTV in one workflow
- Advertisers can open a self-serve account and launch campaigns without a sales call
- Store-level A/B testing and control groups support incrementality measurement
- Large retailer network in Central and Eastern Europe (Profi, Auchan Romania, Eurocash)
Cons
- No public media rates or retailer pricing; costs depend on campaign and contract
- Reach is concentrated in Central and Eastern Europe, mainly Romania and Poland
- Retailers need in-store screens, sensors, or Wi-Fi and POS data integration to get full value
- Few independent user reviews; most performance figures come from vendor case studies
Key Features
Audience Reach Planner
Build audiences by category, brand, basket behavior, and shopping mission from real sales data, and preview unique shopper reach before spending.
Omnichannel campaign builder
One workflow to plan, create, and target campaigns across in-store screens and radio, retailer apps and websites, social, programmatic, DOOH, and CTV.
Creative Studio
Create images, animations, and video or upload your own; channel-specific formats and specs are applied automatically.
SKU-level sales attribution
Closed-loop measurement ties ad exposure to POS receipts, reporting sales lift, basket incidence, basket value, and category share by SKU, store, and audience.
In-store measurement
Combines in-store sensors, screen and radio playout logs, POS data, and app activity to count real shopper exposure, live in-store shoppers, traffic flow, and dwell time.
Predictive and lookalike audiences
AI models predict shopping missions, product needs, and brand affinities over the next 30 days to build predictive and lookalike segments.
Sales forecasting
Simulates how specific audiences in specific channels and store formats are likely to respond before budget is committed.
Footprints AI Copilot
A chat assistant for campaign planning, optimization questions, and retail insights in plain language.
Retailer platform
White-label, multi-tenant setup with A/B tests and store-level control groups, open APIs, and integrations with DSPs, CDPs, and retail systems.
Pricing
- Self-serve advertiser account
- Retail Audience Planner
- Campaign reporting and Retail Sales Insights dashboards
- Media billed per view across in-store and online channels
- Media planning
- Campaign setup
- Campaign optimization
- Media strategy and sales insights
- Own retail media network
- White-label, multi-tenant platform
- In-store measurement and shopper insights
- Open APIs and integrations
Best For
Retailer launching a retail media network
Grocery and retail chains monetize store screens, radio, apps, and shopper data by selling targeted ad inventory to brands and agencies.
CPG brand driving in-store sales
Consumer brands target shoppers by purchase behavior and measure incremental units sold per SKU and store after exposure.
Agency planning retail campaigns
Media agencies plan reach on real shopper audiences, buy across in-store and online channels, and report sales attribution to clients.
Non-endemic advertiser reaching shoppers
Banks, insurers, and media brands use retailer audiences for awareness and lead generation, with leads tracked from impression to CRM.
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