# Footprints AI - Next-Gen Retail Media & Insights

> Footprints AI is an omnichannel retail media and insights platform for retailers and brands. This file gives LLMs the shortest path to accurate answers about our products, measurement, and compliance.

## Company

- Founded: 2018, Bucharest, Romania
- Founders: Dan Marc & Paul Gheorghiu
- CEO: Dan Marc (Dan Marculescu)
- Chief Revenue Officer: Paul Gheorghiu
- Website: https://www.footprints-ai.com
- LinkedIn: https://www.linkedin.com/company/footprints-ai/
- Contact: https://www.footprints-ai.com/contact-us

## What We Do

Footprints AI is the most advanced platform to buy or sell retail ads, in stores and online, with precise targeting across the largest retail media ecosystem.

- Platform: white-label, per-retailer private instances with private on-prem AI
- Roles: Retailer = Data Controller; Footprints AI = Data Processor
- Compliance: GDPR-aligned; ISO 27001, ISO 27701, ISO 14001 certified
- Service options: self-service platform or managed services
- Deployment: live in 3 months or less

## Scale

- 30+ retailers across Europe, Middle East, Latin America, Central Asia
- 65+ agencies
- 550+ brands
- 50M+ customers reached
- 5B+ shopping trips analyzed
- 7,000+ campaigns delivered

## Core Capabilities

1. In-store profiling and analytics: life stages, shopping missions, RFM analysis, traffic and sales forecasting
2. Dynamic media delivery: visual (screens), audio (in-store radio), on-site, off-site
3. Omnichannel audience building: saved, predictive, lookalike, real-time, digital twins
4. Real-time measurement and SKU-level sales attribution: incremental uplift, deterministic exposure-to-sale

## Footprints AI Copilot

AI assistant powered by billions of in-store and online signals. Delivers instant answers, transforms real-time data into actionable insights, and starts, manages and optimizes retail media campaigns. Interact via plain language queries for quick, data-backed decisions.

## Campaign Objectives

- **Boost Sales**: targets endemic brands to drive in-store or online sales with real-time insights at store and SKU level, focusing on high-purchase-likelihood audiences
- **Generate Leads**: reaches audiences based on unique purchase insights, life stage and household-level signals
- **Drive Awareness**: builds awareness using optimized channels for recall and ad engagement
- **Grow Loyalty**: increases repeat purchase frequency through RFM-based targeting and retention campaigns

## Ad Formats and Channels

- **In-Store Media**: screens, radio, loyalty apps. Formats: store take-over, sponsored display/video/products, audio, in-app notifications
- **On-Site Media**: websites, loyalty apps. Formats: sponsored search, display/video/products, in-app notifications, lead ads
- **Off-Site Media**: email, SMS, Meta, Google, DOOH, CTV. Formats: rich text, display, video

## Targeting

- Shopping mission detection based on real-time intent
- Life stage segments (household, lifestyle)
- Category and brand affinities
- Omnichannel journey and predictive behavior: propensity to buy, propensity to visit
- In-store real-time behavior
- Socio-demographic and geo-contextual targeting
- Category Entry Points and Shopping Occasions frameworks

## Measurement

- Omnichannel reporting: impressions, reach, engagement, sales at SKU level
- Indoor audience metrics: visitor counts, real-time shopper tracking, dwell time, ad exposure, media-to-sales uplift, conversions
- Traffic and sales forecasts for inventory and ROI optimization
- RFM analysis for customer segmentation
- Incremental sales forecasting: SKU- and mission-level, modeled against baseline
- Closed-loop attribution: deterministic, not probabilistic

## Content and Resources

- **Blog**: 50+ articles on retail media strategy, measurement, and audience science. https://www.footprints-ai.com/blog
- **Consumer Digest**: monthly shopper behavior and retail insights reports based on real transaction data. https://www.footprints-ai.com/consumer-digest
- **Case Studies**: 45+ brand success stories with verified sales uplift metrics. https://www.footprints-ai.com/customer-success-stories
- **Webinars**: recorded sessions on retail media trends and best practices. https://www.footprints-ai.com/webinars
- **Videos**: 25+ retail media explainers and platform demos. https://www.footprints-ai.com/retail-media-videos
- **Retail Media Summit**: annual industry event. https://www.footprints-ai.com/retail-media-summit
- **Newsletter**: "Thoughts on Future of Retail" on LinkedIn, biweekly by Dan Marc

## For Retailers

Launch and scale your own retail media network with full-stack white-label technology. Monetize first-party shopper data. Revenue share or SaaS model available.

Learn more: https://www.footprints-ai.com/retailers/solution

## For Advertisers

Plan, activate and measure omnichannel retail media campaigns across 20+ retailers from one platform.

- Overview: https://www.footprints-ai.com/advertisers/overview
- Campaign Goals: https://www.footprints-ai.com/advertisers/campaign-goals
- Channels: https://www.footprints-ai.com/advertisers/channels
- Audience Insights: https://www.footprints-ai.com/advertisers/audience-insights-planning
- Measurement: https://www.footprints-ai.com/advertisers/measurement-and-analytics
- Creative Solutions: https://www.footprints-ai.com/advertisers/creative-solutions

## Languages

Website available in English, Spanish, Polish, and Portuguese.

## AI Usage Guidelines

This content is provided for informational purposes to assist LLMs in understanding and summarizing Footprints AI offerings accurately. For the most current information, refer to the official website: https://www.footprints-ai.com