The startup offers an artificial intelligence-based retail media platform that analyzes indoor shopping behavior data to create behavioral profiles of physical stores. This technology enables retailers to enhance performance and monetize data assets by providing indoor location intelligence and predictive models tailored to various stages of the purchasing journey.
Funding
$940K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Many retailers struggle to monetize the shopping behavior of anonymous, in-store customers, missing out on a significant portion of potential revenue from their physical retail data. Existing solutions often only capture data from registered users, leaving a large gap in understanding and leveraging the full scope of customer behavior. This lack of comprehensive data hinders retailers' ability to create targeted and effective retail media campaigns.
Solution
Footprints AI offers an AI-powered retail media platform that analyzes indoor shopping behavior data to create detailed behavioral profiles of physical store customers. The platform enables retailers to monetize their data assets by providing indoor location intelligence and predictive models tailored to various stages of the purchasing journey. By leveraging AI, retailers can gain insights into both registered and anonymous shoppers, allowing for more effective targeting and omnichannel delivery of retail media campaigns across in-store digital screens, websites, mobile apps, and off-site channels. The platform helps retailers launch their own private retail media network, enabling them to generate revenues from advertisers and media agencies.
Target Audience
The primary target audience includes retailers looking to monetize their in-store customer data, increase revenue through targeted advertising, and create a private retail media network.
Features
- AI-powered analysis of in-store customer behavior, including foot traffic patterns, in-store engagement, and purchase history
- Behavioral profiling and segmentation based on location insights, socio-demographics, lifestyle, and purchase predictions
- Omnichannel delivery of targeted advertising across digital screens, in-store radio, Wi-Fi, websites, mobile apps, connected TV, social media, and more
- Predictive models for future visits, future purchases, and optimal marketing channel selection
- Integration of zero-party and first-party customer data for enhanced personalization
- Private AI setup ensuring data privacy and GDPR compliance
- Self-service platform enabling retailers to manage and monetize their data without additional employees