Dunnhumby is a customer data science platform that analyzes retail shopper data to deliver insights, personalization, and media targeting for brands and retailers.
Dunnhumby is a customer data science platform designed to help retailers and consumer brands understand, predict, and influence shopper behavior. The platform ingests and unifies large-scale transactional, loyalty, and digital interaction data to generate granular, privacy-compliant customer insights. Core capabilities include customer segmentation, propensity and churn modeling, price and promotion optimization, assortment and space planning, and personalized marketing and media activation.
Dunnhumby’s retail media solutions enable advertisers to plan, buy, and measure campaigns across on-site, off-site, and in-store channels using retailer first-party data, with closed-loop measurement that ties exposure to actual sales outcomes. For grocery, retail pharmacy, and financial services, Dunnhumby supports use cases such as optimizing store layouts, tailoring offers by mission or occasion, improving category performance, and designing customer-centric loyalty programs. Analytics teams can use Dunnhumby’s tools and models to run experiments, forecast demand, and evaluate the impact of pricing, promotions, and media spend.
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