As retail media expands into physical stores, measuring whether an ad was displayed is only the beginning. Retailers and brands increasingly need to understand what happened after exposure: where shoppers went, what they engaged with, whether they purchased, and how those signals can inform future campaigns.
In the True Closed-Loop Attribution for In-Store Retail Media Playbook, Dragonfruit AI explores how retailers can connect verified media exposure, shopper behavior, purchase outcomes, and omnichannel activation into a more complete measurement framework.
The playbook covers the evolution from verified impressions to journey-level measurement; how existing retail data, camera infrastructure, and behavioral metadata can work together; how shopper journeys can be measured without facial recognition or personally identifiable information; and how physical-store behaviors can become measurable intent signals similar to those used in e-commerce.
You'll also learn how in-store insights can support campaign optimization, cross-channel activation, and more accurate online-to-offline attribution — helping retailers connect what shoppers saw, did, and bought across the physical and digital journey.
Click here to read the full playbook