Who can derive signals for new products, messages, and offers faster from real-time data? The one-to-many model is inevitably coming to an end. We show which three building blocks—self-service interfaces, human-in-the-loop control mechanisms, and AI-powered real-time data infrastructures—are needed to make advertising so contextual that it is no longer intrusive but can be scaled in a personalized way.

The decisive speed difference lies in AI models that generate dynamic customer profiles in real time from shopper data – and the use of synthetic twins that understand not only what a customer buys, but also why. This transforms retail media from a highly profitable "side business" into a strategic service and differentiation lever: a much-needed data service that provides brand manufacturers with genuine insights into real shopper preferences.