A Retail Media Network (RMN) is an advertising platform built and operated by a retailer that allows brands to buy ad placements across that retailer’s owned properties, their website, app, email newsletters, and in-store screens. Amazon Advertising is the most prominent example, but Walmart, Target, Kroger, and thousands of other retailers have built their own networks. What sets RMNs apart is the asset powering them: rich, first-party purchase data collected directly from real buying behaviour.
Unlike social or search advertising, where you’re targeting people who might buy, retail media lets you reach people actively shopping in a category right now. That shift in purchase intent is what makes RMNs one of the most sought-after ad formats in digital marketing today.
Retailers package their customer data into targetable audience segments, shoppers who bought in a specific category in the last 30 days, high-lifetime-value customers, or users who browsed a product without converting. Brands bid for placements across the retailer’s ecosystem through a self-serve platform or managed service, reaching buyers at critical decision points.
Placements range from sponsored product listings and display banners to email slots and digital screens inside physical stores. Attribution is closed-loop: when a shopper clicks an ad and purchases, the retailer confirms the sale directly from its transaction data, delivering exact ROAS figures with no reliance on third-party tracking. Larger networks also syndicate their audience data to external programmatic exchanges, extending reach beyond the retailer’s own properties.
Technically, most RMNs operate through a DSP layer, with inventory accessed via private marketplace deals or direct API integrations. Measurement typically sits inside the retailer’s own data clean room.
eMarketer projects that 1 in every 5 dollars of US digital ad spend will flow through retail media networks by 2029. The growth is driven by cookie deprecation pushing buyers toward first-party data environments, the precise purchase-intent targeting RMNs offer, and the closed-loop measurement advertisers have been chasing for years.
For affiliates and performance marketers, understanding how RMNs work, and how to access their inventory programmatically is increasingly important as these networks pull budget away from traditional display and social. For publishers, the rise of retail media raises the bar for what advertisers now expect from first-party data and attribution across all inventory types.
Traditional digital advertising targets users based on inferred intent, behavioural signals, search queries, demographic data. Retail media targets proven buyers. A brand selling kitchen equipment advertising on a grocery network isn’t guessing who cooks; they’re reaching people who just bought ingredients. This distinction makes retail media unusually effective at the bottom of the funnel, where purchase decisions happen in real time.