Targeting is one of the most important parts of advertising. Retail media is one of the places where targeting can be exceptionally precise because it is based on real shopping behavior, not only declarations or modeled interests.
What are retail media?
Retail media are ads run on platforms that have direct access to user shopping data: retailers, shopping apps, online stores, and marketplaces. Their advantage is first-party data collected directly by the platform, without intermediaries and without guesswork.
Why retail media targeting works better
Retail media appears when the user is in shopping mode: creating a list, browsing promotions, planning a store trip, or buying. It is the right moment to suggest a specific product.
The data is also measurable. It can show what people buy, where they shop, how often they purchase, which brands they search for, which products they browse, which brochures they open, what they add to the shopping list, and what actions they take before the purchase decision.
How targeting works
Data collection
Depending on the platform, data can include browsed products and categories, search and filters, ad clicks, purchase history, delivery and payment preferences, location if shared, and available demographic data.
Shopping apps add signals that are especially useful in FMCG: products added to lists, products marked as bought, promotional brochures and stores viewed, favorite retailers, and shopping frequency.
Segmentation
Segments are built from real shopping behavior, not only demographics or interests. Examples include regular buyers of baby products, shoppers of selected retailers, users browsing specific offers, weekend shoppers, or buyers of a selected brand.
That precision matters. A campaign aimed at women aged 30+ may only roughly approximate parents. A campaign aimed at people who actually buy nappies, baby food, or wipes is based on a much stronger signal.
Targeting and delivery
Ads can be shown just before or during shopping planning, matched with preferences, and connected with earlier shopping behavior. Campaigns can target category, brand, retailer, location, and shopping rhythm.
Effects and measurement
Retail media can influence sales and, in many cases, support that claim with data. Retailers may provide sales uplift in categories, marketplaces can evaluate results inside their sales ecosystem, and shopping apps can estimate ROAS using engagement and shopping-planning signals such as clicks, add-to-list, and store-related behavior.
Who controls data and delivery?
Retail media can operate in different models. In an integrated model, the publisher owns the data, delivers ads in its own environment, and provides reporting. This model gives strong control over the context and methodology.
In a distributed model, a retail media platform provides audience segments for external systems such as DSPs or social platforms. Targeting is based on first-party data, but delivery and reporting happen outside the platform. This model requires strict data governance and is often supported by clean rooms.
What is a clean room?
A clean room is a secure environment where different parties can combine data without physically exchanging raw data. A brand can bring its customer base, while a retail media platform brings shopper data. Both sides can then create segments, for example by excluding current customers and focusing on new buyers, while protecting user privacy.
Retail media closes the funnel
Retail media works especially well near the end of the path to purchase. When someone is already planning a store visit, browsing a brochure, or building a list, a well-matched ad can close the decision process and influence the product choice.
Summary
Retail media gives brands access to unique first-party shopping data, precise targeting, and a timing advantage. For brands, it means reaching the right people closer to the purchase. For users, it means seeing ads that are more relevant to what they actually plan to buy.
