Retail media networks have become the fastest-growing advertising channel in digital marketing, fundamentally reshaping how brands reach consumers at the point of purchase decision. When a shopper searches for “running shoes” on Amazon, the sponsored product listings they see at the top of the results represent a $46 billion advertising market that did not meaningfully exist five years ago. Every major retailer, from Walmart and Target to Kroger and Instacart, has launched its own advertising platform, and the combined revenue of these networks has made retail media the third-largest digital advertising channel behind search and social. The appeal is straightforward: retail media enables brands to reach consumers who are actively shopping, with targeting powered by actual purchase data rather than inferred intent, and measurement tied directly to sales rather than proxy metrics. In 2026, retail media has evolved from a simple sponsored product listing model into a sophisticated ecosystem spanning on-site search ads, display banners, off-site programmatic extensions, in-store digital screens, and connected television integrations.
Market Scale and Revenue Growth
Global retail media advertising spending reached $140 billion in 2024 and is projected to exceed $190 billion by 2027, according to eMarketer. In the United States, retail media ad revenue surpassed $55 billion in 2024, representing more than 20 percent of total digital ad spending. The channel is growing at approximately 25 percent year over year, faster than any other digital advertising category.
Amazon continues to dominate with approximately 75 percent of US retail media spend flowing through its advertising platform. Amazon Ads generated $46.9 billion in revenue in 2023, making it one of the largest advertising businesses globally. However, the fastest growth is occurring among non-Amazon retailers. Walmart Connect grew revenue by 28 percent year over year, while Instacart Ads, Kroger Precision Marketing, and Target Roundel have each scaled to billion-dollar revenue trajectories.
| Metric | Value | Source |
|---|---|---|
| Global Retail Media Spend (2024) | $140 billion | eMarketer |
| Projected Global Spend (2027) | $190+ billion | eMarketer |
| US Retail Media Revenue (2024) | $55+ billion | eMarketer |
| Amazon Ads Revenue (2023) | $46.9 billion | Amazon |
| YoY Channel Growth Rate | ~25% | eMarketer |
| Amazon Share of US Retail Media | ~75% | Insider Intelligence |
Platform Architecture and Ad Formats
Retail media networks offer an expanding array of advertising formats designed to influence shoppers at different stages of the purchase journey.
Sponsored product listings remain the core format, appearing within search results on retailer websites and apps. These keyword-targeted ads operate on a cost-per-click auction model similar to Google Ads, but with the critical advantage of appearing where purchase intent is highest. Average click-through rates for sponsored products range from 0.5 to 3 percent depending on category and placement, with conversion rates significantly higher than standard display advertising because users are already in a shopping context.
Sponsored display and banner advertising extend brand presence beyond search results to category pages, product detail pages, and homepage placements. These formats support both endemic advertisers (brands selling on the retailer\’s platform) and non-endemic advertisers (brands that do not sell through the retailer but want to reach its audience, such as financial services or automotive companies targeting grocery shoppers).
Video advertising within retail media ecosystems has grown rapidly. Amazon\’s introduction of ads on Prime Video created a massive new premium video inventory pool, while Walmart\’s partnership with Roku and other retailers\’ CTV integrations enable brands to reach shoppers with full-screen video ads powered by purchase-based targeting. These video formats combine the emotional impact of television advertising with the deterministic measurement that retail data enables.
Off-site audience extension represents the most significant evolution in retail media capabilities. Retailers like Amazon, Walmart, and Kroger now offer the ability to target their shopper audiences across the open web through programmatic advertising integrations. This means brands can use Walmart\’s purchase data to target known Walmart shoppers with display and video ads on publisher sites, social platforms, and connected television, all measured against actual in-store and online sales. This off-site capability transforms retail media from a point-of-purchase channel into a full-funnel advertising solution.
Major Retail Media Networks Compared
| Network | Key Strength | Notable Capability |
|---|---|---|
| Amazon Ads | Largest scale and data depth | Amazon DSP, Prime Video ads, AMC clean room |
| Walmart Connect | Omnichannel (online + 4,700 stores) | In-store TV walls, self-serve + DSP |
| Instacart Ads | Grocery delivery audience | Shoppable display, brand pages |
| Kroger Precision Marketing | Loyalty card purchase data | Closed-loop measurement via 84.51 |
| Target Roundel | Premium audience segments | Off-site programmatic + CTV |
| Uber Advertising | Mobility + delivery audience | Journey ads, post-checkout placements |
The First-Party Data Advantage
The fundamental value proposition of retail media rests on first-party data that retailers collect directly from their customers. In an era where third-party cookies are deprecated and privacy regulations restrict cross-site tracking, retailers possess something increasingly rare and valuable: deterministic purchase data connected to known customer identities.
This data advantage manifests in targeting precision that other advertising channels cannot match. A CPG brand advertising on Kroger Precision Marketing can target households that purchased a competitor\’s product in the past 90 days, households that buy organic products but have never purchased the brand, or households with purchase patterns indicating they are likely to switch brands in the category. This level of behavioural targeting based on actual transactions rather than browsing behaviour produces dramatically higher return on ad spend.
The measurement advantage is equally significant. Because retailers own the transaction data, they can provide closed-loop attribution that connects ad exposure directly to purchases. Kroger\’s 84.51 data science subsidiary pioneered this approach, enabling brands to measure the incremental sales lift generated by their retail media campaigns with a rigour that most digital advertising channels cannot achieve. This closed-loop measurement aligns naturally with marketing attribution best practices that prioritise sales-based outcomes over proxy metrics.
Clean Rooms and Data Collaboration
Data clean rooms have become essential infrastructure for retail media, enabling brands and retailers to match their respective datasets without exposing raw customer information. Amazon Marketing Cloud, Walmart Luminate, and partnerships with clean room providers like LiveRamp, InfoSum, and Habu allow advertisers to combine their customer data platform audiences with retailer purchase data in privacy-compliant environments.
These collaborations enable advanced analytics that neither party could perform independently. A brand can identify which of its email subscribers are also frequent Walmart shoppers, measure the overlap between its loyalty programme and Amazon Prime membership, or analyse how its digital advertising across channels influences in-store purchases at specific retailers. The insights generated through clean room analysis inform both retail media strategy and broader marketing decisions.
Operational Challenges and Management Complexity
Despite its compelling economics, managing retail media programmes at scale presents significant operational challenges. Each retail media network operates its own platform with unique interfaces, reporting formats, targeting taxonomies, and campaign management workflows. A CPG brand selling through Amazon, Walmart, Kroger, Target, and Instacart must manage five separate advertising platforms with five distinct sets of campaign tools, five different reporting dashboards, and five unique optimisation algorithms.
This fragmentation has created demand for retail media management platforms that aggregate campaign management across networks. Tools from Pacvue, Skai, CommerceIQ, and Intentwise provide unified interfaces for managing sponsored product campaigns across multiple retailers, enabling portfolio-level optimisation and consolidated reporting. These platforms also offer automated bidding algorithms, budget pacing controls, and performance alerting that improve efficiency at scale.
Attribution and incrementality measurement remain areas of active development. While closed-loop sales measurement represents a significant advantage over other digital channels, questions about incrementality persist. Would the consumer have purchased the product anyway without seeing the sponsored listing? Retailers are investing in incrementality testing frameworks that compare exposed and control groups to isolate the true incremental impact of retail media investment, but methodologies vary across networks and standardisation remains incomplete.
The Future of Retail Media Networks
The retail media trajectory through 2027 will be defined by standardisation, in-store digitisation, and the expansion of non-endemic advertising. Industry efforts led by the IAB and the Association of National Advertisers to standardise measurement methodologies and reporting formats across retail media networks will reduce the operational burden on brands managing campaigns across multiple retailers. In-store retail media, including digital shelf displays, checkout screens, and in-store audio, will create new inventory categories that connect the digital and physical shopping experiences. The continued growth of retail media will cement its position as the third pillar of digital advertising alongside search and social, fundamentally reshaping how marketing budgets are allocated and how brand performance is measured. AI-powered campaign optimisation will automate the management of retail media programmes across networks, adjusting bids, budgets, and creative in real time based on performance signals and competitive dynamics. The integration of retail media data with broader marketing mix models will provide a holistic view of how retail advertising contributes to overall brand performance alongside social commerce, direct-to-consumer channels, and traditional media. For brands selling through retail channels, retail media investment has transitioned from an optional experiment to a strategic imperative that directly influences market share, shelf placement negotiations, and long-term retailer relationships. The organisations that develop robust retail media capabilities today, including dedicated teams, technology infrastructure, and measurement frameworks, will be best positioned to capture value as the channel continues its rapid expansion and maturation.
