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Digital advertising experienced a transformative shift in 2023, with retail media networks emerging as a focal point for advertisers seeking precision and efficacy. These networks defined how brands connect with consumers, utilizing the unique environment of digital storefronts to deliver targeted and personalized advertisements. Below, we’ll discuss the diverse landscape of retail media networks, examples of these platforms, and how Experian is at the forefront of empowering advertisers within this evolving marketing ecosystem.
What are retail media networks?
A retail media network (RMN) is an advertising platform retailers use in their digital storefronts or online platforms. It lets brands and advertisers promote their products or services directly within the retail environment where consumers make purchasing decisions. Unlike traditional advertising channels, RMNs use the retailer’s first-party data to offer targeted and personalized advertising experiences.
How important is it to advertise with RMNs?
RMNs offer advertisers a unique advantage — a rich set of first-party data on consumers, both on and off the platform. On-platform data includes user engagement insights, demographic information, and behavioral patterns. RMNs offer off-platform first-party data, such as cross-channel integration and CRM data integration. This data is especially important as the industry sees a shift away from the reliance on third-party cookies.
One of the key challenges brands face is the lack of tracking abilities through the customer journey. However, the closed-loop measurement and attribution capabilities within RMNs help advertisers track the entire consumer journey, linking campaign spend directly to final sales and in-store purchases. The precision and accountability offered by RMNs make them a crucial strategy in the ever-evolving world of digital advertising.
Trends with big RMNs
Here is a list of retail media networks and their performance in 2023. The information below offers insights into their reach and effectiveness in driving sales and brand visibility.
Amazon
According to Pacvue’s Q4 guide, Amazon Media Network experienced a year-over-year decline in its daily spend. However, a notable quarterly increase of 3.2% suggests a recent expansion in this ad type. The current average CPC for Amazon-sponsored products is $1.21, marking a substantial 7.1% year-over-year increase. Return on ad spend (ROAS) showed a 1.5% year-over-year decrease but increased by 6.1% quarter-over-quarter, potentially caused by more efficient campaigns. The beauty category showed a particularly strong performance with a remarkable 69.4% year-over-year increase.
Walmart
Walmart’s advertising revenues are surging at a rate twice that of Amazon, according to the Pacvue Q4 report. This quarter, the Walmart Media Network experienced a substantial 40% boost in ROAS, now at $6.93. This advancement can be attributed to strategic adjustments in the algorithm and bid rules and the incorporation of new bid features. Walmart’s CPC also witnessed a noteworthy 18.3% year-over-year decrease and a 14.5% year-over-year surge in average ad spend. Walmart’s growth trajectory emphasizes the shift in consumer behavior toward product discovery, as many consumers research products on the website before purchasing.
Kroger
Kroger developed an advanced retail media network that launched in October 2023. Their platform offers advertisers a more streamlined way to activate, measure, and optimize their campaigns, leading to improved advertising performance. The self-serve advertising platform lets advertisers promote products across the Kroger family of brands. Kroger is the biggest grocery chain in the country with a strong first-party shopper data set, providing more advanced audience targeting than many other grocery RMNs.
Target
Target launched its retail media network, Roundel, in 2016 to enhance the connection between brands and guests through curated media experiences. Roundel uses Target’s rich insights to create personalized advertising campaigns, reaching guests across several platforms and premium publishers. Over the past two years, Roundel has experienced over 60% growth, delivering over one billion in value for Target in 2021 and 2022. With a team of over 500 members, the platform differentiates itself by offering easy-to-use advertising solutions to brands of all sizes. Target plans to launch Roundel Media Studio, a self-service buying tool, in early 2024.
Marriott
In partnership with Yahoo, Marriott has created a travel media network that lets advertisers target consumers based on the hotel chain’s guest data. This collaboration allows ads to be strategically placed on various platforms, including the hotel’s websites. Marriott Media Network’s rollout will start on mobile platforms similar to traditional RMNs. Over time, it will extend to include ad placements on TV screens in guest rooms, Wi-Fi portals, and various digital screens in other areas, like lobbies and bars. This innovative approach in the hotel industry offers marketers diverse opportunities to reach their target audience.
Nordstrom
Nordstrom Media Network has shown considerable success, generating over $40 million in revenue and collaborating with several brand partners. Introduced in 2019, this network initially experimented with off-site campaigns and later expanded to on-site sponsored ads in 2021. Nordstrom Media Network offers data from 32 million customers and digital properties with nearly two billion annual visits. The network’s focus on personalizing the customer experience helps it stand out in the competitive retail media space and makes it a valuable player in the evolving digital advertising landscape.
CVS
With CVS Media Exchange, advertisers have access to a data set of 74+ million customers. This platform creates tailored campaigns for companies, helping their ads reach customers at the most critical points in their shopping journey. With options like display, video, audio, social, and in-store ad options, advertisers are seeing increases in product purchases and brand awareness.
Instacart
Instacart has a retail media network through its own platform and a tool called Carrot Ads, which helps grocery store chains develop RMNs through Instacart. It has a network of over 1,400 retail brands, helping advertisers reach their target audience. Advertisers have access to insights and automation to create relevant ads and track their progress.
Companies like Sprouts are using Carrot Ads to create and grow their own RMNs. Together, Instacart and Sprouts offer brands a unique opportunity by facilitating targeted online campaigns on Sprouts’ website. This collaboration provides access to metrics like sales and ROAS, offering a comprehensive view of campaign performance.
DoorDash
DoorDash offers a comprehensive suite of advertising tools for restaurants and brands to expand their reach on the DoorDash marketplace. This flexible advertising platform extends across diverse categories, like restaurants, grocery, convenience, alcohol, and more. The platform has demonstrated success with an average return on ad spend of 4.1x from sponsored product campaigns and an average of 70% new-to-brand customers.
Reasons behind these trends
The surge in advertising trends within RMNs can be attributed to several critical factors, including the following:
Rising retail media competition
The competitive landscape within the retail world has intensified, with major players competing for a larger share of the advertising pie within their respective RMNs. This surge in competition among retailers like Lowe’s One Roof, Sprouts, 84.51, and Albertson’s Media Collective has led to a continual evolution of features and capabilities. Advertisers benefit from this competitive spirit because it drives innovation and offers enhanced tools and opportunities to refine their advertising strategies. The competitive edge creates an environment where RMNs continually improve and adapt to meet the needs of both advertisers and consumers.
Third-party cookie deprecation
Major web browsers are getting rid of third-party cookies, so advertisers must reevaluate their targeting and tracking strategies. Because of this, the first-party stronghold of RMNs is particularly valuable. Advertisers can rely on their reservoir of first-party data with RMNs to maintain effective audience targeting and measurement capabilities. The emphasis on first-party data aligns with advertisers’ needs in the post-cookie era, making RMNs crucial partners in the pursuit of effective and privacy-conscious advertising solutions.
Crafting your RMN ad strategy
Crafting an effective RMN ad strategy is a multifaceted process that involves careful planning. You start with clean, scaled, and scoped data, then everything waterfalls from there. When done correctly, you reach the right audience, your ROAS/ROI results improve, your marketing spend is more effective, and your advertisers want to spend more with your RMN. Here are steps to consider when developing your RMN ad strategy.
Choose the best RMN partner for your needs
Selecting the right partner is a critical first step. Ensure your partner seamlessly integrates with your existing MarTech stack, avoiding any additional workload for your existing team. A symbiotic relationship with your RMN partner enhances collaboration and streamlines your advertising initiatives.
Experian’s comprehensive data and identity solutions can help RMNs maximize their opportunity, with our new solution tailored to enhance RMNs’ strength in first-party shopper data. Experian’s solution helps RMNs unlock expanded customer insights, enriched audiences for activation, identity resolution for cross-channel audience targeting, and real-time measurement and attribution. This comprehensive solution is designed to help RMNs capture more advertising revenue. Our goal is to ensure you capture the most advertising dollars and make your RMN operate at its peak performance.
Utilize third-party data
One of the cornerstones of an effective RMN strategy is the integration of third-party data. This is where Experian steps in as a critical ally. Experian’s robust third-party data solutions can enhance an RMN’s first-party data to create more scale and scope for RMN audiences. This, in turn, will open up more opportunities for advertiser investment.
Utilize first-party data
The main advantage of RMNs is the access to first-party data. Advertisers can use this data to create personalized and targeted campaigns. By tailoring your messages based on consumer expectations, preferences, behaviors, and purchase history, you create a more engaging and relevant ad experience. This not only boosts the effectiveness of your campaigns but also fosters a deeper connection between your brand and the audience.
Promote relevant products
Personalized ads are crucial for capturing audience attention and driving conversions. With retail media platforms, advertisers can personalize their campaigns to individual shoppers. Promoting products that align with your audience’s specific needs and preferences increases the likelihood of conversions.
Consider the consumer journey
Strategic ad placement within the consumer journey is pivotal. Consider targeting consumers late in the decision-making process when they’re in a shopping mindset. Placing ads at this point in the customer journey increases the chance of converting prospects into customers. Understanding the customer journey within an RMN system allows for a more targeted and impactful advertising strategy.
Measure data and adapt
The final step in the process is continuous measurement and adaptation. Retail media platforms include powerful analytics tools that let advertisers track and analyze ad performance in real time. Use these insights to adapt your strategy. A data-driven approach ensures your campaign remains responsive to the changing marketing dynamics.
Elevate your advertising strategy with Experian
Transform your advertising strategy with Experian’s cutting-edge Consumer View solutions. These advanced tools excel in audience segmentation and easily integrate your first-party data with our comprehensive third-party insights. This ensures the seamless activation of your data across online and offline channels. Experian also has custom audiences and audiences that are available on-the-shelf of most major platforms. This and our onboarding capabilities make Experian the perfect partner for your RMN strategy.
Connect with a member of our team today to take the next step in elevating your advertising campaigns.
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Why an identity framework matters more than any single identifier The challenge facing marketers today isn’t a single identifier on a deprecation timeline. It’s the increasing fragmentation of signals and identifiers across browsers, devices, apps, and platforms. This shift introduces complexity into how audiences are reached and measured, as signals behave differently in every environment, and it becomes more complex to piece together a complete view of the consumer. Each environment contributes to its own set of visibility gaps, making identity less predictable and more uneven. The result is a patchwork of inconsistent identity signals rather than a single, predictable decline. While you can’t control how platforms evolve, you can control how you respond to fragmentation. The future won’t be defined by the loss of any single identifier, but by your ability to unify, interpret, and activate the many signals that remain. Marketers who adopt a flexible, identity framework will be best positioned to create consistency in an otherwise fragmented landscape. At Experian, we believe flexibility starts with intelligence. For decades, we’ve used AI and machine learning to help marketers understand people’s behavior more clearly, respect their privacy, and deliver messages that drive business outcomes. Our technology brings identity, insight, and intelligence together, so even as the number of signals grows and becomes more varied across environments, marketers can reach the right people with relevance, respect, and simplicity. This intelligence acts as the connective tissue across fragmented ecosystems, ensuring marketers can recognize and reach audiences consistently wherever they appear. What forces are driving fragmentation in identity and signals? Changes to traditional IDs: Since Apple introduced ATT, access to IDFA has become inconsistent across apps and devices. Google’s evolving Android privacy roadmap adds another layer of variability, fragmenting mobile addressability. Safari and Firefox have long restricted third-party cookies, while Chrome continues to support them for now. This creates different signal availability across browsers, contributing to an uneven and increasingly fragmented identity landscape on the open web. Shifts in signals: IPv4 to IPv6 migration introduces mismatched identity structures that complicate continuity across environments. Platform-driven fragmentation: Closed ecosystems and uneven adoption of evolving RTB standards (like OpenRTB 2.6 updates designed to support new identifiers and consent signals) create differences in which identifiers and consent signals are shared in the bidstream. At the same time, the rise of alternative or “universal” IDs—often developed by individual platforms, publishers, or technology companies—means that multiple ID types can appear within the same auction, each with its own structure, rules, and level of support. These differences reduce interoperability across platforms and contribute to a more fragmented activation landscape. Each change creates an identity silo. Together, they form an ecosystem defined by fragmentation rather than absence. Without an identity framework, these environments operate as disconnected identity islands. A multi-ID world requires a unified identity framework Alternative IDs play an important role, but they also expand the number of signals marketers must reconcile. Without a consistent identity layer, more IDs often mean more complexity—not more clarity. Common alternative IDs in use today: UID2: The Trade Desk’s UID 2.0, an iteration of their original Unified ID 1.0, which was still reliant on third-party cookies, creates persistent IDs with user-provided email addresses and phone numbers. ID5: This independent identity provider builds an identity infrastructure that powers addressable advertising across channels. It can create an ID based on both deterministic and probabilistic data. Hadron ID: Hadron ID is a unique, interoperable identity system (including first-party, audience-based, contextual, deterministic, and probabilistic) developed by Audigent, now part of Experian, to drive revenue for publishers by making their audience data and inventory actionable for media buyers. Industry reports suggest roughly one-third to two-fifths of open-auction traffic carries alternative IDs, sometimes multiple per request. Among Experian clients, adoption of alternative IDs rose 50% year over year, with a 30% increase in IDs resolved to individuals via our Digital Graph. Identity isn’t disappearing; it’s multiplying. A modern identity framework resolves these identifiers into a single, privacy-safe consumer view.
Year after year, CES signals where marketing is headed next. In 2026, the message was clear. Progress comes from connecting data, intelligence, and outcomes with discipline, not spectacle. Across AI, programmatic media, and measurement, the same priorities surfaced again and again. Under the bright lights of Las Vegas, three themes cut through, and each one pointed to a future where data, intelligence, and outcomes move in lockstep. Here are the three themes that defined CES 2026. 1. Agentic AI proved that it’s only as good as its data inputs AI was once again the star of the show. At CES 2026, marketers focused less on demos and more on proof that AI improves decisions, reduces friction, and drives outcomes. Every credible use case traced back to accurate, privacy-first data. What changed at CES was how that intelligence is being applied. Agentic AI systems designed to act autonomously are moving beyond insights and into execution. From media buying to optimization, these agents are increasingly expected to make decisions at speed and scale. That shift raises the stakes for data quality. When AI is operating campaigns, not just informing them, accuracy and privacy are non-negotiable. Without accurate, privacy compliant data, AI agents struggle to reflect real behavior or support responsible personalization. A reliable, privacy-first data foundation is what turns AI from an interesting experiment into an operational advantage. That advantage gets even stronger when it’s anchored in an identity graph that understands people and households across channels. When identity and intelligence move together, AI becomes more accurate, accountable, and effective at driving outcomes. In an AI first world, the strongest signal isn't scale. It's data quality. 2. Curation goes mainstream Curation is no longer experimental. At CES, it showed up as an mandated capability for buyers and sellers navigating fragmented signals and complex supply paths. Marketers want intentional media buys they can explain, defend, and repeat. AI is accelerating this shift. As AI systems take on more responsibility for planning, packaging, and optimization, curation provides the guardrails. It defines what “good” looks like (premium supply, trusted data, and clear performance goals), and allows AI to operate within those constraints driving the optimal outcomes for marketers. Rather than maximizing inventory access, curation prioritizes control, transparency, and performance. Buyers want premium supply aligned to specific goals. Sellers want clearer paths to demand. They can play the odds or own the outcome. When data leads, they own it. When curation is powered by high-fidelity audiences and a connected identity framework, it becomes even stronger. That’s what allows curated deals to deliver clarity, confidence, and repeatable performance. This shift reflects a broader move away from probability-based buying toward outcome ownership, where AI-driven systems are measured not on activity, but on results. 3. Activation and measurement finally shared the same stage Activation and measurement are now coming together around shared data and identity. CES 2026 marked a turning point where closing the loop felt achievable, not aspirational. Both the buy- and sell-sides face pressure to show that media investment drives outcomes. Agentic AI was a quiet driver of this optimism. As AI agents increasingly manage activation decisions in real time, marketers need measurement systems that can keep up. That requires a shared data and identity foundation. One that allows AI-driven actions to be evaluated against outcomes consistently, across channels and partners. "The companies leading in alternative data aren't just optimizing for growth, they're setting a new standard for inclusion, precision and responsible lending." – Ashley Knight, SVP of Product Management, Experian Achieving that requires a consistent identity spine that connects planning, activation, and outcomes across channels. And that spine is strongest when it’s built on accurate, privacy-first data and audiences that understand people and households. That connection allows marketers to move beyond proxy metrics and evaluate performance based on tangible results. When campaigns and measurement rely on the same data foundation, AI driven platforms can optimize toward outcomes such as new customers, account growth, or in-store activity, not just delivery metrics. That’s the connective layer that turns disconnected touchpoints into a measurable, outcomes-based system. The takeaway CES made one thing clear: agentic AI is moving marketing from intention to execution. But only for teams with the right foundation. AI is maturing, but only for teams with accurate, connected, privacy-first data that AI agents can act on responsibly. Curation is scaling, giving both humans and AI systems clearer paths to quality, control, and differentiation. Activation and measurement are aligning, allowing AI-driven decisions to be judged on outcomes, not assumptions. We’re building for that world today. One where agentic AI operates on a trusted data and identity foundation, curation defines the rules, and outcomes determine success. With the right foundation and the deep data inputs, you can move faster, reduce risk, and let intelligence (human and artificial) work together to deliver results that last long after the neon lights fade.