In this article…
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, withour new solutiontailored 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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In our Ask the Expert Series, we interview leaders from our partner organizations who are helping to lead their brands to new heights in ad tech. Today’s interview is with Jordan Feivelson, VP, Digital Audiences at Webbula. Jordan is a 22-year advertising industry veteran who has worked for media properties such as WebMD and Disney. Over the past ten years, he has transitioned to the data and programmatic space, including growing the data business for Kantar Shopcom and Adstra. What types of advertisers might benefit from utilizing Webbula audiences across various verticals? Can you provide examples of how different industries successfully leverage your data to achieve specific campaign goals? Most advertisers can leverage Webbula’s award-winning attributes for their activation initiatives. Webbula offers approximately 3,000 syndicated segments covering categories such as Demographics, Automotive, Political, Mortgage, B2B, Hobby/Interest/Lifestyle, and Interests & Brand Preferences (brand name targeting). Audience insights and marketing strategies What specific types of audience segments does Webbula provide? How can advertisers leverage these segments to craft more effective, personalized marketing strategies? Webbula has incredible depth and breadth within its verticals, giving marketers the tools to deliver targeted messaging effectively. Our Demographic, B2B, Mortgage, Automotive, and Interest and Brand Preferences segments each contain 500-1,000 segments, all built on deterministic, self-reported, and individually linked data. We ensure the best accuracy with multiple deterministic data points tied to the real world (ex., first name, last name, postal address, and email address). Some examples of our unique syndicated audience types: B2B: A view of the latest industry trends with detailed cuts of the professional world, such as companies with and not within the Fortune 500 companies and job positions that are directors and below. This also includes custom capabilities, including ABM (list of target companies in an activation campaign or by industry code (ex. NAICS, SIC). Interest and Brand Preferences: Consumers who have shown interest and affinity to hundreds of brands (ex., Nike), genres (ex., comedy, hip hop), sports teams, and more. Mortgage: A detailed view of homebuyers’ purchase range, loan type (ex. jumbo loan, standard loan), mortgage amount, interest rate, and more. With Webbula’s audience data, brands can create a comprehensive picture of their audiences down to the individual level and reach them accurately. Data quality, sourcing, and differentiation How is consumer data sourced and curated at Webbula? Are there data quality standards that Webbula establishes for consumer data, and how do you ensure your sources and methods meet these standards consistently? Webbula’s data is aggregated from over 110 trusted and authenticated sources, including publishers, data partners, social media, and more. The data collected comes directly from consumers who self-report information through surveys and other methods. We apply our hygiene filters to mitigate fraud and accurately score the data. Data Collection: The data collected comes directly from consumers who self-report information through surveys, questionnaires, transactions, and sign-ups. This ensures that brands display ads to audiences based on self-identified, cross-channel behaviors, not modeled assumptions. Hygiene Solutions: Webbula applies multi-method hygiene solutions to mitigate fraud and accurately score the data before onboarding, ensuring that all data meets the highest quality standards. Examples of Data Sources: Questionnaires: Self-reported data through surveys, offer submissions, and telemarketing. Transactions: Deterministic data from aftermarket parts, online purchases or services, and more. Sign-ups: Individually linked data from information entered through sweepstakes, infomercials, newsletters, and forms. What differentiates Webbula's data from other data providers in the market? Can you explain the unique value proposition that Webbula offers in terms of data depth and breadth? Due to our extensive experience in data cleansing, we provide the most accurate data within the programmatic ecosystem. TruthSet, the leading programmatic accuracy measurement company, has ranked Webbula as having the highest number of top attributes compared to other data providers with 150M+ HEMs. Additionally, Publicis Groupe and Neutronian further validate Webbula's data quality, underscoring its position as a leader in the industry. Webbula's data stands out in the market due to its unmatched accuracy and quality, achieved through years of expertise in data cleansing. Unlike other providers, Webbula’s foundation lies in its robust email hygiene process, ensuring that all data entering the programmatic ecosystem is thoroughly cleansed. Privacy, compliance, and future-proofing What measures does Webbula take to maintain data privacy and compliance? How do these efforts benefit advertisers in an evolving regulatory landscape and ensure ethical standards? Webbula was created over a decade ago with a future-proof, privacy-compliant foundation. We understand the industry’s rapid changes, including government and state legislation and cookie depreciation. Our goal has always been to build long-term partnerships and ensure we are prepared for industry changes. We rely on validated offline data sources, making us resilient to external influences. Success stories Can you share success stories where advertisers saw significant campaign improvements using Webbula’s data? What were the key factors that contributed to these successes? Our success is measured by client feedback and increased client spend. Webbula has helped several key advertisers achieve six-figure monthly thresholds by providing the most accurate data to meet campaign KPIs. Clients consistently return to use our data, validating our belief that “the proof is in the pudding.” Thanks for the interview. Any recommendations for our readers if they want to learn more? For those interested in learning more about Webbula, reach out for a personalized consultation. Contact us Latest posts
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Download our 2024 report In this blog post, we cover three insights from our report. Watch our video for a recap below. 1. Consumers are shopping evenly throughout the holiday season 35% of holiday shopping was done in December, peaking at 9% of total holiday sales the week before Christmas. Cyber Week, the five-day period between Thanksgiving and Cyber Monday, and the week before Christmas brought the highest weekly sales for the past two holiday seasons. What this means for marketers Prepare for an extended promotional period. Schedule your marketing campaigns and sales initiatives to maximize impact during the extended season, focusing on the peaks of Cyber Week and the week before Christmas. How Experian can help you target these shoppers Experian's data, ranked #1 in accuracy by Truthset, offers advertisers the ability to reach people based on demographic, geographic, and behavioral attributes (e.g. websites visited and purchase history). Our audiences are available on-the-shelf of most major platforms, making it easy for you to activate and target holiday shoppers. We recently released 19 new holiday-focused audience segments. Here are a few you can activate: Black Friday Shoppers Cyber Monday Shoppers Big Box/Club Store Shoppers Luxury Gift Shoppers Discount Holiday Shoppers Holiday Airline Travel 2. Online shopping is leveling out Online holiday spending continues to remain around a third of all holiday shopping spending. We are starting to see online shopping slow and level out – people are going back in-store. The high amount of online shopping we saw during the pandemic is starting to return to pre-pandemic behaviors. 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Download our 2025 Holiday spending trends and insights report This holiday season is about more than just transactions – it’s about cultivating meaningful connections with your audience. Download our 2025 Holiday spending trends and insights report, in collaboration with GroundTruth, to access all of our predictions for this year's holiday season. Download now When you work with Experian for your holiday shopping campaigns, you're getting: Accurate consumer insights: Better understand your customers' behavioral and demographic attributes with our #1 ranked data covering the full U.S. population. Signal-agnostic identity solutions: Our deep understanding of people in the offline and digital worlds provides you a persistent linkage of personally identifiable information (PII) data and digital IDs, ensuring you accurate cross-device targeting, addressability and measurement. Secure connectivity: Bring data and identity to life in a way that meets your needs by securely sharing data between partners, utilizing the integrations we have across the ecosystem, and using our marketing data in flexible ways. Make the most of this holiday shopping season with Experian. Contact us today to get started. Contact us Latest posts
In our Ask the Expert Series, we interview leaders from our partner organizations who are helping lead their brands to new heights in adtech. Today’s interview is with Georgia Campbell, Head of Strategic Partnerships at Kontext. What types of audiences does Kontext provide, and what are some top use cases for these insights in marketing strategies? Kontext leverages its 1st-party, deterministic shopping data to generate real-time online audiences. What sets Kontext apart is our ability to see the entire consumer journey, from shopping interest to intent and purchases, at a SKU-level. This comprehensive visibility allows us to create purchase-based audiences across various consumer verticals, such as frequent online shoppers, consumers shopping for beauty, segments using Mastercard, or Black Friday enthusiasts. 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Seasonal Shoppers: Consumers active during key shopping seasons, like Black Friday, Mother’s Day, Valentine's Day, etc Premium Buyers: Shoppers who used a premium CC (eg. Amex) and a higher AOV (average order value) Beauty Buyers: an audience that has indicated intent to purchase beauty products (deterministic past purchasers also avail) By using Kontext data, brands can identify the right audiences across multiple verticals, such as retail, CPG, health & wellness, auto, business, energy & utility, financial, and travel. Additionally, our collaboration with Experian allows further refinement of these audiences through layered data from specialty categories like demographics, lifestyle & interests, mobile location, and TV viewing habits. How is Kontext’s data sourced, and what differentiates it from other data providers? Kontext’s data is unique because it is deterministic, 1st-party, and collected as transactions occur. We capture the entire path-to-purchase, down to the SKU-level product detail, across 100 million consumer profiles and more than 10 billion real-time shopping events. Our proprietary technology, embedded in widgets across our 5 million premium online destinations, tracks the full consumer journey—from reading an article of interest to clicking on our dynamic commerce modules, adding items to cart, and completing purchases. This real-time data collection ensures there is no lag between digital events and their connection to consumer profiles. Unlike other providers, we do not aggregate data from multiple platforms; instead, we focus on building our models and insights based on authentic online consumer behavior. Our data stands out due to its: Deterministic Nature: We capture 1st-party data as transactions occur (all in real time) Full-Funnel Coverage: We capture consumer journeys from awareness to purchase, providing a complete view of consumer behavior. Real-Time Insights: Our data engine processes events in real-time, enabling timely and relevant marketing actions. How does Kontext ensure the accuracy and reliability of its audience data? Kontext ensures accuracy and reliability through our unique technology and direct data sourcing. By not aggregating data from other platforms, we maintain control over the quality and integrity of our insights. Our continuous investment in refining our models around online consumer behavior further enhances the precision of our audience data. What types of brands or verticals might resonate the most with Kontext audiences for activation? Any brand looking to understand and activate online shopping behavior – informed by 1st-party transaction data – will resonate with Kontext audiences. Essentially, any vertical that benefits from understanding real-time shopping behaviors, such as retail, health & wellness, auto, and financial services, will find our data invaluable. We have particularly strong insights in beauty, hair care, health & wellness, and values-based online shopping habits, as well as the food & beverage space. Retail & Consumer Goods: Leveraging shopping behavior data for targeted campaigns. Health & Wellness: Identifying consumers with specific health and wellness interests. Automotive: Targeting potential buyers of electric vehicles or eco-friendly products. Financial Services: Engaging high-value shoppers with premium credit card usage. And many more How does Kontext’s data help advertisers navigate the challenges posed by the deprecation of third-party cookies? As third-party cookies become less reliable, Kontext’s 1st-party data becomes invaluable. Our deterministic data engine, which does not rely on cookies, offers: Direct Consumer Insights: Accurate and consented data directly from consumer interactions. Privacy Compliance: Our data collection methods are fully compliant with privacy regulations, ensuring secure usage. Cross-Device Coverage: We use verified digital identifiers, allowing seamless unification and targeting across multiple devices. What measures does Kontext take to maintain data privacy and compliance, and how does this benefit advertisers? Data privacy and compliance are fundamental to Kontext. We meet or exceed all privacy compliance and security standards, ensuring that our data sourcing and usage are transparent and comply with regulations (CCPA, CPRA, VCDPA, etc). Kontext prioritizes data privacy and compliance through: Consented Data Collection: All data is collected with explicit consumer consent. Robust Security Protocols: Data is encrypted and secured with industry-leading practices. Compliance with Regulations: We adhere to global privacy laws, including GDPR and CCPA. User Control: Consumers have the ability to opt-out and manage their data preferences. Can you share success stories / use-cases where advertisers significantly improved their campaigns using Kontext’s data? To give you a sense of how Kontext data can be applied, here are two use-cases: Beauty Brand Campaign: An agency hoping to activate an audience of beauty purchasers for a Major Beauty Brand could utilize Kontext's custom audience of high-value beauty product purchasers. By targeting those consumers who had bought similar products in the last 12 months and had an average cart size of over $50, the campaign would significantly increase performance and ROAS. Electric Vehicle Launch: For a major auto manufacturer’s EV launch, Kontext could be used to identify eco-friendly consumers who had not yet purchased an EV but had shown interest in sustainable products. This precise targeting could lead to higher engagement and conversion rates for the campaign. Thanks for the interview. Any recommendations for our readers if they want to learn more? For those interested in learning more about Kontext, reach out for a personalized consultation. Contact us About our expert Georgia Campbell, Head of Strategic Partnerships, Kontext In her current role as Head of Strategic Partnerships at Kontext, Georgia plays a pivotal role in shaping the company's strategic direction within the data space. With a deep-seated expertise in leveraging data to drive impact for companies, Georgia has been forging key partnerships that enhance the effectiveness and reach of Kontext's offerings. Georgia comes from a background in emerging technology, where she has been focused on cultivating partnerships and employing data-driven approaches to spearhead market expansion efforts. She started her career in finance, managing investments across equity, debt, and alternative assets at Brown Advisory. In this Q&A, Georgia shares her insights on Kontext's Onboarding partnership with Experian, offering perspective on how Kontext's unique insights can unlock new opportunities for advertisers and brands alike. Latest posts