Retail media networks (RMNs) are on track to capture over $128 billion in ad spend by 2028, growing nearly 25% year over year. But behind this rapid expansion, RMNs face a challenge that could slow their momentum: they lack the complete picture of their customers.
Retailers sit on a goldmine of first-party data—loyalty programs, online purchases, and in-store transactions—but their customer view is often fragmented, incomplete, or entirely anonymous. Without a strong identity foundation, RMNs struggle to:
- Scale advertiser reach beyond logged-in users
- Seamlessly match audiences across channels (CTV, programmatic, social)
- Deliver the precise targeting and measurement that advertisers demand
The reality? Data is only valuable if it’s usable. And right now, too many RMNs are leaving value on the table.
The identity challenge: If you can’t see it, you can’t monetize it
Retailers have two types of customers:
- Known customers: Logged-in or self-identified users with purchase history and identifiable attributes.
- Unknown customers: Shoppers who browse, purchase in-store, or check out as guests—leaving behind only partial or anonymous data.
Although many retailers have a loyalty program, it’s unlikely they are capturing a full view of all of their customers, especially outside of their four walls.
When retailers don’t know their customers, they can’t effectively:
- Understand what messages will resonate with what audiences
- Extend their audiences beyond their owned platforms
- Provide advertisers with the reach and addressability they demand
- Accurately measure media performance and prove ROI
But this challenge isn’t unsolvable—it’s an identity problem, and Experian is built to fix it.
The missing link: Clean, enriched, and connected data
Assuming your data is ready to activate is a costly mistake. Too often, RMN data is messy, siloed, and incomplete, making it difficult to deliver the precision and performance advertisers expect.
Experian flips the script—helping RMNs transform fragmented signals into a complete, connected picture of their audience.
Here’s how Experian helps RMNs go from fragmented to first-class
Clean and optimize
We organize messy customer data, removing duplicates and filling in gaps.
Enrich and enhance
Our insights add depth to profiles with demographics, behavior, and purchase intent signals. For example, an RMN may know a shopper recently bought a car seat—but not that they lease a luxury SUV. That auto data is critical to securing auto ad dollars, and it’s exactly the kind of insight Experian provides.
Expand and connect
Using digital identifiers like hashed emails (HEMs), mobile ad IDs (MAIDs), and connected TV (CTV) IDs, we help extend audience reach across every channel advertisers care about.
The result? A complete and addressable audience picture that RMNs can activate confidently—on-site and off.
We partnered with one of the largest RMNs in the world to overhaul its first-party shopper data ahead of industry changes. By anchoring its data to stable digital IDs, addressability skyrocketed by nearly 300%. That’s the Experian difference—turning guesswork into confidence.
Retailers who master identity will win the RMN race
In an increasingly competitive RMN landscape, identity isn’t optional—it’s everything. Advertisers demand scale, accuracy, and measurable impact. Only RMNs with a robust identity foundation will rise above the competition.
RMNs that prioritize identity resolution and data enrichment will:
- Drive more revenue by increasing the size of their addressable audience
- Keep advertisers engaged with better targeting and measurement
- Capture RMN market share by offering scale and accuracy
Ready to transform? Experian will show you how
Fixing data inside the RMN ecosystem is just the beginning. In part two, we’ll cover:
- Why RMNs should be activating their enriched first-party data across CTV, programmatic, and social.
- Why off-site expansion is the future of maximizing revenue.
- How Experian’s data and identity solutions power off-site activation.
Experian isn’t just part of the RMN conversation. We’re driving it. Let’s talk.
Connect with our team
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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