At A Glance
First-party data for commerce media networks (CMNs) provides a direct connection to shopper behavior that advertisers value. But logged-in users and loyalty members only tell part of the story. Connecting fragmented identities and adding context beyond the observed behaviors can help CMNs turn more of the data they already own into consumer intelligence that works across media channels, while keeping their customer relationships at the center.Key takeaways
- First-party data can leave coverage gaps between the shoppers a CMN knows and the audiences it can consistently recognize and reach.
- Experian’s identity resolution and enrichment solutions help commerce media networks connect fragmented signals and add context beyond the direct customer relationship.
- CMNs can focus on closing their first-party data gaps and building a more complete view of their consumers. Our neutral approach helps them activate and measure campaigns across platforms without building separate integrations for every partner, while giving them the flexibility to work with their preferred technology and media partners.
Owning first-party data gives CMNs a strong foundation. The next step is connecting shopper data across customer relationship management (CRM), digital, and TV. Identity resolution helps CMNs link interactions across channels so they can recognize and reach consumers more consistently.
Media networks know what people browse and buy, loyalty programs create direct customer relationships, and transaction data gives advertisers a valuable connection between media and commerce. But logged-in and loyalty data rarely represent every shopper interaction. CMNs need to connect these signals to build a more complete view of their consumers and put that insight into action.
A shopper might research a product anonymously on mobile, buy it in-store without using a loyalty account, and then return using a different email address. By connecting these interactions, CMNs can build a more complete view of their consumers and better understand how shoppers engage across channels.
Multiply that across millions of interactions, and the challenge grows. Guest transactions can sit outside loyalty profiles, identifiers change, and shoppers move between stores, websites, apps, and devices. A CMN may have plenty of first-party data and still see only part of its audience.
The addressability gap starts inside the data
CMNs face an addressability gap when disconnected shopper data limits their ability to recognize and reach consumers beyond their own properties. Connecting loyalty profiles, transactions, and digital identifiers helps CMNs extend their reach across connected TV (CTV), social, and programmatic media.
Market concentration makes that challenge more pressing. Amazon and Walmart will capture more than 81% of U.S. off-site retail media ad spending in 2027. Their large logged-in audiences and extensive commerce data give them an advantage. Other CMNs can compete by making better use of the shopper data they already have.
Identity resolution helps CMNs close the addressability gap by connecting logins, devices, email addresses, and transactions to consistent consumer and household identities. This helps CMNs recognize shoppers across channels and reach more of their audience.
Our neutral infrastructure helps CMNs use that identity foundation across their preferred technology and media partners. They can build on existing investments, strengthen cross-platform addressability, and maintain flexibility without relying on a single provider.
A transaction tells you what happened, not the whole story
CMNs can build more valuable audiences for advertisers by enriching their first-party shopper data with deeper consumer insights. This helps them improve audience segmentation, strengthen their advertising offerings, and create more opportunities to generate revenue.
Purchase data reveals what shoppers buy, but it doesn’t always explain who they are or what else matters to them. A retailer may know that someone buys organic groceries every week or recently purchased paint and power tools. Two shoppers who bought the same product may represent very different audiences for advertisers.
Experian’s Enrichment capabilities help CMNs look beyond transactions by appending demographic and behavioral attributes from Experian Marketing Data to their first-party shopper data. These additional insights help CMNs refine segmentation, inform modeling, and create more relevant audiences for advertisers. With richer consumer insights, CMNs can turn transaction data into more valuable advertising offerings, helping them create new revenue opportunities while maintaining their direct shopper relationships.
Keep first-party data connected across media
CMNs can get more value from their first-party data by keeping consumer identities and audience definitions consistent across media channels. Connecting shopper signals and adding consumer context helps them build audiences they can activate, collaborate with advertisers, and measure across platforms.
Keeping audiences consistent across media channels can be challenging as CMNs move between platforms and partners. Audiences can lose scale when they reach another environment, and differences in how partners recognize consumers can create gaps in activation and measurement.
Our neutral infrastructure helps CMNs keep their first-party data connected across their preferred technology and media partners. They can maintain control over their data and identity, build on existing investments, and avoid relying on a single provider.
Experian helps CMNs strengthen their first-party data foundation for use across existing systems and media channels. With our identity resolution and offline identity append capabilities, CMNs can share first-party data with us to connect disparate records to individuals and households and add missing offline identifiers. We then return the data so CMNs can use it across their existing systems and preferred partners.
By keeping first-party data connected across media, CMNs can extend the value of their shopper relationships, support advertiser campaigns, and make better use of their existing technology investments.
More addressable data creates more places to grow
Connecting shopper data across media helps CMNs expand their addressable audiences and create more advertising opportunities.
A more complete, addressable audience can give advertisers more ways to use first-party data that makes a CMN distinct. It can help networks extend those audiences beyond owned-and-operated properties into CTV, social, programmatic, and other environments where shoppers spend their time.
CMNs can build on their existing technology investments by improving the quality and consistency of their first-party data. With a stronger identity foundation, they can better understand their customers, activate audiences across channels, and measure campaign outcomes.
CMNs can strengthen their advertising offerings by turning more of their existing shopper data into audiences advertisers can reach across channels. By recognizing more consumers across channels and building more relevant audiences, they can create additional media opportunities for advertisers while keeping their first-party data at the center of their business.
Our neutral infrastructure helps CMNs extend the value of their first-party data across media environments while maintaining control over their customer relationships, technology investments, and partner choices.
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About the author
Colleen Dawe
VP, Advertiser Partnerships
Colleen Dawe is VP, Advertiser Partnerships at Experian Marketing Services, where she oversees revenue growth and client success, helping advertisers harness data and identity to fuel marketing strategies. With over 15 years of experience spanning TV and digital media, she brings deep expertise in data, identity, activation, and measurement to help her clients connect innovation with business outcomes.
FAQs
The first-party data gap for CMNs is the difference between the shopper data a CMN owns and the first-party data it can consistently connect and use. Anonymous interactions, disconnected identifiers, and incomplete customer records can leave part of the shopper relationship outside a CMN’s addressable audience.
CMNs can use identity resolution to connect fragmented shopper signals and enrichment to add relevant context beyond the direct customer relationship. Neutral infrastructure helps them put that consumer intelligence to work across activation and measurement, using their existing technology and preferred partners to extend reach and improve outcomes.
Neutral infrastructure gives CMNs greater control over how they use their customer data and identity across platforms, partners, and channels. Neutral infrastructure that integrates with existing workflows can help a network expand addressability, preserve choice, and adapt its media strategy without rebuilding its customer data foundation whenever its needs change.
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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. 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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. Our data engine, built on a foundation of approximately 100 million consumer profiles and over 10 billion full-funnel, real-time shopping events, enables the creation of precise audience segments. This real-time 1st-party shopper data is invaluable for partners aiming to understand and engage with consumers more effectively. Whether a brand wants to activate past shoppers in a specific category or reach new audiences with a propensity to buy, Kontext provides the insights needed to make informed decisions. Some examples of audience types include these (and hundreds more): In-Market Shoppers: Consumers showing high intent to purchase specific categories, like skincare or electronics, based on recent online behavior. Past Purchasers: Shoppers who have made verified purchases within specific time frames, such as beauty products in the last 18 months. Frequent Shoppers: High-frequency buyers identified through repeated purchasing behaviors. 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