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 89% of incremental U.S. retail media spending in 2026. 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.
Connect with us to gain a more complete understanding of your customers
Click here to view Experian’s U.S. Consumer Data Privacy Notice.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
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.
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 Samantha Zhang, Senior Data Scientist, and Jim Meyer, General Manager of the DASH TV Universe Study at the Advertising Research Foundation (ARF). DASH is an annual tracking study conducted by the ARF to define and better understand TV audience behavior and household dynamics. What does DASH measure, and how does it help the industry understand TV consumption today? By capturing hundreds of individual- and household-level data points from each respondent in a rigorous and nationally projectable sample, DASH creates a comprehensive picture of U.S. consumer TV “infrastructure” – how America watches. Core elements in DASHElements that create context in DASHTV setsLocation | brand | smartness | service modes | sources DemographicsConnected devices Game consoles |video players | streaming devicesYesterday viewing Daypart | TV/device genre | Out-of-home viewingMobile devicesOwners | sharing usersShoppingOnline and in-store | Exposure to major RMNsInternet serviceModes | ISPs | connectivity by device Streaming audio Streaming TVSVOD/AVOD tiers and sharing | FAST Email accounts and apps Live TV Modes of access | including casting from devices Social media For example, DASH gathers: Data on every TV set, including brand, room location, age, “smartness,” and connection devices and modes Household connectivity and video service data, even in homes with no TV set Internet Service Providers (ISP) and TV service usage, including Multichannel Video Programming Distributors (MVPDs), virtual vMVPDs, streamers (ad-supported and premium), and Free Ad-Supported Television (FAST) channels Person-level ownership and usage of video-capable mobile devices, including smartphones, tablets, and laptops Measures of viewing and co-viewing across dayparts, devices, and services Additional modules covering shopping and retail media networks, streaming audio, social media, email, and apps Broad coverage and granularity make DASH a uniquely robust source of truth for practitioners across the industry, including measurement experts and ad programming strategists. DASH also reports regularly (and publicly) on key industry dynamics. DASH identified a growing segment of device-only viewers – now nearly 9 million households that watch TV, but do not own a TV set – and highlighted the implications of that trend for traditional ratings systems based only on households with TV sets. Households (HHs – million)2025 HHs (M) U.S. penetrationChange vs. 2024 (M)Total US134.8100%+2.7Connected TV (CTV)114.685%+2.1TV (Set)124.292.2%+1.1Device-only8.86.6%+1.6TV-Accessible133.198.7%+2.7 DASH called out the rise in app-based pay TV and proposed a new connection framework that better represents the modern TV world, in which linear and streaming overlap. DASH also defines the universes of households reachable with advertising. This graphic, for example, shows how all ad-supported linear and streaming properties in aggregate define the true scale of TV advertising. While 35 million households (and growing) are reachable only with streaming ads and 13 million (and falling) only with linear ads, most households are reachable with both, underscoring the importance of understanding the “overlap.” Who uses DASH data, and what decisions does it help inform? There are three primary users of DASH, each with its own use cases: Measurement providers, including Nielsen, use DASH to calibrate viewership data, turn household data into persons data (and vice versa) and estimate potential reached audiences–what the providers call media-related universe estimate (MRUEs)–for the calculation of ratings. Not surprisingly, measurement companies were the first to see the value that an independent TV universe study could provide. Media companies, including major broadcasters and streamers, use DASH to add context and color to their ad sales presentations – and to track the measurement providers, whose ratings play a major role in valuing ad inventory. AdTech companies, including Experian, use DASH to create high-value audience segments for activation. The recent accreditation of DASH by the Media Rating Council (MRC) and adoption by Nielsen as an input to its TV ratings have generated interest from a broad range of companies. We are actively pursuing new licensees and partners to make DASH more useful within, and even outside, the TV ecosystem. What does MRC accreditation signify, and why is it meaningful for DASH? MRC accreditation means DASH passed a rigorous audit conducted by Ernst & Young over many months, which validated our methodology, controls, and data quality. MRC accreditation establishes that DASH is an industry-standard dataset. While the service provider normally announces its own accreditation, the MRC took the unusual step of issuing its own release on DASH, announcing the accreditation of DASH for TV universe estimation and endorsing the study for broader, cross-media use. How does Experian use DASH data to build audiences? The segments combine specific TV usage habits and behaviors from DASH with Experian data on demographics, spending, and other contextual inputs to create a fuller view of consumer viewing behavior. They are designed to be valuable to advertisers in many categories and planning contexts – and to be customizable to fit advertisers’ media targets. The segments can be used to: Apply or suppress audiences to improve target coverage across a campaign Better align media and creative Reach elusive but high-value viewers, such as Ad Avoiders Drive valuable consumer behavior Achieve specific advertising objectives What are some practical use cases for DASH-based audiences? Here are some practical use cases for four different kinds of DASH segments in five different advertiser categories. Travel Co-WatchersA couples-only resort uses TV Co-Watching Households without Children to strengthen target reach and ad memory recallA big theme park destination uses TV Co-Watching Households with Children to reach families in moments of togetherness Home Entertainment TV Owners and Brand LoyalistsA premium TV manufacturer uses the overlap of Multi Brand TV Owners and Single Brand TV Loyalist Households to market its newest TV model to its most loyal consumers. Fast Food Screen Size ViewersA fast food chain with a high-impact new brand campaign uses Large Screen TV Viewers to better align the media and creativeThat same fast food chain uses Small-Screen TV Viewers to drive store traffic by increasing exposure of its retail campaign among on-the-go viewers Financial Services Cord Cutters A personal cost management app and a cash-back credit card target Streaming-First Cord Cutter Households to reach young, tech-savvy, cost-conscious consumers Thanks for the interview. Where can readers learn more about DASH? We started work on DASH seven years ago, and it’s been fun to watch it “grow up.” Our partnership with Experian is a big step toward putting DASH to work for advertisers and agencies. To learn more, visit our site at https://theARF.org/DASH or contact us at DASH@theARF.org. Contact us About our experts Samantha Zhang, Senior Data Scientist at ARF Samantha Zhang is a Senior Data Scientist at the Advertising Research Foundation working on the DASH TV Universe Study, with additional research spanning areas including attention measurement, digital privacy, and artificial intelligence. Jim Meyer, General Manager, DASH, at ARF Jim Meyer is general manager and co-founder of the ARF DASH TV Universe Study and managing partner of Golden Square, LLC, which advises media and research technology companies on growth strategy and development. Latest posts
Reach buyers based on how they shop in a changing market. Experian Audiences help target switchers, align to budgets, and match messaging to inventory.
See how AI programmatic advertising is changing in 2026, from audience targeting to bidding and optimization.