Key takeaways
- U.S. retail media ad spend is on track to reach $71.09 billion in 2026, creating more opportunities for CMNs to grow beyond the on-site inventory they own.
- Off-site social and connected TV (CTV) spend are outpacing on-site growth, proving the market is strong for CMNs that extend their first-party data across channels they don’t own.
- CMNs can extend the value of their shopper relationships beyond owned-and-operated (O&O) inventory by strengthening first-party data, building scalable audiences, expanding off-site activation, and connecting data with media through curation.
Amazon and Walmart command much of the market, but billions in retail media spend remain available to other networks. While the other 277 CMNs operating globally may not compete on scale, the playing field is level for using their data off-site.
The opportunity isn’t tied to any one capability. CMNs need infrastructure that connects first-party data and identity to activation and measurement, so they can extend the value of their shopper relationships beyond the data and inventory they own.
What CMNs need to know about moving off-site
O&O placements still offer stronger margins. On-site ad margins can reach 70-90%, compared with 20-40% off-site. But CMNs can sell only so much media across the properties they own. Moving off-site gives them another way to create media opportunities from their first-party shopper data.
Off-site commerce media uses a CMN’s first-party audience data to reach shoppers beyond the network’s O&O properties. That can include social, programmatic, CTV, and other media environments. Commerce media powered social ad spend is projected to reach $7.76 billion in the U.S. in 2026, with CTV close behind at $6.10 billion. For CMNs, that means the value of their shopper relationships doesn’t have to stop at the edge of their owned inventory.
Off-site media can bring those opportunities closer to the physical point of sale, too. Digital screens in places such as gas stations and convenience stores give CMNs another way to connect with shoppers near moments of purchase. Some of this inventory can be available programmatically, connecting these physical environments with a CMN’s broader off-site media strategy.
The infrastructure question: What off-site actually requires
When CMNs make their data available across the open web, CTV, or social media, their first-party signals need to connect with the identifiers used across those environments. Without that connection, less of a CMN’s audience may be available for off-site activation.
The financial stakes continue to grow. U.S. CTV ad spend is expected to reach roughly $38 billion in 2026, with most of it trading programmatically. A substantial share of open CTV programmatic spend currently goes to inaccurate identity data. Advertisers can improve the efficacy of their CTV campaigns by working with CMNs that have a strong identity infrastructure and relevant data.
Identity resolution helps connect a CMN’s first-party signals to additional addressable identifiers, making more of its audience reachable across environments. A consistent identity layer can then connect that audience to activation across channels and tie campaign exposure back to measurable outcomes.
CMNs don’t need to build that infrastructure themselves. Some may develop identity capabilities in-house, and others can work with a neutral infrastructure partner. A neutral infrastructure layer can connect first-party data, identity, activation, and measurement without competing for the CMN’s media or representing the buyers on the other side. That gives CMNs a consistent foundation across media environments without requiring separate data integrations for each partner.
How CMNs can take first-party data off-site
Early off-site activation has shown how CMNs can take their first-party data beyond O&O properties to help brands reach more shoppers across more media environments. To do that, CMNs need a way to connect their audiences to the platforms and media where brands want to reach them. The approach can vary based on how much technology, campaign execution, and media control the CMN wants to manage directly.
Four operating models have emerged:
The operating model may differ, but the underlying requirement is the same: CMNs need to connect first-party data with addressable identifiers so brands can reach those audiences beyond the CMN’s O&O properties. A segment that can’t match to addressable IDs may have limited off-site reach, and lower match rates can reduce the share of a CMN’s audience that a brand can reach across CTV or the open web.
Expanding beyond O&O: Onboarding and the addressability challenge
CMNs looking to extend the value of their data beyond O&O inventory should focus on two connected areas: strengthening their identity foundation, then onboarding and activating their audiences across more environments.
1. Strengthen your identity foundation
Before CMNs can activate audiences off-site, they need accurate, complete first-party data. Experian’s Offline Identity Resolution helps CMNs resolve first-party data to a consolidated consumer profile, reducing duplication and improving the accuracy of their audience data. Offline Identity Append adds additional information such as name, phone, and address to first-party data, helping CMNs build more complete audience profiles.
Together, these capabilities give CMNs a stronger data foundation for audience creation and activation.
2. Onboard, model, and activate audiences
CMNs may have limited direct integrations with the platforms where brands want to activate their audiences, which can restrict where their first-party data can go off-site. Onboarding connects C
CMN audiences to more activation destinations so advertisers can use those audiences across the open web, connected TV (CTV), social media, and other channels. Experian Onboarding connects first-party data directly to more than 70 programmatic, social, and TV platforms instead of routing through intermediaries. It runs on our identity graph with 4.2 billion active digital IDs refreshed weekly.
For smaller CMNs, audience modeling can help address another challenge: audience size. Modeling can expand a CMN’s existing segments to reach more people with similar characteristics, giving advertisers more scale while staying grounded in the CMN’s first-party data.
For CMNs, stronger identity data and broader activation can make more of an onboarded audience reachable, creating more opportunities for advertisers to build awareness, drive sales, and achieve other desired outcomes.
CMNs can pair onboarding with curation to bring data and inventory together, giving them more control over inventory quality and campaign execution. Experian Curated Deals supports this support this approach by helping marketers, platforms, and publishers create media opportunities that combine data and inventory in one place.
This combination gives CMNs a path from stronger first-party data to larger, more addressable audiences and broader activation opportunities.
A playbook for CMNs still building off-site
Networks developing an off-site strategy should focus on four priorities:
Across each of these priorities, the goal is connection. Experian provides the neutral infrastructure layer that connects a CMN’s first-party data and identity with activation and measurement across the media environments where advertisers want to reach shoppers. This approach helps CMNs expand their options while keeping their data and business relationships at the center.
For CMNs that can’t compete on owned inventory alone, off-site activation creates another path to growth. Stronger first-party data, scalable audiences, broader activation, and curated media opportunities can help CMNs make more of the shopper relationships they already have.
Grow your commerce media network off-site with us
About the author
Doug McLennan
Sr. Director, Product Management
Doug McLennan is the Sr. Director of Product Management at Experian Marketing Services where he oversees audience and activation products. His past work includes managing syndicated audiences at Oracle Data Cloud and building personalized video ad products at an agency. Doug lives in Colorado and skis as much as his family will allow.
FAQs
Off-site commerce media uses a CMN’s first-party audience data to reach shoppers beyond the network’s owned sites and apps. That can include CTV, social, and programmatic.
CMNs are investing in off-site advertising because O&O inventory has a natural limit. Off-site activation gives CMNs more opportunities to offer advertisers greater reach by extending their shopper data across channels, helping brands connect with audiences beyond the CMN’s owned properties.
Identity resolution gives CMNs a foundation for connecting first-party data to the addressable identifiers used across off-site media. Experian builds on that foundation as a neutral infrastructure layer, connecting first-party data and identity to activation and measurement without competing for the CMN’s media. This gives CMNs more flexibility in how and where they reach audiences across CTV, social, and programmatic channels.
Audience onboarding connects addressable audience segments to advertising platforms for activation. For CMNs with limited direct platform integrations, Experian Onboarding connects their first-party audiences to more programmatic, social, and TV platforms, giving brands more ways to reach those audiences through off-site campaigns.
A consistent identity foundation and regular audience refreshes can help CMNs maintain addressability as identifiers and household signals change. Experian is the neutral infrastructure layer that connects first-party data and identity to activation and measurement, helping CMNs extend their audiences across off-site channels while keeping their data and business relationships at the center.
CMNs can measure off-site campaigns by connecting media exposure across environments such as CTV and programmatic display to subsequent outcomes. Experian’s consistent identity foundation connects activation to measurement, helping CMNs tie ad exposure to actions such as online purchases, store visits, or other measurable actions and understand what’s driving campaign performance.
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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 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