At A Glance
Updated in 2025 after Experian’s acquisition of Audigent and Google’s decision to retain third-party cookies, this article explains that signal fragmentation remains. Experian is evolving its Digital Graph and integrating Audigent’s capabilities, while working with partners like The Trade Desk and ID5 to deliver privacy-safe reach, measurement, and performance across traditional identifiers and emerging alternatives.Experian offers a suite of next-generation tools built on the Experian Digital Graph to help marketers adapt to ongoing signal fragmentation and privacy regulation. These solutions enable brands to maintain behavioral targeting and campaign performance even as traditional signals decrease.
Through Experian’s integration with Audigent, we now offer early access to Curated Deals, contextually-indexed audiences, and Geo-Indexed Audiences that help advertisers test privacy-first audience activation in a period of accelerating signal fragmentation.
Experian and Audigent offer a data management platform (DMP) that enables publishers to collect, manage, and understand their first-party data, while also accessing third-party data, to better monetize their data assets.
At the same time, Experian continues to advance its signal-agnostic Digital Graph, which already covers industry-standard universal IDs, like Unified ID 2.0 (UID2) and ID5, as well as both IPv4 and IPv6, which are becoming more and more prevalent.
Together, these updates give marketers a reliable, privacy-forward foundation for audience reach, cross-device targeting, and measurement as signal fragmentation continues to reshape digital advertising.
How is Experian’s Digital Graph evolving in a multi-signal world?
Signal fragmentation is reshaping how marketers reach and measure audiences, so we continue to strengthen the Experian Digital Graph to keep performance steady across channels. Recent updates focus on improving connectivity, accuracy, and durability:
- More signals to keep reach strong: We added IPv6 and phone-based UID2s to our Digital Graph, building on the hashed email (HEM)-based UID2s we already support.
- Better AI models for cleaner identity data: We improved our AI clustering and device classification models to sharpen ID resolution.
- More stable customer profiles: We enhanced stability in our Digital Graph by tying it more closely to our Offline Graph, ensuring more complete customer profiles that last over time.
Together, these updates give marketers a more resilient identity foundation and help maintain performance in a market defined by rising signal fragmentation.
How is Experian advancing contextual targeting and geo-based targeting with our partners?
AWith more signals in market and traditional identifiers becoming less reliable advertisers are returning to tactics that don’t rely on cookies. Contextual targeting and geo-based targeting have both delivered results for years, and are becoming even more important as marketers look for consistent ways to reach audiences without relying on ID-level data.
Experian is modernizing these approaches by pairing Experian Marketing Data with contextual and geographic signals to create privacy-first activation paths that hold up as identifiers fade.
With our acquisition of Audigent, we’re expanding the ways marketers can activate privacy-forward audiences at scale. Together, these capabilities strengthen how brands reach people with relevant experiences, even as traditional IDs fade:
- Contextually- Indexed Audiences: We index Experian’s syndicated audiences against contextual signals inside private marketplace (PMP) deals using Experian’s Digital Graph and Audigent’s Hadron ID. In a 15-day test with a national advertiser, this ID-less approach exceeded click-through rate goals by 25% while matching the scale and delivery of ID-based campaigns.
- Geo-Indexed Audiences: We also offer Geo-Indexed Audiences that use location-based signals to reach consumers in the right places and moments, providing another durable option when IDs are unavailable or restricted.
- Evolving toward more intent-rich signals: Looking ahead, we are developing ways to incorporate additional intent indicators, such as content consumption patterns and repeated contextual behaviors, to give marketers stronger cues about where their audiences are in their decision process, all without relying on user-level identifiers.
Together, these tactics make contextual and geo-based targeting more measurable, scalable, and privacy-safe, helping marketers keep performance steady as signal fragmentation accelerates.
Which alternative IDs does Experian’s Digital Graph support?
Experian’s signal-agnostic Digital Graph is designed to interoperate across identity frameworks and connect digital identifiers into a single, privacy-compliant system. It now supports alternative IDs such as:
- UID2s
- ID5 IDs
- HEMs
- Connected TV (CTV) IDs
Our Digital Graph is rebuilt weekly to maintain high accuracy and addressability across campaigns. These capabilities ensure marketers can continue cross-device activation and measurement as legacy signals decline.
“Experian is a valued partner in Nexxen’s unified identity graph powering the Nexxen data platforms, which bring us the ability to seamlessly onboard client data, activate campaigns, and measure performance while maximizing biddable opportunities for our advertisers. They help ensure our clients can continue reaching audiences at scale and successfully execute campaigns.”
NexxenChance Johnson, Chief Commercial Officer
What’s next for Experian’s identity and connectivity roadmap?
As digital signals change and CTV viewership grows, we continue to expand the identifiers supported within the Experian Digital Graph. Recent additions such as IPv6 and phone-based UID2s, alongside existing IPv4 and email-based IDs, help marketers and platforms understand the full customer journey across screens and households within a privacy-first framework.
We are committed to maintaining and increasing connectivity in the digital world, ensuring that clients can reach their audiences even as familiar signals decline. A core part of that commitment is strengthening the overlap between our Offline and Digital Graphs. This work improves cross-channel consistency and gives marketers more reliable links between individuals, households, and devices.
As we keep investing in identity resilience, clients can expect ongoing innovation that supports addressability and performance despite evolving privacy constraints.
How can marketers maintain addressability at scale today?
Experian’s connected toolkit of signal-agnostic advertising solutions empowers brands to continue reaching audiences with confidence:
- Identity resolution through Experian’s Digital Graph
- Curation via Audigent
- Cross-device measurement built for privacy compliance
- Universal ID interoperability across platforms
As the industry adjusts to signal fragmentation, Experian provides the scale, trust, and connectivity required to sustain effective targeting.
A resilient path forward for addressable advertising
As the AdTech industry continues to evolve, Experian’s Digital Graph continues to power interoperability, scale, and privacy-safe measurement.
With data ranked #1 in accuracy by Truthset, collaborations across the AdTech ecosystem, and ongoing support for universal IDs, Experian gives marketers a reliable path to addressable, measurable, and privacy-first advertising.
Connect with our team
About the author
Budi Tanzi, VP of Product and Solution Engineering, Experian Marketing Services
Budi Tanzi is the Vice President of Product at Experian Marketing Services, overseeing all Identity Products. Prior to joining Experian, Budi worked at various stakeholders of the ad-tech ecosystem, such as Tapad, Sizmek and StrikeAd. During his career, he held leadership roles in both Product Management and Solution Engineering. Budi has been living in New York for almost 11 years and enjoys being outdoors as well as sailing around NYC whenever possible.
FAQs
Experian’s Digital Graph enables consistent audience targeting and measurement across browsers and devices using privacy-compliant identifiers. It connects verified digital data, giving advertisers continuity as traditional IDs become less reliable.
Experian’s Digital Graph supports consistent audience targeting and measurement across browsers and devices using privacy-compliant identifiers. By connecting verified digital data, the Digital Graph gives marketers continuity as signals such as cookies, device IDs, and IP-based identifiers become less reliable. Recent updates, including IPv6, phone-based UID2s, and improved AI clustering, help you maintain reach and accuracy even as digital signals shift.
Experian works with a variety of partners to source digital IDs. We work with The Trade Desk and ID5 to incorporate their universal IDs into our Digital Graph. Additionally, Audigent, now a part of Experian, offers Curated Deals, which are a non-cookie dependent way to provide reach and relevance.
Yes. Experian’s identity and data solutions align with IAB Data Privacy Standards and regulations such as the California Consumer Privacy Act (CCPA), ensuring transparent and compliant data use.
Our current focus is to increase the overlap between our Offline and Digital Graphs, enabling more cross-channel addressability for our clients. We also continue expanding supported identifiers and improving our AI models to maintain performance as signal fragmentation grows.
You can reach out directly to explore privacy-first activation options, including contextual, geo-indexed, curated deals, and ID-based strategies supported by the Experian Digital Graph.
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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
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