At A Glance
Experian’s Digital Graph and Marketing Attributes joint solution connects digital identifiers with rich consumer attributes. Our joint solution supports identity resolution, cross-channel media activation, analytics, and measurement, helping marketers unify fragmented signals and drive greater reach and insight.What is Experian’s Digital Graph and Marketing Attributes?
Experian’s Digital Graph and Marketing Attributes joint solution is a unified identity and data framework that connects digital identifiers with rich consumer attributes.
Experian’s Digital Graph connects digital identifiers to people and households, while Experian’s Marketing Attributes add depth, including demographics, interests, shopping behavior, and media preferences. Together, they help marketers and platforms with the insights and connectivity they need to understand who their customers are and reach them across digital channels.
How signal fragmentation and omnichannel are reshaping audience connection
Signal fragmentation and third-party cookie uncertainty are reshaping how our industry reaches consumers. At the same time, omnichannel media consumption spreads engagement across platforms, creating a broader but more complex view of consumer behavior. Together, these shifts are pushing marketers and platforms to rethink how they connect insights, activation, and reach across channels, opening the door to more unified approaches.
How Experian’s joint solution helps marketers and platforms address signal fragmentation and omnichannel behavior
Our Digital Graph and Marketing Attributes joint solution helps marketers and platforms navigate signal fragmentation and omnichannel behavior by providing identifiers for seamless cross-channel engagement. By adding Marketing Attributes to our Digital Graph, like demographic and behavioral data, marketers and platforms can gain a better understanding of their consumers. Our joint solution uses Experian’s identity keys, the Living Unit ID (LUID) and Person ID (PID), to combine offline and digital data, giving you deeper insights into consumer behavior, greater audience reach, and improved cross-channel visibility.
What are the benefits of Experian’s Digital Graph and Marketing Attributes joint solution?
Our Digital Graph and Marketing Attributes joint solution brings identity and insight into a single framework, supporting the following benefits:
Four ways to use Digital Graph and Marketing Attributes
When our Digital Graph and Marketing Attributes come together, you get a 360-degree view of your consumers, powering four critical use cases:
How OpenX uses Experian’s Digital Graph and Marketing Attributes joint solution
OpenX is an independent omni-channel supply-side platform (SSP) focused on audience and identity-based targeting across CTV, mobile, app, and desktop environments.
OpenX licenses Experian’s Digital Graph to support one of the largest independent supply-side identity graphs. The addition of Experian Marketing Attributes enriched this graph with consumer-level insight tied to IPs, MAIDs, and client identifiers.
This approach has supported greater addressability and insight for buyers and improved monetization opportunities for publishers during ongoing signal fragmentation.
“We built on our long-term partnership with Experian to enrich our digital IDs with Experian’s Marketing Attributes, which help provide buyers better insights to audiences, thereby helping our publishers monetize their inventory. With partners like Experian, OpenX effectively facilitates the value exchange between demand and supply, ensuring our partners are able to drive results for their business in the era of signal fragmentation”
OpenXCraig Golaszewski, Sr. Director of Strategic Partnerships
How StackAdapt uses Experian’s Digital Graph and Marketing Attributes joint solution
StackAdapt is the multi-channel programmatic advertising platform used by marketers for campaign execution, insights, and measurement.
StackAdapt licenses Experian’s Digital Graph alongside Experian Audiences, which provides them with the level of information they want. Our Digital Graph supports first-party data onboarding, and Experian Audiences support segmentation for activation.
This product combination supports cross-channel reach, segmentation, and campaign measurement within the StackAdapt platform.
“StackAdapt has been recognized as the most trusted programmatic platform by marketers, and with the integration of Experian’s Digital Graph and Audiences, we are strengthening our leadership in the space. This partnership improves our ability to deliver precise cross-channel segmentation, reach, and measurement, helping advertisers run more successful campaigns. Our collaboration with Experian allows us to offer a differentiated solution in the market and ensure our clients can deliver the most precise and impactful ads to their audiences.”
StackAdaptDenis Loboda, Senior Director of Data
We recently announced a new collaboration with StackAdapt, bringing the power of Experian’s identity graph, syndicated and custom audiences directly to the StackAdapt platform.
How Experian supports cross-channel marketing strategies with our Digital Graph and Marketing Attributes joint solution
Our Digital Graph and Marketing Attributes joint solution helps marketers and platforms connect identity to insight so they can create, activate, and measure cross-channel media campaigns.
Connect with us to learn how our Digital Graph and Marketing Attributes joint solution can support your cross-channel strategy.
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FAQs
Experian’s Digital Graph and Marketing Attributes joint solution supplies marketers and platforms with the insights and connectivity they need to understand who their customers are and reach them across digital channels.
Experian’s Digital Graph unifies digital identity signals into a single, privacy-safe view of households and individuals.
Experian’s Marketing Attributes are consumer-level descriptors that include demographics, interests, shopping behavior, and media usage.are consumer-level descriptors that include demographics, interests, shopping behavior, and media usage.
Experian’s Digital Graph and Marketing Attributes joint solution links digital identifiers with attribute data, allowing platforms and marketers to understand and engage audiences across channels.
Marketers, publishers, supply-side platforms, and demand-side platforms use Digital Graph and Marketing Attributes joint solution for analytics, activation, and measurement.
Experian’s Digital Graph and Marketing Attributes joint solution addresses signal fragmentation by reducing reliance on a single identifier type by supporting multiple digital identifiers within one identity framework.
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
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