Today, Experian is excited to introduce our Offline Graph as a standalone product that clients can license, marking a significant step in our commitment to powering data-driven advertising through connectivity. Offline Graph empowers advertisers and advertising technology companies to build and refine consumer profiles, contributing to data connectivity, more offline audience reach, and improved offline measurement accuracy.
As a result of consumers engaging with content across more channels, there are more disparate data points than ever before. When you couple that with ongoing signal loss, the need for a unified identity solution has never been greater.
Experian’s Offline Graph offers companies a license of stable offline data points, like name, address, phone number, email, geographic information, date of birth, and additional attributes that provide a complete view of household and individual identities. The Offline Graph integrates known offline identity information from reliable deterministic sources like property ownership records, public records, and marketing data to provide access to all United States consumers and households.
How customers can use the Offline Graph
- A big box retailer fills in the blanks of their existing customer data and builds a database of prospects.
- A media platform more effectively onboards advertisers’ segments, enabling advertisers to reach more of their customers.
- A retail brand better understands their customer’s demographic and behavioral make-up, by licensing Offline Graph with Marketing Attributes.
- A connected TV (CTV) manufacturer increases audience reach and accurately quantifies the campaign impact for their advertising partners.
Experian’s Offline Graph is already driving value across industries. Here’s some in-depth client success stories:
Fusion92 licenses Offline Graph to help their clients transform their marketing
Fusion92 is a marketing partner that fuels business transformation in today’s digital economy and delivers exponential returns for brands.
Fusion92 licenses Experian’s Offline Graph to power their strategy: from research and discovery to audience creation, activation, and measurement. With access to our Offline Graph, Fusion92 ensures their clients get the insights, targeting, reach, and measurement they need to achieve their business goals.
“At Fusion92, we are always pushing the envelope to develop solutions that lead to success for our clients. Our desire to innovate pushed us to find an industry-leading partner in data and identity. This led to us licensing Experian’s Offline Graph product, which we use to build more complete audience profiles for our clients. In doing so, we help brands target, activate, and measure their marketing campaigns more effectively, leading to superior results.”
dave nugent, executive vice president of data and analytics, fusion92
Using Offline Graph to deliver relevant messaging to multiple audience cohorts
A leading direct-to-consumer (DTC) company with strong customer relationships built a robust first-party data set, enabling effective customer retention. To attract new customers, they partnered with Experian to access offline identity data from Experian’s Offline Graph. The Offline Graph provides them with the data needed to validate their first-party data and with the keys to unlock new customers.
With this data, the DTC company delivered the right message to both sets of consumers: existing customers and new prospects. By integrating Experian’s Offline Graph they broadened their reach, personalized their messaging, and improved their marketing.
What sets Experian’s Offline Graph apart from the competition
- Stability of data: With data from deterministic sources, our Offline Graph ensures that your view of consumers – and your ability to connect with them – is stable over time.
- Connected digital and offline data: Seamlessly connect offline data with digital identifiers through our Digital Graph, enabling a holistic approach to marketing, while ensuring consumer privacy is prioritized.
- Tailor made for your use cases: Build the Offline Graph to fit your specific needs, selecting the exact offline identity information required for your campaigns.
- Expanded consumer insights: Connect more data points to enrich your understanding of consumer demographics and behavior, using Experian’s Marketing Attributes and Audiences data.
Offline Graph: Your gateway to consumer connectivity
As signals fade, there is a large emphasis on procuring and having accurate consumer data. Experian’s Offline Graph delivers the connectivity and insights necessary to stay ahead. Whether you aim to strengthen your existing data or access entirely new data sets, Experian’s Offline Graph offers a solution tailored to your needs. Transform your data strategy with Experian’s Offline Graph — your gateway to a unified consumer identity solution.
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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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