At A Glance
The Advertising Research Foundation’s DASH TV Universe Study provides a projectable view of how Americans connect to and consume TV across households, devices, and services. In this Q&A, Jim Meyer, General Manager, DASH, and Samantha Zhang, Senior Data Scientist, at the ARF explain what DASH measures, who uses it, why MRC accreditation matters, and how Experian combines DASH with its data to build audience segments for advertisers and agencies.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 DASH | Elements that create context in DASH |
| TV sets Location | brand | smartness | service modes | sources | Demographics |
| Connected devices Game consoles |video players | streaming devices | Yesterday viewing Daypart | TV/device genre | Out-of-home viewing |
| Mobile devices Owners | sharing users | Shopping Online and in-store | Exposure to major RMNs |
| Internet service Modes | ISPs | connectivity by device | Streaming audio |
| Streaming TV SVOD/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. penetration | Change vs. 2024 (M) |
| Total US | 134.8 | 100% | +2.7 |
| Connected TV (CTV) | 114.6 | 85% | +2.1 |
| TV (Set) | 124.2 | 92.2% | +1.1 |
| Device-only | 8.8 | 6.6% | +1.6 |
| TV-Accessible | 133.1 | 98.7% | +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:
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.
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.
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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
JimMeyer 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.
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An interview with Webbula’s Jordan Feivelson on digital audiences
Ask the Expert: Q&As with our partnersIn our Ask the Expert Series, we interview leaders from our partner organizations who are helping to lead their brands to new heights in ad tech. Today’s interview is with Jordan Feivelson, VP, Digital Audiences at Webbula. Jordan is a 22-year advertising industry veteran who has worked for media properties such as WebMD and Disney. Over the past ten years, he has transitioned to the data and programmatic space, including growing the data business for Kantar Shopcom and Adstra. What types of advertisers might benefit from utilizing Webbula audiences across various verticals? Can you provide examples of how different industries successfully leverage your data to achieve specific campaign goals? Most advertisers can leverage Webbula’s award-winning attributes for their activation initiatives. Webbula offers approximately 3,000 syndicated segments covering categories such as Demographics, Automotive, Political, Mortgage, B2B, Hobby/Interest/Lifestyle, and Interests & Brand Preferences (brand name targeting). Audience insights and marketing strategies What specific types of audience segments does Webbula provide? How can advertisers leverage these segments to craft more effective, personalized marketing strategies? Webbula has incredible depth and breadth within its verticals, giving marketers the tools to deliver targeted messaging effectively. Our Demographic, B2B, Mortgage, Automotive, and Interest and Brand Preferences segments each contain 500-1,000 segments, all built on deterministic, self-reported, and individually linked data. We ensure the best accuracy with multiple deterministic data points tied to the real world (ex., first name, last name, postal address, and email address). Some examples of our unique syndicated audience types: B2B: A view of the latest industry trends with detailed cuts of the professional world, such as companies with and not within the Fortune 500 companies and job positions that are directors and below. This also includes custom capabilities, including ABM (list of target companies in an activation campaign or by industry code (ex. NAICS, SIC). Interest and Brand Preferences: Consumers who have shown interest and affinity to hundreds of brands (ex., Nike), genres (ex., comedy, hip hop), sports teams, and more. Mortgage: A detailed view of homebuyers’ purchase range, loan type (ex. jumbo loan, standard loan), mortgage amount, interest rate, and more. With Webbula’s audience data, brands can create a comprehensive picture of their audiences down to the individual level and reach them accurately. Data quality, sourcing, and differentiation How is consumer data sourced and curated at Webbula? 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Examples of Data Sources: Questionnaires: Self-reported data through surveys, offer submissions, and telemarketing. Transactions: Deterministic data from aftermarket parts, online purchases or services, and more. Sign-ups: Individually linked data from information entered through sweepstakes, infomercials, newsletters, and forms. What differentiates Webbula’s data from other data providers in the market? Can you explain the unique value proposition that Webbula offers in terms of data depth and breadth? Due to our extensive experience in data cleansing, we provide the most accurate data within the programmatic ecosystem. TruthSet, the leading programmatic accuracy measurement company, has ranked Webbula as having the highest number of top attributes compared to other data providers with 150M+ HEMs. Additionally, Publicis Groupe and Neutronian further validate Webbula’s data quality, underscoring its position as a leader in the industry. Webbula’s data stands out in the market due to its unmatched accuracy and quality, achieved through years of expertise in data cleansing. Unlike other providers, Webbula’s foundation lies in its robust email hygiene process, ensuring that all data entering the programmatic ecosystem is thoroughly cleansed. Privacy, compliance, and future-proofing What measures does Webbula take to maintain data privacy and compliance? How do these efforts benefit advertisers in an evolving regulatory landscape and ensure ethical standards? Webbula was created over a decade ago with a future-proof, privacy-compliant foundation. We understand the industry’s rapid changes, including government and state legislation and cookie depreciation. Our goal has always been to build long-term partnerships and ensure we are prepared for industry changes. We rely on validated offline data sources, making us resilient to external influences. Success stories Can you share success stories where advertisers saw significant campaign improvements using Webbula’s data? What were the key factors that contributed to these successes? Our success is measured by client feedback and increased client spend. Webbula has helped several key advertisers achieve six-figure monthly thresholds by providing the most accurate data to meet campaign KPIs. Clients consistently return to use our data, validating our belief that “the proof is in the pudding.” Thanks for the interview. Any recommendations for our readers if they want to learn more? For those interested in learning more about Webbula, reach out for a personalized consultation. Contact us Latest posts