At A Glance
The Device and Account Sharing (DASH) study, developed by the ARF, provides insights into how American households consume TV and digital media. By combining DASH data with Experian Marketing Data, advertisers can create audience segments based on real-world viewing habits, helping campaigns reach the right people with greater accuracy. This collaboration provides a clearer, evidence-based view of how people watch TV today.Viewers shift between streaming services, live TV, and on-demand content across multiple devices, making it harder to know exactly who sees your message. Instead of wondering if your ads are reaching the right viewers, it’s important to have a clearer understanding of viewing behaviors so you can focus your efforts on the audiences that matter most to your campaign.
Experian has collaborated with The Advertising Research Foundation (ARF) to create new opportunities for marketers. By combining data from the ARF’s DASH (Device and Account Sharing) study with Experian Marketing Data, we’ve developed a new way for you to understand and reach modern TV viewers. Instead of estimating who might see your message, you gain a clearer view of viewing behavior and can align activation with the audiences that matter to your campaign.
What is the DASH study?
The DASH study, developed by the ARF together with the National Opinion Research Center (NORC) and seven industry sponsors, including Experian, provides a detailed picture of how American households consume TV and digital media. This research offers an unbiased and accurate view of media habits, measuring everything from device usage to streaming account sharing.
When this viewership data is combined with Experian Marketing Data, it allows for the creation of unique audience segments. These segments are built on real-world media and device usage, providing a more accurate representation of how people watch, share, and engage with TV content. This combination of identity and connectivity helps marketers understand exactly how people engage with media, technology, and their favorite brands.
“Television viewing behavior has undergone a massive transformation, making it challenging for advertisers to reach their target audience and optimizefrequency. These audiences give advertisers invaluable tools for managing their campaigns in an increasingly fragmented environment.”
ExperianDoug McLennan, Director of Product Management
How do DASH audiences help?
By using the DASH study, Experian developed TV audience segments that reflect how people truly interact with content. These audiences provide the insights you need to align your campaigns with actual media consumption habits, helping you reach viewers with more relevant messages.
This approach moves beyond basic demographics. It allows you to connect with people based on specific behaviors, such as co-viewing, screen preferences, or household streaming habits. The result is a more focused and efficient advertising strategy that delivers better outcomes.
“DASH has established itself as a reliable and unbiased calibration set, a “true North”, for media measurement. Our collaboration with Experian puts the power and precision of DASH in the hands of marketers and advertisers as well.”
ARFPaul Donato, Chief Research Officer
Which audience segments help you target viewers more effectively?
These audience segments make it possible to find specific types of viewers and align your marketing campaigns with their media usage. Whether you’re connecting with people who are receptive to ads, households that enjoy shows together, or individuals who are frequent streamers, you can approach campaigns with greater accuracy and confidence. We’re pleased to introduce these segments and continue our partnership with the ARF, creating new opportunities to help you build effective connections with your target audiences.
Explore some of our key audience segments:
- Ad Acceptors: Viewers who are more open to watching advertisements.
- Ad Avoiders: People who actively try to skip or block ads.
- Co-Watchers: Households where multiple people view content together.
- Solo Watchers: Individuals who typically watch TV by themselves.
- Paid TV High Spenders: Households that subscribe to multiple paid TV or streaming services.
- Large Screen Viewers: People who primarily watch content on large television screens.
- Small Screen Viewers: Individuals who prefer watching on smaller devices like tablets or phones.
How can I use these audiences?
Experian’s DASH audiences are available in your demand-side platform (DSP) of choice, ready for activation across all offline and online channels. This easy access means you can build more effective campaigns without changing your existing workflow.
Using these segments, you can manage your advertising with greater confidence. You gain the tools needed to navigate the fragmented media environment and ensure your campaigns are seen by the right people. This targeted approach helps you maximize the impact of your marketing efforts and achieve your goals. Strengthen your TV planning and activation with DASH audiences.
Are you ready to connect with your audience in a more meaningful way?
FAQs
The DASH study, developed by ARF, provides an unbiased view of how American households consume TV and digital media. It measures device usage, streaming habits, and account sharing to create a detailed picture of media consumption.
Experian combines its Marketing Data with insights from studies like DASH to create audience segments based on real-world behaviors. This allows advertisers to align their campaigns with how people actually consume content.
Audience segments include Ad Acceptors, Co-Watchers, Solo Watchers, Paid TV High Spenders, and Large or Small Screen Viewers, enabling precise targeting based on viewing habits.
By focusing on actual media consumption habits, advertisers can deliver more relevant messages, reduce wasted impressions, and improve the overall effectiveness of their campaigns.
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In 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? Are there data quality standards that Webbula establishes for consumer data, and how do you ensure your sources and methods meet these standards consistently? Webbula’s data is aggregated from over 110 trusted and authenticated sources, including publishers, data partners, social media, and more. The data collected comes directly from consumers who self-report information through surveys and other methods. We apply our hygiene filters to mitigate fraud and accurately score the data. Data Collection: The data collected comes directly from consumers who self-report information through surveys, questionnaires, transactions, and sign-ups. This ensures that brands display ads to audiences based on self-identified, cross-channel behaviors, not modeled assumptions. Hygiene Solutions: Webbula applies multi-method hygiene solutions to mitigate fraud and accurately score the data before onboarding, ensuring that all data meets the highest quality standards. 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