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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NEW YORK, Sept. 28, 2016 /PRNewswire/ – Tapad, the leader in cross-device marketing technology, today announced a new metric for cross-device marketers, Viewable Exposure Time (VET). Viewable Exposure Time measures across screens and ad formats, identifying the optimal amount of time a consumer spends with an ad before they take action. The announcement coincides with Unify Tech '16, Tapad's third-annual cross-device summit during Advertising Week NY. Frequency caps are currently used to ensure that dollars aren't wasted on redundant ads. Viewable Exposure Time evolves the frequency capping approach to include accelerating a consumer's ad exposure rate up to the optimal time spent with the brand. VET is used in affinity, digital transaction and offline purchase models as a key indicator of marketing budget well-spent. Beta users of VET span every vertical, though interest is especially high from CPG, Automotive, Telecommunications and Retail. Viewable Exposure Time unifies and upgrades marketers' predictors of advertising success by leveraging cross-screen engagement across digital and television, with vendor-agnostic viewability scores for video, rich media and display. "Today's current measurement options, like click-through rate (CTR) and TV gross ratings points (GRP) tell an incomplete story," said Tapad GM of Media Kate O'Loughlin. "Tapad is focused on measuring what really matters to marketers – building an efficient connection with a customer. Innovation in metrics was long overdue." More than just a measurement tool, Tapad also provides clients with VET activation. Factoring in time spent with ads in viewable seconds and minutes, these analytics inform marketers about which audiences are underexposed, enabling them to adjust campaigns and deliver according to optimal viewable exposure time. This effectively increases conversion rates at the lowest cost. Contact us today

Strong Revenue Performance and Thriving Culture Contribute to Industry Recognition NEW YORK, Sept. 15, 2016 /PRNewswire/ — Tapad, the leader in cross-device marketing technology and now a part of Experian, was named a top company on Inc. Magazine’s list of the 5000 fastest-growing private companies in the U.S. In addition, Tapad won the TMCnet 2016 Tech Culture Award. The exclusive Inc. 5000 ranking highlights the fastest-growing privately-held* companies in America. These distinguished companies have achieved success in strategy, service and innovation. TMCnet recognizes talented tech professionals who are committed to building a culture that prioritizes employee growth, collaboration and engagement. Tapad continues to broaden their presence into new markets, having launched in APAC earlier this year, as well as continuing their European expansion. Tapad’s proprietary technology, The Device Graph™ is leveraged by more marketers and brands to understand digital engagement across devices. The company’s rapidly expanding client base includes numerous Fortune 500 company brands as well as all four major advertising holding companies in the U.S. “We have an exceptional team of innovative people who are all working very hard to achieve the kind of results these publications are recognizing,” said Tapad CEO and Founder, Are Traasdahl. “Given that, we have an even greater responsibility to our talent to create an environment that fosters innovation and nurtures open communication. Ultimately, this is how we will continue to reach our very ambitious goals of becoming the world’s leading unified marketing technology provider.” Tapad’s award-winning work culture is defined by its gold-standard benefits which include a six-month parental leave policy, unlimited vacation time, company-sponsored meals and office space designed to facilitate collaboration and open communication. Tapad’s highly talented team has also received multiple customer service awards in 2016. These awards include the iMedia ASPY awards for Best Customer Service and Best Mobile Partner as well as recognition from The Communicator Awards of Excellence in Interactive Media. *Prior to Tapad’s acquisition by Telenor in February 2016. Contact us today

The Tapad Device GraphTM Had Twice the Precision and Three Times the Scale as Next Competitor New York, September 14, 2016 – Just-released findings of a Hotels.com® study revealed that Tapad’s (part of Experian) cross-screen marketing technology achieved the highest levels of precision and scale among competitors. According to the leading online accommodation booking website, after a rigorous, three-and-a-half month vendor analysis, Tapad achieved twice the precision of the next highest-scoring cross-screen offering and three times greater scale. The two other companies evaluated were not named. Said Helene Cameron-Heslop, Senior Manager of Analytics of the Hotels.com brand, “Our team implemented an extremely rigorous vetting of open, cross-screen technology vendors. At the outset, we assumed we would have to compromise on either scale or accuracy – particularly given the importance to our brand of operating in a privacy-safe setting. We were surprised to find a complete package, but Tapad’s Device Graph won out on scale, accuracy and privacy; making our choice of partners very clear.” In another metric critical to the Hotels.com brand, The Tapad Device GraphTM was eight times more “unique” than the next closest offering, meaning Tapad’s graph was found to have a much greater number of connections not seen in any of the other graphs. In addition to precision, uniqueness and scale, the Tapad Device GraphTM was found to have: ● 100% higher recall● 47% more incremental matches● 53% higher North American market coverage● 101% higher F-Score* “A valuable cross-device solution should enable partners to get everything they’re looking for from a single vendor,” said Tapad Founder and CEO, Are Traasdahl. “We are deeply impressed with how thorough Hotels.com was in their vetting, and we confidently tackle the complex challenges of the martech industry thanks to our superior technology. Everyone loves a bake-off, and Tapad is no exception – delivering best-in-class results in areas that really count.” *F-score is a statistical measurement that takes precision and recall together. The calculation is 2*(precision*recall)/precision + recall). It gives you one number instead of two numbers to look at and judge performance. Contact us today