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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Originally appeared on MarTech Series Marketing’s understanding of identity has evolved rapidly over the past decade, much like the shifting media landscape itself. From the early days of basic direct mail targeting to today's complex omnichannel environment, identity has become both more powerful and more fragmented. Each era has brought new tools, challenges, and opportunities, shaping how brands interact with their customers. We’ve moved from traditional media like mail, newspapers, and linear/network TV, to cable TV, the internet, mobile devices, and apps. Now, multiple streaming platforms dominate, creating a far more complex media landscape. As a result, understanding the customer journey and reaching consumers across these various touchpoints has become increasingly difficult. Managing frequency and ensuring effective communication across channels is now more challenging than ever. This development has led to a fragmented view of the consumer, making it harder for marketers to ensure that they are reaching the right audience at the right time while also avoiding oversaturation. Marketers must now navigate a fragmented customer journey across multiple channels, each with its own identity signals, to stitch together a cohesive view of the customer. Let’s break down this evolution, era by era, to understand how identity has progressed—and where it’s headed. 2010-2015: The rise of digital identity – Cookies and MAIDs Between 2010 and 2015, the digital era fundamentally changed how marketers approached identity. Mobile usage surged during this time, and programmatic advertising emerged as the dominant method for reaching consumers across the internet. The introduction of cookies and mobile advertising IDs (MAIDs) became the foundation for tracking users across the web and mobile apps. With these identifiers, marketers gained new capabilities to deliver targeted, personalized messages and drive efficiency through programmatic advertising. This era gave birth to powerful tools for targeting. Marketers could now follow users’ digital footprints, regardless of whether they were browsing on desktop or mobile. This leap in precision allowed brands to optimize spend and performance at scale, but it came with its limitations. Identity was still tied to specific browsers or devices, leaving gaps when users switched platforms. The fragmentation across different devices and the reliance on cookies and MAIDs meant that a seamless, unified view of the customer was still out of reach. 2015-2020: The age of walled gardens From 2015 to 2020, the identity landscape grew more complex with the rise of walled gardens. Platforms like Facebook, Google, and Amazon created closed ecosystems of first-party data, offering rich, self-declared insights about consumers. These platforms built massive advertising businesses on the strength of their user data, giving marketers unprecedented targeting precision within their environments. However, the rise of walled gardens also marked the start of new challenges. While these platforms provided detailed identity solutions within their walls, they didn’t communicate with one another. Marketers could target users with pinpoint accuracy inside Facebook or Google, but they couldn’t connect those identities across different ecosystems. This siloed approach to identity left marketers with an incomplete picture of the customer journey, and brands struggled to piece together a cohesive understanding of their audience across platforms. The promise of detailed targeting was tempered by the fragmentation of the landscape. Marketers were dealing with disparate identity solutions, making it difficult to track users as they moved between these closed environments and the open web. 2020-2025: The multi-ID landscape – CTV, retail media, signal loss, and privacy By 2020, the identity landscape had splintered further, with the rise of connected TV (CTV) and retail media adding even more complexity to the mix. Consumers now engaged with brands across an increasing number of channels—CTV, mobile, desktop, and even in-store—and each of these channels had its own identifiers and systems for tracking. Simultaneously, privacy regulations are tightening the rules around data collection and usage. This, coupled with the planned deprecation of third-party cookies and MAIDs has thrown marketers into a state of flux. The tools they had relied on for years were disappearing, and new solutions had yet to fully emerge. The multi-ID landscape was born, where brands had to navigate multiple identity systems across different platforms, devices, and environments. Retail media networks became another significant player in the identity game. As large retailers like Amazon and Walmart built their own advertising ecosystems, they added yet another layer of first-party data to the mix. While these platforms offer robust insights into consumer behavior, they also operate within their own walled gardens, further fragmenting the identity landscape. With cookies and MAIDs being phased out, the industry began to experiment with alternatives like first-party data, contextual targeting, and new universal identity solutions. The challenge and opportunity for marketers lies in unifying these fragmented identity signals to create a consistent and actionable view of the customer. 2025: The omnichannel imperative Looking ahead to 2025 and beyond, the identity landscape will continue to evolve, but the focus remains the same: activating and measuring across an increasingly fragmented and complex media environment. Consumers now expect seamless, personalized experiences across every channel—from CTV to digital to mobile—and marketers need to keep up. The future of identity lies in interoperability, scale, and availability. Marketers need solutions that can connect the dots across different platforms and devices, allowing them to follow their customers through every stage of the journey. Identity must be actionable in real-time, allowing for personalization and relevance across every touchpoint, so that media can be measurable and attributable. Brands that succeed in 2025 and beyond will be those that invest in scalable, omnichannel identity solutions. They’ll need to embrace privacy-friendly approaches like first-party data, while also ensuring their systems can adapt to an ever-changing landscape. Adapting to the future of identity The evolution of identity has been marked by increasing complexity, but also by growing opportunity. As marketers adapt to a world without third-party cookies and MAIDs, the need for unified identity solutions has never been more urgent. Brands that can navigate the multi-ID landscape will unlock new levels of efficiency and personalization, while those that fail to adapt risk falling behind. The path forward is clear: invest in identity solutions that bridge the gaps between devices, platforms, and channels, providing a full view of the customer. The future of marketing belongs to those who can manage identity in a fragmented world—and those who can’t will struggle to stay relevant. 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