Brands have spent years strengthening identity. That was the right move. A stronger identity foundation gives marketers a better chance to understand people, shape audiences, and connect media to outcomes.
Yet I see many teams hit the same wall after that work is done. Performance breaks at activation.
I think of it as the activation gap. It’s the distance between knowing who you want to reach and being able to act on that intelligence across channels in a privacy-safe, measurable way. For many brands, identity is stronger than it was a few years ago. The challenge now is carrying that signal cleanly from data into execution, and from execution into outcomes.
Identity was the first step
For a long stretch, the industry was focused on rebuilding identity. That made sense. Marketers needed a more durable foundation for audience strategy, activation, and measurement.
Now the market is in a different phase. First-party data can’t stop at organization in a CRM, it has to be usable in market as an addressable audience that can move across digital, TV, social, and commerce environments.
That shift sounds straightforward. In practice, this is where the process starts to break down.
A pharma brand may already have patient or consumer records, onboarding capability, and audience segmentation. It may be able to launch awareness messaging in a few channels. The harder part is turning that foundation into a connected strategy it can carry into market from start to finish.
That has direct implications for growth. When signal degrades between planning and execution, media becomes less efficient, optimization slows down, and it gets harder to connect audience decisions to business results.
The gap is operational
Closing the gap starts with making identity usable in market, not just accurate on paper.
A pharma marketing team may know which audiences it needs to reach, have a view of likely demand, and know which channels are in play. None of that creates value if the path from audience creation to activation is disconnected.
Modern marketing should be judged by connected execution. Data has to move cleanly into activation. Activation has to stay close enough to measurement so teams can unify cross-channel exposure, build a clearer view of consumer behavior, and connect campaign exposure back to outcomes with more accuracy in near real-time.
That’s the part many organizations are still working through. They’ve invested in the foundation. The system above it still feels too fragmented to carry signal from start to finish.
Complex markets raise the stakes
This pressure is even more visible in regulated categories.
In health and finance, brands need more than audience access. They need privacy-safe activation, strong governance, and outcome visibility that can stand up to scrutiny. They need a way to carry audience intelligence across environments without losing control of how that signal is used.
In these categories, weak connections between identity, activation, and outcomes create hesitation, and hesitation is expensive.
What closing the gap looks like
Closing the gap starts with a fuller view of the consumer across channels.
Most brands already have valuable first-party data. The challenge is whether they have enough insight to make it activation-ready.
When identity, activation, and measurement work more closely together, brands can understand not just who the consumer is, but how that person tends to engage and convert across channels. A consumer may be more likely to engage through streaming TV or digital video, then convert later online or in person. Those insights help brands build a more tailored outreach strategy by device and channel, shaping where they show up, how they sequence messages, and where they place the strongest conversion opportunity.
Remove duplication across channels and ecosystems
Look for an identity provider that supports accurate and scalable onboarding and resolution across environments, and that shows how identity graph distribution aligns to industry standards at the household and person level. In a multi-device world, that foundation also needs to support high-confidence deduplication to the person and household, especially in connected TV (CTV) and TV environments where devices are often shared and both activation and measurement depend on understanding those relationships.
Find the best path to your audience
Then make sure those insights can move into activation, supported by curation that helps brands find a more efficient path to reach those audiences, and connected measurement that can tie exposure back to outcomes.
My view
I’ve spent enough time around growth teams to know that the market rarely rewards brands for having the best data story in a conference room. It rewards the brands that can turn audience intelligence into action in market and see clearly what that action produced.
That’s why I think the next separation point is activation. The teams that stand out will be the ones that can take signal from strategy into execution without losing fidelity, then connect that execution back to outcomes quickly enough to make better decisions while it still matters.
That changes how I would evaluate a marketing operation. I would look less at how much data a brand has collected and more at whether that data can travel.
Identity still matters. The difference now is that identity alone will not create growth. Growth comes from carrying signal all the way through activation and into outcomes, with enough clarity to know what’s working and enough confidence to act on it.
About the author
Kevin Dunn
Chief Revenue Officer, Experian
Kevin Dunn joins Experian Marketing Services with more than 20 years of leadership experience across marketing and advertising technology, most recently serving as Senior Vice President of Brands and Agencies at LiveRamp. In that role, he led growth across retail, CPG, travel, hospitality, financial services, and healthcare, overseeing new business, account expansion, and channel partnerships.
Kevin is known for building cohesive, accountable teams and leading with optimism, clarity, and a strong sense of shared purpose. His leadership philosophy centers on empowering people, driving positive outcomes for clients and fostering a culture where teams can grow, take smart risks, and succeed together.
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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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