Reach de-identified patient and provider segments at scale across every channel.
Pharmaceutical brands and media platforms, including connected TV (CTV), can activate HIPAA-compliant audiences built on real-world clinical and claims data through a new collaboration between PurpleLab and Experian.
Targeting de-identified audiences is essential for engaging the right patients at pivotal moments in their health journey, maximizing ROI while safeguarding privacy and improving outcomes. Overall, prescription drugmakers spent $2.97 billion on national TV advertising in the first half of 2025, a 12.2% year-over-year increase, underscoring the growing demand for scalable, privacy-compliant healthcare advertising in premium media environments.
Now, whether you’re a pharma advertiser launching a new therapy or a platform curating health-focused inventory, PurpleLab’s integration refreshes the media planning ecosystem, offering marketers easier access to the audiences needed to drive impact.
Activate with accuracy and scale
PurpleLab’s de-identified healthcare segments, categorized by condition, treatment, specialty, and prescription behavior, are now accessible through Experian’s data marketplace, streamlining media planning. This integration enables PurpleLab’s privacy-safe audiences to travel from discovery to omnichannel delivery. Experian then handles onboarding, activation, and audience expansion, in accordance with HIPAA and with industry standards.
Utilizing Experian’s identity graph, spanning household and individual-level insights, as well as marketing attributes, these healthcare audiences can be:
- Onboarded securely, matching hashed emails or tokens to digital identifiers
- Activated across major channels, including CTV, mobile, display, and social
- Expanded with confidence, reaching more of the target population, patients, or healthcare professionals, without relying on third-party cookies
This infrastructure unlocks greater scale and completeness for niche pharma audiences that have historically been hard to reach in digital and streaming environments. For brands navigating fragmented media and tightening privacy regulations, this collaboration provides the clarity and consistency they’ve been seeking.
“We know healthcare marketers are under pressure to get it right: to respect privacy, be accurate, and scale. That’s why we’re excited to bring PurpleLab audiences into the Experian data marketplace and make them available through Audigent’s curated deals. It gives pharmaceutical brands and platforms a clear way to plan and measure campaigns, with the assurance that they’re reaching patients and providers when it matters in the right way.”
ExperianKim Gilberti, General Manager
Curation through Audigent: Premium supply meets premium data
For advertisers seeking turnkey media solutions, PurpleLab audiences are now also available through Audigent’s curated deals. Audigent’s curated deals simplify media buying by packaging PurpleLab’s clinically grounded audiences with premium, brand-safe inventory, thus creating a unified package.
Instead of stitching together data and supply separately, media buyers can now access pre-built or custom-curated media deals where PurpleLab audiences are already integrated, ideal for health and wellness programming, premium CTV, or contextual content aligned to therapeutic areas. This approach gives marketers both efficiency and accuracy, streamlining execution while maintaining compliance and relevance.
“Bringing together PurpleLab’s clinically precise audiences with Experian’s powerful identity and activation capabilities, and pairing it with Audigent’s premium inventory, gives advertisers more than a turnkey solution. It’s the power to launch campaigns that truly resonate, with data and media working in harmony from day one to deliver both efficiency and impact.”
PurpleLabScott Ronay, VP, Advertising Sales
Real-world use cases: Accuracy with purpose
Closed-loop measurement, built for healthcare
Beyond targeting, the PurpleLab–Experian integration empowers advertisers to measure real-world outcomes, not just digital proxies. By utilizing tokenization, Experian enables ad exposure data to be securely matched back to de-identified health events within PurpleLab’s platform.
This means marketers can assess outcomes such as:
- Prescription lift among exposed vs. unexposed audiences
- Healthcare professional engagement and treatment initiation
- Patient adherence or follow-through behavior
This type of closed-loop reporting is critical in pharma, where traditional metrics like clicks or impressions do not reflect business impact. Now, with token-based match-back, brands can see whether their campaigns are driving real results, securely and compliantly.
Ready to reach the right patients and providers securely and at scale?
Explore PurpleLab audiences in the Experian data marketplace and Audigent curated deals to activate clinically grounded, privacy-compliant segments across CTV, display, mobile, and more.
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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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