
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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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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We spoke with experts from Audigent, Choreograph, Goodway Group, MiQ, Snowflake about the future of data and identity.

