At A Glance
Pharma marketers need privacy-first identity workflows that keep DTC and HCP paths separate while connecting activation and measurement. Experian’s pharma marketing playbook shows how brands can prepare audiences, coordinate approved destinations, and build measurement into the workflow so teams can connect media exposure to trusted outcomes.Pharma marketers need to build more meaningful relationships with patients (DTC), caregivers, and healthcare professionals (HCP) across a health journey that spans many channels, partners, and decision moments.
That creates an operational challenge. Data, activation, and measurement often sit with different vendors, each with its own rules, IDs, and handoffs. DTC and HCP campaigns need separate identity paths, but both still need to support the same brand objective. Pharma marketing teams need a clearer way to connect audience strategy, media exposure, and outcomes without adding risk or confusion. That starts with identity, not as a single system for every audience, but as a governed workflow that keeps DTC and HCP paths separate and coordinated.
In our pharma marketing playbook, “From onboarding to outcomes: The privacy-first independent identity workflow for pharma marketing,” we show pharma brands how to build privacy-first workflows that connect identity, activation, and measurement across the healthcare ecosystem.
From onboarding to outcomes
Pharma marketing teams need identity workflows that can support accurate audience creation, governed activation, and partner-enabled measurement without combining DTC and HCP identity paths.
Download our pharma marketing playbook to help your team:
- Plan DTC and HCP identity strategies with clearer separation
- Prepare audiences for activation across approved channels and partners
- Evaluate audience quality, usable reach, and governance
Here are three priorities pharma marketing teams can use to build more governed, measurable engagement.
1. Why should pharma marketers keep DTC and HCP identity workflows separate?
Pharma marketers should keep DTC and HCP identity workflows separate because each audience requires different data signals, activation paths, and measurement methods. Separate workflows give teams clearer governance controls while helping DTC and HCP campaigns support the same brand objective.
DTC and HCP campaigns often support the same brand objective, but they need separate ways to manage data, reach audiences, and measure results. That’s where identity plays a central role. It gives pharma teams a governed way to keep DTC and HCP data, activation, and measurement separate while coordinating both toward the same goal, like driving drug awareness and impacting prescribing behavior.
The missing layer in pharma marketing. Watch our Q&A
DTC activation depends on privacy-safe identity, which can include tokenization, aggregated audience logic, and non-clinical consumer context. This helps brands better understand patients and caregivers as people, not only as condition-defined audiences.
HCP activation depends on a different foundation. It may use signals such as National Provider Identifier (NPI), specialty, practice location, partner identifiers, and other verified attributes. When DTC and HCP workflows are treated as one system, you can create governance risk, weaken audience logic, and make measurement harder to defend. Keeping them separate gives teams clearer controls, audience planning, and a stronger way to show how both efforts support the same brand goal.
2. How can pharma marketing teams make audiences activation-ready with privacy-safe identity?
Pharma teams can make audiences activation-ready by translating fragmented inputs into governed audience workflows that can be matched, activated, separated, and measured. Privacy-safe identity helps prepare DTC and HCP audiences for approved channels and partners while maintaining the separation each workflow requires.
Privacy-safe identity helps prepare DTC and HCP audiences for approved channels and partners while maintaining the separation each workflow requires.
After separating DTC and HCP data, activation, and measurement, the next step is making each audience ready to use across approved channels and partners. Pharma audiences rarely start in a format that is ready for activation across platforms, publishers, and partners. Inputs may come from partner audiences, platform identifiers, CRM systems, privacy-safe consumer signals, HCP attributes, or partner-provided data.
Those inputs need to be translated into usable audiences through governed identity workflows. For DTC campaigns, activation readiness may include cohort construction, non-clinical enrichment, caregiver logic, tokenized matching, and exclusion rules. For HCP campaigns, it may include verified identity inputs such as NPI, specialty, practice location, and professional address.
A strong workflow answers four questions:
- Can the audience be matched accurately?
- Can it be activated across approved destinations?
- Can DTC and HCP separation be maintained?
- Can the audience connect back to verification and measurement?
When the answer is yes, pharma brands have a stronger foundation for audience quality, usable reach, and cross-channel activation.
3. Why should pharma marketers build measurement into the workflow from the start?
Pharma marketers should build measurement into the workflow from the start because campaign exposure needs to connect back to permitted identity frameworks and partner-held outcomes. Planning measurement before activation gives teams a clearer, more explainable way to evaluate how audience strategy, media exposure, and outcomes work together.
Making audiences ready for activation is only one part of the job. Pharma teams also need a clear way to connect media exposure to outcomes, and that measurement plan needs to be in place before a campaign goes live.
Pharma measurement requires more than knowing whether media ran. Brands need to connect exposure signals to permitted identity frameworks and partner-held outcomes in a way that is accurate, governed, and explainable. Those outcomes may include script lift, qualified HCP engagement, audience quality, and exposure-based HCP reporting where appropriate.
Clean rooms and partner-enabled workflows can help connect exposure, identity, and outcomes in a governed way. For DTC campaigns, this may involve linking tokenized audience or exposure data to a measurement partner environment. For HCP campaigns, this may involve resolving exposure back to HCP identity using NPI, professional address, specialty, practice location, partner identifiers, or measurement partner IDs.
When measurement is planned before activation begins, teams gain a clearer view of how audience strategy, media exposure, identity, and outcomes connect.
How does Experian help pharma marketing teams connect identity, activation, and measurement?
Experian helps pharma marketing teams connect identity, activation, and measurement by serving as a neutral, interoperable workflow layer across data, onboarding, approved destinations, and measurement partners. Experian helps teams keep DTC and HCP identity paths separate while preserving the connection between activation and outcomes. Our role centers on three practical needs. We help teams:
As a neutral, interoperable identity, data, and workflow layer, we help brands translate fragmented inputs into activation-ready audiences, connect those audiences to approved destinations, and preserve the structure needed to evaluate performance.
Download Experian’s pharma marketing playbook
These three priorities give pharma teams a place to start. Our full pharma marketing playbook goes deeper into how pharma brands can build privacy-first workflows across onboarding, activation, sequencing, and partner-enabled measurement. Inside the playbook, you’ll find a more detailed look at how to:
- Keep DTC and HCP identity strategies separate
- Prepare audiences for activation across channels
- Evaluate audience quality and governance
- Connect exposure to trusted outcomes through partner-enabled measurement
For pharma marketers working across fragmented data, platforms, and partner ecosystems, our playbook offers a framework for moving from fragmented inputs to more governed activation and stronger measurement readiness. Download our full playbook to learn how privacy-first identity workflows can help pharma brands connect onboarding, activation, and outcomes.
FAQs
Pharma marketers need separate DTC and HCP identity workflows because patients, caregivers, and healthcare professionals require different data signals, activation paths, and measurement methods. Keeping those paths separate helps teams maintain governance while coordinating both efforts toward the same brand objective.
Privacy-safe identity helps pharma marketers translate audience inputs into activation-ready audiences without treating DTC and HCP workflows as one system. It can support tokenized matching, cohort construction, verified HCP identity inputs, and the separation needed to connect activation with trusted outcomes.
Experian helps pharma brands connect data, identity, onboarding, activation, and measurement across a fragmented partner ecosystem. Experian’s identity foundation and workflow connectivity help teams prepare audiences for approved destinations while preserving the structure needed to evaluate trusted outcomes.
Measurement planning should happen before activation begins. When pharma teams define measurement early, they can connect audience strategy, media exposure, identity, and partner-held outcomes in a more accurate, governed, and explainable way.
Pharma marketers should look for audiences that can be matched accurately, activated across approved destinations, kept separate across DTC and HCP workflows, and connected back to verification and measurement. This gives teams a stronger foundation for audience quality, usable reach, and cross-channel activation.
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Learn how brands can close the activation gap by carrying audience intelligence from identity to execution and outcomes across channels.
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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