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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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 Georgia Campbell, Head of Strategic Partnerships at Kontext. What types of audiences does Kontext provide, and what are some top use cases for these insights in marketing strategies? Kontext leverages its 1st-party, deterministic shopping data to generate real-time online audiences. What sets Kontext apart is our ability to see the entire consumer journey, from shopping interest to intent and purchases, at a SKU-level. This comprehensive visibility allows us to create purchase-based audiences across various consumer verticals, such as frequent online shoppers, consumers shopping for beauty, segments using Mastercard, or Black Friday enthusiasts. Our data engine, built on a foundation of approximately 100 million consumer profiles and over 10 billion full-funnel, real-time shopping events, enables the creation of precise audience segments. This real-time 1st-party shopper data is invaluable for partners aiming to understand and engage with consumers more effectively. Whether a brand wants to activate past shoppers in a specific category or reach new audiences with a propensity to buy, Kontext provides the insights needed to make informed decisions. Some examples of audience types include these (and hundreds more): In-Market Shoppers: Consumers showing high intent to purchase specific categories, like skincare or electronics, based on recent online behavior. Past Purchasers: Shoppers who have made verified purchases within specific time frames, such as beauty products in the last 18 months. Frequent Shoppers: High-frequency buyers identified through repeated purchasing behaviors. Seasonal Shoppers: Consumers active during key shopping seasons, like Black Friday, Mother’s Day, Valentine’s Day, etc Premium Buyers: Shoppers who used a premium CC (eg. Amex) and a higher AOV (average order value) Beauty Buyers: an audience that has indicated intent to purchase beauty products (deterministic past purchasers also avail) By using Kontext data, brands can identify the right audiences across multiple verticals, such as retail, CPG, health & wellness, auto, business, energy & utility, financial, and travel. Additionally, our collaboration with Experian allows further refinement of these audiences through layered data from specialty categories like demographics, lifestyle & interests, mobile location, and TV viewing habits. How is Kontext’s data sourced, and what differentiates it from other data providers? Kontext’s data is unique because it is deterministic, 1st-party, and collected as transactions occur. We capture the entire path-to-purchase, down to the SKU-level product detail, across 100 million consumer profiles and more than 10 billion real-time shopping events. Our proprietary technology, embedded in widgets across our 5 million premium online destinations, tracks the full consumer journey—from reading an article of interest to clicking on our dynamic commerce modules, adding items to cart, and completing purchases. This real-time data collection ensures there is no lag between digital events and their connection to consumer profiles. Unlike other providers, we do not aggregate data from multiple platforms; instead, we focus on building our models and insights based on authentic online consumer behavior. Our data stands out due to its: Deterministic Nature: We capture 1st-party data as transactions occur (all in real time) Full-Funnel Coverage: We capture consumer journeys from awareness to purchase, providing a complete view of consumer behavior. Real-Time Insights: Our data engine processes events in real-time, enabling timely and relevant marketing actions. How does Kontext ensure the accuracy and reliability of its audience data? Kontext ensures accuracy and reliability through our unique technology and direct data sourcing. By not aggregating data from other platforms, we maintain control over the quality and integrity of our insights. Our continuous investment in refining our models around online consumer behavior further enhances the precision of our audience data. What types of brands or verticals might resonate the most with Kontext audiences for activation? Any brand looking to understand and activate online shopping behavior – informed by 1st-party transaction data – will resonate with Kontext audiences. Essentially, any vertical that benefits from understanding real-time shopping behaviors, such as retail, health & wellness, auto, and financial services, will find our data invaluable. We have particularly strong insights in beauty, hair care, health & wellness, and values-based online shopping habits, as well as the food & beverage space. Retail & Consumer Goods: Leveraging shopping behavior data for targeted campaigns. Health & Wellness: Identifying consumers with specific health and wellness interests. Automotive: Targeting potential buyers of electric vehicles or eco-friendly products. Financial Services: Engaging high-value shoppers with premium credit card usage. And many more How does Kontext’s data help advertisers navigate the challenges posed by the deprecation of third-party cookies? As third-party cookies become less reliable, Kontext’s 1st-party data becomes invaluable. Our deterministic data engine, which does not rely on cookies, offers: Direct Consumer Insights: Accurate and consented data directly from consumer interactions. Privacy Compliance: Our data collection methods are fully compliant with privacy regulations, ensuring secure usage. Cross-Device Coverage: We use verified digital identifiers, allowing seamless unification and targeting across multiple devices. What measures does Kontext take to maintain data privacy and compliance, and how does this benefit advertisers? Data privacy and compliance are fundamental to Kontext. We meet or exceed all privacy compliance and security standards, ensuring that our data sourcing and usage are transparent and comply with regulations (CCPA, CPRA, VCDPA, etc). Kontext prioritizes data privacy and compliance through: Consented Data Collection: All data is collected with explicit consumer consent. Robust Security Protocols: Data is encrypted and secured with industry-leading practices. Compliance with Regulations: We adhere to global privacy laws, including GDPR and CCPA. User Control: Consumers have the ability to opt-out and manage their data preferences. Can you share success stories / use-cases where advertisers significantly improved their campaigns using Kontext’s data? To give you a sense of how Kontext data can be applied, here are two use-cases: Beauty Brand Campaign: An agency hoping to activate an audience of beauty purchasers for a Major Beauty Brand could utilize Kontext’s custom audience of high-value beauty product purchasers. By targeting those consumers who had bought similar products in the last 12 months and had an average cart size of over $50, the campaign would significantly increase performance and ROAS. Electric Vehicle Launch: For a major auto manufacturer’s EV launch, Kontext could be used to identify eco-friendly consumers who had not yet purchased an EV but had shown interest in sustainable products. This precise targeting could lead to higher engagement and conversion rates for the campaign. Thanks for the interview. Any recommendations for our readers if they want to learn more? For those interested in learning more about Kontext, reach out for a personalized consultation. Contact us About our expert Georgia Campbell, Head of Strategic Partnerships, Kontext In her current role as Head of Strategic Partnerships at Kontext, Georgia plays a pivotal role in shaping the company’s strategic direction within the data space. With a deep-seated expertise in leveraging data to drive impact for companies, Georgia has been forging key partnerships that enhance the effectiveness and reach of Kontext’s offerings. Georgia comes from a background in emerging technology, where she has been focused on cultivating partnerships and employing data-driven approaches to spearhead market expansion efforts. She started her career in finance, managing investments across equity, debt, and alternative assets at Brown Advisory. In this Q&A, Georgia shares her insights on Kontext’s Onboarding partnership with Experian, offering perspective on how Kontext’s unique insights can unlock new opportunities for advertisers and brands alike. Latest posts
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