At A Glance
Healthcare marketers are spending record amounts on pharma advertising, but most still can't connect campaign exposure to prescribing outcomes. This article explains why fragmented data, identity, and measurement systems break the link between patient (DTC) and healthcare professional (HCP) audiences, and the infrastructure that closes that gap.Originally published in AdExchanger
Key takeaways
- Pharma digital ad spend is tracking between $22 billion and $26 billion in 2026, yet most brands still can’t connect ad exposure to prescribing behavior.
- DTC and HCP teams need to agree on a shared measurement framework before a campaign launches, not after, so performance can be judged on one standard.
- Experian’s identity infrastructure keeps DTC and HCP data governed separately through two distinct paths while still making cross-audience measurement possible.
- Experian’s Audience Engine connects audience building to activation, giving teams access to premium publisher inventory and a marketplace of 19+ verified health data partners.
Healthcare marketing teams are spending more than ever. Pharma digital ad spend is now tracking between $22 billion and $26 billion in 2026, with connected TV (CTV) overtaking search as the most noticed healthcare ad channel. Yet most brands still can’t draw a straight line from campaign exposure to a filled prescription.
The problem isn’t budget or creative. It’s a structural gap in how healthcare marketers connect data, identity, and measurement across patient (DTC) and healthcare professional (HCP) audiences.
That gap is widening as campaigns grow more complex. A brand running a simultaneous patient (DTC) push and healthcare professional (HCP) engagement program is running two disconnected programs with different data sources, identity schemas, agency relationships, and definitions of success. When a patient sees a CTV ad and their cardiologist receives a targeted digital engagement the same week, almost no brand can confirm that those two exposures happened, let alone measure their combined effect on prescribing behavior.
Why is data fragmentation becoming a bigger challenge for healthcare marketers?
Data fragmentation is becoming a bigger challenge for healthcare marketers because the accuracy pharma brands are paying for in digital media doesn’t match what most measurement stacks can deliver. As pharma shifts spend from linear television to digital channels, the expectation of accuracy comes with it. Brands can no longer accept “we reached the right demographic” as a measurement answer when they are paying programmatic CPMs and expecting outcomes measured in script lift.
The typical healthcare marketer is working with three or four disconnected data environments. Consumer data lives in one place. Claims and National Provider Identifier (NPI) records live in another. Media reporting from the agency is in a third. Analytics and measurement are downstream of all of them, often running on a different timeline. Each handoff introduces the potential for data loss, and those losses compound across a campaign flight.
This creates a reporting picture that tells you what happened in each channel but not what worked across them. That distinction matters enormously when the goal isn’t impressions but activation, adherence, or prescribing behavior.
The missing layer in pharma marketing. Watch our Q&A
Does fixing healthcare data fragmentation mean merging DTC and HCP data together?
No, merging DTC and HCP data together isn’t the answer to healthcare data fragmentation. Healthcare data environments have strict governance requirements, and the separation of DTC and HCP data is both a regulatory and a strategic necessity. Merging DTC and HCP data into a single undifferentiated pool is not a goal worth pursuing.
What healthcare marketers actually need is a shared infrastructure that lets disparate data environments speak a common language without eliminating the boundaries between them. Three elements make that possible:
Experian’s identity infrastructure is built on this principle, acting as a neutral, interoperable workflow layer. For DTC audiences, that means high-fidelity tokenized matching that preserves accuracy from onboarding through activation and into partner-enabled measurement. For HCP audiences, it means deterministic NPI-based resolution using verified professional attributes including specialty, practice location, and professional address. These are two distinct identity paths, governed to keep DTC and HCP data separate while enabling measurement across both.
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
What does a connected view of DTC and HCP audiences look like in healthcare marketing?
A connected view means DTC and HCP audiences in healthcare marketing runs on identity workflows matched to what each requires, deterministic resolution for HCPs and high-fidelity matching for DTC, with both feeding into shared measurement instead of siloed reporting. Building this kind of connected infrastructure isn’t a one-quarter initiative, but three questions show you where your program stands today.
Why is infrastructure the foundation for durable healthcare marketing programs?
Infrastructure is the foundation for durable healthcare marketing programs because it’s what lets audience planning, activation, and measurement function as one connected system instead of three separate handoffs that break down under pressure. As healthcare marketing gets more competitive, regulated, and measurable, that connected system is what keeps campaigns from starting over each time.
A connected view of DTC and HCP audiences in healthcare, with the proper guardrails in place, is a strategic decision about how your brand wants to compete. The technology and the partner ecosystem exist to make it real. The question is whether your marketing organization is structured to take advantage of it.
Ready to build a connected healthcare identity strategy?
Our team works with pharma brands to align identity, audience, and measurement across DTC and HCP programs. If you’re ready to close the gap between data and outcomes, let’s talk.
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.
FAQs
Most pharma brands can’t connect a CTV ad exposure to a prescribing decision because their DTC and HCP data runs through three or four disconnected environments: consumer data, claims and NPI records, agency media reporting, and downstream analytics. Each handoff between those systems introduces potential data loss, and those losses add up across a campaign flight, leaving brands with channel-level reporting instead of a connected view of what actually moved prescribing behavior.
Building a connected identity strategy doesn’t mean combining DTC and HCP data into one data set. Healthcare data environments carry strict governance requirements, so DTC and HCP data need to stay separate for both regulatory and strategic reasons. A connected identity strategy links those separate environments through interoperable workflows rather than merging them into one data set.
Experian helps pharma brands connect DTC and HCP measurement without merging their data by running two distinct, governed identity paths: high-fidelity tokenized matching for DTC audiences and deterministic NPI-based resolution for HCP audiences, built on verified professional attributes like specialty and practice location. That structure lets brands measure performance across both audiences while keeping the underlying data separate.
The difference between deterministic and probabilistic matching in healthcare marketing comes down to certainty: probabilistic matching can support large-scale DTC reach where some statistical estimation is acceptable, while HCP targeting calls for certainty that only deterministic matching, typically based on verified NPI data, can provide. As healthcare audiences get more specific, the cost of an unverified match rises, which is why HCP resolution leans deterministic.
If a healthcare marketing team’s audience strategy isn’t translating into activation, the first thing to check is whether those audience segments can actually reach live publisher inventory. A lot of audience development happens in a spreadsheet or analytics tool and then stalls at activation because the IDs never connect to real media. Experian’s Audience Engine builds audience creation, onboarding, and activation into one workflow, backed by a marketplace of 19+ verified health data partners.
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Pausing to assess what comes next. For a long time, growth has been measured almost entirely through media dollars. That mindset is understandable. Media is familiar, it’s easy to quantify. It shows up clearly in negotiations and revenue reports. But viewing commerce media networks purely as media sales engines creates long-term risk. It can strain brand relationships, limit innovation, and distract from what commerce media networks actually do better than almost anyone else: understand consumers deeply. Signals are the real asset Commerce platforms sit close to decision-making. They see what people search for, what they consider, what they buy, and when those behaviors change. Those signals are incredibly powerful. And yet, most networks only activate them inside their own walled environments. That’s a missed opportunity. Curation represents the next area of growth for commerce media networks, and it doesn’t require replacing or diminishing existing media revenue. In fact, it complements it. No single commerce media network has all the data needed to give advertisers the scale and reach they’re looking for. And no advertiser wants to recreate the same audience in dozens of disconnected platforms. That friction creates inefficiency and slows decision-making. Why collaboration supports sustainable growth The opportunity is to look beyond first-party data alone and start thinking about collaboration. Second-party data. Data partnerships. Signal sharing done responsibly and transparently. Imagine an advertiser defining an audience once and being able to understand and reach that audience across multiple commerce environments. Not through a series of disconnected buys, but through a more consistent approach built on shared understanding leading to increased reach and more impactful campaigns. That’s easier for advertisers to manage, and it creates an additional revenue stream for commerce media networks that complements media sales rather than competing with them. Curation strengthens media, it doesn’t replace it Media will always play an important role. There is clear value in custom experiences tied directly to a commerce environment. Think buyouts, sponsored experiences, custom creative integrations. Those are situations where brands want to work closely with the network itself. But the signals commerce media networks hold don’t need to be limited to those moments. Those signals can be monetized independently through data products, co-ops, and partnerships that extend their value into other channels. That’s how curation adds value without undercutting existing revenue. A practical path forward for commerce media leaders For commerce media leaders thinking about their next phase of growth, the focus should be on sustainability. Building a massive media operation takes time and investment. Data-driven revenue streams can be introduced more quickly, require fewer internal resources, and provide steadier margins. It’s a practical approach. Use signal-based revenue to fund growth. Let that revenue support investment in tooling, talent, and media innovation over time. Bootstrapping, in the truest sense. Why transparency matters early There’s also a broader responsibility here. In many advertising channels, transparency followed growth, often after pressure from the market. Commerce media networks have an opportunity to do this differently. To lead with transparency from the start. To be clear with brands and consumers about how data is used, how signals are created, and how value flows through the ecosystem. Because the reality is this: commerce media networks are holding some of the most valuable intent signals in the market today. But those signals don’t retain their value in isolation. If they aren’t enhanced, combined, and made accessible in the right ways, someone else will step in to do it. And when that happens, control shifts away from the source. The bottom line The next chapter of commerce media isn’t just about selling more media alone. It’s about recognizing the value of the signals already in hand, working together to make them more useful, and building additional revenue streams that support long-term growth. That’s how commerce media networks grow without eating their own lunch. 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. Latest posts
