Healthcare marketers are under pressure to do more than deliver reach. They need to show that their targeting strategy reflects real patient and provider behavior, stands up to scrutiny and drives measurable performance. Yet many still have limited visibility into how audiences are built. It is not just a data problem. It is also a methodology problem. Legacy audience providers rely largely on open claims datasets that cover less than 40% of market activity, then use predictive modeling techniques that offer little insight into how segments are actually defined.
That problem often starts with the data itself. Traditional audience segments are frequently built from open claims and other narrow inputs that capture only part of the patient journey. Key moments, such as confirmed diagnoses, treatment changes and follow-up care, may never make it into the audience definition. To compensate, vendors often rely on predictive models and proxy signals to estimate who belongs in a segment.
For broad populations, that may appear workable and predictions may be more reliable, but for rare diseases and more clinically nuanced cohorts, it can introduce waste, uncertainty and missed opportunity.
A better approach starts with observation, not approximation. Instead of projecting outward from a limited seed set, marketers can define cohorts from larger patient populations grounded in real clinical activity. Here is an example of what that looks like with type 2 diabetes as an example:
That changes the quality of the audience from the start. Definitions are stronger because they reflect what actually happened across the patient journey, not what a model inferred. Marketers also gain a clearer understanding of how an audience was built, which makes performance easier to trust and investment decisions easier to defend.
That shift is exactly what HealthVerity Audiences was built to support. We build deterministic, privacy-compliant audiences from real diagnoses, procedures and prescription activity, not modeled lookalikes.
Drawing from the same broad healthcare data ecosystem trusted across life sciences, we help marketers reach audiences with greater precision, stronger transparency and a more comprehensive view of patient behavior. The result is a targeting strategy with stronger signal quality, better alignment to campaign goals and fewer tradeoffs between scale and confidence.
The message for marketers is straightforward: better audience strategy starts with better source data. As teams evaluate audience partners, they should press for clarity on data coverage, methodology and the real-world signals behind each segment. Explore HealthVerity Audiences to see how verified, privacy-compliant targeting can help you reach the right populations with greater confidence.