Pharmaceutical Market Segmentation: Bases, Methods, and Pitfalls

Segmentation is easy to start and hard to use. Most brands have a segmentation deck. Fewer have segments that change which HCPs get which message in which channel. This article focuses on segmentation that drives action.

Three markets to segment

Pharma has three customer groups, each with its own segmentation:

The article on target marketing in pharma covers how segmentation leads into targeting and positioning. Here we focus on methods.

Segmentation methods

Rule-based

Groups defined by clear rules, such as specialty plus a volume threshold. Easy to explain and apply. Limited depth.

Behavioral

Groups based on prescribing patterns: early adopter, loyal to competitor, broad prescriber. Built from claims. The HCP segmentation models article compares behavioral and attitudinal approaches.

Attitudinal

Groups based on beliefs and needs from surveys, such as "evidence-driven" or "patient-experience focused." Rich insight, but you only know the segment for surveyed HCPs unless you build a model to project it.

Statistical clustering

Algorithms group HCPs or patients by many variables at once. Can find patterns humans miss. Results can be unstable and hard to explain.

Most useful segmentations combine a simple rule-based frame with behavioral or attitudinal layers.

Testing whether segments are useful

Good segments pass five checks:

1. Measurable. You can tell which segment an HCP or patient is in.
2. Substantial. The segment is large enough or valuable enough.
3. Different. Segments respond differently to messages or channels.
4. Reachable. You can target the segment with available data and media.
5. Stable. Membership does not flip every month.

The fourth check is where many segmentations fail. Attitudinal segments from a survey of 400 HCPs cannot be targeted across 20,000 HCPs unless you model them, and that model has error.

Using segments in media

• Build each segment as an NPI list or an audience definition.
• Assign messages and channel weight by segment.
• Report reach and outcomes by segment.
• Keep a holdout within key segments to measure effect.

Common mistakes

• Too many segments to act on.
• Segments that cannot be found in targetable data.
• Never refreshing segment membership.
• Treating a clustering output as fact without checking stability.

Practical takeaway

For each segment in your current deck, ask: can a media partner target it today, and would it get a different message or channel weight? If both answers are no, merge it into another segment.

Editorial note. Analysis and frameworks are the author's own and do not represent Acxiom or any current or former employer, client, or named platform. Examples labeled hypothetical or illustrative are not results from real campaigns. Nothing here is legal, regulatory, or medical advice.