Healthcare Segmentation Research in Short:
Healthcare segmentation research divides patients, providers, and other healthcare audiences into meaningful, detailed groups based on shared characteristics, needs, attitudes, and behaviors.
Common research approaches include demographic, psychographic, behavioral, and needs-based segmentation, helping healthcare brands better understand who they serve and why they make certain decisions. These insights can then be used to guide stronger, more personalized experiences, outreach, and retention strategies.
No two patients or providers are exactly alike. They’re a diverse mix with different needs, motivations, behaviors, and expectations that can vary dramatically based on specific factors. Treating a wide audience like just one large group can lead to missed opportunities, which is why healthcare segmentation research has become essential.
For healthcare brands, segmentation research is a strategic approach that categorizes audiences into specific segments, allowing for more targeted messaging, personalized care, and more effective marketing campaigns.
In this guide, we’ll break down the core types of healthcare segmentation, explore the benefits for both patient-facing and B2B healthcare brands, and share best practices for turning data and insights into measurable business ROI.
In market research, healthcare segmentation is the process of collecting data to divide a target audience into meaningful groups. These groups (also called segments) are divided into groups defined by variables that influence purchasing behaviors, pain points, preferences, and engagement with different healthcare services.
For healthcare brands, it’s smart to take segmentation beyond basic demographics. Researchers can examine a range of factors, from health status, utilization, care preferences, motivations, and attitudes toward different providers. By applying research methods like surveys, focus groups, and advanced analytics, researchers can identify patterns in data to reveal distinct audience profiles.
The goal is not just to classify audiences, but to identify characteristics that help healthcare brands better understand and target each segment. For example, a health insurance provider may discover that one segment is especially price-sensitive and majorly prefers affordable benefit options while another puts more value on comprehensive coverage or access to specific providers.
Market researchers can then translate these findings into profiles that inform areas like:
When done right (usually with an expert market research partner) healthcare segmentation research can help as a strategic tool in driving down marketing costs, improving customer retention, and driving more customer acquisition across all segments.
Like we said, segmentation is more than a marketing tactic. It can help brands strengthen customer and patient relationships while making smarter financial decisions overall.
When organizations actually understand the different groups they serve, they can better tailor their messaging, services, and experiences around audience value. So, the goal of segmentation here isn’t to reach fewer people, but to understand your audience’s differences so you can reach them more effectively.
The way to look at segmentation and retention is like this: When trying to keep patients loyal, it’s not always about changing the service itself, but it’s about changing how that service is delivered, positioned, or communicated to different groups.
Instead of copy and paste campaigns, thanks to segmentation, brands can use targeted, adapted approaches that don’t make customers feel like they’re lumped in with the rest, going through an impersonal experience.
This can ultimately drive stronger retention and loyalty, as is supported by recent data.
Segmentation research allows brands to improve their approach to bringing in new customers. By understanding which groups exist within a target market, it pushes organizations to focus specific marketing and strategies on audiences that are the most likely to need, value, or engage with their services.
Factors like demographics, coverage desires, and health needs can all influence how an audience responds to a campaign. Segmentation helps identify those differences and groups them out so healthcare brands can adjust their messaging and positioning accordingly.
And rather than spending the same resources trying to reach everyone, organizations can prioritize high-potential segments and create strategies around the most influential pain points and motivations.
Research Tip: Segmentation is most valuable when the findings lead to different decisions. Instead of seeing this as a challenge, remember that this will ultimately help your organization better tailor messaging, outreach, and experiences to those who matter most: your patients.
Healthcare segmentation research typically starts with the basic part of grouping patients by specific factors. Rather than relying on one characteristic alone, these multiple factors dive into the fine details of who audiences are, what they need, and how they make healthcare decisions.
Demographics segmentation is the most common way to segment (not just in healthcare but all segmentation research) because it’s just as effective as it is simple. This straightforward approach provides a useful foundation for understanding basic differences across a target population, which is extremely valuable for shaping marketing or outreach.
These segments can be based on:
For instance, a healthcare system may find that their younger patients are more interested in mobile scheduling and virtual resources, while older patients place greater value on in-person appointments. These findings can not only help the system figure out how to divide their resources in a better way so that they can actually meet everyone’s needs.
Psychographics segmentation looks beyond who an audience is to understand why they make certain decisions. It groups audiences based on their values, beliefs, attitudes, and lifestyles that influence their relationship with healthcare.
Psychographic research can explore differences in:
Research Tip: Using this approach is valuable to create brand messaging that targets audiences in a more personal and authentic way. By better understanding the motivations and mindsets of their audience, engaging with audiences can be done on a deeper level.
Behavioral segmentation focuses on how your target audience interacts with your services or healthcare services in general. Or, in other words, what patients and customers actually do and how this relates to your services.
Instead of grouping an audience according to characteristics or attitude, this approach looks at patterns of engagement, usage, and decision-making.
Audience segments can be created based on behaviors like:
For healthcare brands, behavioral data most often leads to actionable insights since it allows brands to identify audiences who are likely to engage with their services and who is least likely to (based on behavior). It can help with client retention by designing customer loyalty programs for consistent users, for example.
Needs-based segmentation is based on identifying healthcare requirements instead of other factors.
Rather than focusing primarily on demographic characteristics or past behaviors, this approach can help organizations identify groups with specific, different healthcare priorities and provide specialized help.
Those needs may include:
For example, a healthcare organization in a big city that targets a wider patient base may uncover one segment that primarily needs better access, but have been struggling to get the help they need because they’re such a small sub-group. With this new knowledge, the organization can shift resources to better serve that specific population.
Segmentation Type | Key Question | Common Variables | Example |
|---|---|---|---|
Demographic | Who are they? | Age, income, education location | Comparing care preferences across age groups |
Psychographic | Why do they make certain decisions? | Values, attitudes, motivations, beliefs | Identifying patients who prioritize convenience vs. provider relationships |
Behavioral | What do they do? | Usage, engagement, visits, switching | Segmenting frequent preventative care vs. reactive care users |
Needs-Based | What do they need? | Care requirements, services, support | Identifying rural patients needing routine vs. specialized care access |
When it comes to segmentation research methodologies, what’s great is there is no single “right” method or one-size-fits-all approach to executing a project. The right approach depends on your target audience, business goals, and the types of insights needed to build meaningful segments. So, these methodologies are designed to be versatile.
Even more, healthcare organizations can also combine multiple methodologies to better understand what drives behaviors, preferences, and decisions.
Online surveys are one of the most effective ways to gather quantitative data from a large audience. With the right sampling strategy, surveys can also capture nuanced differences within broader samples and across patients, providers, members, or other healthcare audiences.
Healthcare segmentation surveys can explore factors like:
For example, a healthcare organization could survey patients in rural US communities about their access to robust prenatal care. Segmentation responses by factors like distance to providers, transportation access, insurance coverage, and educational resources provided could reveal which audience segments experience the most struggles with care and where additional services are needed.
While surveys are great for large-scale feedback, in-depth interviews provide deeper insights from fewer participants. By speaking with a specific sample (chosen based on your goals), healthcare brands can uncover deeper motivations and decisions that are difficult to capture through quantitative research along
For example, healthcare IDIs can explore:
These interviews provide major nuance in the responses they get from their sample, which can help brands utilize real experience and perspectives in their strategy shifts.
Advanced analytics techniques (like cluster analysis, factor analysis, and predictive modeling) can take raw data and turn it into audience segments your brand can use.
These approaches help look at patterns that aren’t obvious at first, like how demographics and psychographics might show a specific audience segment that cares about predictive care or service usage.
Depending on the research goals, advanced analytics also can help healthcare organizations:
Here is where segmentation can become especially actionable because advanced analytics give segments deeper, relatable substance rather than simply describing different audiences.
Method | Best For | Type of Insight | Example Healthcare Use |
|---|---|---|---|
Online surveys | Measuring large audiences and identifying patterns | Primarily quantitative | Segmenting health plan members by needs, preferences, and likelihood to switch |
In-depth interviews | Understanding motivations and experiences | Qualitative | Exploring why certain patient groups delay care or prefer specific providers |
Advanced analytics | Building and predicting distinct audience segments | Quantitative/modeling | Identifying patient groups most likely to adopt telehealth or respond to outreach |
Ultimately, healthcare segmentation research helps companies move beyond a one-size-fits-all mindset to better understand the audiences they are serving. With the right insights, healthcare brands not only can improve messaging, but also strengthen patient experience and close care gaps.
Drive Research is a full-service healthcare market research company that helps organizations understand the audience segments that matter most. From survey design and recruitment to providing strategic recommendations, our team can manage the entire segmentation research process so you can focus on turning your findings into more informed business decisions.
Contact us today and get a quote!
