Customer Segmentation in Marketing: Methods and Examples
Basics4 minInnovialabs editorial team
In short
Segmentation means splitting customers into groups with similar traits or needs so each group gets its own offer, ads and messages; the data comes from your CRM, web analytics and surveys.
What segmentation is
Customer segmentation is dividing your audience into groups where people are similar in a way that matters to the business: who they are, where they live, how they behave, what they need or how much revenue they bring.
Why bother: one message for everyone sounds equally average to each of them. When you know the segment, you can talk about its problem, in its language and in its channel.
The main methods
Demographic
Age, gender, family status, income, occupation. In B2B the equivalent is firmographics: industry, company size, the decision-maker's role.
Example: a baby goods store speaks differently to parents of newborns and parents of schoolchildren.
Geographic
Country, city, district, climate, language. It matters when delivery, prices, regulations or cultural context differ.
Example: a delivery service shows different zones and times for different parts of the city; a website serves content in Russian or Uzbek.
Behavioral
What people do: pages they viewed, what they bought, how often, which channel brought them, whether they open emails. This is often the most useful type, because behavior predicts the next purchase better than age.
Example: "viewed pricing but did not submit a request", "bought more than twice", "has not opened the app in 30 days".
Needs-based
Groups by the job the customer is trying to get done. Two people of the same age buy a laptop: one for gaming, the other for accounting. They need different arguments.
Data for this method usually comes from interviews, surveys and questions in request forms.
Value-based
Splitting by how much a customer brings: revenue, frequency, margin, predicted lifetime value (LTV). A popular technique is RFM analysis: Recency of the last purchase, Frequency and Monetary value.
Example: the most valuable customers get a personal manager and early access; occasional ones get reminders and an incentive to buy again.
Where the data comes from
| Source | What it provides |
|---|---|
| CRM and accounting system | Deal and purchase history, amounts, frequency, manager, lead source |
| Web and app analytics (GA4, Yandex Metrica) | On-site behavior: pages, events, traffic sources, devices |
| Email and messenger tools | Opens, clicks, unsubscribes, reactions to messages |
| Ad platforms | Audience demographics and interests, response to ads |
| Surveys and interviews | Needs, motives, reasons for choosing or rejecting |
| Website forms | Answers to 1–2 qualifying questions: task, company size, budget range |
Tip: start with the data you already have. A CRM and analytics are often enough for the first 3–5 segments.
How segments change your marketing
- Offers. Newcomers get a simple starter option; loyal customers get an extended package or a loyalty program.
- Ads. Different ads and landing pages for different needs; CRM segments uploaded as audiences, and existing buyers excluded.
- Email and messengers. Behavior-based messages — abandoned cart, repeat purchase, win-back — instead of one blast to the whole list.
- Website. Dedicated pages for industries or use cases.
- Sales. Handling priority and call scripts by segment.
How to start
- Pick a goal: more repeat purchases, lower cost per lead, higher average order value.
- Pick 1–2 methods closest to that goal. For repeat purchases — behavior and value; for ads to new customers — needs and geography.
- Describe 3–5 segments with clear membership rules.
- For each, define one difference in the offer or message.
- Compare results against a generic mailing or campaign.
Common mistakes
- Too many segments. If there is no separate message for each, it is just a spreadsheet.
- Segments without actions. A split that changes neither the offer nor the channel gives you nothing.
- Demographics only. Age and gender rarely explain why people buy.
- Stale data. Segments must be recalculated regularly, or customers get stuck in the wrong group.