Glossary
Customer segmentation
Dividing a customer base into groups that share meaningful traits so each can be targeted or served differently.
Customer segmentation splits a customer base into groups meaningful enough that a business would act differently toward each one, whether that means a different marketing message, a different service level, or a different product recommendation. It is the analytical basis for most targeting and personalization work.
Segments can be built on demographics, behavior (what people buy or how often they use a product), value (customer lifetime value or RFM analysis tiers), or needs uncovered through research, and are increasingly generated by clustering algorithms rather than fixed business rules. A customer data platform is often the system that stores and updates segment membership so it stays current as customer behavior changes, rather than being recalculated by hand.
Segmentation matters because treating every customer identically wastes budget on low-value customers and under-serves high-value ones. Common pitfalls are creating more segments than the organization can realistically act on, defining segments that do not actually predict different behavior, and letting segments go stale because membership is never refreshed as customers' behavior and value change over time.
Last reviewed September 19, 2026