---
title: "What is customer segmentation?"
description: "Customer segmentation divides an existing customer base into smaller groups based on shared demographic, geographic, psychographic, behavioral, firmographic or value-based characteristics. Unlike market segmentation, it uses first-party data about existing customers, and a customer can belong to multiple segments at once. The guide distinguishes rule-based, survey-based, RFM, k-means, decision-tree and AI/ML-driven methods, with choices depending on data maturity and business goals. Effective implementation defines an objective, audits and unifies sources, resolves duplicate identities, selects a method, validates segments and measures outcomes. It also describes Databricks' CustomerLake capabilities, including governed Customer 360, agentic identity resolution, natural-language segmentation through Genie and bidirectional activation connectors; stated benefits include improved retention, conversion, customer lifetime value and marketing efficiency."
---

# What is customer segmentation?

[Databricks](https://yomu.fyi/company/databricks) · Databricks Staff · Jun 16, 2026

**Type:** Explainer

## Summary

Customer segmentation divides an existing customer base into smaller groups based on shared demographic, geographic, psychographic, behavioral, firmographic or value-based characteristics. Unlike market segmentation, it uses first-party data about existing customers, and a customer can belong to multiple segments at once. The guide distinguishes rule-based, survey-based, RFM, k-means, decision-tree and AI/ML-driven methods, with choices depending on data maturity and business goals. Effective implementation defines an objective, audits and unifies sources, resolves duplicate identities, selects a method, validates segments and measures outcomes. It also describes Databricks' CustomerLake capabilities, including governed Customer 360, agentic identity resolution, natural-language segmentation through Genie and bidirectional activation connectors; stated benefits include improved retention, conversion, customer lifetime value and marketing efficiency.

## Context

Businesses need to move beyond one-size-fits-all engagement and use customer data to improve retention, conversion, lifetime value, advertising efficiency, product decisions, pricing and service differentiation. The guide also distinguishes this work from market segmentation, which covers potential customers and typically uses external research or third-party data.

## Approach / What changed

The guide presents six segmentation categories, several methods, actionable segment examples and a workflow covering goal definition, data auditing, unification, identity resolution, method selection, validation and measurement. It also describes Databricks' CustomerLake as a governed platform for unified profiles, agentic identity resolution, natural-language audience creation and segment activation.

## Takeaways

- Customer segmentation focuses on existing customers and first-party data, while market segmentation covers a broader potential market and commonly uses research, surveys or third-party data.
- Rule-based, survey-based, RFM, k-means, decision-tree and AI/ML-driven methods serve different needs; AI/ML can score propensity, churn likelihood, predicted lifetime value and offer responsiveness across many variables.
- A customer may belong to overlapping segments, such as both high-value and renewal-risk, allowing different actions to be applied without treating the labels as mutually exclusive.

**Tags:** [Data Analytics](https://yomu.fyi/topic/data-analytics), [Databricks](https://yomu.fyi/topic/databricks), [Machine Learning](https://yomu.fyi/topic/machine-learning)

- Source: [Databricks](https://www.databricks.com/blog/what-is-customer-segmentation)
- Source URL: https://www.databricks.com/blog/what-is-customer-segmentation
- Ingested by Yomu: 2026-08-30T17:02:30.147Z

[Read original post](https://www.databricks.com/blog/what-is-customer-segmentation)