9.5 Customer Segmentation Examples

Customer segmentation is one of the most common business uses of unsupervised learning. You take customer data — spending, frequency, recency, services used — and apply clustering to discover natural groups. Each segment can then receive tailored pricing, messaging, or offers instead of one-size-fits-all marketing.

A practical example: a telecom in Ethiopia clusters subscribers and finds segments like 'high-value data users', 'price-sensitive prepaid users', and 'at-risk customers' whose usage is dropping. The retention team then sends targeted offers to the at-risk group before they churn to a competitor.