Case Study: Retail Customer Segmentation

Applying K-Means to Real Business Problems

Lanjut Belajar

The Business Problem

A retail company wants to understand their customer base better to create targeted marketing campaigns. They have collected data on customer purchasing behavior over the past year.

Dataset Size

500

Customers

Real purchasing patterns

Features

6

Variables

Spending, frequency, etc.

Goal

Segment

Customers

For targeted marketing

Expected ROI

25%

Increase

In campaign effectiveness