Summary Description
This project contains code for customer segmentation with K means clustering algorithm and segment analysis. A blog describing the project can be found here. In short: K Means clustering is used to build the segmentation model on ecommerce data set. The model is built in R. The model is based on frequency, recency, and monetary segmentation.
Objective
The objective of the project:
- To provide a reproducible logic for K means customer segmentation that can be applied to different data sets;
- To showcase some ideas for further analysis of the segments like assessing the segment value for the business and providing basic code for geospatial visualisation of the dominant segments per.