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Customer Segmentation - Online Retail

Data Source

This dataset contains all purchases made for an online retail company based in the UK during an eight month period https://www.kaggle.com/datasets/vijayuv/onlineretail

Business/Marketing Goals

  • Reducing customer acquisition costs
  • Increasing customer lifetime value

Project Description

Customer segmentation is an important step toward these goals — by learning more about present and prospective customers, marketing practitioners can focus on tailoring strategies to acquire and retain these different types of customers, more effectively prospective customers.

Project Steps

  1. Data Analysis — From Raw data to RFM tabular data for clustering
  2. Clustering — K-means
  3. Clustering — Agglomerative
  4. Clustering — DBSCAN

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