RFM_Analysis_KMeans

This a simple RFM Analysis Using K Means Clustering On A Publicly Available Brazilian e Commerce Dataset on Kaggle

This repo is accompanied by a Medium article availabe here: https://zhijingeu.medium.com/building-a-rfm-segmentation-with-python-k-means-clustering-3a8f3c202fa5

I've avoided duplicating the data which is available from Kaggle here: https://www.kaggle.com/datasets/olistbr/brazilian-ecommerce where the relevant datasets are: olist_customers_dataset.csv; olist_orders_dataset.csv ; olist_order_items_dataset.csv ; olist_order_payments_dataset.csv ; olist_products_dataset.csv

Related Repositories

Consider checking out my other repositories too ! :

1. https://github.com/ZhijingEu/Cohort_Retention_Analysis - This is an implementation of a custom Customer Retention Analysis class with a number of helpful methods to generate customer churn insights frequently used for marketing analytics to understand the growth and change of an organisation's customer base (new vs retained vs lost)
2. https://github.com/ZhijingEu/Customer_Lifetime_Values_BTYD_Modelling_PyMCMarketing - This a simple Customer Lifetime Value analysis using Buy Till You Die Modelling With PyMC Marketing library https://www.pymc-marketing.io