Skip to content
#

rfm-analysis

Here are 376 public repositories matching this topic...

RFM (Recency, Frequency, Monetary) analysis is a proven marketing model for behavior based customer segmentation. It groups customers based on their transaction history – how recently, how often and how much did they buy. RFM helps divide customers into various categories or clusters to identify customers who are more likely to respond to promot…

  • Updated Oct 18, 2017
  • Jupyter Notebook

A Repository Maintaining My Summer Internship Work At Datalogy As A Data Science Intern Working On Customer Segmentation Models Using Heirarchical Clustering, K-Means Clustering And Identifying Loyal Customers Based On Creation Of Recency, Frequence, Monetary (RFM) Matrix.

  • Updated Jan 10, 2021
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the rfm-analysis topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the rfm-analysis topic, visit your repo's landing page and select "manage topics."

Learn more