- RFM (Recency, Frequency, Monetary) analysis is a proven marketing model for behaviour based customer segmentation.
- It groups customers based on their transaction history in other terms– how recently (R), how often (F) and how much (M) did they buy.
- RFM helps divide customers into various categories or in better terms into clusters to identify customers who are more likely to respond to a promotion or not... so we try to predict the next purchases of the customers
-
Notifications
You must be signed in to change notification settings - Fork 0
RFM (Recency, Frequency, Monetary) analysis is a proven marketing model for behaviour based customer segmentation. It groups customers based on their transaction history in other terms– how recently (R), how often (F) and how much (M) did they buy.
Arkantos-13/RFM_Customer_Segmentation_Analysis
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
RFM (Recency, Frequency, Monetary) analysis is a proven marketing model for behaviour based customer segmentation. It groups customers based on their transaction history in other terms– how recently (R), how often (F) and how much (M) did they buy.
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published