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GitHub topics: recency

PriyadharshanSaba/OnlineRetailSales-RMFmodel

Hypothesizes that customers who have made a purchase recently, make regular or frequent purchases with you and spend a large amount with you, are more likely to respond positively to future engagement and product offers. This might seem intuitively obvious to those of us who have experience in sales – but what the RFM model brings to the table is a framework for objectively measuring these three ideas on a numerical scale.

Language: Python - Size: 21.8 MB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 2 - Forks: 1

CHIDS-UMD/PhysicianReview

This repository is for data and codes for paper @JAMA-IM 2022 Receny of Online Physician Ratings

Language: Jupyter Notebook - Size: 86.4 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 1

angadbajwa23/Customer_Segmentation_using_RFM_Analysis

Customer Segmentation using RFM modelling

Language: Jupyter Notebook - Size: 2.55 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

satishrath185/Customer-Segmentation

Segmenting Customer into clusters based on their interaction with Business

Language: Jupyter Notebook - Size: 21.7 MB - Last synced at: 27 days ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 1

jyiwu/RFM-Analysis

RFM analysis on CDNOW data

Language: R - Size: 4.15 MB - Last synced at: 4 months ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0