Customer-Segmentation-RFM-CLV and Customer-Lifetime-Value-Prediction

Maintenance 0/25
Adoption 3/25
Maturity 16/25
Community 12/25
Maintenance 0/25
Adoption 4/25
Maturity 8/25
Community 13/25
Stars: 4
Forks: 1
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 6
Forks: 2
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
Stale 6m No Package No Dependents
No License Stale 6m No Package No Dependents

About Customer-Segmentation-RFM-CLV

pramodkondur/Customer-Segmentation-RFM-CLV

This project analyzes online retail transaction data to identify distinct customer segments using RFM (Recency, Frequency, Monetary) analysis and calculates Customer Lifetime Value (CLV) using Predictive CLV models.

About Customer-Lifetime-Value-Prediction

basel-ay/Customer-Lifetime-Value-Prediction

Clustering and predicting customer lifetime value with machine learning and RFM analysis.

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