rfm
Here are 79 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…
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Oct 18, 2017 - Jupyter Notebook
Simple example code to show how to do customer segmentation. Enjoy it!
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Dec 14, 2017 - Jupyter Notebook
Customer Segmentation to provide the offers based on the RFM Analysis.
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Apr 6, 2018 - R
An exploration of segment techniques with RFM analysis and K-means clustering.
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May 28, 2018 - Python
By means of this project I am trying to create a value-based customer segmentation model using RFM(Recency, Frequency, Monetary) analysis in python using pandas, numpy and matplotlib
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Aug 1, 2018 - Jupyter Notebook
Customer Segmentation using RFM
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Aug 28, 2018 - Jupyter Notebook
To identify best and valuable customers for the company, to analyse the customer needs and wants & develop marketing strategies to retain them and invest in the right customer category to increase company profits. Implement Customer LifetTime Value (CLTV) in order to distinguish customer based on their potential lifetime profits, thus invest in …
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Feb 19, 2019
K-means as an unsupervised machine learning technique. Customer Segmentation Case.
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Jan 6, 2020 - R
customer segmentation by rfm analysis
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Feb 24, 2020 - Jupyter Notebook
Small collection of renderman variables that you could possibly edit in a script to setup your rendering environment for your personal use or in a rendering and animation pipeline. These are a bunch of rfm variables.
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Mar 23, 2020
This repo about customer segmentation using Python
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Apr 9, 2020 - Python
For this project, I did an analysis on the beverage market in Thailand, in the capacity of a data consultant, so as to recommend to an up-and-coming company on what insights they can derive based on the current state of the market to ensure the success of their budding business
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May 13, 2020 - R
R-Analysis: Identifying high value customers and low value of customers using RFM modelling
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Jun 11, 2020 - Jupyter Notebook
Customer Segmentation and Analysis for UK based all-occasion gifts retail company
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Sep 5, 2020 - Jupyter Notebook
What kind of products that cluster and customer segment need of based on time series to get an insight.
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Sep 12, 2020 - Jupyter Notebook
Generated customer groups by giving each customer a quantitative score based on the Recency, Frequency & Monetary Value of their historical purchases using the K-Means Clustering algorithm.
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Oct 3, 2020 - Python
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Nov 7, 2020 - Jupyter Notebook
Creating a graph using e-commerce data and make a RFM analysis
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Nov 11, 2020 - Jupyter Notebook
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