RFM (Recency, Frequency and Monetary) analysis

This Repo is a about a Project I made with my Binome Mr Oukacha Mustapha on the Clustering Algorithms of Clients using RFM method.

The objective of this project is to develop a model that predicts customer behavior whether it'll reponse/accept the marketing campaign or not and RFM Segmentation

Анализ данных онлайн образовательной платформы: завершаемость курсов, успеваемость, статистика подписок/отписок + сегментация RFM

This my RFM Analysis project. RFM analysis is a business concept check my WORD Document to know more about it and why it is important.

Customer segmentation through their behavior, their habits and their personal data.

R-Analysis: Identifying high value customers and low value of customers using RFM modelling

It is highly related to the Customer Segmentation problem, so with RFM Analysis itself as well

This project involves performing customer segmentation and RFM (Recency, Frequency, Monetary) analysis on customer data from a retail company. The primary goal is to categorize customers into segments based on their buying behavior and identify potential target groups for marketing campaigns.

Creating a graph using e-commerce data and make a RFM analysis

customer segmentation by rfm analysis

This is a code sample repository to leverage the famous Online Retail dataset by UCI Machine Learning Library to perform Customer Segmentation with RFM Modelling and perform clustering by K-Means cluster algorithm.

Customer segmentation using RFMC analysis

The documentation repository for the RfmUsb device

What kind of products that cluster and customer segment need of based on time series to get an insight.

segmentation tenant by category of event Semarang Great Sale 2022

RFM analysis is a marketing technique used to quantitatively rank and group customers based on the recency, frequency and monetary total of their recent transactions to identify the best customers and perform targeted marketing campaigns.

Customer Segmentation