rfm-analysis
There are 5 repositories under rfm-analysis topic.
joaolcorreia / RFM-analysis
Python script (and IPython notebook) to perform RFM analysis from customer purchase history data
Language:Jupyter Notebook 261Nikhilkohli1 / Digital-Marketing-Analytics
This contains projects based on Algorithmic Marketing like Marketing Mix Modeling, Attribution Modeling & Budget Optimization, RFM Analysis, Customer Segmentation, Recommendation Systems, and Social Media Analytics
Language:Jupyter Notebook 181- rfm
rsquaredacademy / rfm
Tools for Customer Segmentation using RFM Analysis
Language:R 57 AbhishekGit-hash / Data-Analytics-Customer-Segmentation
In this project, a RFM model is implemented to relate to customers in each segment. Assessed the Data Quality, performed EDA using Python and created Dashboard using Tableau.
Language:Jupyter Notebook 42Algorithmic Marketing based Project to do Customer Segmentation using RFM Modeling and targeted Recommendations based on each segment
Language:Jupyter Notebook 33DionysiosZelios / RFM_analysis
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 promotions and also for future personalization services.
Language:Jupyter Notebook 22klaudia-nazarko / rfm-analysis-python
This repository contains RFM analysis applied to identify customer segments for global retail company and to understand how those groups differ from each other.
Language:Jupyter Notebook 22aryashah2k / Datalogy-Customer-Segmentation-Data-Science-Internship
A Repository Maintaining My Summer Internship Work At Datalogy As A Data Science Intern Working On Customer Segmentation Models Using Heirarchical Clustering, K-Means Clustering And Identifying Loyal Customers Based On Creation Of Recency, Frequence, Monetary (RFM) Matrix.
Language:Jupyter Notebook 16- Language:Jupyter Notebook 12
dmeoli / OnlineRetail
Data Mining project 2020/2021 @ University of Pisa
Language:Jupyter Notebook 11- Language:Python 11
mursideyarkin / customer_lifetime_value_prediction
The main purpose of this repository is to model and forecast customer lifetime value.
Language:Jupyter Notebook 10sonwanesuresh95 / rfm
Python Package for RFM Analysis and Customer Segmentation
Language:Python 10Anavh / OnlineRetail
Data Analysis with Python - Customer Segmentation ( RFM Analysis) - Power BI Dashboard - Tableau Dashboard
Language:Jupyter Notebook 9at-tan / Dynamic_Customer_Analytics
Crafting & testing a dynamic Recency-Frequency-Monetary model as published in Towards Data Science on Medium.com
Language:Jupyter Notebook 9- RFM-Model
fvanheer / RFM-Model
Basic RFM model to kickstart customer value segmentation. This project aims to guide the first time user to have a bouncing board into setting up their first segmentation model.
Language:Python 9 maj34 / Analysis-Programming-Project
[ 전공 프로젝트: 분석 프로그래밍 ] L사의 고객 세분화를 통한 맞춤형 상품 추천
Language:Jupyter Notebook 9Examining the purchasing habits of customers and segmenting according to these habits.
Language:Python 9siddharth271101 / K-means-clustering-using-RFM-variables
Segmented customers based on Recency,Frequency & Monetary Value (RFM) metrics using K-means clustering algorithm
Language:Jupyter Notebook 9Yyalexx / SF-studing-projects
Учебные проекты, выполненные во время обучения на курсе Data Scientist
Language:Jupyter Notebook 8The purpose of this project is to recommend personalized products for segments by finding product associations.
Language:Python 7- Language:Jupyter Notebook 7
aliceagrawal / HM-Recommender-System-App
Built a collaborative filtering and content-based recommendation/recommender system specific to H&M using the Surprise library and cosine similarity to generate similarity and distance-based recommendations.
Language:Jupyter Notebook 6AyushiAsthana18 / RFM-Analysis
This repository contains the "RFM Analysis" for a Sales Data of a Retailer in SQL. This is part of my Data Science Portfolio Projects
Language:TSQL 6LarsTinnefeld / olist_ecom_analysis
Data analysis about Brazilian e-commerce business Olist
Language:Jupyter Notebook 6TarikKaanKoc / FLO_RFM_Analysis
Within the scope of the project, I determined the marketing strategies by segmenting the customers of the online shoe store FLO.
Language:Python 6egemenzeytinci / neo4j-example
Creating a graph using e-commerce data and make a RFM analysis
Language:Jupyter Notebook 5oguzkedek / Turkcell-Miuul-Data-Science-Bootcamp
Turkcell&Miuul Data Science Bootcamp - Assignments
Language:Python 5PeerChristensen / Customer_Analytics
Methods for doing customer analytics in R
Language:R 5alifialistu / RFMAnalysis-KMeans
RFM (Recency, Frequency, Monetary) Analysis on an Online Retail Customers using K-Means Clustering with Python
Language:Jupyter Notebook 4Arkantos-13 / RFM_Customer_Segmentation_Analysis
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.
Language:Jupyter Notebook 4mtahiraslan / flo_rfm_analysis
FLO, which is an online shoe store, wants to divide its customers into segments and determine marketing strategies according to these segments. For this, the behavior of customers will be defined and groups will be formed according to the clutches in these behaviors.
Language:Python 4ZiadAhmed10 / Online-Retail-RFM-Analysis
A project with SQL which focuses on gaining insights from the dataset by implementing RFM analysis model and utilizing analytical functions to reach the desired results and insights.
atakankizilyuce / rfm_analysis
RFM analysis and customer segmentation with the data of an e-commerce site
Language:Jupyter Notebook 3boratutumluer / rfm-analysis
:shopping: Customer Segmentation with RFM Analysis
Language:Python 3Paul-Asamoah-Boadu / Cohort-Analysis-and-Customer-Segmentation
This project involves cohort analysis and customer segmentation to help an e-commerce giant improve its product offerings, customer relations and maximize profit.
Language:Jupyter Notebook 3
