rfm
There are 82 repositories under rfm topic.
SAP/node-rfc
Asynchronous, non-blocking SAP NW RFC SDK bindings for Node.js
SimonWang00/recommender
基于RFM和决策树模型构建专家推荐系统。融合了RFM模型和决策树模型，结合专业运营人员的业务经营，发掘潜在用户，进行推荐营销召回。
jiangnanboy/spark_data_mining
spark tutorial for big data mining。包括app流量运营分析、als推荐、smote样本采样、RFM客户价值分群、AHP层次分析客户价值得分、手机定位数据商圈挖掘、马尔可夫智能邮件预测、时序预测、关联规则、推荐电影好友等。
a-ma72/rainflow
Fast rainflow counting written in C (C99). Including wrappers for MATLAB and Python
DionysiosZelios/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.
sospedra/rfm
Request for maintainers explorer
deepansh27/CustomerSegmentation
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
zark-stark12/crm-rfm-modeling
RFM modeling in Python
at-tan/Dynamic_Customer_Analytics
Crafting & testing a dynamic Recency-Frequency-Monetary model as published in Towards Data Science on Medium.com
mesudepolat/Customer-Lifetime-Value-Prediction
Customer Lifetime Value Prediction
TarikKaanKoc/Online-Retail-CRM-Analytics
The data set named Online Retail II includes online sales transactions of a UK-based retail company between 01/12/2009 - 09/12/2011.
TarikKaanKoc/FLO_RFM_Analysis
Within the scope of the project, I determined the marketing strategies by segmenting the customers of the online shoe store FLO.
egemenzeytinci/neo4j-example
Creating a graph using e-commerce data and make a RFM analysis
mtahiraslan/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.
pareshg18/Customer-Segmentation
R-Analysis: Identifying high value customers and low value of customers using RFM modelling
aniass/Customer-segmentation
Customer segmentation by using the RFM method and K-Means clustering
carlamendescms/analise-de-segmentacao-de-clientes-no-e-commerce
Este projeto desenvolvido em Python realiza análise de cohort e RFM para segmentação de clientes de e-commerce.
dkekre21/customer-segmentation-and-LTV
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 long term customer relationship strategy for the customer segments.
glab84/plugin.audio.radio_data
Kodi music addon : Get web metadata information of webradio, like fip radio.
harveyjhuang777/customer_segmentation
Simple example code to show how to do customer segmentation. Enjoy it!
atakankizilyuce/rfm_analysis
RFM analysis and customer segmentation with the data of an e-commerce site
MohammadMoradpoor/RFMClustify
📊🎯✨ Harness the power of the RFM (Recency, Frequency, Monetary) method to cluster customers based on their purchase behavior! Gain valuable insights into distinct customer segments, enabling you to optimize marketing strategies and drive business growth. 📈💡🚀
Reign2121/Customer_Value
Evaluating customer value and targeting
sarangkartikey50/RFM-ANALYSIS-IN-PYTHON
RFM ANALYSIS IN PYTHON OF ONLINE RETAIL DATASET.
Surendra-Tanniru/RFM-Analysis
RFM analysis on Adventure works database
tohid-yousefi/RFM_Analysis_and_CLTV_Prediction_FLO
In this section, I will perform RFM analysis and CLTV prediction on the dataset belonging to the FLO store.
erlndofebri/Marketing-Response
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
Japneet011/RFM-Analysis-Using-Statistics
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.
Luckywijaya/Customers-Segmentation-with-RFM-Analysis
Segmenting store customers based on RFM (Recency, Frequency & Monetary)
mftnakrsu/CLTV_customer-lifetime-value-analysis
CLTV_customer-lifetime-value-analysis
mftnakrsu/CRM-RFM-Analysis
CRM-RFM-Analysis
roniantoniius/Smart-Shopper-Profiling-System-Using-RFM-T
This project aims to profile e-commerce customers based on transaction activity or how frequently they shop and the amount spent using RFM-T
Senan25/RFM_Analysis_Customer_Segmentation
It is highly related to the Customer Segmentation problem, so with RFM Analysis itself as well
sudoshivesh/Phishing-Website-Detection-using-XGBoost-and-RFM
This project involves predicting phishing URLs by extracting 17 features across three categories. It entails training and testing machine learning models using a dataset sourced from Phishtank.
tohid-yousefi/RFM_Analysis_and_CLTV_Prediction_Online_Retail_ii
In this section, I will perform RFM analysis and CLTV prediction on the online_retail_ii dataset.