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 promo…
☆24Updated 7 years ago
Alternatives and similar repositories for RFM_analysis:
Users that are interested in RFM_analysis are comparing it to the libraries listed below
- Customer Segmentation Analysis with RFM, using Python and Power BI.☆24Updated 3 years ago
- Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.☆45Updated 6 years ago
- Data Analysis with Python - Customer Segmentation ( RFM Analysis) - Power BI Dashboard - Tableau Dashboard☆10Updated 4 years ago
- Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity☆42Updated 4 years ago
- Unsupervised Clustering on Online Retail Dataset☆31Updated 5 years ago
- Analytics for building Customer Journey Map in Ecommerce☆28Updated 5 years ago
- Spark + Python for Maketing Analytics☆10Updated 7 years ago
- Python script (and IPython notebook) to perform RFM analysis from customer purchase history data☆268Updated 5 years ago
- This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behavio…☆71Updated 5 years ago
- Algorithmic Marketing based Project to do Customer Segmentation using RFM Modeling and targeted Recommendations based on each segment☆39Updated 6 months ago
- What is CLV or LTV? CLV or LTV is a metric that helps you measure the customer's lifetime value to a business. In this kernel, I am shari…☆140Updated 2 years ago
- The python version of the lab exercises from the coursera class Foundation of marketing analytics.☆12Updated 2 years ago
- Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to …☆133Updated 6 years ago
- Analysis for Customer Segmentation☆68Updated 4 years ago
- This repository contains RFM analysis applied to identify customer segments for global retail company and to understand how those groups …☆28Updated 5 years ago
- ☆12Updated last year
- Improve marketing campaign of a Portuguese bank by analyzing their past marketing campaign data and recommending which customer to target☆57Updated 6 years ago
- Udacity Data Science Nanodegree Capstone☆35Updated 4 years ago
- This contains projects based on Algorithmic Marketing like Marketing Mix Modeling, Attribution Modeling & Budget Optimization, RFM Analys…☆215Updated 4 years ago
- Fitted a multivariate regression model on a brand’s product Sales Volume and the availabe marketing time series data to (i.e. Advertising…☆38Updated 6 years ago
- Customer Segmentation, RFM analysis and price elasticity☆17Updated 4 years ago
- Analytics and data science business case studies to identify opportunities and inform decisions about products and features. Topics incl…☆282Updated 3 months ago
- ☆26Updated 8 years ago
- Analyzing and calculating key marketing metrics with SQL and Python☆14Updated 5 years ago
- RFM (recency, frequency, monetary) analysis☆13Updated 6 years ago
- Data Science Portfolio☆14Updated 4 years ago
- ☆20Updated 6 years ago
- Achieve your marketing goals with the data analytics power of Python☆212Updated 5 years ago
- Recency, Frequency, and Monetary are three behavioral attributes and are quite simple, in that they can be easily computed for any databa…☆15Updated last year
- customer lifetime value BG/NBD model☆17Updated 3 years ago