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…
☆25Updated 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.☆25Updated 3 years ago
- Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity☆43Updated 4 years ago
- Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.☆46Updated 7 years ago
- Python script (and IPython notebook) to perform RFM analysis from customer purchase history data☆271Updated 5 years ago
- Unsupervised Clustering on Online Retail Dataset☆31Updated 6 years ago
- Analytics for building Customer Journey Map in Ecommerce☆28Updated 5 years ago
- This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behavio…☆72Updated 5 years ago
- Exploratory Data Analysis (EDA) is performed on the E-Commerce data obtained from a UK-based and registered non-store online retail to di…☆26Updated 6 years ago
- Hands-On Data Science for Marketing, published by Packt☆10Updated 6 years ago
- Algorithmic Marketing based Project to do Customer Segmentation using RFM Modeling and targeted Recommendations based on each segment☆40Updated 8 months ago
- Data Analysis with Python - Customer Segmentation ( RFM Analysis) - Power BI Dashboard - Tableau Dashboard☆10Updated 4 years ago
- Spark + Python for Maketing Analytics☆10Updated 8 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 …☆134Updated 7 years 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…☆144Updated 2 years ago
- Udacity Data Science Nanodegree Capstone☆36Updated 4 years ago
- This contains projects based on Algorithmic Marketing like Marketing Mix Modeling, Attribution Modeling & Budget Optimization, RFM Analys…☆224Updated 5 years ago
- Analysis for Customer Segmentation☆69Updated 4 years ago
- A curated list of awesome customer analytics content☆96Updated 7 years ago
- An example of clustering applied to finding customer segments.☆20Updated 7 years ago
- Data analysis using numpy, pandas, matplotlib, seaborn, sqlite3, data wrangling☆31Updated 5 years ago
- Predicting Customer Lifetime Value☆12Updated 5 years ago
- ☆37Updated 7 years ago
- Achieve your marketing goals with the data analytics power of Python☆215Updated 5 years ago
- Tracking, notes and programming snippets while learning predictive analytics☆45Updated 8 years ago
- Repo that contains the supporting material for O'Reilly Webinar "An Intro to Predictive Modeling for Customer Lifetime Value"☆15Updated 8 years ago
- The python version of the lab exercises from the coursera class Foundation of marketing analytics.☆12Updated 2 years ago
- ☆26Updated 9 years ago
- WARNING: This repository is no longer maintained This repository will not be updated. The repository will be kept available in read-onl…☆28Updated 3 years ago
- Improve marketing campaign of a Portuguese bank by analyzing their past marketing campaign data and recommending which customer to target