Open-source customer engagement. Automate transactional and marketing messages across email, SMS, mobile push, WhatsApp, Slack, and more 📨

Retentioneering: product analytics, data-driven CJM optimization, marketing analytics, web analytics, transaction analytics, graph visualization, process mining, and behavioral segmentation in Python. Predictive analytics over clickstream, AB tests, machine learning, and Markov Chain simulations.

Python script (and IPython notebook) to perform RFM analysis from customer purchase history data

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 sharing the customer lifetime value prediction using BG-NBD, Pareto, NBD & Gamma Model on top of RFM in Python.

Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to anticipate the purchases that will be made by a new customer, during the following year from its first purchase.

Analytical CRM with Tasks management, Email marketing and many more. This Django CRM software app is built for individual use by businesses of any size or freelancers and is designed to provide easy customization and quick development. ⭐️

The objective of this project is to analyze the 3 million grocery orders from more than 200,000 Instacart users and predict which previously purchased item will be in user's next order. Customer segmentation and affinity analysis are done to study customer purchase patterns and for better product marketing and cross-selling.

Tools for Customer Segmentation using RFM Analysis

Showcase for using H2O and R for scoring for marketing campaign in retail

Performs an exploratory analysis on a dataset containing information about shop customers. Check that the assumptions K-means makes are fulfilled. Apply K-means clustering algorithm in order to segment customers.

This repository will contain all the stuffs required for beginners in ML and DL do follow and star this repo for regular updates

Unlock actionable insights and boost customer retention with this Power BI project. Analyze and visualize risk factors to proactively prevent churn. ➡️

Algorithmic Marketing based Project to do Customer Segmentation using RFM Modeling and targeted Recommendations based on each segment

This repository contains solutions to the 3 different tasks that must be performed during the data analytics virtual internship provided by KPMG via Forage.

Analyse customer segmentation, sentiment on product review, and built a product recommender system

This repository contains RFM analysis applied to identify customer segments for global retail company and to understand how those groups differ from each other.

Customer-base segmentation over e-commerce sales data

Customer Segmentation Analysis with RFM, using Python and Power BI.

This notebook provides some skills to perform financial analysis on economical data.

Customer Personality Analysis Using Clustering