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.

CRM and Task management software, Email marketing and many more. 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. ✨

Analytics and data science business case studies to identify opportunities and inform decisions about products and features. Topics include Markov chains, A/B testing, customer segmentation, and machine learning models (logistic regression, support vector machines, and quadratic discriminant analysis).

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

A customer segmentation project can be approached in multiple ways. In this repository, we will explore advanced techniques for defining clusters and analyzing the results.

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

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.

Modern PHP 8.3+ ecommerce platform built on Symfony, Doctrine DBAL, Laminas, 100% vanilla JS. Drop-in replacement for Magento 1 projects with full compatibility. Complete toolchain: Composer/PHPStan plugins, language packs. Enterprise features: automated email marketing, customer segmentation, dynamic categories, passkey/2FA auth and so much more.

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.

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.

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

Analysis for Customer Segmentation

Customer Segmentation using RFM Analysis

No description available

Customer segmentation using k-means clustering in python

PyCon SG 2016 - Customer Segmentation in Python

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

No description available

Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity

Analyzing and transforming a UK-based retail dataset (2010-2011) into a customer-centric format for customer segmentation using K-means clustering. Implementing a personalized recommendation system to enhance marketing strategies and boost sales.

This project is based on Unsupervised Learning

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

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

Python Package for RFM Analysis and Customer Segmentation

Udacity Data Science Nanodegree Capstone

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

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

Unsupervised Clustering on Online Retail Dataset