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. ⭐️

Ein Projekt zur Kundensegmentierung, das auf der K-Means-Clustering-Methode basiert.

Streamlit app with a business case study focused on customer segmentation using K-means clustering

Customer churn is a critical issue for banks, as retaining customers is more cost-effective than acquiring new ones. This project aims to analyse customer churn in a bank and develop a predictive model to identify customers who are likely to leave, and the responsible factors.

A comprehensive analysis on an online retail transaction data set for 13 months.

In this project, we will first firstly implement RFM Analysis to group customers according to RFM metrics and then the same customers will be segmented by using K-Means and Hierarchical Clustering algortihms.

K-Means kümeleme yöntemine uygun olarak yapılmış bir müşteri segmentasyon projesi

Mall customers segmentation with clustering

K-Means kümele yöntemine uygun olarak yapılmış bir müşteri segmentasyon projesi

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.

SegmentWise: Unveiling Customer Insights for Exploratory Data Analysis (EDA) and Customer Segmentation

Customer Segmentation Using Clustering: This repo applies clustering algorithms to a customer transaction dataset, grouping similar customers together based on their purchasing behavior. Targeted marketing strategies can be developed by analyzing distinct customer segments.

This is a case study in my Data Analyst Path by Miuul.

An easy-to-use package for customer segmentation using Python.

Customer enrolment prediction

Este es un proyecto de Data Science en el que aplicaremos: EDA + Métodos de Clustering

FLO wants to determine roadmap for sales and marketing activities. In order for the company to make a medium long -term plan, it is necessary to estimate the potential value that existing customers will provide to the company in the future.

A game company wants to create new level-based personas using some of their customers' features.