Churn-Prediction-and-Analysis-Project and Churn-Analysis-Ecommerce-Customer
About Churn-Prediction-and-Analysis-Project
abrahamkoloboe27/Churn-Prediction-and-Analysis-Project
Application pour analyser et prédire le churn client avec visualisations interactives
This application helps businesses understand and predict which customers are likely to leave (churn). You can upload your customer data, and it will analyze factors like services, tenure, and payment methods to identify at-risk customers. The tool provides interactive dashboards and gives predictions for individual customers or an entire batch of your customer base, allowing customer retention specialists and marketing managers to develop targeted strategies.
About Churn-Analysis-Ecommerce-Customer
archie-cm/Churn-Analysis-Ecommerce-Customer
The objective of this project to is to predict customer churn, loss opportunity and provide recommendations to the business team so the company can implement a customer persona in retention strategy and can monitoring throught dashboard interactive.
This project helps e-commerce businesses understand why customers stop buying their products or services. By analyzing your customer data, it identifies key factors influencing churn and predicts which customers are likely to leave. The output includes actionable recommendations for retention strategies and an interactive dashboard for ongoing monitoring, designed for business and marketing teams.
Scores updated daily from GitHub, PyPI, and npm data. How scores work