Predicting Customer Churn for Subscription Service
A Flask-based web app that predicts customer churn using ML models and suggests retention strategies.
Created on 2nd February 2025
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Predicting Customer Churn for Subscription Service
A Flask-based web app that predicts customer churn using ML models and suggests retention strategies.
The problem Predicting Customer Churn for Subscription Service solves
This project aims to predict customer churn based on various features like customer tenure, monthly charges, payment methods, and contract types. The system not only predicts churn but also automates customer retention strategies by sending promotional SMS and emails to at-risk customers.
Challenges we ran into
identifying customers likely to cancel their subscriptions by analyzing their usage patterns, engagement levels, and
sentiment. The model should adjust retention strategies dynamically, enabling businesses to take proactive steps to reduce churn and improve customer loyalty.
Tracks Applied (1)
Core ML
Technologies used
Discussion
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