AI Customer Churn Predictor
Predict which customers are about to churn — before they leave — using login activity, support history, and contract details.
Try It NowHow a risk score actually gets made
Customer Input
Account and behavior fields submitted from this form.
Input Validation
Fields checked against expected ranges and types.
Data Cleaning
Missing or inconsistent values handled before scoring.
Feature Engineering
Raw fields converted into model-ready signals.
Sequence Preparation
Account history arranged for sequence modeling.
Scaling
Numeric fields normalized to consistent ranges.
LSTM Prediction
A sequence model scores churn probability.
SHAP Explainability
The score is traced back to its driving factors.
Business Insights
Factors translated into a retention recommendation.
Final Output
Risk level, probability, and insights returned.
Try it with your own customer data
Fields are pre-filled with realistic defaults — adjust anything and predict.
Predicted churn risk
Churn probability
What's driving this score
Business insights
Why trust this prediction
Built on sequence modeling
An LSTM model reads a customer's behavior over time rather than a single snapshot, so a risk score reflects a trend, not just this month's numbers.
Explainable with SHAP
Every score ships with the specific behaviors pushing risk up or down, so your team knows exactly what to address with an at-risk account.