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BFSI

Customer Churn Prediction

LSTM-based forecasts + personalized campaigns that improve retention and lower customer replacement costs.

Customer Churn Prediction hero
Retention Improvement
12
%
Annual Savings Usd
2000000
Campaign Effectiveness
35
%

The Challenge

Banks face 15-25% annual customer attrition costing $200-$500 per customer to replace.

Our Solution

LSTM-based churn forecasting with personalized retention campaign recommendations to proactively retain high-risk customers.

TECHNOLOGIES USED

PythonLSTMKerasSnowflakePower BIEmail Automation API

Ideal For

Retail banks
Insurance companies
Investment firms

Visual Insights

Customer Churn Prediction gallery 1
Customer Churn Prediction gallery 2