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Customer churn predicting model with BCG virtual experience program

Identify the main factors causing churning among SME customers of PowerCo and develop predictive models to accurately identify at-risk customers. Assess whether price sensitivity is a significant variable in churning and evaluate the effectiveness of offering a 20% discount to at-risk customers on the 1st working day of every month to incentivize them to stay with PowerCo.

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