Summary
In a world full of services and with the cost of acquiring a new customer much greater than retaining customers already in the operator, detecting who is about to leave a company proves to be a crucial differentiator factor in TELCO companies. This study clarifies that churn prediction is possible and very feasible through raw datasets and feature engineering.
Summary
In a world full of services and with the cost of acquiring a new customer much greater than retaining customers already in the operator, detecting who is about to leave a company proves to be a crucial differentiator factor in TELCO companies. This study clarifies that churn prediction is possible and very feasible through raw datasets and feature engineering.
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