Telco Customer Churn Analysis: Measuring The Effect of Different Contracts

Customer retention is nowadays a challenge that requires concrete and personal-ized actions. Traditional data mining studies focused essentially on predictive ana-lytics, neglecting the business domain. This work presents an actionable knowledge discovery based on specific, actionable attributes and measuring of their effects. In healthcare, it is common to use matching, and propensity score approaches to evaluate causality. In this work, after performing matching using the actionable attributes, the causal effect is quantified.