Customer Churn Reasoning in Telecommunication Domain

Today every industry tries their best to satisfy and maintain their existing customers or clients and attract new customers to their network. Similarly, telecommunication companies also working hard to increase their customer retention within the organization. However due to increasing demand customers try to switch the network connections frequently. Therefore, it is important to recognize whether the customer satisfies with the existing mobile connection or the possibility to change in future. This research analyses the churn customer details and predict the probability to churn in future using modern machine learning techniques. It is also important to identify the reasons to the churn in order to take actions to retention of the customer. Reasons for the churn were analyzed using the decision path of the Random Forest machine learning algorithm.