—Customer churn is a tendency of customers to abandon business with your company. The percentage of customers that discontinue using a company services during a time period is customer churn. Customer retention is a prime growth pillar for services with a subscription-based business model. Therefore, in present situation companies are focusing on developing accurate and dependable models to recognize customers who are going to churn in near future. This research searching the main reasons for churn in provided bank. This paper investigates the main cause for churn in banking sector. The suggested method for churn prediction consists of some phases: Knowing the business problem, feature selection, feature analysis and data pre-processing, implementing an ANN for classification, evaluation of the classifier and tuning it for best prediction. The acquired results for the data from a bank, should be of great value for policy and regulations department and management team of the bank.