Customer churn is a vital aspect of the retail business. It refers to a situation where the customer cuts his/her ties with the company's services or products. This indicates a straight loss of customers and also points at the need for further spending. Acquiring new customers is generally more expensive than retaining older ones which is why companies make desperate attempts to identify the churning segment of the customers.

Analytics using data science and machine learning enables predicting and identifying churns and churn patterns. It also helps in finding the reason behind the churn and formulate strategies for it. This information and action can save plenty of money by taking steps to avoid churns or minimize its effect.