How an e-retailer employs machine-learning to reduce customer churn - RTInsights

How an ecommerce company used predictive analytics to improve customer retention. Acquiring new customers is much more expensive than retaining current ones. Keeping customers from unsubscribing from a company's services or from choosing another company's solution is therefore a challenge that should be at the top of every corporate agenda. A way to address this challenge is through predictive customer churn prevention, in which data is used to find out which customers are likely to churn in order to win them back -- before they are gone. Showroomprivé.com, an ecommerce company founded in 2006, sought ways to employ machine learning approaches to retain more customers.