Using Predictive Analytics to Stop Customer Churn in Its Tracks
Businesses lose roughly $1.6 trillion to customer churn each year. Until recently, customer experience directors, brand managers and customer success teams haven’t had a way to anticipate and take action to prevent or reduce customer churn.
Predictive analytics uses data, statistics, and machine learning techniques to build mathematical models that can generate predictions about things likely to happen in the future…. is a game-changing technology that, when applied to churn, will provide you with critical information you need about customers’ future behavior. Get ready to better win and retain your customers.
Read this whitepaper to learn:
- Top three reasons why you can not afford to ignore churn
- Top four reasons why customers churn
- Seven strategies to mitigate churn