Many marketers assume that the number of users with last login date older than 30 days predicts the amount of people who are about to leave your site. Often times this metric is referred to as churn. What if we could predict churn, and do something about it before those users abandon the product or service offering. Join this session to see how you can better:

  • Understand why churn is important
  • View activity and behavior data to look for churn indicators
  • Create measurable business rules from those indicators
  • Define the strategy to translate business rules to prediction scores
  • Take action on the highest prediction scores to stop churn