
Advanced Analytics
Challenge:
Increase in membership cancelations of subscription-based educational services. Lack of insight regarding drivers of membership loss..
Approach:
Used membership data such as drop-out rate, visit rates, class registrations, class attendance, and use of material to train a machine learning model to predict the drop-out likelihood. Built and trained a predictive model to identify the best retention offer to keep the member.
Result:
Increased customer retention by a high two-digit percentage in 12 months.