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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.

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