Predictive Churn Models for Duke Season Ticket Holders and Annual Donors is centered around understanding which annual donors are most likely to churn, i.e. not donate the following year. To solve this problem the team built different models to predict the profiles and timing of donor churn. The team made use of Duke Athletics’ internal data supplemented by external data to build predictive machine learning models.
Project Leads: John Haws, Larry Cleaver
Project Manager: Andrew Carr
Click here to view the team’s final project summary
Watch the team’s final presentation (on Zoom) here: