Predictive Churn Models for Duke Season Ticket Holders and Annual Donors

Predictive Churn Models for Duke Season Ticket Holders and Annual Donors

2020

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:

Contact

Mathematics

Related People

Biology

MIDS

Computer Science