Kelsey McDonald - R is for Retention: Using Regression Models to Increase Revenue in Sports

R is for Retention: Using Regression Models to Increase Revenue in Sports by Kelsey McDonald
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Abstract: A conversation about how we’ve used R in the sports world to build logistic regression models that predict season ticket member retention, and multinomial regression models to identify upsell opportunities.
Bio: Kelsey joined Two Circles in 2024 as a Ticketing Director on the LA28 project after coming from BSE Global, where she led the Ticketing Analytics and Pricing Strategy team for the Brooklyn Nets and New York Liberty. Prior to BSE, she worked for the NBA on the Stats team after starting her career in sports with the Kraft Analytics Group (KAGR) as a Data Scientist. McDonald received her Master of Business Analytics degree from Fuqua as a member of Duke's inaugural MQM class and played soccer at Longwood University, where she received her undergraduate degree in Finance.
Twitter: / twocircles
Presented at the 2024 New York R Conference (May 17, 2024)
Hosted by Lander Analytics (landeranalytics.com)