Case Study: Philadelphia 76ers achieves higher season-ticket renewal rates and year-round retention with DataRobot

How the Philadelphia 76ers Win Off the Court Using Machine Learning from DataRobot

The Philadelphia 76ers, part of Harris Blitzer Sports & Entertainment, needed to retain a rapidly expanding season-ticket base—having grown season ticket holders fourfold over four seasons and becoming the NBA leader in new full season tickets. To move beyond static, once-a-year regressions and give their retention team a dynamic way to prioritize outreach, the 76ers turned to DataRobot and its Enterprise AI platform.

DataRobot implemented machine learning models to predict individual season-ticket renewal risk, enabling the sales renewal team to prioritize high-risk accounts, convert renewals into a year‑round retention process, and track accounts 12 months a year. DataRobot’s models helped the 76ers hit an inflection point in their analytics capability, improved outreach efficiency, and provide a scalable approach the organization can extend to other HBSE properties like the New Jersey Devils.

Philadelphia 76ers

Braden Moore

Director of Analytics