

Driving ticketing & sponsorship with data, Drew Bentley
Jun 5, 2025
Discover how data analytics is reshaping ticketing and sponsorship in sports. The discussion dives into the evolution of these strategies, emphasizing the need for cross-departmental data integration. Learn about the three phases of analytics that can significantly enhance corporate partnerships and optimize ticketing efforts. It's a tech-savvy look at how numbers can drive fan engagement and boost revenue!
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Centralize Data To Advance Analytics
- Analytics should centralize tools and data into a single data warehouse to be useful across departments.
- Moving from descriptive to predictive to prescriptive analytics unlocks proactive decision-making.
Three Phases Of Analytics Maturity
- Define three analytics phases: descriptive, predictive, and prescriptive to structure capability growth.
- Prescriptive analytics tells you what to do to engineer desired outcomes across people, process, and technology.
Translate Targets Into Operational Actions
- Set concrete targets and map required actions by role to reach them (sales, digital, ops).
- Use prescriptive models to specify what people and processes must change to hit multi-year goals.