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Identifying Jane Doe: Beyond the Ticket Holder

Identifying Jane Doe: Beyond the Ticket Holder
A leading professional golf organization moved beyond ticket-holder data to uncover attendee behavior, audience insights, and sponsorship opportunities.
Matt Griffin
Matt
Griffin
Senior Vice President, Insights and AI
View bio

Live golf events operate inside a narrow decision window. Before the first tee time, leaders need to know whether ticket sales are pacing to goal. During tournament week, operators need to understand arrivals, entry points, ticket scans, staffing, hospitality, parking, traffic, weather, concessions, and retail activity. After the event, commercial teams need to know who actually attended and how those insights can strengthen marketing, sponsorship, and partner activation.

For tournament operators, the challenge was not a lack of data. Ticket sales, attendance activity, hospitality operations, weather, traffic, and venue performance all existed across separate systems. While organizers could see who purchased tickets, they had limited visibility into who actually attended, what interests they shared, and how attendee behavior could support sponsorship and marketing efforts.

PULSE was built to close those gaps.

Powered by Databricks, PULSE unified operational, ticketing, and attendee data to give tournament leaders a real-time view of event performance and a deeper understanding of their audience.

Beyond the Ticket Holder

Knowing who purchased a ticket is valuable. Knowing who actually attended creates entirely new opportunities for sponsorship, audience development, and event marketing.

PULSE combined ticketing, location, and behavioral data to provide a more complete view of tournament attendees. Dashboard analysis revealed:

  • 645 attendee devices identified across the event
  • 537 attendees segmented for audience analysis
  • 109 California-based attendees representing 72.5% of a filtered audience segment
  • 27,800+ event-day visitors analyzed

The platform also uncovered behavioral and commercial insights that could be used to support sponsorship activation and audience engagement strategies, including:

  • 94% casual restaurant visitation
  • 92% bank visitation
  • 91% cellular phone store visitation
  • 69% auto-parts store visitation
  • 68% automotive dealership visitation

Audience analysis also revealed airline affinity trends, including:

  • JetBlue: +12% over-index
  • Southwest: +7% over-index
  • Delta: +6% over-index

These insights helped transform anonymous attendance into actionable audience intelligence, giving event operators and sponsors a deeper understanding of who attended and what interests they shared.

Why Databricks?

With data spread across numerous systems, tournament operators struggled to connect operational, attendee, and commercial insights into a single view.

Databricks provided the foundation needed to unify those disparate data sources, creating a scalable intelligence platform that supported real-time event operations, audience analysis, and sponsorship activation.

Playing the Long Game

The true value of PULSE extended beyond event operations. By connecting disparate data sources and uncovering the audience in attendance, organizations gained new opportunities to improve sponsorship outcomes, strengthen marketing efforts, and better understand attendee behavior.

PULSE transformed fragmented event data into actionable intelligence that could be applied long after the final round was played.

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