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Case Study: SeatGeek lifted GTV per contact 70% with Simon AI agents

SeatGeek Case StudySourced & dated by Case Study Desk
Key facts · TL;DR
Company
SeatGeek
Industry
Media & Entertainment
Challenge
Promote thousands of smaller Tier 2 events efficiently
Headline result
SeatGeek used Simon AI propensity-scoring agents to match fans to Tier 2 events and reported a 70% increase in GTV per contact sent

Key results

70%
Increase in GTV per contact sent
7.1%
Of each market surfaced weekly as high-propensity fans
3
Test markets running continuous AI-driven targeting

The challenge

SeatGeek's marketing team could not efficiently promote the large volume of smaller Tier 2 events. Manual audience building could not keep pace with the number of events and constantly shifting signals such as genre preference, venue proximity, and demand patterns.

The solution

SeatGeek partnered with Simon AI to build an AI-powered propensity-scoring system using AI agents that continuously match fans to Tier 2 events. The system analyzes purchase history, browsing behavior, location, Spotify preferences, and AI personas to identify purchase intent automatically.

Simon AI lets us reach fans at the right moment with events they're genuinely likely to attend.

SM
Steven Mastrocola
Senior Director, Audience Marketing, SeatGeek

The results, in context

With continuous AI-driven targeting, SeatGeek reported a 70% increase in gross transaction value per contact sent. The system surfaced 7.1% of each market weekly as high-propensity fans across 3 test markets.

Products used

Simon Data Simon AI AgentsSimon Data Propensity scoring