​Sports Fan Affordability Model

Hey guys, I hope you’re doing well! I would really appreciate some feedback on this idea.

I’m exploring a startup concept aimed at helping sports team fill empty seats without publicly lowering tickets prices (through their own platforms). The idea would be to build a platform that captures fan demand and price sensitivity (for example, a fan saying “I’d attend this game if it was $50 instead of $70.”) Over time, this platform would build a dataset showing how many people would attend specific games at different price points.

Instead of teams discounting their tickets directly, using this data, they could partner with brands and the brands would buy the tickets full price to sell them at a lower price to fans. Fans would get cheaper tickets, teams would still get full price and these brands would gain data from form submissions, extra exposure and engagement. This would mainly target leagues where empty seats are common like the NBA, MLS, MLB or lower tier football in major countries rather than sold out leagues like the Premier League or NFL (where this system would be less effective).

The key challenge I’ve anticipated is getting cut out of deals by teams or sponsors (because if the model is working… why would you pay me). My approach to counter this would be to build a data moat by capturing unique fan demand from multiple teams within a league and eventually turning into a platform that teams rely on to optimise attendance.

I know this was a long read but thanks if you made it to the end and please let me know what you think!