Bringing It All Together
Surfacing current and historical pricing for tickets in a section was paramount. We developed an interactive graph that allows sellers to easily adjust their price by moving a slider. Feedback information on price suggestions then corresponds to the listing price, letting sellers know the likelihood of a ticket being sold.
During research we found that most season ticket holders often have several different ticket resale sites open to gauge what the going prices are for comparable stadium sections. For the redesign, we wanted to bring this feature into the experience by adding a section selector map that lets sellers add comparable sections to their pricing graph.
Because of the large variance in the amount of pricing data, we worked with our internal Data and Machine Learning teams to tune the pricing graph so it provides valuable feedback, even with vastly different sets of data.
Future enhancements based on artificial intelligence and machine learning will be able to automatically adjust the price for the seller (within their parameters) and provide better pricing data. Factors like team ranking, weather, and media attention will help adjust the data model.