One of the interesting areas of sports analytics is dynamic ticket pricing. Online sports management education explains this as a way that sales and marketing organizations within the front office of a professional sports team can impact revenues by pricing tickets dynamically. You may ask, “Well, what does that mean?” If you think back years ago, each ticket would have a static price. If the seat was in the 20th row at center ice or center court, or the middle of the football field, the 50-yard line, it essentially had one price for all games.
Today in many global sports, tickets are priced dynamically because we acknowledge that there’s different levels of demand based on the day of the week of the game. We also acknowledge the different levels based on the time of day that the game is being played and the opponent, including the star players that are coming in from the opposing teams. We even acknowledge the different levels if it’s an outdoor game based on the weather and the weather conditions.
It’s really important that we recognize that certain tickets might be worth two or three times as much under favorable conditions. If the Boston Red Sox are coming to play the Kansas City Royals and they’re playing on a Sunday afternoon in July, that ticket is going to be worth a lot more than if the Miami Marlins are coming in to play the Kansas City Royals on a Tuesday night in April. Those are the kinds of things that we can now capture.
Sports management education teaches us that there are algorithms and methods through data analysis. Looking at history and past history sales as well as ticket sales and pricing, we can assess what the relative demand is going to be for each of those games. We have mechanisms much like the stock exchange does so that we can price those tickets at a variable level. Sometimes teams will impose certain rules so that the tickets don’t float freely, but nonetheless they will vary. They’ll vary according to whatever parameters the team wants to permit them to vary based on the demand.
