Can you look at a jar of jelly beans and tell me how many are in there? If you’re lucky, maybe you can get close to the number, however, to guess the exact number you’re going to need a lot of luck.

Historically, measuring stadium utilization was similar to how we determined the number of jelly beans in a jar. We relied heavily on intuition and perception to make conclusions about how many people were in a line or a particular section.

By using these methods of deduction, the knowledge of our spaces remained limited and generalized. For example, we could deduct whether or not a section is full, half-full, or empty, but what if we want a more precise occupancy count?

When unified into a single platform, stadium data can provide precise and detailed answers to everyday questions. It can also fact check our assumptions and uncover new business opportunities.

Take the following example:

Operators Perception of Utilization

  • An hour before the game, large crowds begin to form outside the stadium.
  • When it rains, people leave the game early.
  • One of our most popular vendors is creating heavy foot traffic during the second inning.

Utilization Report of Actual Usage

  • For games that start at 7pm, the predicted occupancy outside of the main gate is 50%.
  • During the weekdays when it rains during an evening game, stadium occupancy will decline 70% an hour after the first announcement.
  • The busiest times for your most popular vendor is 7pm - 9pm on game days during the weekend.

When we leave stadium utilization up to guesses, operators are not only putting their fans at risk but they are also passing up valuable opportunities. Stadium utilization can be a wake-up call for stadium operators to learn if they’re wasting space, staffing games incorrectly or investing in the wrong places.  

Looking for analytics to understand how fans are interacting with your stadium? Sign up for a demo today.