This was an interesting piece on BHGP about the shape of Iowa's Brand in college football. There's some great stuff about how Fry changed the culture and yes, even Kirk and the Iowa Way that was talked about continuously after the three straight top ten finishes.
But what was interesting was the fan equity standings they came up with, even after the past two years. Look at where Iowa ranks. Story link is here.
A little more from the story:
Our baseline concept of fan quality is something we term fan equity. This is similar in spirit to "brand equity" but is adapted to focus specifically on the intensity of customer preference (rather than to consider market coverage or awareness). We calculate fan equity using a revenue-premium model. The basic approach is to develop a statistical model of team revenues based on team performance and market characteristics. We then compare the forecasted revenues from this model for each team to actual revenues. When teams actual revenues exceed predicted revenues, we take this as evidence of superior fan support.
For the fan equity analysis, we build a statistical model using publicly available data from the last fourteen years that predicts team revenues as a function of metrics related to team performance such as winning percentage, bowl participation, and other factors such as number of students, stadium capacity, etc.
But what was interesting was the fan equity standings they came up with, even after the past two years. Look at where Iowa ranks. Story link is here.
A little more from the story:
Our baseline concept of fan quality is something we term fan equity. This is similar in spirit to "brand equity" but is adapted to focus specifically on the intensity of customer preference (rather than to consider market coverage or awareness). We calculate fan equity using a revenue-premium model. The basic approach is to develop a statistical model of team revenues based on team performance and market characteristics. We then compare the forecasted revenues from this model for each team to actual revenues. When teams actual revenues exceed predicted revenues, we take this as evidence of superior fan support.
For the fan equity analysis, we build a statistical model using publicly available data from the last fourteen years that predicts team revenues as a function of metrics related to team performance such as winning percentage, bowl participation, and other factors such as number of students, stadium capacity, etc.
