Last week’s JohnWallStreet newsletter highlighted the Minnesota Timberwolves new ticketing pricing strategy. The story is ostensibly about one team’s pricing reset.
It’s actually about something more useful: what happens when an organization runs the analysis, gets an answer that contradicts traditional strategic considerations, and acts on the data anyway.
That is where incremental revenue lives: in the counterintuitive insight the numbers can surface when using data-driven analysis to help drive decision-making.
The First Counterintuitive Finding: Fewer Fans, More Money
The intuitive playbook is to fill the building. Prior Timberwolves ownership did exactly that, using promotions to move the last 2,000-3,000 seats and manufacture sellouts, on the logic that those fans would spend on parking, food, and merchandise and grow into avid supporters. The data didn’t back it.
“Every time you run the analysis, it winds up being if you keep price discipline —even if you lose a little bit of attendance— you wind up having more revenue,” Caldwell said.
The mechanism is simple once you stop optimizing for the wrong number. Ticketing revenue is volume times price, and a sellout only maximizes volume, because the last seats were priced low enough to guarantee they cleared.
Maximizing revenue means finding the balance of the two and accepting the attendance it produces, even when it doesn’t sell out. Minnesota’s attendance fell 5% in 2025-2026, with a playoff-caliber roster headlined by Anthony Edwards (ESPN). Regular-season ticketing revenue still rose 9%, and by the postseason the club posted record $3-4mm gates.
The organizational lesson is alignment. A team can rationally optimize for volume, for price, or for the balance of both. The balance is where revenue is maximized but that requires organizational alignment to execute. Departments that never decide default to volume, because a sellout is easy to see and revenue has to be modeled.
Utah is the cautionary version: an external review found the athletic department was leaving ticketing money “on the table,” with one employee admitting “we give out so many [ticket] comps I can’t even tell what the real demand is” (Salt Lake Tribune).
The Second Counterintuitive Finding: Your Discounted Fan Spends Less
Here’s the one that truly inverts the model. The primary justification for ticket comps is that those fans make it up inside the building. The data Timberwolves examines says the reverse with multiple repercussions for venue revenue and atmosphere.
“The amount spent by people that get a comp ticket or a severely discounted promotional deal are much lower than someone who actually pays more money for their seat,” Caldwell said. “18,000 true fair market value paying fans are going to be much louder than 20,000 people that got discounts or comps last minute.”
The fan who paid fair market value is the one who arrives early, stays late, and buys the merchandise. Discounting the ticket doesn’t unlock downstream food, beverage, and merchandise revenue; it selects for the fan least likely to generate any, and it trains a whole segment to wait for the next deal.
What The Data Can’t Do Alone: Experience And Communication
Data identifies the opportunity; execution captures it, and two levers made Minnesota’s increase stick.
The first is experience, which requires business and basketball operations to stop working in silos. Alongside a weighted-average season-ticket increases, the club added two exclusive events: a stakeholder meeting giving members direct access to Caldwell, President of Basketball Operations Tim Connelly, and Head Coach Chris Finch, plus a training-camp fan fest with the players. Access to the people who build and coach the team is inventory no discounter and no secondary seller can replicate, and it only exists when the basketball side treats fan experience as part of its job.
The second is honest, direct communication. Before renewals went out, the team walked season-ticket holders through the why in person: five straight playoff seasons, two years in the luxury tax, a starting point of 27th of 30 in league pricing. The increase was steep and the reaction was loud, with some renewals reportedly up 25-37% (Sports Illustrated). Yet 84% renewed, lifting season-ticket revenue more than $6mm year-over-year (Yahoo Sports).
Fans will absorb a real increase, even from a team that hasn’t won a title, when you tell them the truth about why the number moved. What they are less likely to forgive is being surprised.
Bottom Line
Minnesota lost 5% of its attendance and gained 9% of its revenue, a $6mm renewal bump, and a fan base that pays more and spends more once inside. None of that came from purely better instinct or solely form qualitative analysis. It came from delving deeply into data, trusting a counterintuitive result, and having the discipline to act on it. As Caldwell put it, “you’re trying to retrain the market for future growth.” The organizations that let the data lead will keep finding revenue the ones chasing the sellout never see.
Data-driven decision-making to maximize revenue from sports assets is exactly what ROAR was designed to achieve. A data-first approach to pricing, partnership, and audience is how you find the counterintuitive answer before your competitor does, and turn it into incremental revenue rather than a missed quarter.