The data we’re not using

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By Haley Bryant

A club fitter in Phoenix told me last month that he’d rather be wrong with his hands than right with a computer. He meant it as a complaint about his job, not a philosophy. He was describing the forty minutes he now spends after each fitting session transferring numbers between different systems that don’t talk to each other, all wanting the same data in different formats for orders, records, and a portal his facility hasn’t implemented.

He’s a good fitter. He can watch a swing twice and know whether the player’s miss is a delivery issue or a setup issue. He can feel a shaft and predict how it will load for a specific tempo. These are skills that took him fifteen years to develop. But the golf industry has decided his highest and best use is data entry.

Meanwhile, more launch monitors are installed across the United States right now than at any point in history. They’re in stores, ranges, sim lounges, clubs, and academies. Each one captures swing data. Ball speed, spin rate, club path, attack angle. Thousands of swings per day, per location.

Almost none of it goes anywhere.

The golfer hits balls, sees their numbers, and the session ends. The data gets overwritten by the next player or wiped at close of business. Maybe someone snaps their best drive. Mostly it just evaporates. We’ve built an entire measurement infrastructure and then treated the measurements as disposable.

Fitting rates are lower than in the 1990s, both as a percentage of equipment sales and in absolute numbers. More swing data, fewer fittings. That’s a planning failure.

Part of the problem is definitional. The golf industry keeps conflating “hitting balls on a launch monitor” with “getting fit.” They are not the same thing. A fitting requires interpretation. Someone has to look at the data in context, understand what the player wants, account for tendencies and make recommendations that balance performance with feel. A launch monitor is a tool for that process. By itself, it’s just a scoreboard.

But facilities have been sold launch monitors as if they were fittings in a box. Plug it in, golfers show up, the machine tells them what to buy. Except that’s not what happens. The golfer sees a lot of numbers, doesn’t know what they mean, hits the clubs they planned to buy, and leaves. The facility thinks they’ve provided a fitting. The golfer thinks they have. Nobody is satisfied with the outcome.

The fitters know why. They see players six months later, still fighting the same miss, wondering why the “fitted” clubs didn’t fix anything. And the fitters are tired. Not from the fitting work, which they still love, but from everything else added on top. The software logins, the inventory reconciliation, the spec sheets that changed since last season, the customer relationship management system that tracks everything except whether the player is hitting the ball better.

Facilities are sitting on years of archived swing data right now. Thousands of swings from hundreds of players. They don’t know what to do with it. Turning data into a fitting requires expertise, and expertise requires time, and time is the one thing fitters don’t have because they’re busy doing data entry.

So the data sits there, fitters stay buried in administrative work, facilities wonder why their launch monitor investment isn’t driving more club sales, and golfers who would benefit from a real fitting never get one because the process looks complicated and expensive.

Our launch monitors are extraordinary. Fitters need time back to read swings and match players to equipment. Facilities need to turn the measurement infrastructure they’ve already built into something more than a novelty.

That requires integration and automation. It requires admitting that data is only useful if you use it. Facilities should see their launch monitors as the front end of a fitting operation. Fitters need time back for the parts requiring judgment, not typing.

The golfer who shows up at a range in Toledo to hit balls on a launch monitor cares about their game. They paid for the bay; they’re looking at their numbers, trying to improve. They’re one conversation from becoming a fitting customer. But someone has to have that conversation and turn those swings into a recommendation, and that person needs to be freed from spreadsheet work to do it.

The connection between measurement and fitting is a solvable problem. It requires admitting the current setup isn’t working and rebuilding around people who know how to fit clubs, not software vendors. The fitter in Phoenix is still there, still fitting, still spending forty minutes per session on data entry.

Lead with the clearest fact or tension point, then move straight into the analysis. Keep the story structured around what happened, why it matters, and the operator takeaway.

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