Golf Courses, Weather-Triggered Tee Sheet Fill & Lapsed Golfer Win-Back Engine

Public, municipal and daily fee golf courses, which is 10,291 of the 13,782 courses in the US. The buyer is the general manager or the director of golf, and the owner or the city parks director signs off anything above about $3,000. Your best targets are courses already handing tee times to a marketplace on a barter deal: those agreements trade technology for inventory, the marketplace sells 50 to 70% of what it takes, and one course put the real cost of theirs at over $116,000 a year in given-away tee times.

Ask one question on the first call and the fit is obvious: how many tee times a week go to your barter partner, and what do you get back for them? Find them through state golf association member lists, municipal parks and recreation department pages (city-run courses have published budgets and a documented revenue problem), and golf course management companies running 6 to 30 courses, where one build and one calibration pass covers the whole portfolio. Skip private clubs with waiting lists, resort courses whose rates are set by the hotel, and any course sitting above 80% utilisation, because they have no hole to fill and will not pay you to find one.

The course's tee sheet goes in by CSV export, or by a 60 second tap-through grid behind the counter, or by an API push if their software allows it. Every 3 hours the tool pulls a 72 hour hourly forecast for the course's exact coordinates and scores each hour from 0 to 100 on rain, wind, temperature and frost risk. Then it groups the next 3 days into time blocks (early morning, morning, midday, afternoon, twilight) and looks for the specific combination that is worth acting on: a block below the utilisation target, on hours scoring 50 or better, with at least 4 player slots open, outside the protected prime window.

That block becomes a draft campaign with a price worked out from how close the tee time is and how deep the hole is, hard floored at the number the general manager will stand behind. The staff see a card with the whole calculation on one line, approve it, and the offer goes out in waves. Lapsed and dormant golfers get it first.

The slipping segment 4 hours later if slots are still open. The active regulars last, and only inside 18 hours. Every wave cancels itself the moment the block fills.

Golfers book and prepay by card on the course's own page, which closes the no show gap at the same time (about 9% of booked tee times across the industry go unplayed). If the forecast turns after people have paid, the tool flags the affected bookings and sends a 90 day rain credit instead of a refund, keeping the money in the business and freeing the slot to resell.

First results inside the first week of the pilot, because the inventory and the golfers both already exist. Courses running variable pricing on their thin slots typically see a 10 to 20% lift in revenue per round, with most of it coming from exactly the undersold morning and late afternoon blocks this tool targets. Expect the lapsed segment to redeem at several times the rate of your active golfers, which is the number that justifies the whole wave ordering.

Two things will go wrong if you are careless. One is cannibalisation: if the discounted share of total rounds climbs past about 20% you are selling cheap rounds to people who would have paid full price, and the fix is a higher floor and a tighter utilisation target, not more sending. The other is the list.

A point of sale export is not SMS consent, so you run a permission email first and accept losing a chunk of the names, because one complaint about unsolicited texts costs more than the retainer. Allow 1 to 3 business days for A2P 10DLC approval before any SMS goes out, and do not promise a launch date inside that window. The honest ceiling: this does not fix a course golfers have stopped wanting to play.

It converts a tee sheet that is 55% full on a good day into one that is closer to 70%, and it pulls a slice of lapsed golfers back into the habit. Courses renew on that second number more than the first.