How Dynamic Pricing Can Increase Your Venue Revenue by 30%

Most venues price by the hour and leave it there. One rate, every slot, all week. It is simple to explain and simple to run — and it quietly costs you money at both ends of the day.

Look at a typical week on a padel court. Tuesday at 18:00 is gone the moment it opens. Tuesday at 10:00 has been empty for months. Both cost the customer the same. One is underpriced, the other is overpriced, and the single rate hides both.

The two problems a flat rate creates

Peak slots are underpriced. If a slot books out within minutes of becoming available, the price was too low. That difference is money customers were willing to pay and did not have to.

Off-peak slots are overpriced. An empty court has a marginal cost near zero. The lights are on, the roof is paid for, staff are on shift. A court sitting idle at 10:00 earns nothing; the same court at a lower rate earns something, and the something is almost pure contribution.

Flat pricing treats those two situations identically, which is the one thing they are not.

What dynamic pricing actually means here

Not surge pricing, and not an algorithm that changes the price while someone is looking at it. For a sports venue it means something much less dramatic: a small number of named rate bands, mapped to times of day and days of the week, published in advance.

A workable first split is three bands:

• Peak — weekday evenings, weekend mornings. Whatever currently sells out.
• Standard — the shoulders around peak.
• Off-peak — weekday daytime, late evening. Whatever currently sits empty.

Three bands is enough to capture most of the available gain and few enough that a customer can hold the whole structure in their head. That second property matters more than people expect.

Set the bands from your own data, not from a template

You already have the only dataset that matters: your booking history. Before changing any price, pull the last three months and answer two questions per hour of the week.

1. What is the fill rate? Booked slots divided by available slots.
2. How far ahead does it book? A slot taken two weeks out behaves differently from one taken the same morning.

A rough rule that holds up in practice:

• Fill rate above 90% — this is peak. It is underpriced.
• Fill rate 40–90% — standard. Leave it alone at first.
• Fill rate below 40% — off-peak. A lower price will do more than a marketing campaign.

The temptation is to raise peak prices immediately, because that is where the obvious money is. Resist it for one cycle. Move off-peak down first, watch what happens to volume, and only then touch the top of the range. A price rise on your most loyal customers is the hardest change to walk back.

Where the 30% comes from

It is not a 30% price rise. Nobody would accept that, and you should not try it.

The gain compounds from three smaller movements:

Off-peak volume. Idle inventory is the largest single opportunity in most venues. Moving weekday daytime fill from 30% to 55% adds revenue that was previously not on the table at all, at close to zero marginal cost.

Peak yield. A modest increase — 10 to 15% — on slots that already sell out reliably. If they still sell out, you have found free margin. If they stop selling out, you have found the ceiling, and that is worth knowing too.

Displacement. Some price-sensitive customers move from peak to off-peak once the gap is visible. This looks like a loss on the peak slot, and it is not: it frees a high-demand slot for a customer who will pay full rate, and it fills a slot that was empty. The same booking is worth more to you in its new position.

None of the three is dramatic. Together they move the number.

Do this before you change a price

Publish the bands. Put them on the booking page where a customer sees them before choosing a time, not in the confirmation. Dynamic pricing that surprises people is just a price rise with extra steps.

Keep the structure legible. "Evenings and weekends cost more" is a rule a customer can predict and plan around. "The price depends on demand" is one they cannot, and unpredictable pricing pushes people toward competitors whose prices they can guess.

Give it a full cycle. Four to six weeks before judging anything. Booking behaviour has weekly and seasonal rhythms, and a fortnight of data will tell you a confident, wrong story.

Watch cancellations, not just revenue. A rise in cancellation rate after a price change is the earliest signal that you have gone past what the market will carry — earlier than the revenue line, which lags.

Start smaller than you think

Pick your single worst-performing time band. Not the whole week — one band. Lower it, publish it, leave it alone for a month, and look at the fill rate.

If it moves, you have evidence for the rest of the schedule and a number to show anyone who needs convincing. If it does not, you have learned that price was not the constraint for that slot, which is worth knowing before you rebuild the whole rate card around it.

Either way, one band and one month costs almost nothing to find out.