Unit 3 · Creating Your Pricing Strategy · Lesson 3.1
The three-step pricing plan
The three-step pricing plan splits your forward calendar into three periods with three different jobs: a hedge price close in, a control price you know works, and a test price further out. It exists because a date one year away has far more chances to sell than a date tomorrow, and because raising rates by guesswork is how listings go backwards.
The full lesson text below is an edited transcript of the video, published 2026-08-24. The complete course is free at the playbook.
Different prices for different times
A short-term rental calendar runs 365 days into the future, and every date on it sits at a different distance from its own deadline. A date exactly one year out has 365 days left in which to sell. A vacant date tomorrow has roughly 24 hours. Same listing, same market, wildly different odds.
The difference is exposure. Over a full year, a large number of travellers will search your market, see your listing and decide. In the final 24 hours, only the small group of people searching for that exact date can book it, and every one of them still has to find your listing, click into it and follow the booking through. Less time means fewer people seeing the listing, which means fewer chances for one of them to convert.
So the far date and the near date deserve different prices. Far out you are in a much stronger position to hold a higher rate, because there is time for the right guest to arrive. Close in, the honest move is a more conservative and lower price point, because the realistic alternative is not a better rate, it is an empty night. Those are the two extremes, and the three-step plan accounts for both of them plus everything in between.
The control step
Start with the control step, because the other two are defined against it. Think of any scientific experiment: there is a control variable and a test variable. The control is the one that does not change, the one already known to work. The test variable is the thing being tried out.
Applied to pricing, the control step is the price point that has been working for your listing in your market, specifically in low season. That is worth stating twice, because everything else hangs off it: the control price is the rate your listing has already been booking at in low season. Split it into midweek and weekend, because those should be different numbers in very nearly every market in the world.
The test step
For a stretch of the forward calendar you are advertising a rate you know the market accepts. Useful, but incomplete, because you do not yet know whether a higher rate would be accepted as well. The test step is how you find out, by raising the control price in a systematic way instead of a hopeful one.
Systematic means incremental. You do not jump from $100 to $1,000. You move from $100 to $110, or to $120 if conditions in the market support it. Then you let it run, seven days, fourteen days, and watch how the market responds. If bookings arrive at $120 on the weekends that had been booking consistently at $100, you have learned something real: guests in your market will book you at $120, and the rate structure can move up to meet it. If the bookings do not arrive, you have learned that too, and you have learned it without exposing the rest of the calendar to the experiment.
The hedge step
The hedge is the step most operators would not think to run, and it is the one that does the most for occupancy. A control price you know works and a test price probing upward still leave the last-minute vacancies in your calendar untouched.
The hedge step is that near-in period, and its price points are deliberately lower than the rates you have been booking at. That is not a concession, it is arithmetic. Close to check-in there are fewer people booking at all, so the listings that fill are the competitive ones. A lower rate there is what moves end-of-month occupancy from 60% to 80%, or from 80% to 100%.
The nightly rate on hedge nights will look worse than your average, and that is the wrong number to judge it by. The point is the monthly total: those extra nights sold are nights that would otherwise have earned nothing at all, so the month can finish well ahead of where a half-empty calendar would have left it.
Three periods, not two seasons
Most pricing thinking runs in two dimensions: low season and high season, midweek and weekend. This framework adds a third. Every future date also belongs to one of three periods, hedge, control or test, and inside each period you set price points based on market conditions and your own bookability, meaning what has actually been working for your listing and what has not. The results then drive the next decision, which is the part that turns pricing from a habit into a process.
Finding your pricing ceiling
The purpose of the test period is to find your pricing ceiling. Any product or service has a range of prices people will pay, and a point beyond which they stop paying.
A bottle of water makes it obvious. In a shop it is worth about a dollar. Thirsty enough, you would hand over $10. Seven days into a desert, $100 sounds reasonable and $1,000 would not be out of the question. But nobody is handing over $10,000 for a single bottle of water, let alone $100,000. Somewhere in that range sits a ceiling, and your listing has one too.
If your listing has booking history, you already know roughly where your working price sits. If it is brand new, you are working from the rate you are genuinely confident will hold in your market. Either way the exercise is the same: find out how far that price can be pushed while guests still book, without losing out.
Losing out has a specific meaning here. It means pushing rates too high, failing to get booked, watching the peak booking window for those dates go by, and then having to drop rates across the whole calendar to recover. Holding the control price steady is what prevents that. It buys you room to move prices around outside that period without sacrificing your ability to fill the calendar through it.
Where most operators go wrong
The failure pattern is consistent. An operator launches a listing, prices it at $100 a night, and books well. Encouraged, they lift the rate to $150. Sometimes that works exactly as hoped, with bookings continuing and only a slight drop in occupancy.
The small drop is what causes the damage. The reasoning goes: if a 50% increase barely cost anything, another one will not either. So the rate goes to $225. This time the listing is priced out of the market and bookings stop almost entirely.
Then comes the wait. The rate sits at $225 while the period in which most people book those dates quietly passes. One, two, even three weeks out from arrival, the scramble starts. Down to $150, which does nothing, because it is late and there is less demand left to capture. Down to $100, which brings one or two bookings. Down to $50, or $75, purely to get something on the calendar.
The net result is a listing that went backwards. Not because $150 was the wrong rate, it may well have been the right one, but because there was no systematic way of finding out before the calendar was spent.
Evidence instead of guesswork
That is the argument for the three-step plan, compressed. The control price is held solid and left alone, because it is known to work. The test price probes upward on a different stretch of the calendar until it has proven itself. Only then do rates move up across the board, on empirical evidence that the marketplace supports the higher number.
The alternative is raising rates and hoping, which is throwing a dart at a dartboard blindfolded and finding out whether you hit anything only once the booking window for those dates has already closed.