Unit 5 · Maximizing Performance Through Iteration · Lesson 5.7
Reading your pricing performance
Three signals tell you what your pricing is doing: where the bookings landed across the hedge, control and test steps, how each step is tracking against its own occupancy target and the comp set, and how the picture changes month by month. Read them together and each pattern points to one decision: hold, come down, or push higher.
The full lesson text below is an edited transcript of the video, published 2026-08-24. The complete course is free at the playbook.
Before the numbers mean anything
Every read below assumes your listing converts. Guests see it in search results, a decent share of them open it, and a decent share of those who view it go on to book. If that is not true, conversion is the first problem to solve, ahead of any pricing decision. Rates can always come down: anyone can sell dollar bills for 80 cents. The point of a listing that converts well is that you only drop rates when you genuinely have to, and you can raise them when the market supports it and still get booked.
The second prerequisite is time. Give the three-step strategy at least a couple of weeks in market, or at least one completed test, before you read anything into the results. A verdict drawn from a handful of bookings is noise, not evidence.
Where the bookings landed
The first question is which step the bookings came through: the hedge, the control or the test. The healthy pattern is a clear majority in the control period, with a few bookings spread across the hedge and the test. What you do not want is a majority landing in either the hedge or the test.
A majority in the hedge is the most common failure, and it is easy to misread as success because the calendar is filling. It is not success. It is a sign that your control pricing is too high. Guests are seeing your control and test rates, booking somewhere else, and only coming back once the price falls to your hedge rate.
The opposite pattern, no bookings or very few bookings in the control period, points to one of two things: the control price is not working, or the market has not had long enough to respond favourably or unfavourably to what you have been advertising.
Booking counts also need context before you judge them. If you entered the test early because a run of bookings came through, that short iteration simply has fewer bookings in it, and the read is far less reliable. A two-week cadence should produce a reasonable number to work with, and a longer look, monthly for instance, produces more still.
Existing occupancy matters too. If the next three months were already solidly booked before you started, expect very few new bookings to show up in the period. Nothing is broken. You simply had very little availability left for the market to buy.
What the average booked rate says
The second question is what guests actually paid. That figure is an average booked rate across every date that was booked, and it does not separate midweek from weekend. A run of weekends at $250 and midweek nights at $150 arrives as a single blended number. It is not precise, but it does indicate the price point your market responded to.
Peak dates skew it. If your control period runs up against a summer high season and half the bookings made in that period are for high season nights, the average booked rate will read significantly higher than your low season reality. That is not a fault to fix, but it is a reason never to read where the bookings landed in isolation. Step level health and a month by month view exist to catch exactly this.
What the hedge step is for
The hedge covers the nights closest to today, and its objective is to maximise occupancy. Once a date passes, it cannot be sold at any price. So the job here is a competitive rate that wins the last few remaining vacancies, with your price position balanced against both the current occupancy of your comp set and its expected final occupancy.
For most operators the hedge is short, somewhere between one day and about 30 days out, with a few unusual exceptions. There is usually less booking activity in that window, though some markets do see a large last minute surge, which changes how the hedge is handled. Because of those two facts, rates in the hedge have to be conservative in almost every scenario in order to maximise occupancy and the revenue that comes with it.
This is worth stressing: the hedge is not where you want the bulk of your bookings. It is where the leftovers get sold.
When to push hedge rates up
Aggressive means higher prices. Conservative means lower prices. Two situations justify being aggressive in the hedge.
The first is when expected comp set occupancy sits significantly above current comp set occupancy. If the market is expected to finish at 80% and is currently at 20%, a large volume of last minute bookings is still to come, and you can hold a higher rate to catch them.
The second is when expected occupancy is simply very high. If you are close to the last property available and there are still guests looking for somewhere to stay, that is a seller’s market and your pricing can reflect it.
Be careful with both. Aggression in the hedge is a risky game, because the window is short and once the date passes you cannot sell it again. Demand does not rewrite what your property is worth: a listing that normally books at $100 is not going to book at $5,000 no matter how tight supply is. Push too far and nobody books at all. They drive to the next town, or they skip the trip and go home for the night.
When to hold hedge rates down
Two signals say be conservative. The first is current comp set occupancy already sitting close to its expected final occupancy. If the market is expected to finish at 40% and is already at 38% or 39%, very few last minute bookings are expected, and your rate has to be conservative to win any of them.
The second is a very low expected comp set occupancy in the first place. Anything under 40% counts as a very low market occupancy, and in that environment it does not matter how good your property is, premium rates are not going to be justified. Be extra conservative through the hedge.
Expected occupancy is a prediction, not a fact. Nobody has a crystal ball. But when the market is nearly done buying, or was never going to buy much, conservative pricing is the high probability call.
The control step and its occupancy target
The control is where you want the majority of bookings, and its objective is maximum occupancy driven through this period. Maximum does not mean 100%. The target range is 40% to 80% occupancy achieved during the control window, and where you sit inside that range depends on how long the window is.
A short control period, seven days, fourteen days, anything under 30, should be pushed toward the higher end. A long control period should not. Filling 80% or 100% of every night between day 14 and day 80 or 90 before check-in is an enormous number of bookings to have already made, so 40% occupancy is perfectly healthy when the window is that wide.
The default posture in the control is conservative enough to keep bookings flowing, and it stays that way until there is evidence that a higher price will produce results. That evidence is exactly what the test period is for. If bookings come through consistently at a test price sitting above your control price, you have statistical validation that guests will pay it, and the control price can be lifted to match.
One more rule for this period: unless expected comp set occupancy is very high, in the 80% to 90% region, you do not want to be trailing the market on occupancy. Even or above is the aim, and the lower the expected market occupancy, the more firmly that applies. If the comp set is only heading for 40%, you want to be well ahead of it.
When to bring the control price down
The clearest signal is your own occupancy sitting below where you need it. If you are aiming for a full calendar and the control period is delivering 20% or 30%, the price point is too high, because everything left over has to be picked up later in the hedge, at your rock bottom last minute rates, in a window where few bookings are made anyway. Reducing the control price slightly to lift occupancy through the control window is the more intelligent trade.
The second signal is medium to high market occupancy while you trail it. Above roughly 80% market occupancy it is acceptable to trail. Below that, trailing the market means the market is telling you that you are overpriced.
The third is the harshest version of the same message: market occupancy is very low, say 30%, and yours is even with it or worse at 20% to 25%. Other operators may well be advertising higher rates, but if you want bookings your price has to come down far enough to actually get them.
The fourth is a significant share of bookings arriving in the hedge, assuming your step lengths are set correctly. That means guests are rejecting your control and test rates and waiting for the hedge. The arithmetic is simple. If your hedge price is $100 and your control price is $200, any reduction in the control price that still leaves it above $100 earns more per night than letting those bookings fall through to the hedge.
When to push the control price up
Raising rates in the control period needs both sides of the picture pointing the same way. When your occupancy is high and comp set occupancy is also high, you can increase substantially. Demand is there and you are capturing it.
When your occupancy is high but market occupancy is low, you can increase a little, and only a little. Your current price point is working in a market where others are struggling. Push it more than gently and you risk turning off the very guests who were booking, leaving you to pick those nights up last minute in the hedge.
The strongest case for pushing is a very high expected comp set occupancy, 90% or above, alongside your own occupancy running between 50% and 80% through the period. That combination says demand is deep and you are already getting booked. Holding your rate flat through it leaves money on the table.
If your own occupancy is not high, none of these apply. There is no justification for raising the price.
The test step and how to read it
The objective of the test is to find your pricing ceiling: incremental increases above the price that is already working, until you establish a rate that gets booked consistently.
Expect fewer bookings here, by design. Your price position is deliberately higher than in the control, so other properties get booked first. If you used to take a lot of very long lead bookings, expect fewer of those too, because you are holding out for a better rate than you accepted before.
You do not want to out-book the market during the test. High occupancy through your test period means you are overbooked relative to the market, and that is a signal you have room to raise further.
Keep the increments small. If your control price is $100, test $120 or $125 rather than doubling to $200. Nobody is reinventing the wheel inside a fortnight. The horizon on this is two, three, four, five years of compounding better decisions, so the aim is to maximise occupancy and revenue in the short term while the ceiling gets found properly over the long term.
What counts as a successful test
Raise your test rate when two things are true together: you have been booked at the current test price, and your occupancy is higher than the market’s. That combination is a strong indication the ceiling is higher than where you are sitting.
If you have not yet been booked at the current test price, do not raise it. Guests have not responded favourably to the rate you are advertising, and adding to it makes that worse.
The distinction that matters most here is subtle. Occupancy already sitting on your calendar in the test window is not proof of anything about your test price. Those nights may have been sold earlier, at earlier rates. Only a booking made at the price you are currently advertising counts as a successful test of that price. Confusing the two is how operators talk themselves into a rate the market never actually accepted.
Reading it month by month
The last read is the granular one, and it exists to show you what is happening inside a step when that step spans both low season and peak.
Take a test period that runs across a high season and a low season. Bookings come through at a high rate during the peak dates, and few or none during the low season dates. At step level that looks like a validated test: you have been booked, and booked well. In reality the low season price you are testing has never been booked at all, and raising it further would be a decision built on the wrong evidence.
That is the whole case for using all three reads together. Where the bookings landed tells you which step the market is buying in. Step level health tells you whether each step is doing its job against the comp set. The month by month view tells you which of those signals are real and which are seasonal illusions. One read alone will mislead you often enough to matter.