Across 449 bookings at our own three buildings and six rooms, over the twelve months from August 2025 to July 2026, the median gap between a booking being made and the guest arriving was 42 days (measured 21 August 2026, published with the calculation method at operating data).
42 days is exactly six weeks. Because it is a median, half of all bookings arrive earlier than that. Next month's occupancy is already half decided before next month begins. This article follows that single fact through to the things it decides in practice.
What is booking lead time, and why a median rather than an average?
The number of days between a booking being confirmed and the guest arriving. Across our 449 bookings the median was 42 days.
The median is the middle booking when all 449 are lined up shortest to longest. An average is the wrong tool here because lead time has a long right tail: a handful of bookings made half a year out drag the mean upward and stop it describing how bookings actually arrive. A median gives the reading you can work from directly, that half land before this point and half after.
The flip side is that a median says nothing about how far that tail runs. We do not publish our distribution, so rather than assert a figure: line your own bookings up by the gap between booking and arrival, and count how many exceed 90 days. If there are bookings out there and your calendar closes at three months, that demand was never visible to you at all.
What does a 42-day median decide about next month?
That half of next month's bookings are already in six weeks before it starts. Turned around: today's rates and today's listing copy mostly affect the month after next, not the one coming.
Laying out what gets decided when, with the 42 days as the axis:
| When the change is made | Share of that date's bookings it can reach | What it means in practice |
|---|---|---|
| More than 42 days before arrival | More than half | This is where rate, photography and listing copy do their work |
| Within 42 days of arrival | The other half | The window for adjusting against how the month is filling |
| The last week before arrival | Part of that half (we do not publish the split) | The only range a discount can move at all |
How far does a last-minute discount actually reach?
There is little inventory left to move, and a discount is charged against a whole booking rather than a single night. Occupancy of 83.6% means 16.4% of nights are empty, about 4.9 nights per room in a 30-day month, and they are not one block: they sit as one-night and two-night gaps between stays.
A discount is set on a date, but a booking covers 3.3 nights on average, so cutting the price of a date to fill one empty night also cuts the rate on the 3.3 nights of whichever booking crosses it. What you give up, converted into nights:
| Discount aimed at one empty night | Given away across a 3.3-night stay | Net |
|---|---|---|
| 5% | 0.17 nights | +0.83 nights |
| 10% | 0.33 nights | +0.67 nights |
| 20% | 0.66 nights | +0.34 nights |
| 30% | 0.99 nights | +0.01 nights |
| 40% | 1.32 nights | -0.32 nights |
Where is the break-even on discount depth?
At an average stay of 3.3 nights, around 30%. One divided by 3.3 is 30.3%, and past that the discount gives away more than the night it was meant to sell.
That is an upper bound, because it assumes the booking would have arrived at full rate anyway. If the discount genuinely brought in a booking that would not otherwise exist, the real loss is smaller, but you cannot tell the two apart afterwards. That makes a deep discount a trade of a certain drop in rate against a maybe (occupancy and rate are only read as a pair).
One more thing decides this in practice: minimum stay. A one-night gap under a two-night minimum will not sell at any price, so check that gap length and minimum stay are compatible before discounting.
If a rate is going to be wrong, is it safer to be high or low?
High. A 42-day median makes pricing mistakes asymmetric.
| The mistake | When you find out | Can you answer it? |
|---|---|---|
| Priced too low | After the booking is taken, often six weeks or more before arrival | No. The rate on a confirmed booking cannot be moved |
| Priced too high | From a calendar that is not filling, while arrival is still ahead | Yes. The other half of the demand has not arrived yet |
When can the effect of new photos or new pricing be measured?
About three months after the change. At a 42-day median, half the bookings arriving in the next six weeks were already sold under the old settings.
Swap the photography and the rates in early September, and October's results are still half the product of the old setup. The first month whose demand is gathered almost entirely after the change is November, and its result lands in early December. When numbers do not move immediately after switching management companies, this is usually why (switching management companies).
So a handover or a listing rebuild is judged on the rate and pace of bookings taken since the change, not on next month's results. Judging it on next month's P/L is grading the previous operator's work (reading the monthly P/L).
What we do with the 42 days, and what we will not promise
We put the weight of the work more than six weeks before arrival. Rates are revised daily rather than seasonally, and listing maintenance is continuous rather than saved for a quiet month. What can be done close to arrival happens only on the remaining half, and the tool available there is a discount.
We do not tell an owner what their lead time will be. 42 days is what our own six rooms in Tokyo and Sapporo recorded over twelve months, and it moves with location, capacity, the mix of guests and which channels a property is listed on. What we commit to is measuring the lead time of the property we take on during the first months, and setting that property's pricing deadline from its own number.