Occupancy is often the first number an Airbnb owner looks at: how many nights have been booked, how many gaps remain and whether the month looks better than last year. A full calendar creates a sense of security. It does not, however, prove that the property is bringing in more money.
The rates at which bookings were made, channel commissions and the cost of servicing each stay can significantly change the final result.
This is the useful takeaway from a relevant analysis by KeyData: occupancy becomes truly meaningful when considered alongside the property’s revenue, rates and expenses.
Fewer booked nights, more revenue
Let us take a hypothetical example involving two properties, each with 100 available nights during the period being examined.
The first sells 50 nights at an average rate of €100. It records 50% occupancy and accommodation revenue of €5,000.
The second sells 40 nights at an average rate of €150. Its occupancy is lower, at 40%, but its revenue reaches €6,000.
With ten fewer booked nights, the second property brings in €1,000 more revenue. This example does not mean that raising prices guarantees better performance. It shows that occupancy alone is not enough to assess the result.
The three figures that need to be considered together
For an initial picture of performance, a host needs to consider:
- Occupancy: The percentage of available nights that were sold.
- Average daily rate, or ADR: Accommodation revenue divided by the number of nights sold.
- Revenue per available night, or RevPAR: Accommodation revenue divided by all available nights.
In the example above, RevPAR is €50 for the first property and €60 for the second.
The latter metric combines rate and occupancy and helps show whether the available calendar is being used more effectively. However, it remains a revenue metric. It does not show net profit.
What is left after each booking?
Two properties with the same revenue may have different financial results. Platform commissions, management costs, energy, consumables and preparation work affect the amount ultimately left over.
Length of stay is also particularly important. Ten bookings of two nights require more guest turnovers than four bookings of five nights, even though 20 nights are sold in both cases.
Each additional departure creates a need for cleaning, laundry, inspections and coordination. Even when a separate cleaning fee is charged, it is necessary to examine whether it covers the actual cost.
Before lowering your rate, look at when bookings come in
A month with several gaps does not automatically mean that the property is expensive. Before offering discounts, it is worth examining how far in advance guests usually book and whether this behaviour has changed. If bookings are being made closer to arrival, the calendar may temporarily look weaker.
A meaningful comparison looks at the same stay dates from the same point in advance. For example, what had been booked for November by mid-October last year, and what has been booked this year?
At the same time, hosts need to check the total price guests see, the minimum length of stay and how genuinely comparable properties are performing.
Pay attention to which nights you count
Airbnb occupancy can give a misleading picture when it is unclear what counts as an available night. Days blocked for personal use, maintenance or other reasons must be distinguished from paid bookings. A blocked public calendar does not prove that every night has been sold.
Similarly, an increase in occupancy requires careful consideration when it results from the property being offered for fewer days. When comparing periods, the calculation method must remain consistent.
The useful question at the end of the month is specific: how much revenue did the available calendar generate, how much did it cost to service the bookings and what was left for the owner?
