Occupancy vs profit: compare contribution before filling the calendar

Two calendars, one simple cost model

Assume a 30-day month, $25 variable cost per occupied night and $1,500 fixed costs. To isolate rate and occupancy, assume no platform fees or cleaning income/cost. These are original hypothetical examples, not market estimates.

Add the turnover effect

At equal booked nights, a two-night average stay creates twice as many estimated turnovers as a four-night average stay. If cleaning charges do not fully cover the cost after fees, that difference reduces contribution. If they do cover it, do not assume longer stays automatically improve every financial outcome.

The cleaning calculator holds occupancy constant to isolate stay length. It does not predict that increasing a minimum stay will leave demand unchanged. Test a lower booked-night assumption separately.

Make a comparison you can learn from

Keep the analysis period, cost categories and available capacity consistent. Report revenue, contribution, housing payment and cash flow for each scenario. Include a low-occupancy case so the choice is not based on one favorable assumption.

Once you have actual records, compare similar periods carefully. Seasonality, local events, cancellations and changing inventory can make a simple before/after comparison misleading. We provide scenario arithmetic, not a causal claim about pricing changes.

• Separate a rate change from an occupancy assumption.
• Include cleaning frequency and fee recovery.
• Avoid comparing different cost definitions.
• Keep a record of actual outcomes outside this tool.

Separate three changes often bundled together

A lower rate changes revenue per occupied night. A higher booked share changes how many nights contribute. A shorter stay changes turnover frequency. Change all three without recording them and the main driver becomes hard to identify.

For a discount test, keep stay length and costs fixed first. Test extra booked nights separately. Then vary average stay if the mix might change. These comparisons expose assumptions; they are not causal estimates of a discount’s effect.

Check the cost of filling one more gap

A short gap can add revenue while requiring a full turnover, travel and arrival handoff. Compare income after fees with the additional costs. Rent already committed for the month answers a different question from the marginal cost of accepting another stay.

Do not use the monthly break-even rate as the only rule for every gap. Repeatedly taking stays below sustainable contribution can still leave the month short of fixed commitments. Keep both decisions visible.

Policy / product reference: Airbnb service fees. Numeric examples and worksheets are HostMetrio illustrations.