Example: https://www.airbnb.com/rooms/12345678 or just: 12345678
Monthly revenue = ADR × Occupied nights
. Occupied nights = Available nights × Occupancy
. Example: 30 nights available, 65% occupancy and 90 USD ADR ⇒ Occupied nights = 19.5 → Revenue ≈ 1,755 USD. With longer stays, make sure available nights reflect your calendar.
Use your history and local benchmarks. Consider seasonality, lead time and stay mix. As a rule, model 3 scenarios: conservative (-10 pp), base and optimistic (+10 pp). If you lack data, start from competitive sets and validate with our Analyzer.
ADR should represent a typical month. Median is robust to spikes (events) and heavy discounts. If you run dynamic pricing, compute effective ADR net of coupons to avoid overestimation.
Enable and adjust average stay. Long stays often lift occupancy while pushing ADR down due to weekly/monthly discounts. Simulate multiple stay lengths and ensure available nights reflects your real calendar.
Improve photos, key amenities (fast wifi, workspace), align dynamic pricing with local demand and manage min/max stay. Add early-bird/last-minute rules with caps to avoid weekend cannibalization.
It’s the additional revenue you can earn after improvements (pricing, operations, merchandising) compared to your current baseline. The calculator estimates this incremental difference.
We combine expected changes in ADR and occupancy, along with nights available. Uplift ≈ (New ADR × New Occupancy × Nights) − (Current ADR × Current Occupancy × Nights). You can adjust assumptions.
By default we focus on revenue. If you also want net profit impact, add platform fees and any management fees to compare apples to apples.