An Airbnb revenue forecast is a month-by-month projection of occupancy, ADR and revenue for one property, set beside comparable listings. Buyers use it to test a purchase, operators use it to check an arbitrage lease, and hosts use it to set targets for a live listing.
What I plan around in Svalbard: Snowmobile and dog-sled expeditions; Midnight sun and wildlife cruises; Research and university (UNIS) travel; Polar bear and Arctic nature tourism. Guests I price for: Expedition travellers on 3 to 5 night stays, researchers and cruise passengers. Where I start: Limited supply priced by season, expedition-package positioning and Longyearbyen's very limited lodging supply.
Where letting is permitted, I set up the pricing tool with spring, summer and polar night as distinct seasons, festival dates loaded as events and minimum stays matched to flight days. I check the calendar against operator allotments every week, so public nights and contracted ones never collide in March or April.
The service in general is described on my airbnb revenue forecast page; this page covers how I apply it in Svalbard.