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 Garmisch: Four Hills Tournament ski jump in Garmisch-Partenkirchen on New Year's Day; Zugspitze glacier and the Alpspitze ski area; Partnachklamm gorge and summer alpine hiking; day trips to Neuschwanstein and the Bavarian royal castles. Guests I price for: Skiers and alpine hikers on week-long bookings, plus short-stay couples touring the castles who split time between Garmisch and Partenkirchen. Where I start: Building sharp New Year and school-holiday ski peaks against a summer walking peak, and defending rate through the muddy April and November shoulders with minimum-stay discipline.
Inside PriceLabs or Wheelhouse we load the ski jump, school holidays and summer events, set weekly winter rules and flexible shoulder stays, and keep Booking.com, Vrbo and Expedia aligned with Airbnb on price, spa tax and minimum stays across both seasons.
The service in general is described on my airbnb revenue forecast page; this page covers how I apply it in Garmisch.