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 Los Angeles: Award season and studio production travel; Coachella spill-over in April; Summer beach demand in Santa Monica and Venice; Conventions and sports at Downtown and Inglewood venues. Guests I price for: Mixed leisure, entertainment-industry and family groups, with long weekend patterns and a growing mid-term (30-plus-night) segment. Where I start: Neighborhood-level base pricing (Westside vs. Hollywood vs. Downtown), orphan-gap rules for Sunday to Thursday, and mid-term rate cards where the home-sharing ordinance limits short stays.
In PriceLabs or Wheelhouse I build separate profiles for beach homes, Hollywood stays, east-side homes and mid-term units, with stadium, award-season and graduation dates loaded as events. Airbnb, Vrbo and Booking.com carry the nightly calendar, while Furnished Finder carries a thirty-night rate card that never clashes with it.
The service in general is described on my airbnb revenue forecast page; this page covers how I apply it in Los Angeles.