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 Lombok: Bali overflow and surf season in Kuta Lombok; Gili island travel; MotoGP at Mandalika; Diving and Rinjani trekking. Guests I price for: European and Australian travellers on 4 to 7 night stays. Where I start: Dry-season premiums, event weeks, and rainy-season floors.
On Airbnb, Booking.com and Agoda I set up PriceLabs or Wheelhouse with dry-season bands, MotoGP premiums and rainy-season floors, and I make sure the listing explains boats, roads and transfers, because clear access information often decides whether guests book four nights or seven.
The service in general is described on my airbnb revenue forecast page; this page covers how I apply it in Lombok.