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 Chiang Mai: Yi Peng lantern festival; Digital-nomad demand in Nimman; Cool-season tourism; Songkran. Guests I price for: Remote workers on monthly stays, international travellers on 3 to 5 night stays. Where I start: Monthly discount ladders, festival premiums, and burning-season floors.
On Airbnb, Agoda and Booking.com I set up PriceLabs or Wheelhouse with Yi Peng and Songkran overrides, monthly discount ladders for remote workers and burning-season floors. If your building only allows 30-night stays, I build the Airbnb listing around monthly pricing alone and keep it off nightly channels.
The service in general is described on my airbnb revenue forecast page; this page covers how I apply it in Chiang Mai.