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 Phuket: European and Russian winter travel; Chinese New Year; Diving and beach season; Wellness retreats. Guests I price for: Couples and families on 7 to 14 night villa stays in Bang Tao, Kamala, Rawai and Nai Harn. Where I start: Villa pricing with a deep monsoon discount, weekly and fortnightly discount ladders, and Christmas to Chinese New Year premiums with minimum stays.
On Airbnb, Booking.com, Agoda and Vrbo I set up PriceLabs or Wheelhouse with peak minimum stays, weekly and fortnightly discount ladders, monsoon floors and gap rules, while aligning cleaning, staff and pool fees across every channel. Villa calendars on Vrbo and Airbnb get the same seven-night peak rules so neither channel splits a fortnight.
The service in general is described on my airbnb revenue forecast page; this page covers how I apply it in Phuket.