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 Finger Lakes: Wine trails and harvest season; Watkins Glen racing and gorge hikes; Cornell commencement and move-in; Lake-house summer demand. Guests I price for: Northeastern couples and families on 2 to 4 night stays, university families on event weekends. Where I start: Harvest and commencement premiums, summer lakefront weekly pricing, and winter floors.
In PriceLabs or Wheelhouse I add Cornell and Ithaca College events, Watkins Glen races and harvest weekends as custom events, keep weekly stays for lake houses in summer, and set winter floors and monthly settings that reflect the quiet season.
The service in general is described on my airbnb revenue forecast page; this page covers how I apply it in Finger Lakes.