Every revenue projection rests on a comparable set, and most comparable sets are assembled by filtering on bedroom count and distance. That produces a list of properties in the same area with the same number of bedrooms, which is not the same thing as a list of properties competing for the same guest.
What makes a property genuinely comparable
- Same submarket, not the same city. In the Smokies, drive time to the Parkway puts two identical cabins in different pricing tiers.
- Same bedroom count. Guests filter on it, so it defines the competitive set discretely rather than as a gradient.
- Same amenity tier. A cabin with hot tub, view and game room is not comparable to one with a hot tub only.
- Same access characteristics. Distance to the beach, the lift, the park entrance or the water.
- Same broad quality level. A renovated property and a dated one at the same size compete for different guests.
How many and where from
Twelve to twenty properties. Fewer and the sample is too small to be reliable in a seasonal market; more and the set starts including properties that are not genuinely competitive.
Pull them yourself from the platforms rather than accepting a tool's automated set. The automation cannot see the amenity gap, the view claim, the road condition or the drive time, and those are what separate performance within a bedroom-count bracket.
For each, record twelve months of booked nights and rates. A peak quarter tells you nothing about the shape of the year, and the shape is where the underwriting risk lives.
The exclusions that matter most
Exclude properties that are obviously mismanaged. A listing with three reviews, poor photography and a static rate is not showing you what the market pays, it is showing you what a poorly run property earns.
Exclude properties with a materially different amenity set in either direction. A superior comparable overstates what your property can achieve; an inferior one understates it.
Exclude properties at a different scale. A nine-bedroom lodge is not a comparable for a four-bedroom cabin even at the same address, and including it corrupts the average badly.
Adjusting for the subject property
Once the set is assembled, position the subject property within it honestly. Where does it sit on the amenity list? On access? On finish level?
A property that sits at the bottom of its comparable set on two of those dimensions will underperform the set average, and the projection has to reflect that rather than using the mean.
This is where the amenity gap gets priced. If the set has hot tub, view and game room and the subject has one, the cost of closing the gap belongs in the entry cost, and the physical constraints that cannot be closed cap the property permanently.
The first-year ramp
A new listing does not perform like an established one. Platform ranking weighs recent booking velocity and review count, and a property with no reviews competes at a disadvantage.
The projection should include a ramp: reduced performance for the first several months while reviews accumulate, converging toward the comparable set thereafter.
How long the ramp takes depends on launch execution. Ashley and Billy's close to 80 nights in 21 days compressed it substantially, and a property that launches slowly extends it into a second season.
What a seller's proforma does instead
Seller proformas are routinely assembled by extrapolating peak-season rates across twelve months. That produces a revenue figure the property will never reach and a price that assumes it will.
They also frequently use a comparable set chosen to flatter, including superior properties and excluding the ones that would drag the average down.
Treat any proforma supplied by a seller or listing agent as a marketing document. The correct response is not to argue with it but to build your own from a set you assembled, and to negotiate from that.
What the finished analysis looks like
Twelve individual monthly revenue figures for the subject property, derived from the set and adjusted for the subject's position within it, with a first-year ramp applied.
A complete expense stack: debt service at the actual rate, property tax reassessed at your purchase price, insurance quoted for the specific address, management all-in, cleaning per turnover, utilities at rental-use levels, association dues, and reserves for maintenance and capital expenditure.
Then a stress test: revenue at 75%, three lost peak weeks, insurance 40% higher, and for city and California properties the long-term rental floor. If it clears all of that, you have a defensible analysis rather than a hope.
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Frequently asked questions
How many comparables do I need for a short-term rental analysis?
Twelve to twenty properties in the same submarket at the same bedroom count and amenity tier, with twelve months of booked nights and rates for each. Fewer is too small a sample in a seasonal market; more starts including non-competitive properties.
What is the most common comparable set error?
Including properties the subject does not genuinely compete with, usually by filtering only on bedroom count and distance. A cabin with hot tub, view and game room is not comparable to one with a hot tub only, even at the same address.
Should I use an automated comparable tool?
For screening, yes. For underwriting, assemble the set yourself. Automated tools cannot see the amenity gap, whether a claimed view is real, road conditions or drive time to the demand anchor, and those separate performance within a bedroom bracket.