If your STR missed its pro forma, which assumption actually moved?
I'll be upfront about who I am: I'm a financial analyst based in Hamburg, Germany. I don't own a US short-term rental. I work with financial models and variance analysis professionally, and I've been looking at STRs through that lens: what was expected when the property was bought, what actually happened after 12 months, and where the biggest differences came from.
One thing I keep noticing: when a deal underperforms, most people describe it as one general feeling ("it's not hitting what I expected"). But the gap is almost always concentrated in one or two lines, and it's usually not the one people name first.
A simple way to split it, if you have your original numbers:
Rate effect = (assumed ADR − actual ADR) × actual nights booked
Volume effect = (assumed nights − actual nights) × assumed ADR
Expense effect = whatever is left over
Add the three up and they reconcile to your total gap. It takes maybe 30 minutes with a transaction export and the spreadsheet you underwrote on. What surprises people is the split, plenty of hosts assume occupancy let them down, then find out they held occupancy by discounting, and the real damage was rate. Those two problems have opposite fixes, which is why the distinction matters.
What I'd like to learn from people who actually operate: for those of you who have gone back and checked, which line moved most? And did anything come in materially worse than you modeled, insurance, cleaning, the stuff nobody budgets properly?
Curious whether the pattern I see in the math matches what you see in the field.
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- Greer, SC
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I just buy vacation rentals to use and for the fun of it.
Some make money some break even. I don't sweat it either way.
I make the bulk of my money finding deals to turn into more LTR'S or occasionally properties to flip.