Nine units in the same lake town and my own listings are the comps

Question

I co-host nine cabins inside a six mile stretch of the same lake town, all on 18 to 20 percent of revenue. Each one has its own base price in PriceLabs, all of them run a 2 night minimum, and shoulder season occupancy across the group went from about 68 percent to 61 while ADR slid roughly $22. What worries me is the pattern: when unit 4 drops for an empty weekend, units 6 and 7 drop two days later, and the tool looks like it's reacting to unit 4. I think I've built a machine that bids against itself.

Two things I can't resolve. First, whether there's a real way to price a cluster as a portfolio when the software is built to price a single listing against a market. Second, if I start steering an inquiry from a booked cabin to an open one, whose interest am I serving, since each owner signed a separate agreement with me and none of them know how many others I run in that town.

Rena Expert · Accepted Answer

Your comp set is partly you. Dynamic pricing tools build a market view from nearby active listings, and when nine of the closest ones are yours, unit 4's weekend discount reads to the others as softening demand and they follow it down. That feedback loop is real, and it's worse in a small market with thin comp depth.

Before you rebuild anything, check whether the 7 point occupancy drop is actually yours. Pull town-level occupancy and ADR for the same shoulder weeks in the market dashboard, plus the change in active listing count. If the whole market fell 6 points and added 15 percent supply, your pricing didn't cause this and dampening the loop won't get the nights back.

The operational fix is differentiation rather than coordinated price floors. Ladder minimum stays so the cabins aren't competing for the identical trip, tighten orphan gap rules on the units that fill last, and stagger base prices by real product tier (dock, hot tub, sleeps 10) so a guest choosing between two of yours is choosing on fit. Set an occupancy target per unit and review manually at the group level weekly instead of letting nine independent algorithms chase each other nightly.

Steering is the part I'd get in front of. Routing an inquiry away from a booked unit is ordinary service; routing it toward the owner who pays you 20 percent over the one who pays 18 is a conflict, and whether that creates a legal duty problem depends on your agreement language and your state's rules on managing property for others. Have a local attorney read the agreements as a set.

The faster risk is that nine owners in one town eventually meet each other and compare statements. Decide now what your reporting shows and disclose the cluster in writing, because finding out from a neighbor is how you lose four contracts in a month.

karen_whitfield · Answer

Before you redesign anything, count the permits. If that town issues short term rental permits and the register shows something like 340 active, your nine are under 3 percent of supply and you are not moving that market. What moves it is the 40 new permits issued since the last shoulder season. Your tool can't tell the difference between your discount and a new cabin two coves over doing the same thing, and neither can you until you look at total listing count.

priya_n21 · Answer

Why not just put every cabin on a 3 night minimum and stop the weekend race entirely?

megan_doyle15 · Answer

Does PriceLabs actually know which listings in the comp set belong to me, or do mine look like strangers to it?

luis_carrera · Answer

@marlow a blanket 3 night minimum in shoulder season is how you turn 61 percent occupancy into 48. The two night weekend trip is most of the demand that time of year.

@compass the laddering idea is the one I'd test first, but I'd test it on two cabins, not nine. Put the two weakest performers on a 2 night minimum with aggressive gap filling and hold the rest at 3, then compare four weeks of RevPAR rather than occupancy, because occupancy will look better on the discounted pair no matter what. And I'd get ahead of the disclosure point. Nine owners, one small town, one grocery store... they're going to talk.

Nine units in the same lake town and my own listings are the comps

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