Let me tell you what happens every single time I take on a new client.

They’ve been using PriceLabs for anywhere between three months and three years. They set it up when they first heard about dynamic pricing, followed a YouTube tutorial, maybe adjusted a few sliders — and then more or less left it alone. The calendar looks busy. The reviews are good. And yet something feels off. The numbers never quite hit where they should.

Then I log in.

Within ten minutes I can usually identify three to five specific settings that are quietly costing them thousands of euros per year. Not because PriceLabs is a bad tool — it isn’t. It’s one of the best on the market and it’s the first thing I recommend to every client I work with. The problem is that PriceLabs is a precision instrument being used like a light switch. On or off. Set and forget.

That’s not a strategy. That’s a guess wearing a dashboard.

The Three Most Common PriceLabs Mistakes I See

1. The comp set is wrong — and nobody has checked it in months.

PriceLabs builds your pricing recommendations based on what comparable properties in your area are doing. But “comparable” is doing a lot of work in that sentence. I’ve seen comp sets that include budget apartments when the client owns a luxury villa. I’ve seen sets that pull in properties from the wrong neighbourhood entirely, or that haven’t been refreshed since the client first set up their account.

If your comp set is wrong, everything downstream is wrong. Your floor rate, your weekend premiums, your seasonal adjustments — all of it is being calculated against the wrong baseline. It’s like calibrating a scale using the wrong weights and then wondering why your measurements are off.

The fix: audit your comp set every 90 days minimum. Pull only properties that genuinely compete for the same guest, at the same price point, in the same micro-location. In a market like the Costa del Sol or Mallorca, that distinction matters enormously.

2. The floor rate is either too low or completely absent.

Your floor rate is the minimum you’ll accept for a night. It’s your protection against the algorithm giving away your property at a rate that doesn’t even cover your costs.

Most hosts either set it too low out of fear of empty nights, or don’t set it at all. Both are expensive mistakes. A floor rate that’s too low tells the market — and tells guests — that your property is a budget option. It attracts the wrong guests, increases wear and tear, and anchors your ADR at the bottom of the range even when demand is high.

In premium European markets — Ibiza, Tuscany, the Algarve, Santorini — your floor rate should reflect the minimum acceptable return on your investment, not the minimum you’ll accept out of panic.

3. Nobody is watching pacing.

This is the one that surprises people most. Dynamic pricing isn’t something you set up and check monthly. It’s a weekly discipline. What is your 30-day pacing looking like versus last year? Are you tracking ahead or behind? Are there gaps in your calendar three weeks out that need a short-term push, or are you fully booked and leaving premium last-minute rates on the table?

Pacing is where the real revenue management happens. The algorithm can’t feel the market the way an experienced revenue manager can. It doesn’t know that a major conference just announced it’s coming to your city, or that a competitor just pulled their listing, or that last year’s Easter spike is hitting two weeks earlier this year.

That context is what turns a good pricing tool into a great revenue strategy.

What Good PriceLabs Management Actually Looks Like

It looks like someone logging in every week, not every quarter. It looks like a comp set that gets reviewed and refined based on real market movement. It looks like floor rates that reflect your actual cost structure and positioning. It looks like seasonal curves that are built on data, not instinct.

Most importantly, it looks like a system — not a series of one-off adjustments made whenever something feels wrong.

I’ve managed revenue across more than 1,000 properties globally, and the single most consistent finding is this: the tool is rarely the problem. The process around the tool is almost always the problem.

If you’re using PriceLabs — or any of the other major tools — and you’re not sure whether your settings are working as hard as they should be, the honest answer is that they probably aren’t. Not because you’re doing anything wrong. But because configuring these tools correctly requires a level of market knowledge and ongoing attention that most owners simply don’t have time for. I cover how the tools compare in detail in PriceLabs vs Wheelhouse vs Beyond Pricing: Which Is Right for Your European Vacation Rental?

That’s exactly what I do.

Ready to find out what your settings are costing you?

My Revenue Leak Audit takes two weeks and delivers a personalised Loom walkthrough of exactly what I’d fix first in your account — including your PriceLabs configuration. It’s the fastest way to know whether you’re leaving money on the table, and how much.

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Want to go deeper? The Hive Method Workbook covers everything in this article and more — including the exact PriceLabs configuration framework I use across my client portfolio. Explore Hive Academy →