All three will move your rates competently. They differ on how much comparable-property data sits underneath, and on how you pay: a flat per-listing fee or a slice of what you book. For a manager, the billing model matters more than the feature list, because one of them gets more expensive precisely when you succeed.
$19.99 per listing per month with volume discounts, or a 1% of revenue plan.
The category default, with the deepest market data behind it.
Strong at. The comparable-property data is the best available, which matters most in thin or unusual markets. Deep controls if you want them.
Weak at. The depth is only an advantage if someone uses it. Most portfolios on it are running near defaults.
1 to 1.25% of booked revenue, $2.99 per listing minimum.
Established platform, priced purely as a share of bookings.
Strong at. Nothing to pay when nothing is booked, so it is forgiving on seasonal or new portfolios.
Weak at. The bill scales with your revenue forever. Add $20,000 a month to your portfolio and you have given your vendor a raise for it.
$19.99 per listing per month flat, or 1% of booking revenue.
A middle path with a strong recommendations layer and a choice of billing.
Strong at. The only one of the three that lets you pick your billing basis, which is genuinely useful across a mixed portfolio.
Weak at. Data depth sits behind PriceLabs in less dense markets.
This comparison assumes you will be the one operating whatever you pick, and for most managers that assumption is where the money leaks. All three tools are capable; none of them decides your strategy, watches the ninety days ahead of an event, or notices a minimum stay quietly costing you weekends. If that weekly pass is not happening, choosing between these three is choosing which good tool to leave on defaults.
| If this is you | Pick |
|---|---|
| You are in a thin or unusual market | PriceLabs, for the comparable-property data. |
| Revenue is low or highly seasonal | Beyond, while the percentage stays small. |
| You want to choose your billing model per portfolio | Wheelhouse. |
| Nobody has an hour a week per handful of listings | The tool is not your constraint. Fix the attention first. |
We publish our client reports across 9 markets, redacted for privacy with every figure left untouched, including the portfolios that went backwards. It is the only claim on this page you can verify without taking somebody's word for it, which is exactly why it is there.
PriceLabs for most, on the strength of its comparable-property data. Wheelhouse if you want to choose between flat and percentage billing. Beyond if your revenue is low or seasonal enough that a percentage stays cheap. All three are good; none of them replaces a weekly human pass.
Flat, at almost any scale a manager operates at. A percentage is cheaper only while your revenue is small, and it charges you more every time your pricing works. Model it at the revenue you expect next year, not the revenue you have.
All three connect to the major systems and to the booking channels directly. Connection is rarely the deciding factor. Whichever you land on, keep the account in your own name and pay for it directly. That is how you keep your data and your history if you ever change your mind.