Revenue Management Case Vacanza: PriceLabs vs Wheelhouse vs AirDNA

Tourism is growing, but the gap between arrivals and overnight stays tells a different story

Anyone renting an apartment in Genoa in 2026 finds themselves in an unusual position: the macro data is favorable, but translating it into concrete revenue requires more work than it seems.

The most interesting detail for those doing pricing, though, isn’t the growth itself, but the way it’s distributed.

In practical terms: more people are arriving, and staying slightly longer, but not evenly throughout the year. This means the city is capturing growing demand, but the weekly and seasonal distribution of that demand remains uneven — and that’s precisely where static pricing loses value compared to dynamic pricing.

On the specific front of short-term rentals, the Ligurian picture remains a niche market compared to the overall housing stock.

One final piece of context concerns rates: higher rates don’t automatically equal higher revenue if occupancy drops in the same period — and that’s exactly the kind of trade-off a dynamic pricing algorithm is designed to handle better than a fixed rate table.

What is revenue management (and why fixed pricing is expensive)

Revenue management, applied to vacation rentals, is based on three metrics worth understanding before choosing any software. The first is ADR, the average daily rate, which provides a view of average revenue per occupied, paying room and is a fundamental metric for evaluating the revenue generated by each guest. The second is occupancy rate, that is, the percentage of available rooms occupied in a given period. The third, the most important because it encompasses both, is RevPAR — revenue per available unit — which is calculated by multiplying the average daily rate by the occupancy rate and represents the true barometer of an listing’s profitability.

The problem with fixed pricing is that it optimizes at most one of these three variables, rarely all three together. An owner who sets a high price for the entire summer risks empty nights during weekday periods; one who chooses a cautious price to “always sell” leaves margin on the table on weekends and during city events. Revenue management tools are created to automate exactly this trade-off, updating the price every day based on demand, competition, and remaining booking window.

PriceLabs, Wheelhouse and AirDNA: three different approaches to the same problem

The three tools most frequently mentioned by professional operators are not interchangeable: they start from different pricing philosophies and this is also reflected in the cost model.

PriceLabs: the most widespread, the most configurable

PriceLabs offers a per-listing pricing model, with plans differentiated by geographic area and, as an alternative to the fixed fee, a percentage option on booking revenue for those who prefer a cost linked directly to earnings. The plan includes Dynamic Pricing, Listing Optimizer, Market Dashboards and Revenue Estimator Pro, but some additional features — such as multiple daily synchronizations — may entail extra costs compared to the standard plan. It should be noted that, by adding API access and extra synchronizations, on large portfolios the actual cost can rise significantly compared to competing solutions like Wheelhouse.

PriceLabs’ strong point remains data depth: the platform is described as one of the most widespread dynamic pricing tools in the short-term rental sector.

Wheelhouse: hybrid pricing and cost transparency

Unlike PriceLabs, Wheelhouse includes API access and daily synchronization in every paid plan, with no additional costs. The downside is that for listings with high monthly revenues, the percentage model can be more expensive than the fixed fee, depending on which of the two options is higher.

AirDNA: market data first, then pricing

AirDNA was born as a market analysis platform rather than a real-time pricing engine: it provides short-term rental data based on Airbnb and Vrbo on a global scale. Its flagship product, the Rentalizer, remains a reference tool for estimating a property’s revenue potential before even putting it to work. For owners who mainly want to understand “what is my market worth” before deciding whether to entrust a manager, AirDNA remains the reference tool; for those looking for a pure daily pricing engine, PriceLabs and Wheelhouse remain the most mature choices.

Integration with Octorate, Smoobu and Hostaway: not all channel managers are equal

None of these three tools works in isolation: they need a channel manager or PMS to connect to in order to read the calendar and set the rates. Here the differences between systems most common in Italy are significant. Hostaway, finally, targets larger and more structured portfolios, with prices on custom quote basis and without public rates, and is a recurring choice among property managers managing larger portfolios.

For an owner with one or two apartments, this means the choice of PMS is not neutral with respect to the choice of pricing tool: a system like Smoobu reduces integration friction, while Octorate — while remaining solid on the distribution side towards OTAs — requires an additional step.

What revenue management is really worth, in numbers

The question every property owner asks before paying a monthly subscription is simple: is it worth it? The available data, it must be said honestly, almost always comes from those selling the tools themselves or from industry analyses that aren’t always independently verifiable, so they should be read as an order of magnitude rather than a promise. The RevPAR figure, in particular, is the most comparable to the concept of ROI: any increase in revenue per available unit, not just the simple price per night, would account for the combined effect of rate and occupancy.

The scope is different — hotels, not vacation rentals — but the underlying economic logic is the same: dynamic pricing converts demand data into pricing decisions faster and more granular than a human can do manually every day across dozens of listings.

What none of these sources provide is data specific to the Genoa market: there are currently no published studies or reports that isolate the impact of revenue management on vacation rentals in the city of Genoa specifically. It’s a gap worth pointing out rather than filling with made-up estimates: those operating in the local market must rely on general industry principles, adapting them to the city’s specific seasonal patterns — more concentrated on weekends, trade fairs and city events than on a long continuous beach season.

What it means in practice for those renting in Genoa

For an owner with a single apartment, the business case for a revenue management tool must be made carefully. A monthly fee (plus any synchronization costs) makes sense only if the potential RevPAR increase far exceeds that amount on an annual basis — something almost always true for a property with more than a few weeks of occupancy, but less certain for occasional rentals with few bookings a year. The calculation changes dramatically for those managing a portfolio: on 10, 20 or 35+ properties — the typical scale of a professional property manager — costs per listing are diluted, while the advantage of pricing updated every night, comparable in real time with direct competitors, multiplies for each unit.

There’s also a second element, less discussed but equally concrete: the quality of market data available for Genoa is not the same as Rome, Milan or Florence, simply because the volume of comparable listings is smaller. This means that pricing algorithms, however sophisticated, work on a smaller comp set and require more careful human supervision compared to markets with thousands of similar listings in the same radius. It’s not a tool limitation, but a market characteristic that should be understood before blindly trusting an algorithm.

In summary, revenue management tools don’t replace knowledge of the local market — they replace it in part, adding data and automation to a process that would otherwise require hours of manual monitoring of competitor rates. For those evaluating whether to entrust the management of their property to an operator who already uses these tools at scale, the question to ask is not “which software is the best overall,” but “does whoever manages your property have the volume and data to make it work best.” Someone managing a single apartment with limited time to dedicate to daily rate monitoring might find it more efficient to rely on someone already working on a portfolio of Genoese properties with these tools integrated into their operational workflow, rather than managing a software subscription independently that still requires constant oversight.