Having different prices is not the same as doing revenue management
There is a question that rarely gets asked directly, because the answer forces a distinction most of the industry prefers to leave unspoken: of all the hotels convinced they are doing revenue management, how many actually are? The difficulty is not in gathering the data, but in defining what is being measured. Almost every accommodation business today charges different rates depending on the period. A weekend costs more than a Wednesday, August more than November, a bank holiday more than an ordinary week. Looking at a booking calendar, all of this looks like dynamic pricing: numbers changing from one day to the next. And it is precisely here that the most widespread misunderstanding in Italian hospitality hides.
Having different prices is not the same as doing revenue management. Rate variation, on its own, tells you nothing about the method that produced it. The real fault line does not run between those with fixed prices and those with variable ones — nearly everyone is on this side of it by now — but between two radically different ways of deciding that price.
Two ways of making a rate vary
The first we might call calendar pricing. At the start of the season or the year, the hotelier draws up a rate sheet: a low rate for weak periods, a mid rate for the shoulders, a high rate for the peaks, with a few adjustments for weekends and known events. It is often careful work, based on years of experience and a fine-grained knowledge of the local market. But it is a decision taken once and then frozen. From that moment on, the price of a Saturday in April stays whatever was decided in January, regardless of how that Saturday is actually filling up.
The second is demand-responsive pricing, which is dynamic pricing in the proper sense of the term. Here the rate is not a value set in advance but the outcome of a process that keeps incorporating new information as the arrival date approaches. The price of that April Saturday responds to the booking pace (so-called pickup), to the comparison against historical patterns, to competitors’ moves, to residual demand, to an event announced in town a fortnight earlier. The rate, in other words, knows something today that it did not know when it was published.
The distinction is only apparently a subtle one. A tiered seasonal rate sheet differentiates price by date, but it does not differentiate it by information: once compiled, it learns nothing more. It is static in substance even when it is conspicuously variable in form. It is no accident that the ambiguity is rooted in the industry’s own language, where you will sometimes see a simple three-tier rate sheet — base rate, weekend uplift, high-season supplement — presented as an “example of dynamic pricing”, when there is nothing dynamic about it whatsoever.
How to tell whether your pricing is genuinely dynamic
Since “dynamic” has become a label almost everyone claims, it is worth replacing self-description with a test. There are a few simple questions a hotelier can ask in order to place their property honestly on one side of the fault line or the other.
The first is perhaps the most revealing: when did I last change the rate on a date already open for bookings, in reaction to how it was filling up? If the answer is “I set it in the rate sheet and never touched it again”, then this is calendar pricing, however elaborate that rate sheet may be.
The second concerns the link between price and occupancy: does the price of a Saturday three weeks out depend on how many rooms I have already sold for that Saturday? In a genuinely dynamic system, a date running well ahead of expectations sees its rate rise, and a date running behind sees it fall or gain promotional support. If the price stays identical whether the Saturday is 30% or 90% full, the responsiveness is not there.
The third is operational: how often does the property review its rates? The difference between a manual setup and a genuinely responsive one is not theoretical. In a well-run manual operation, one or two reviews a day across dates within the next ninety is already decent cover; in a calendar-based operation, review happens once or twice a season. It is frequency, even before tooling, that separates the two worlds.
The point to take away is that dynamic pricing is not a technology but a method. You can price genuinely responsively by hand, with discipline and attention, just as you can own sophisticated software and use it as an automated rate sheet. The right question is not “what tool do you have” but “does your rate respond to information that arrives after you published it?”
Why the pattern is so widespread in Italy
That most properties stop at the seasonal rate sheet is not an Italian phenomenon in the sense of a cultural failing, but a reflection of a particular market structure. Italy has more than 32,900 active hotels, with over 1.1 million rooms and around 2.28 million bed spaces: the largest hotel capacity in Europe. It is also one of the most fragmented markets on the continent. Chain penetration, measured by number of properties, sits at around 5%, against 21% in France and 34% in Spain. The fabric remains dominated by independent, family-run properties.
That fragmentation is at once the strength and the limitation of Italian hospitality. It is a strength because it guarantees variety, identity, local roots and a direct relationship with the guest that the large platforms struggle to replicate. It is a limitation because it exposes operators to a systematic disadvantage in exactly the areas where scale and method count: distribution, cost control and, indeed, revenue management. It is a picture of properties that are often asset-rich but management-poor — full of capital, short on structured management functions.
The most honest data on technology adoption comes from the European Accommodation Barometer by Booking.com and Statista, the most solid survey available on the European accommodation sector. In its findings, the share of properties using AI-based tools — including dynamic pricing algorithms — has sat in single digits, while more than half of operators name a shortage of in-house technical skills as the main barrier to adoption, with independents struggling more than chains. Other estimates, more commercial in origin and to be treated with due caution, put roughly a quarter of hotels as having a revenue management system (RMS), and a considerably smaller share as investing in genuinely advanced technology.
A methodological caution is needed here, because transparency about data is part of taking the analysis seriously. Adopting software is not synonymous with genuine revenue management, and its absence is not synonymous with the opposite. Figures on RMS penetration are an indirect indicator, not a direct measure of how many hotels price responsively. A precise Italian measurement of the gap between “manual rate sheet” and “genuinely dynamic” simply does not exist, and anyone offering a clean percentage is in all likelihood estimating from proxies. What can be said with reasonable confidence is the direction of the phenomenon, not its exact figure: low tool penetration and the prevalence of the hand-compiled rate sheet converge to suggest that, behind the revenue management label, what often hides is pricing that is substantially static.
What leaving the rate alone costs you
The difference between the two approaches is not academic, and it translates into revenue you never earned. The mechanism is intuitive: a seasonal rate sheet, however well calibrated, is wrong in two directions. On dates that run hotter than expected it sells the last rooms below what the market would have paid, leaving money on the table; on weak dates it holds a rate that is too high and forgoes occupancy it could have recovered. In both cases the cost is invisible, because it appears on no invoice: it is the revenue that was never generated.
On orders of magnitude, the most defensible anchor comes from academic research. University studies estimate that hotels adopting even basic dynamic pricing capture an increase in RevPAR — revenue per available room, the synthesis of average rate and occupancy — in the region of 3–7% against those using static seasonal rates, with the gap widening appreciably for properties implementing fully demand-responsive logic. These are more cautious, and more credible, figures than certain double-digit promises of commercial origin, which are worth treating with scepticism. But even the conservative margin is far from negligible on an annual basis, and it explains why the chains, which have used these tools for some time, show structural RevPAR premiums over the independent market.
Starting to do it properly does not mean buying software
The practical consequence of all this is more encouraging than discouraging. If what separates the two approaches is method rather than tooling, the first step is not a purchase but a change of habit. It means ceasing to treat price as a periodic chore — something you get out of the way once a season — and starting to treat it as a continuous operational responsibility, exactly as guest service or housekeeping are. It means looking regularly at a few essential signals: the pace at which rooms are booking for future dates, the comparison against your own usual pattern, your rate position relative to your most direct competitors. Above all, it means being willing to go back in and change a price you have already published when the information changes.
Technology comes afterwards, and it comes in to do well what is laborious by hand: collecting data automatically, watching the market relentlessly, publishing changes across every channel without hours of manual work. A good RMS does not supply the method, it makes the method sustainable. But choosing one before you have internalised the method often produces the worst outcome of all: a powerful tool configured to behave like the old rate sheet — an engine running, but in neutral.
Conclusions
The question we started with — how many Italian hotels genuinely do revenue management — admits no honest numerical answer, and the most useful part of that observation is the admission itself. What can be stated is that price variation, in Italy, is now widespread; price responsiveness, far less so. Most properties have learned to differentiate rates by date; few have made them capable of responding to demand.
The boundary is neither technological nor a matter of size: it is a boundary of method, and it runs through a single question, one any hotelier can put to themselves without consultants or software. Does my rate, today, know something it did not know when it was decided? If the answer is no, then that rate is not dynamic — however many tiers the rate sheet it came from may have. And recognising that clearly, without taking refuge in the reassuring label of “we do revenue management”, is the first and cheapest act of revenue management a property can perform.
Frequently asked questions
What is hotel revenue management? Hotel revenue management is the discipline of maximising a property’s revenue through the strategic management of rates and availability, allocating the right room to the right guest, at the right moment and at the right price. It is not the same as simply raising or lowering prices, but a decision method grounded in the analysis of demand and its indicators, such as ADR, occupancy and RevPAR.
What is the difference between calendar pricing and dynamic pricing? Calendar pricing sets differentiated rates by period in advance, compiling a seasonal rate sheet that then stays unchanged. Dynamic — or demand-responsive — pricing instead updates rates continuously on the basis of new information: booking pace, residual demand, competitors’ prices, events. In the first case the price is decided once and frozen; in the second it responds to what happens after publication.
Does having different seasonal rates mean you are doing revenue management? No. Charging different prices in different periods is a necessary but not a sufficient condition. A seasonal rate sheet differentiates price by date, but if that price does not respond to how the date is actually filling up, it is static pricing in substance, however variable it may look in form.
How many hotels in Italy genuinely do dynamic pricing? There is no direct, reliable measurement of this. The available indicators concern the adoption of revenue management systems (RMS) or AI-based tools, which according to the most solid institutional surveys reach a minority of properties, with independents lagging the chains. Since adopting software does not automatically amount to responsive pricing, these figures should be read as an indirect estimate of the direction of travel, not as an exact number.
Do you necessarily need an RMS to do revenue management? No. Dynamic pricing is first and foremost a method, and it can be practised manually through frequent, disciplined rate review. An RMS does not introduce the method; it makes it sustainable at scale, by automating data collection, market monitoring and the publication of changes across sales channels.
How much can RevPAR increase with dynamic pricing? The most cautious academic estimates indicate a RevPAR increase in the region of 3–7% over static seasonal rates for basic dynamic pricing, with a wider gap for fully demand-responsive implementations. The much higher percentages circulating commercially should be treated with caution.