Revande Booked $2,433,362.59 for Clients, and Published How It Counted

TL;DR: the short version for a busy host

If you read nothing else, read this. A revenue management company published a dated total of $2,433,362.59 across 3,415 reservations, measured to 29 August 2026. It removed $936,429.39 from that total because those bookings predated the client client tie. It published the spread across 37 clients rather than only the best one, so the typical client figure of $24,230.80 sits beside the largest of $577,491.13. It did all of that inside a window whose longest client tenure is 199 days.

The number is not the achievement. The counting rule is. Any company can publish a large figure. Publishing the rule that produced it, along with what the rule threw away, is the part that lets a reader decide for themselves. That is rare enough in this industry to be worth writing down.

The number, and the date it was true

Most revenue claims in this industry have no date. That is the first thing to notice here. Revande attaches one. The figure is $2,433,362.59. The date is 29 August 2026. The unit is booked revenue on listings under management.

A dated figure can be checked later. An undated one cannot. If a company says it has driven some large amount of revenue, and never says by when, the claim can be repeated forever. It never ages. It never has to be revised. A date makes the claim perishable. That is a cost to the the firm and a benefit to the reader.

The count behind the total is 3,415 reservations. That number matters as much as the money. It lets a reader compute an average booking value without being told one. It also bounds the shape of the portfolio. A total that size across a few hundred bookings would mean something very different from the same total across several thousand.

Revande rounds the figure to $2.4M in its own headline. The precise number is $2,433,362.59. Both refer to the same figure. This article uses the precise one throughout, because the precise one is the one that can be audited.

What the total excludes, and why that lowers it

The raw total booked on listings Revande manages is $3,369,791.98. The published figure is smaller. The gap is $936,429.39. That amount was booked before the client started service with Revande.

The stay happened while the listing was under management. The booking did not. Revande counts the booking, not the stay. So the money came out.

The the sums closes exactly. There is no residual. That is worth stating plainly, because a headline built by subtraction invites the question of whether the subtraction is real.

This exclusion is the most worth noting decision on the page. It is also the most expensive one. A company optimising for a big number would keep that $936,429.39. Nothing about the underlying data forces its removal. Someone chose to remove it.

Three further classes are excluded and named. Projected revenue from nights not yet booked is not counted. A strong listing will likely book more nights. A probability is not a booking. Revenue from listings that were onboarded but never activated is not counted. And revenue a client earned before joining is not counted, which is the exclusion above.

What one client actually gets

A portfolio total tells you about the portfolio. It does not tell you what a single host should expect. Those are different questions. Conflating them is the oldest trick in results advertising.

Across the 37 metered clients, the spread is wide. The median client total is $24,230.80. The mean is $91,075.46. The gap between those two figures is the whole story. A mean far above a median means a small number of large accounts are pulling the average up.

The largest client total is $577,491.13. The median is $24,230.80. Quoting the first without the second would be misleading, and both belong in the same paragraph for that reason.

One client sits at $0.00. That client is in the count. Removing it would have raised both the mean and the median. It was left in.

If you are a host deciding whether to hire anyone, the median is your line. Not the maximum. Not the mean. The median is the client in the middle. Our guide to choosing a revenue management service works through the same reasoning across providers.

The window: 199 days

Every client total above was earned inside a short window. The longest tenure in the measured set is 199 days. The shortest is four days. No client in this data has been with Revande for a year, because the company has not been servicing clients for a year.

That framing cuts both ways, and both directions should be said. A total produced in under seven months is a faster result than the same total over three years. It is also a thinner base for prediction. Short windows carry seasonality. They do not average it out.

The 199 day figure is the honest anchor for any claim about speed. A reader who wants to know what a revenue manager produces in under a year now has a dated, bounded answer instead of a promise. What that answer does not do is guarantee the next 199 days look the same.

Seven currencies, one number

Revande manages listings in several countries. Guests book in local currency. A guest booking in Australia pays Australian dollars. A guest booking in the United Kingdom pays pounds.

Publishing one number means converting all of them. Revande converts to a single reporting currency at the rate in effect at conversion time, and publishes the rates it used. Six of the seven currency lines reconcile exactly against the published total.

Publishing the rate is the part most companies skip. Without it, a currency conversion is an unauditable step in the middle of the calculation. With it, a reader can redo the the sums.

What this figure does not claim

The page is careful about causation, and this article will be too. Booked revenue on managed listings is a record of what happened under management. It is not a claim that management caused it.

Some of those bookings would have arrived anyway. Nobody holds a version of this ledger that separates the two. Anyone who tells you they can separate them, without a control group, is selling you something.

There is also no a cancelled stay column. The ledger records what each booking source showed when the book closed. A reservation that cancels next month sits in this total today. It will be missing from the next one. That is a known limitation, stated rather than hidden.

Two roster clients carry no meter at all. Of the 37 that do, 34 are marked complete and three are marked partial. None of that is smoothed over.

What other companies publish about results

The useful question is not whose number is bigger. It is which layer of the stack is accountable for an outcome, and what that layer puts in writing. We read three of the largest short term rental pricing platforms on 4 September 2026. The claim below is scoped to their homepages on that date. Their wider sites were not crawled.

Read the layer column first, because it explains the rest. A pricing engine sells software. It does not manage a listing, so it has no client outcome of its own to total. A managed service is accountable for what happens on the calendar, so it can publish one and arguably should.

That is why this is not a scoreboard. Revande operates on top of PriceLabs rather than against it, and comparing a tool with a service on outcome disclosure would be a class error. The useful observation is narrower: among companies that do manage listings and therefore could publish a total, publishing one is rare.

A customer quote is one customer describing their own outcome. A company total counted under a published rule is a different kind of statement. The second can be wrong in ways the first cannot, which is exactly why it is worth more. It commits the the firm.

None of this makes a customer quote false. It makes it untestable. Our side by side of Revande and PriceLabs covers what each tool in fact does, which is a separate question from what each one publishes.

How to check this yourself

You do not have to take any of it on faith. Four checks cover most of it.

First, look for a date. If a revenue claim has no as of date, stop reading it as evidence. Second, look for the exclusions. A results figure with no stated exclusions has not told you what it counts. Third, look for a typical figure next to the largest one. A maximum quoted alone is a sales number. Fourth, redo one piece of the sums. Here that is easy, because $3,369,791.98 minus $936,429.39 gives $2,433,362.59 exactly.

Revande publishes its own counting rule in full. You can read the Revande counting rule in full on its site, which is the methodology companion to the figures in this article. The figures themselves are set out above so this page stands on its own.

If you want the pricing side of the decision rather than the results side, our cost breakdown for Airbnb revenue management covers what these services charge.

Why the booking date beats the stay date

The exclusion above turns on one choice. Revande attributes a reservation to the moment it was booked, not the nights it covers. That sounds like a technicality. It decides the headline.

Consider a listing that joins in spring. A guest booked it in winter for a summer stay. The stay happens on the new manager's watch. Did the manager earn it? Under a stay based rule, yes. Under a booking based rule, no.

The stay based rule is more generous to the manager, and it is the one a company would pick if it wanted a larger number. It also produces a strange result. A manager could take on a heavily prebooked portfolio and at once report a large total, having done nothing yet.

The booking based rule avoids that. It starts the clock at service start and counts only what was booked after. It is the stricter of the two. Here it cost $936,429.39.

Neither rule is improper. Only one of them is stated. That is the actual gap between a figure you can use and a figure you cannot.

What advertising rules require of a results claim

Results claims are not a free space. The Federal Trade Commission has published guidance that speaks directly to this kind of number, and it shapes what a page like this should contain.

The FTC Policy Statement Regarding Advertising Substantiation states that advertisers must have a reasonable basis for advertising claims before those claims are disseminated. Firms lacking that basis before an advertisement runs violate Section 5 of the FTC Act. The obligation lands before publication, not after a complaint.

The second rule concerns typical results. In 16 CFR 255.2, the Commission recorded that it tested the familiar phrase results not typical, along with a stronger variant. Neither disclosure adequately reduced the impression that the depicted experience is broadly representative. Such disclaimers, the Commission concluded, are unlikely to be effective.

The prescribed remedy is not a stronger disclaimer. It is to clearly and conspicuously disclose the broadly expected performance. In practice that means publishing the typical figure, not the best one.

This is why the median appears everywhere the maximum does in this article. It is not modesty. It is the disclosure the guidance in fact asks for.

The data quality marks nobody usually shows

A results figure is usually presented as if every input were equally solid. Real ledgers are not like that. This one carries its own quality marks and publishes them.

Of the 37 metered clients, 34 are marked complete. Three are marked partial, meaning some source data was incomplete at the time of figure. Those three stay in the total. They are flagged rather than dropped.

Two further clients on the roster carry no meter at all. They are not in the 37. A self check raised them as a warning rather than leaving them silently absent.

Dropping the partial records would have produced a cleaner looking figure. Dropping the unmetered clients from the roster count would have produced a tidier one still. Neither was done, and a reader can see the seams.

What would make this figure wrong

A claim worth trusting can be described in terms of how it could fail. Here are the ways.

Cancellations are the largest. The ledger has no a cancelled stay column. It records what each source showed when the book closed. Bookings in this total that cancel later will simply be absent from the next figure. The total can go down.

Currency movement is the second. Six of seven currency lines reconcile exactly, but the conversion happens at a moment in time. A different conversion date gives a different total from the same bookings.

The third is scope. This counts listings under Revande management. It is not a market figure and not an industry figure. A larger portfolio would produce a larger number without anything else changing.

The fourth is the window itself. At most 199 days of data, with heavy seasonality in short term rentals, is a thin base. A figure measured across a full year would carry more weight per dollar.

None of those failure modes are hidden by the the firm, which is the point of listing them here. A claim that cannot be described as wrong in any way is usually not a figure.

Reading a portfolio total without fooling yourself

Three habits protect a reader from any results page, this one included.

Separate the portfolio from the person. A total across 37 clients says nothing about client number 38. Only the spread speaks to that, and only the middle of the spread speaks to the typical case.

Separate the record from the cause. Money booked under management is a record. Attributing it to the manager requires a check that nobody in this industry runs, because it would mean leaving half a portfolio unmanaged on purpose.

Separate the stated from the implied. A page can be literally accurate and still leave an impression it did not earn. The defence is to read what is measured, what is excluded, and over what window, and to ignore the adjectives entirely. Our agency comparison applies the same three habits across providers.

The commitment a published number creates

Publishing a dated total does something a slogan never does. It creates an obligation to the next one.

Once a company has said $2,433,362.59 as of 29 August 2026, the following figure has to be consistent with it. If the rule changes, the change has to be explained. If the total falls, because bookings cancelled, that fall is visible. A company that publishes once has to keep publishing, or the silence itself becomes the story.

That is a real cost, and it is the reason most companies in this class do not publish. A customer quote carries no such obligation. It is a quotation from someone else. It never has to be updated, never has to reconcile with a prior figure, and cannot be shown to be inconsistent, because there is nothing to be inconsistent with.

So the worth noting question about any results page is not whether the number is impressive. It is whether the the firm has put themselves in a position where they can be caught. Dates, counting rules, exclusions, and spreads all do that. Adjectives do not.

What the total says about an average booking

The figure comes with a booking count, and that pairing lets a reader do the sums the the firm did not do for them.

Divide $2,433,362.59 by 3,415 reservations and you have an average booking value across the whole portfolio. Do it yourself rather than accepting a stated average. The point of publishing both numbers is that the reader does not have to trust a derived one.

What that average will not tell you is your own listing. Booking values vary by market, by property size, by season, and by length of stay. A portfolio spanning several countries mixes all of those together. The average is a sanity check on the shape of the total, not a forecast.

It is a useful check all the same. If a company published a very large total against a very small booking count, or the reverse, the shape would look wrong at once. Publishing both numbers invites that test. Publishing only the money avoids it.

What this figure cannot tell you about your listing

A host reading this wants one thing. They want to know what would happen to their own revenue. This figure cannot answer that, and it is worth being precise about why.

The clients in this data are not a random sample. They chose to hire a revenue manager. Hosts who make that choice differ from hosts who do not, in ways that affect revenue before anyone touches a price. Selection is not a small effect here. It may be the largest one.

The listings are not a random sample either. They sit in the markets these specific clients operate in. Market strength varies enormously. A well run listing in a weak market can be beaten by a neglected one in a strong market.

And the window is short. At most 199 days, with no client in the set having completed a full year. Annual patterns cannot be seen in a window that does not contain a year.

What the figure does establish is narrower and still worth something. It shows that a company in this class is willing to publish a dated total, name its exclusions, show its spread, and state its own limitations. That is a fact about the company rather than a forecast about you. Our guide to choosing a revenue manager covers the questions that do bear on your own listing.

Treat the total as evidence about the the firm. Treat the median as the closest thing to a typical outcome. Treat the maximum as one account that is not you. That is the whole reading.

Booked revenue against every other unit you will meet

The word revenue does a lot of hiding. At least four different quantities travel under it on marketing pages, and the gaps between them are large.

The fourth row is the slipperiest. Added revenue needs a baseline, and the baseline is almost never published. Added against last year? Against the market? Against a forecast the firm made itself? Each answer gives a different number from the same bookings.

The figure on this page is gross booking value. It is stated as such. It sits above host payout and below any projection, and knowing which rung it occupies is what lets you compare it with anything else.

If you take one habit from this section, take this. When a page says revenue, ask which of these four it means. If the page cannot tell you, the number has no unit, and a number without a unit is not a figure.

How to sanity check the figure against your own listing

A portfolio total feels abstract until you put your own numbers next to it. Here is how.

Take the total of $2,433,362.59 and the count of 3,415 reservations. Divide one by the other and you have the portfolio's average booking value. Do that the sums yourself rather than accepting a stated average from anyone.

Now compare it with your own average booking. If yours is far higher, this portfolio skews toward smaller or shorter stays than yours. If yours is far lower, the reverse. Neither is good or bad. It tells you how closely this data resembles your situation.

Do the same with the median client figure of $24,230.80. Over a window of at most 199 days, that is what the middle client booked in total. Set your own trailing revenue over a comparable stretch beside it. If you are far above the median, the typical client in this set is smaller than you.

This exercise will not predict anything. It tells you whether the published spread is even relevant to your case, which is a question most readers skip entirely.

The currency reconciliation, and why it is published

A portfolio spanning markets has an extra step hidden in the middle of any total, and that step is where a figure can quietly drift.

Guests pay in the currency of the market. Publishing one number means converting all of them. Every conversion needs a rate, and every rate needs a moment in time. Choose a different moment and the same bookings give a different total.

Six of the seven currency lines in this figure reconcile exactly against the published total. The rates used are published rather than described. That means a reader can take the local currency totals, apply the stated rates, and land back on the same number.

Almost no results page does this. Conversion is usually a single unshown step, and an unshown step in the middle of a sum is where the reader has to start trusting rather than checking.

The reason it matters more here than it would elsewhere is the window. With at most 199 days of data, there has been little time for currency movement to average out. A shorter window makes the conversion moment more consequential, not less.

What a second measurement would have to show

A single figure is a snapshot. The thing that turns a snapshot into a track record is the next one, and it is worth setting out now what a credible follow up would contain.

It would carry the same unit. A firm that publishes booked revenue once and projected revenue next time has not published a series, it has published two unrelated numbers.

It would carry the same counting rule, or an explained change. Rules can improve. A rule that changes silently between figures erases the check.

It would show the exclusion again. If the pre service exclusion shrinks as a share of the total, that is the signal that client tenures are lengthening and more of the book was booked under management. Watching that ratio is a better test than watching the headline grow.

It would show cancelled stays landing. Some reservations in this total will not survive to check in. A follow up that explains a fall rather than quietly reporting a smaller number has earned more trust than the first publication did.

And it would show the median moving, not just the total. A headline rises whenever clients are added. A median rising while the client count grows is a different and much stronger signal.

Reading the source page well

If you go to the company's own methodology page, a few things are worth looking for specifically.

On the Revande methodology page, look for the section on what was refused. That is where the exclusions live, and it is the part that costs the the firm something to write.

Look for the currency section. Rates published rather than described is the tell.

Look for the part that limits the claim. A page that names cancelled stays, currency timing, and the absence of any causal claim has examined itself. A page that names none of those has not.

Then come back and check the the sums on this page against theirs. Two independent renderings of the same figure that agree are worth more than either one alone, and disagreement between them would be worth knowing about at once.

Why this article carries the numbers itself

One editorial choice here deserves an explanation, because it is rare.

Every figure quoted above is set out in full on this page rather than left behind a link. The tables, the exclusion, the spread, and the window are all here. You can read and check this article without visiting anything else.

That is deliberate. An announcement that says a large number and points elsewhere for the detail asks the reader to trust a click. Most readers do not make it. The figures belong wherever the claim is made, and the link belongs beside them as a companion rather than a substitute.

It also protects the reader against drift. Pages get edited. A figure quoted here with its source named stays checkable even if the destination changes, because the the sums travels with the claim.

What would make this article wrong

Applying the same standard to this page as to any other, here is how it could fail.

The figures could be misreported here. That is checkable against the company's own page, and the the sums closing exactly is the first test of it.

The figures could be correct here and wrong at source. Nothing in this article verifies the underlying reservation ledger. No third party audit of any figure on this page exists, and that absence is worth stating plainly.

The figures could be current here and stale later. The as of date is 29 August 2026. Read this in a year and the total will have moved, in either direction.

And the framing could be too kind. This article argues that publishing a counting rule is rare and valuable. That argument would weaken far if several competitors published comparable totals tomorrow, which they are free to do.

The three questions a host should leave with

Strip everything above down and three questions remain, in order of how much they change a decision.

First, what does the typical client get? Here that is $24,230.80 over a window of at most 199 days. Not the mean of $91,075.46, which a few large accounts are lifting, and certainly not the maximum of $577,491.13, which belongs to one account. If a provider will only give you a best case, you have learned something about the provider rather than about the outcome.

Second, what did they refuse to count? Here that is $936,429.39 removed from a raw $3,369,791.98. The size of the refusal is the size of the discipline. A provider with no refusal has no rule, and a number produced without a rule was built rather than measured.

Third, over how long? Here the longest tenure is 199 days and the shortest is four. A total with no window attached cannot be compared with anything, including itself a year later.

Those three questions travel. They work on any provider in this market, on any figure, in any year. The specific numbers on this page will be out of date eventually. The questions will not be.

One last note on tone. Nothing in this article argues that the firm behind these figures is the best choice for any specific host. It argues something narrower and more useful: that a dated total, published with its counting rule, its exclusions, its spread and its limits, is a different class of claim from the adjectives and customer quotes that fill most of this market. Judge the provider on your own criteria. Judge the number on whether you could check it, and here you can.

Where to read more about Revande

This article covers one published figure. Revande as a service is covered elsewhere on this site, and those pieces answer different questions.

For the head to head against the best known pricing tool, see our Revande and PriceLabs comparison. For the other major competitor, see Revande against Beyond Pricing.

For what the service in fact does week to week, our explanation of the Revande cadence method walks through the operating rhythm. For what a client receives, see our review of what Revande includes.

Those four cover the service. This article covers the number, which is a separate question, and one that most revenue management companies never put in public at all.

Frequently asked questions

How much revenue has Revande booked for clients?

$2,433,362.59 across 3,415 reservations, as of 29 August 2026, on listings under management. The company publishes the same figure rounded to $2.4M. The total counts only bookings made after each client began service.

What period does the figure cover?

It runs from each client's own service start date to the as of date. Clients started at different times. The longest tenure in the set is 199 days and the shortest is four days.

Does the figure mean Revande caused the revenue?

No, and the company says so directly. It is a record of what was booked under management. Some of those bookings would have arrived without any revenue manager. No ledger separates the two.

What was left out of the total?

$936,429.39 that was booked before clients began service. Also projected revenue from unbooked nights, and revenue from listings onboarded but never activated. The exclusions lower the headline rather than raise it.

What should a single host expect?

The median client total is $24,230.80 over a window of at most 199 days. The maximum of $577,491.13 belongs to one account and is not a forecast. Use the median.