What booth price per square foot actually tells you about a show

Portfolio review, second slide, booth price per square foot by show. Show A is running at 30 dollars a square foot and Show B at 22, and somebody senior asks the obvious question, which is why Show B is priced so far under its sister event and what the sales director intends to do about it.

The answer, most of the time, is that the two numbers are not measuring the same thing and neither one is measuring what the question assumed. Price per square foot is a ratio, and a ratio only means something once you have pinned down both halves of it.

Which denominator should booth price per square foot use?

There are two defensible ways to compute price per square foot and they answer different questions.

The first is total space revenue over net square feet sold. That is a price: it says what an exhibitor paid, on average, for a foot of floor. Use it to talk about the rate card, renewals and discounting.

The second is total space revenue over gross hall area. That is a yield: it says what the building earned per foot you rented from the venue. Use it to talk about the plan, the aisles and the feature areas.

Take a show selling 120,000 net square feet at an average of 30 dollars. Space revenue is 3,600,000. If that show occupies a hall with 260,000 gross square feet, the yield is 3,600,000 over 260,000, or 13.85 dollars per gross foot. The same show is simultaneously a 30 dollar show and a 13.85 dollar show, and the ratio between the two figures, 120,000 over 260,000 or 46.2 per cent, is the share of the building you could actually sell.

Show A at 30 and Show B at 22 might be in halls where those shares are 46 per cent and 62 per cent, in which case Show B earns 13.64 per gross foot against Show A's 13.85 and the gap you were asked to explain is roughly a rounding error. The gross to net question has its own post and deserves it. What matters here is that quoting the net figure alone invites a comparison that the net figure cannot support.

Why does the blended rate move when nothing changed?

The second thing the number hides is more dangerous, because it moves year to year on a floor where nothing about your pricing changed.

Split that 120,000 square feet into two kinds of stock. Say 72,000 square feet of inline space, mostly 10 by 10 and 10 by 20 units, sold at an average of 33.50. And 48,000 square feet of island space sold at an average of 24.75, because your ladder tapers and your large accounts negotiate. Check the arithmetic: 72,000 times 33.50 is 2,412,000, and 48,000 times 24.75 is 1,188,000. Together, 3,600,000 over 120,000 square feet, or exactly 30.00.

Now run the next edition. You raise inline to 34.50, a rise of 2.99 per cent. You raise island to 25.50, a rise of 3.03 per cent. Demand shifts a little: inline falls to 64,000 square feet and island grows to 56,000. Total space is unchanged at 120,000.

Inline revenue is 64,000 times 34.50, or 2,208,000. Island revenue is 56,000 times 25.50, or 1,428,000. Total 3,636,000, over the same 120,000 square feet, is 30.30.

You raised every published rate by about 3 per cent and your headline price per square foot went up 1 per cent. Nobody did anything wrong. Eight thousand square feet moved from the expensive kind of stock to the cheap kind, and the blended figure reported the mix shift as a pricing failure.

This runs in both directions, which is what makes it treacherous. A show that loses two large island accounts and backfills the space with 10 by 10 units will post a rise in price per square foot in the same year its space revenue falls, and somebody will write that pricing discipline improved.

Decomposing the change so the number becomes useful

The fix is to stop reporting one number and start reporting the decomposition, which takes about twenty minutes once the contract file has a stock-type column on it.

Split the change in blended rate into a rate effect and a mix effect. Hold the mix at last edition's shares and apply this edition's rates: 72,000 at 34.50 plus 48,000 at 25.50 is 2,484,000 plus 1,224,000, or 3,708,000, which is 30.90 per square foot. That 0.90 rise over 30.00 is the rate effect, and it is the number that reflects what you actually did to prices. The remaining move, from 30.90 down to the observed 30.30, is the mix effect, worth minus 0.60.

Two numbers, both meaningful, replacing one number that was neither. Report them side by side and the portfolio review stops arguing about a blended figure that no exhibitor ever paid. The split is cheap enough to run every edition, and it belongs in the same pack as the rest of your exhibitor analytics.

The same decomposition works with more than two categories. Zone, hall, size band and exhibitor category are all reasonable ways to cut the stock, and the right cut is whichever one your rate card actually prices differently, because those are the splits where a mix shift changes the blended figure.

What the published industry figure is doing right now

The industry-level version of this ratio is worth watching, because it moves for the same reasons and on a larger sample.

The CEIR Q2 2025 Index Report put net square feet 4.9 per cent below Q2 2019 and real revenues 15.6 per cent below, with attendees at minus 3.7 per cent, exhibitors at minus 8.8 per cent, and the total index 8.4 per cent below Q2 2019. Divide the revenue index by the space index and you get real revenue per net square foot: 0.844 over 0.951 is 0.887, which puts real revenue per foot about 11.3 per cent below its 2019 level.

That is a different statement from either component. Space sold has very nearly recovered. What a foot of that space earns, in inflation-adjusted terms, has not, and the gap between the exhibitor count at minus 8.8 per cent and the space figure at minus 4.9 per cent says the remaining exhibitors are holding slightly more space each than they did in 2019, which is its own signal and belongs with the average booth size question.

The 2026 CEIR Index Report, published in May 2026, forecasts the total index growing 2.1 per cent in 2026. Set your own rate ambitions against that rather than against last year's board target.

The three figures to publish together

If a slide has room for one number it should have room for three, because the single number is only interpretable once the other two are on the page.

• Blended paid rate per net square foot sold. The price. Space revenue only, before services and sponsorship, or the comparison across editions breaks the moment you bundle something new.
• Net square feet sold over gross hall area. The share of the building that was sellable and sold, which is what makes the first number comparable to a different venue.
• The share of net square feet in each stock type. Two or three categories is enough. This is what lets a reader see a mix shift instead of misreading it as a pricing move.

Define the numerator precisely once and write the definition into the report template, because the most common way this metric breaks year to year is that somebody folded sponsorship into space revenue for one edition and nobody wrote it down. The same definition governs revenue per net square foot once you start tracking it as a series across editions.

Where this stops

Price per square foot is silent on the two things a commercial director most wants to know, and no amount of decomposition fixes that.

It says nothing about exhibitor count. A floor of 120,000 square feet held by 400 exhibitors and the same floor held by 700 exhibitors produce identical ratios and completely different businesses, because the second one has a broader base, more renewal conversations and more small accounts that might grow. CEIR tracks exhibiting companies as a separate index component for exactly this reason.

It also says nothing about what the space cost you. A show in an expensive city with high venue rent can post a strong rate per square foot and a weak margin, and comparing that rate to a regional show in a cheap hall tells you about the two cities more than about the two teams.

The honest use of the figure is diagnostic and internal: track it across editions of the same show, decomposed into rate and mix, and treat any cross-show comparison as a question rather than a finding. Ranking shows against each other needs a construction this ratio cannot give you.

Pull last edition's contract file, add one column classifying each booth as inline or island, and compute the blended rate twice, once with this edition's mix and once with the prior edition's. The difference between those two numbers is the mix effect, and if it is larger than the rate change you announced, your headline figure has been reporting inventory shifts as pricing decisions.