Why Your OTA Commission Is Partly a Marketing Bill
Cornell's billboard-effect study found that listing on an OTA raised direct bookings — 26% at the one independent hotel tested. Where the evidence stops.
Part of what you pay an OTA buys distribution, and part of it buys advertising you would otherwise have to pay for separately. Cornell researcher Chris Anderson tested this directly by switching hotel listings on and off in alternate weeks — and found that non-OTA reservations rose while the listing was live, by 26% at the one independent property in the study. That does not make commission cheap. It means the honest question is what mix and what price, not whether to list.
The complaint this is answering
"We are just feeding the machine." Every independent operator says some version of it, and the arithmetic behind the complaint is sound — a companion post works through what OTA commission actually costs you line by line, and the answer is around 20% of the rate once processing and cancellations are counted.
Nothing here contradicts that. The commission is expensive and the gap versus direct is real.
What follows is the other half of the ledger. Some of the bookings you count as direct arrived because a traveler found you on an OTA first, then went to your own site. If you cancel the listing, you lose those too — and the cost of the channel has to be judged against what actually disappears when you switch it off.
What Anderson actually did
Most billboard-effect claims trace to marketing decks. Anderson's does not. He ran an experiment.
Four hotels alternated: listed on Expedia one week, delisted the next, over an extended period. Then he measured reservations that came in through every channel except the OTA — the hotel's own website, its phone line, and other non-OTA sources. If the listing were purely a distribution channel, delisting should have left those numbers alone.
It did not. Non-OTA reservations were higher during the listed weeks:
| Property | Lift in non-OTA reservations while listed |
|---|---|
| Branded hotel A | +7.5% |
| Branded hotel B | +9.1% |
| Branded hotel C | +14.1% |
| Independent hotel | +26% |
The rate effect was almost nothing — ADR moved between +0.3% and +3.9%. Travellers were not paying more. There were simply more of them finding the hotel.
Anderson's own conclusion was the one that matters: a portion of OTA commission functions as a marketing expense, not purely a booking fee.
Why the independent number is the biggest
The pattern in that table is not random, and it is the reason this study is worth a small independent's attention.
A branded hotel arrives with demand already generated. Somebody has bought television, paid for brand search, and built a loyalty programme with tens of millions of members. Being visible on an OTA adds to a pile of visibility the property already had.
An independent has none of that. Your name means nothing to a traveler two states away. For a 40-room property with no brand budget, an OTA listing may be the only place that traveler encounters you at all — so switching it off removes a larger share of your total visibility.
That is why the one independent in the sample showed roughly double the branded lift. It is also why "just quit Booking.com" is a riskier move for you than for a Hilton franchisee.
Putting a dollar value on the credit
Take the same 40-room hotel from the companion post: 840 room nights sold in a month, 63% booked through OTAs, and an OTA booking costing $23.40 more than the same booking taken direct. That is a premium of about $12,379 a month for using the channel.
Now apply the billboard lift to the 311 direct room nights. If listing raised direct bookings by X%, then without the listing the direct number would have been 311 divided by (1 + X). The difference is the credit — at $166.50 net per direct booking.
| Billboard lift applied | Direct rooms attributable to the listing | Value at $166.50 net | Share of the $12,379 OTA premium offset |
|---|---|---|---|
| +7.5% (branded low) | 21.7 | $3,613 | 29% |
| +9.1% | 25.9 | $4,319 | 35% |
| +14.1% (branded high) | 38.4 | $6,398 | 52% |
| +26% (the independent) | 64.2 | $10,684 | 86% |
Read that carefully, because it cuts both ways. Even at the independent hotel's 26%, the credit does not cover the premium — commission is still a net cost. But at that level the effective cost of the channel falls by more than four-fifths, and a decision that looked obvious at $12,379 looks very different at $1,695.
This is a worked example built on published lift percentages, not a measurement of your hotel. Substitute your own room nights, mix and cost gap.
Where the evidence stops
Be sceptical of anyone who quotes the 26% as a fact about your property. Four things limit it.
Sample size. Four hotels, and the headline independent figure comes from exactly one property. That is a case, not a population.
Age. The fieldwork is from 2009. Since then Google has taken over hotel search, metasearch has matured, Booking Holdings and Expedia have consolidated to roughly 96% of US OTA business (AH&LA/STR/Kalibri Labs), and traveler behavior has moved to mobile. The mechanism plausibly survives all that. The magnitude may not.
Causation. The alternating design is much stronger than a correlation study, but it still cannot fully separate the listing from seasonality, competitor activity and everything else moving in those weeks. Treat the direction as well-supported and the exact percentage as indicative.
Attribution has improved. In 2009, "non-OTA reservation" was a reasonable proxy for a booking the OTA influenced. Today your own analytics can show you referral paths directly, which is a better source than a 2009 average.
How to test it on your own property
You do not have to take the study on faith, and you should not switch a listing off for a month to find out — that experiment costs real money.
Cheaper checks, in order of effort:
- Look at referral traffic to your booking engine. Sessions arriving from an OTA domain are billboard effect you can already see.
- Ask at check-in. "How did you first hear about us?" costs nothing and catches the traveler who browsed an OTA then phoned you.
- Watch direct volume when you change OTA visibility. If you turn a visibility booster on or off, note what happens to direct bookings in the following fortnight, not just OTA ones.
- Compare seasons. Your billboard effect should be largest when out-of-area travelers dominate and smallest when repeat local business does.
None of this is rigorous. All of it beats guessing.
The mistakes this argument invites
Using the billboard effect to justify never negotiating. The credit is a reason to stay listed, not a reason to accept every commission increase or visibility programme.
Assuming your lift is 26%. That was one independent hotel in 2009. Yours may be a fifth of it.
Double-counting. If you already spend on brand search ads that capture travelers who found you on an OTA, some of that credit is being paid for twice.
Treating listing as binary. Rate mix, room types released, and length-of-stay controls all change the cost of the channel without removing the visibility. That is the real lever.
Ignoring what the study did not find. ADR barely moved. Being listed brings volume, not pricing power. Do not build a rate strategy on it.
The bottom line
Anderson's experiment gives you a defensible reason to stop treating commission as pure waste — the listing is generating bookings that never touch the OTA, and the effect was largest for the independent property with no brand behind it. But the credit offsets part of the premium, never all of it, and the data is from 2009 across four hotels.
So the decision is not list or delist. It is which room types you release, at what rate, with what cancellation terms, and how much of your inventory you are prepared to buy visibility for this month. That is a mix decision you make every week, and it is where the money is.
Seeing where you actually sit against the properties you compete with is the input that makes that decision less of a guess. Our competitor analysis view puts your rate next to each comp-set hotel's best available rate day by day, with sold-out flags and the age of every scrape stamped on the table.