Every OTA relationship starts the same way: a commission percentage, a listing, and a promise of demand you weren't reaching before. A year in, most owners can tell you their headline commission rate. Far fewer can tell you what they're actually paying once promotional participation, visibility boosts, and tier upgrades are factored in — and that gap is where margin quietly disappears.
How the number moves without anyone changing it
Commission creep rarely happens through a dramatic rate hike. It happens through small, structural nudges that compound:
Tier-based commission structures
Several major OTAs use loyalty or "genius"-style tiers that increase your effective commission in exchange for better placement. Enrollment is often opt-in at first — and then defaults to "stay enrolled" at renewal unless someone actively opts out. A property that joined a promotional tier eighteen months ago for a short campaign can still be paying that higher rate today.
Auto-enrolled promotions
Flash sales, mobile-rate discounts, and seasonal campaigns are frequently opt-out rather than opt-in once a property has participated once. Each one shaves a few percentage points off realized rate on top of the base commission — invisible in the booking count, very visible in the payout.
Currency and payment processing fees
For OTAs that collect payment on the property's behalf (merchant-of-record models), currency conversion spreads and payment processing fees sit on top of the stated commission. These rarely appear as a single clean line item — they're baked into the net payout, which makes them easy to miss without deliberately reconciling gross booking value against what actually lands in the account.
Ranking-linked rate matching
Some platforms reward properties that keep their lowest available rate on that channel with better search placement — which can quietly pull a property into a race to the bottom on one channel while other channels hold steady, shifting the overall channel mix toward the more expensive option without anyone deciding that on purpose.
The channel that looks like your best performer by booking volume is sometimes your worst performer by what actually reaches the bank account. Volume and cost-of-sale are different questions, and most monthly reports only answer the first one.
Reading true cost-of-sale, not just booking volume
The fix isn't complicated, but it does require pulling a number most monthly reports skip: net revenue per channel, after every commission, promotion, and fee — not gross booking value. Divide that net figure by room-nights sold on that channel to get a true net ADR per channel. Compare that against your direct-booking net ADR. The channels with the widest gap are the ones costing the most to fill a room.
This is a different exercise from simply looking at which channel books the most rooms. A channel can be your top performer by volume and still be quietly the most expensive way to fill that same room.
A quarterly channel-mix review you can run yourself
- Pull net payouts by channel for the quarter — not gross bookings, the actual amount that landed after every deduction.
- Calculate net ADR per channel by dividing net payout by room-nights sold on that channel.
- Check current promotional enrollment on each OTA extranet — most have a settings page listing active campaigns and tier participation. Note anything you don't remember actively choosing.
- Compare against last quarter. A channel whose net ADR has dropped without a corresponding drop in your listed rate is a sign something — a promotion, a tier change, a fee structure update — shifted underneath you.
- Decide deliberately whether to stay enrolled in anything flagged in step 3, rather than letting it continue by default.
The bigger point
None of this means any individual OTA is acting in bad faith — tiered and promotional commission structures are simply how these platforms are built to work, and they can genuinely drive incremental demand when used deliberately. The issue is default enrollment, not the existence of the programs. A channel mix reviewed and chosen on purpose, every quarter, tends to look very different from one that's simply been left running since onboarding.