Rules for Optimal Performance
by Richie Khandelwal
On the evening of December 5, 2025, FIFA announced the 2026 World Cup match schedule. Somewhere in Kansas City that night, a short-term rental host saw Argentina assigned to Arrowhead Stadium on June 16 and quietly tripled their rates for that week. Most of their competitors did not. Six months later, the booking data shows what that decision was worth.
We followed the booking curves for 3 FIFA host markets: Kansas City, Miami, and Los Angeles, from a year out to match day, against the same dates a year earlier (STLY). Three cities, three very different stories, and between them, most of what a host/operator needs to know about pricing around demand.
Kansas City // The Reward for Moving on Announcement Day
Ordinary dates book along a smooth curve that steepens toward check-in. Event dates jump at milestones, and the first milestone is the schedule.
In Kansas City’s data, the break from the prior-year baseline is visible almost to the day of the December 5 announcement, roughly 190 days before the match. From that point, occupancy ran ahead of normal pace, finishing at 64% against 54% (Chart 1). The ADR (Average Daily Rate) told a starker story: rates stepped up the moment the fixture was announced and kept climbing to kickoff, roughly $400 a night against $100 a year earlier (Chart 2). RevPAR (Revenue per available room) ended near $255 vs $55, a nearly five-fold premium in a small market with tight supply.
Group-stage matches are the simple case: teams are known from day one, so demand flows the day the schedule drops. Hosts who priced high that week captured it and hosts who waited sold their best nights at ordinary rates.
Miami // The Waiting Game
Miami’s Hard Rock Stadium hosted the knockout rounds, and demand for knockouts behaves differently. For months, nobody knows who is playing, and traveling fans wait for their team to qualify before booking anything.
Miami’s curve for the July 3 Round of 32 date tracked only modestly ahead of baseline for most of the year, then accelerated hard through the final month — steepest of all in the last three to four days, once the qualifying teams were declared. Occupancy finished at 78% against 60%, with ADR (Average Daily Rate) around $258 versus $168.
The discipline here is nerve. A knockout date sitting half-empty three weeks out is not a failure; it is the shape of the demand. Discounting into that quiet sells the market’s best nights to its least committed buyers, days before the most committed ones arrive.
Los Angeles // The Ceiling
Then there is Los Angeles, the market that should have been the biggest winner and instead became the cautionary tale.
ADR for the June 12 USA opener finished around $245 versus $150 the prior year — a healthy premium. But occupancy finished nearly flat, roughly 68% against 64%, so the RevPAR gain (~$165 vs ~$95) came almost entirely from rate.
The evidence points to demand falling short rather than a supply story. Industry reporting found as many as 70% of LA hotels booking below expectations, FIFA releasing overbooked room blocks back to the market, and thousands of tickets unsold as fans balked at the total cost of the trip amid softer international travel. It was all priced high, and some of the demand simply did not come.
The lesson is not that events do not pay; it is that hype is not a pricing strategy and that every market has a demand ceiling. So, watch the signals, not the headlines. The signals include hospitality-industry pace reporting rather than promoter projections; room-block releases, an early read on realized demand; the schedule release itself; ticket sales and resale prices as a proxy for travel intent; and the macro backdrop, i.e., economic conditions, visa friction, even natural disasters and other demand shocks that can rewrite a season overnight.
What Miami’s Ordinary Year Teaches
Events are demand spikes — seasons are the same physics but in slow motion. Miami’s month-by-month data shows why the revenue strategy must be set months in advance, before the season begins.
Miami’s short-term occupancy climbs from a September trough near 45% to a February–March peak of 73–74% (Chart 3). ADR follows at about $175 in September, past $290 in December, topping $315 in March (Chart 4).
In June 2026, ADR jumped to roughly $285 against $202 the previous June, a 40% lift in normal shoulder season. That is the World Cup temporarily rewriting the market’s seasonality. And markets with two peaks, such as ski towns, need a separate ramp for each.
The booking window moves with the tide also: a median of about 9 days in September, stretching to 17–19 days from December through March. The booking window is the point at which roughly half of a period’s bookings are made. Work backward from twice that window for preparation, and do not panic when a date falls outside it and sits empty. That’s not weak demand; it’s too early.
The Playbook the Data Writes
Set your seasonal price first, then let price track occupancy // Seasonality sets the base and pace sets the adjustment. Ahead of pace, raise; lagging inside the booking window, ease. Events simply compress this cycle into a steeper window, exactly the kind of continuous, occupancy-responsive adjustment that dynamic pricing tools like PriceLabs automate across every date on the calendar, including the event dates most hosts catch too late.
Price high into uncertainty // A high price 200 days out costs nothing; a cheap early booking on a knockout date is a permanent loss. As teams qualify and pace confirms, hold or raise.
Work the minimum stay in both directions // Far out, set longer minimums to capture early planners’ long, high-value bookings. Close in, shorten them to catch the last-minute single-match surge. Discourage check-ins or check-outs that partially cover an event and strand your best nights.
Know when conversion makes sense, and when it’s too clever // Miami’s data shows short-term ADR ($175–320 across the year) running well above long-term rates ($163–212). Long-term pricing trades a discount for certainty and lower turnover. Convert for a defined window with a known demand driver, extended-stay rates for winter snowbirds (strongest in true snowbird magnets like Portugal’s Algarve or Mexican coastal cities), student housing flipping short-term over summer, and a mid-term unit going short-term for a World Cup month. Running mid-term far out and short-term close in on the same calendar usually costs more in complexity than it yields.
Respect the operations // Cleaning costs are mostly labor and don’t flex, so structure around it: Set higher fees for large units and high-maintenance amenities such as pools, hot tubs, and pet-friendly setups and establish restrictions on same-day bookings, where late turnovers are costly. A one-night stay in a four-bedroom is rarely loss-making, the cleaning fee sits on top of the rate, but they are often more trouble than they are worth; that’s what minimum stays are for. List new properties a few months ahead of peak, in line with the booking window: Listings without reviews convert poorly, so use the low season to build ratings, discounting aggressively if a listing is not getting traction.
The Mistakes that Repeat in Every Dataset
Almost every failure in the data is a version of two errors: pricing statically and reacting late. One rate for a World Cup weekend and a random Tuesday in September is the single most expensive mistake in the dataset. Close second is the panic discount, cutting rates on a date that sits empty outside its booking window, converting demand that would have paid full price. Kansas City hosts who waited to see the surge before repricing gave away months of premiums; it was visible in the pace data from announcement day.
The rest are operational own-goals: benchmarking against the wrong comp set; minimum stays so aggressive they strand unbookable orphan nights; partial stays that carve up an event weekend; burying a premium amenity, oceanfront, ski-in, instead of pricing and marketing it; and letting ratings slide, which quietly caps visibility, conversion, and the ADR ceiling all at once.
Ten Rules for Optimal Performance
1» Aim for the best-priced booking, not the earliest.
2» Price high far out; discount closer in, never the reverse.
3» Longer minimum stays far out; shorter closer in.
4» Set the seasonal price first; then let pace move it.
5» Ahead of occupancy pace, raise; behind pace inside the window, lower.
6» Outside the booking window, hold your nerve.
7» Price up for events, holidays, and high season; competitively in low season and on soft weekdays.
8» Watch pace data, room-block releases, and ticket resale.
9» Close calendar gaps with targeted discounts before they perish.
10» Maximize RevPAR — not ADR, not occupancy. It is usually easier to lift RevPAR through higher occupancy than higher rate, as long as you stay above cost.
The Kansas City host who repriced on announcement night did not have any better information; they had the same fixture list as everyone else. What they had was a framework, and the data says it was worth about four times the rate.
