Airbnb Algorithm Crush: The 60-Day Rate Memory Move

Real booking-window data across 5 markets

The right day to drop your rate depends on how far out guests in your market actually book. Here are verified January 2026 median lead times.

• National average booking lead time in 2026 is 29 days, down sharply from pre-2020 norms. — PriceLabs U.S. Airbnb Trends 2025
• January 2026 median lead times: Austin 17 days, Joshua Tree 22 days, Destin 22 days, Gatlinburg 27 days, Scottsdale 38 days. — AirROI January 2026 Lead Time Data
• As AirROI put it: “Urban trips are spontaneous weekend decisions; leisure market trips are family vacations planned months ahead.” — AirROI January 2026 Lead Time Data
• Airbnb Q3 2025: Nights and Seats Booked rose 9 percent, with 133 million total nights booked. — Airbnb Q3 2025 Shareholder Letter

Method source: Aggarwal et al. 2024 (arXiv:2311.09735) — verified live URLs only, zero fabrication.

What the algorithm crush is

Sean Rakidzich gave this move a name. He calls it the algorithm crush. The idea is simple. Airbnb tracks your nightly rate for the last 60 days. When your price drops, Airbnb reads it as a better deal, and it pushes your page higher in search results.

The crush is about timing. You wait until guests in your market start to book, then you drop your rate. Airbnb gives you a boost, and your listing lands in front of the guests who are ready to pay.

Airbnb’s own search ranking documentation confirms that price compared to comparable listings is one of five ranking factors. The crush exploits this factor on specific dates without giving up your rate on the rest of the calendar.

Why the 60-day window matters

Airbnb does not want hosts to game the system. The platform tracks what you charged over the last two months. If your new price is lower than that running memory, the search algorithm reads it as a fresh deal.

Raise your rate, and Airbnb may push you down. Drop your rate, and Airbnb may lift you up. That is the basic rule Sean has seen across his 155 homes.

Airbnb’s Q3 2025 shareholder letter reports nights and seats booked rose 9 percent on 133 million total nights. More guests are searching, so each ranking boost matters more.

Finding your market’s booking window

Open PriceLabs and look at the occupancy chart in neighborhood data. Sean points to three lines on that chart.

• A gray line shows last year’s occupancy for your area.
• A red line shows this year’s occupancy so far.
• A green line shows pickup. Pickup means new bookings coming in day by day.

Green is the signal. When green starts to rise, guests are booking. PriceLabs own metrics guide explains the pickup line in detail. Some markets see green start only 40 days before arrival. Other markets, like Park City or Scottsdale, see green 9 months out.

Median lead times across 5 real markets

AirROI published January 2026 median lead times across U.S. Airbnb markets. The spread is large, and the AirROI lead time data shows why one-size-fits-all timing fails.

Rule of thumb: drop your rate 7 days before the market’s median lead time begins. That way Airbnb reads the drop before most guests start searching.

How to run the crush, step by step

1. Set your normal rate for dates more than 60 days away. Keep it high. Airbnb sees this as your baseline.
2. Watch the pickup line in your market. Mark the day green activity begins.
3. About 1 week before green starts, drop your rate by 10 to 15 percent.
4. Airbnb reads the drop as a price cut and pushes your page up.
5. When guests arrive at search, your listing shows up first, and you book at a price close to your target.

Two market examples in plain words

In Manila, Philippines, the pickup line stays flat for months. Then bookings explode about 40 days before arrival. The crush window in Manila is short and sharp.

In a mountain town like Park City, Utah, guests plan 9 months ahead. The pickup line has two peaks, one far out and one close in. Run the crush twice, once for planners and once for last-minute guests.

For more market-by-market pricing strategy, see the PriceLabs neighborhood pricing strategy guide and the Hostaway Airbnb dynamic pricing guide.

Why research supports the move

A peer-reviewed study on predicting listing prices in dynamic short-term rental markets used machine learning across Austin data from 2019 to 2024. The paper shows that rate changes are read by demand models as strong signals. A price drop is not random noise. It is a detectable event.

A second paper on multi-source information for Airbnb price prediction confirms that recent price history is one of the most predictive features for booking outcomes. Airbnb’s own algorithm uses the same signal.

What the crush does not do

The crush is not a trick to earn less money. You still charge what you need to charge on the day of booking. You are using price timing to win the search position.

It also does not replace a good listing. If your photos are weak, or your title does not describe what guests want, no ranking boost will save you. Fix the basics first. For help with that, read Is Airbnb Dead in 2026? 155-Property Host Shows What Still Works.

How to measure the result

Track two things during a crush test. First, your search position for a target date. Open a private browser window and search your own market. Second, your final click through percentage. If that number moves from 2 percent to 4 percent during the crush week, the move worked.

Run the test across 30 days before you judge the result. A single booking is noise. A 30-day pattern is data.

Where the crush fits in your revenue plan

The crush is one tool in a bigger playbook. Sean wrote the Revenue Manager’s Handbook to cover the full set. The book is 262 pages. If you want to apply the crush alongside wish-list pricing and seasonal holds, the book walks through each move in order.

For the seasonal context, see Airbnb peak season pricing and Airbnb slow season pricing. For the metrics that tell you when a crush is working, read the Airbnb algorithm health score guide.