Guesty PriceOptimizer occupancy demand pricing

Guesty PriceOptimizer occupancy pricing rules allow you to fully control the impact pricing has based on occupancy relating to the number of days before check-in, giving you the flexibility to adjust nightly rates based on occupancy and lead time. This includes the ability to apply discounted rates if the calendar is low in reservations or increase pricing if demand is high. Occupancy pricing rules won't cause your rates to fall below or rise above your minimum and maximum price limits.

Pricing forecast

In the pricing forecast, view your actual pricing, market pricing, and original pricing (before rules are applied) in an easy-to-read graph.

Customizing your occupancy pricing

Let's look at the following example strategy. Occupancy pricing rules allow you to set 15-day parameters for "days before check-in" in which to apply rules. When inputting figures into the relevant fields, please note that positive numbers increase pricing, while negative numbers discount pricing. 

Below we see the first timeline parameter is 0 to 15 days before check-in. When the occupancy is equal to or less than 20% from 0 to 15 days before check-in, we are giving a 15% discount on pricing by inputting "-15%" in the relevant field. Alternatively, in the 16 to 30 days before check-in parameter, we are giving a 10% discount by inputting "-10%" in the relevant field. 

When the occupancy is equal to or less than 60%, we are raising the pricing by 5% from 0 to 15 days before check-in and raising the price by 10% from 16 to 30 days before check-in.

Important:

Whenever a change is made, make sure to click Apply x change(s) in the top right corner of your screen and select Apply again in the confirmation pop-up. Your changes will not be saved if you navigate away from the page without clicking Apply.

Add day range columns in 15-day increments based on your needs by clicking + Add day range column in the upper right-hand corner. To add additional occupancy rows, click + Add occupancy row at the bottom of the current rows.

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