The process of determining the optimal nightly rate for a short-term rental based on factors like seasonality, demand, competition, and property features.
The percentage of time that a rental property is booked and occupied by paying guests over a specific period, indicating the property’s popularity and revenue potential.
A pricing strategy where the nightly rate for a short-term rental property increases based on the number of guests occupying the space, typically after a certain threshold.
A pricing strategy used by short-term rental hosts to adjust their rates based on factors like location desirability, seasonality, local events, and competitor pricing within a specific geographical area.
A data-driven approach to pricing short-term rentals dynamically, considering factors like seasonality, demand, and competitor rates to maximize occupancy and revenue.
The use of algorithms and market data to adjust rental prices in real-time, optimizing occupancy rates and revenue based on factors like demand, seasonality, and competition.
Specialized software solutions designed to help short-term rental hosts optimize pricing, manage bookings, track expenses, and analyze financial performance.