The period between when a guest can make a reservation and the actual check-in date for a short-term rental, influencing pricing and availability strategies.
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Glossary Term: Dynamic Pricing
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The nightly or total price charged for a short-term rental stay that includes a Friday and/or Saturday night, often set at a premium compared to weekday rates due to higher demand.
The nightly or total price charged for a short-term rental stay that falls on a Monday through Thursday night, often set at a lower rate compared to weekend rates due to lower demand.
A specific nightly rate set for a specific period, event, or guest. It allows hosts to adjust pricing based on demand fluctuations and special circumstances.
A feature in short-term rental platforms that allows hosts to set different prices for specific dates or seasons, optimizing their pricing strategy for higher occupancy and revenue.
A software solution used to optimize pricing and availability for short-term rental properties. It analyzes factors like demand, seasonality, competitor pricing, and historical data to recommend dynamic pricing strategies that maximize revenue.
The practice of adjusting pricing and availability strategies for short-term rentals to maximize revenue. It involves analyzing market trends, seasonality, competitor activity, and other factors to optimize occupancy and average daily rates.
The practice of adjusting rental prices based on factors like demand, seasonality, and competition to maximize revenue.
Tools that automate price adjustments based on market demand, seasonality, and other factors, helping hosts optimize their rental rates.
Tools that use algorithms and market data to dynamically adjust rental prices based on factors like demand, seasonality, and competitor pricing.
A pricing strategy that considers factors like seasonality, demand, competitor pricing, and perceived value to determine optimal rental rates for a short-term property.
A pricing strategy where the price of a short-term rental approaches a certain level as the booking date gets closer. This strategy often involves lowering prices as the check-in date nears to avoid vacancy.