A feature within the Airship platform that analyzes market data, seasonality, and competition to recommend optimal pricing strategies for maximizing revenue from short-term rental properties.
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Glossary Term: Revenue Management
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A dynamic pricing tool for short-term rentals that uses machine learning to optimize daily rates based on factors like demand, seasonality, and competitor pricing.
A dynamic pricing tool for short-term rentals that analyzes market data, seasonality, and demand fluctuations to automatically adjust rental rates for optimal revenue generation.
A key performance indicator (KPI) in the hospitality industry, calculated by dividing the total revenue generated from bookings by the number of nights booked.
A metric used to track the average number of nights guests stay in a short-term rental, providing insights into booking patterns and revenue potential.
The percentage of time a short-term rental property is occupied by paying guests over the course of a year.
The use of dynamic pricing tools that adjust rental rates based on factors like demand, seasonality, and competitor pricing.
Dynamic pricing models used by hosts and property managers to adjust rental rates based on factors like demand, seasonality, competitor pricing, and special events.
The process by which property management agencies optimize their clients’ listings on platforms like Airbnb and VRBO to enhance visibility, attract bookings, and maximize revenue.
Strategies and techniques employed by property management agencies to optimize rental income for their clients’ short-term rental properties, including dynamic pricing, yield management, and revenue forecasting.