A pricing strategy for short-term rentals where rates fluctuate based on real-time market demand, seasonality, competitor pricing, and other relevant factors. Algorithms and data analysis are used to automatically adjust prices and optimize revenue.
Glossary Term: Revenue Management
A data-driven approach to maximizing income from short-term rentals. This involves leveraging analytics and insights to optimize pricing, occupancy rates, and operational efficiency. Tools and technologies are used to automate tasks, track performance, and identify growth opportunities.
Diversifying income beyond nightly rentals, like offering experiences, early check-in/late check-out, or local partnerships.
The percentage of time a rental property is booked over a specific period, a key metric for revenue management.
A software function or tool that automatically calculates and updates nightly rates for short-term rentals based on various factors like seasonality, demand, and competitor pricing.
Software solutions specifically designed for the short-term rental industry that provide tools for dynamic pricing, market analysis, and revenue optimization.
A dynamic pricing approach that considers multiple factors like seasonality, demand, competitor pricing, and property amenities to determine optimal rental rates and maximize revenue.
An increase in the percentage of booked nights over a specific period, indicating growing demand and potentially allowing for higher rental rates.
Adjusting rental rates based on factors that could impact occupancy and revenue, such as seasonality, local events, and competitor pricing.
Setting competitive and attractive rental rates based on factors like seasonality, demand, location, and property amenities.
The process of adjusting nightly rental rates based on factors such as demand, seasonality, events, and competitor pricing to maximize occupancy and revenue.
Offering a discounted rate to guests in exchange for booking a non-refundable reservation, providing greater financial security for the host.