A tool that analyzes market data, seasonality, and demand to help hosts optimize their pricing strategy and maximize revenue.
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Glossary Term: Demand Forecasting
34 posts
The percentage of time a short-term rental property is booked and occupied by guests. Higher occupancy rates generally translate to increased revenue, but achieving optimal occupancy requires balancing pricing, marketing, and seasonality.
Software that uses data analysis and algorithms to optimize pricing strategies, forecast demand, and maximize rental income for short-term rentals.
The practice of analyzing data and adjusting pricing strategies to maximize revenue and occupancy rates for short-term rentals.
Strategies for maximizing revenue during periods of high demand, such as holidays or special events, by adjusting pricing, minimum stay requirements, and booking policies.
Strategies and tools used to optimize booking patterns based on anticipated demand and seasonal trends, maximizing occupancy and revenue.
The process of predicting future demand and revenue for a short-term rental property based on historical data, market trends, and external factors. This helps hosts make informed decisions about pricing and availability.
A nightly rate for a short-term rental that has been adjusted based on historical occupancy and demand data, similar to how hotels adjust their pricing.
Strategic pricing and inventory management techniques employed to maximize revenue and profitability for short-term rental properties, often leveraging data analytics and market trends.
Past occupancy data for a specific short-term rental property or market, used to analyze trends and forecast future demand.
The strategic implementation of pricing and booking strategies to maximize revenue from short-term rentals by analyzing factors like demand, seasonality, and competition.
A calendar view that displays bookings far in advance, allowing hosts to anticipate demand, adjust pricing, and plan for future reservations.