The process of identifying and interpreting patterns and changes in vacation rental data, such as booking trends, pricing fluctuations, and guest preferences.
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Glossary Term: Predictive Analytics
11 posts
Utilizing data and analytics to predict future demand for short-term rentals, allowing hosts and property managers to adjust pricing and optimize occupancy.
A prediction of future occupancy rates based on historical data, market trends, and other relevant factors, used to inform pricing and revenue strategies.
A set of rules or calculations used by software to automatically adjust rental prices based on factors like demand, competition, and time of year.
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 suite of advanced analytics tools within Salesforce that can be used to analyze rental data, predict demand, and optimize pricing.
A feature within some property management platforms that uses machine learning algorithms to predict future occupancy rates for short-term rentals.
Data-driven insights provided by some property management systems that use predictive analytics to highlight potential revenue growth opportunities.
The process of predicting future demand for short-term rentals based on historical data, seasonality, and market trends.
The process of predicting future demand for short-term rentals based on historical data, market trends, and other factors.
A cloud-based service in Microsoft Azure for building, training, and deploying machine learning models, potentially used for price optimization and guest behavior analysis in short-term rentals.