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Consider booking patterns, cancellation rates, averagelength of stay, guest preferences for room amenities or dietary restrictions, website and app metrics, competitor rates, and market trends—the list goes on. This on-demand access helps staff gain practical knowledge faster.
What is hotel forecasting? Hotel forecasting, also known as hotel demand forecasting, is a strategy that sees a hotel analyse historical data and trends to make predictions about future demand. Hotel forecasting reports are built on a foundation of data. Small, independent hotels might form quite basic forecasts.
Learn more Yield management vs revenue management The goal of yield management is not merely to increase room rates or occupancy; rather, it’s to maximise your hotel’s revenue by forecasting your room supply and demand across a variety of key factors. Informed Decision-Making : Yield management relies heavily on data analytics.
Income: Forecasted and other expected revenue. When planning your budget, your report should include: Fixed costs (eg. rent): No connection with business activity. Variable costs (eg. wages): Changes according to business activity. Actual costs: The difference between budgeted figures and actual numbers.
Adjust pricing Forecast demand and adjust your room rates well ahead of time. Manage no-shows and cancellations No-shows and late cancellations can be damaging to your revenue optimisation efforts, so you need to craft a fair policy, ensure all guests understand it, then enforce it to the letter.
Hotel statistics may include occupancy rates, revenue figures, guest statistics, cancellation rates, booking channel statistics and more. This kind of data is invaluable for hoteliers who want to analyse performance, benchmark, forecast, and plan strategically to ensure business success. The average booking lead time for hotels is 29.7
Hoteliers can use statistics to understand their guests better, forecast demand, create offers based on current trends, and optimise their pricing and revenue strategies. 67% of families say that they now check cancellation policies when making travel arrangements and 47% say they now buy travel insurance.
Analyze booking data for each segment to look for patterns such as: City of origin Booking channels Lead times Stay patterns (E.g., arrival and departure days, averagelength of stay) Preferred room types Average daily rate and revenue per booking Cancellation rates Identify your most valuable market segments.
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