Little Hotelier
MARCH 25, 2024
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. Once your hotel has an idea of demand, you can make tweaks to your room and service prices that help maximise revenue and occupancy.
Little Hotelier
NOVEMBER 6, 2023
What is hotel revenue optimisation? As a small, independent hotelier you may have heard the terms hotel revenue optimisation and hotel revenue management. So what is revenue optimisation? Here are six revenue optimisation strategies that any independent hotelier can try.
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SiteMinder
OCTOBER 9, 2023
Revenue and profit are always important, but more specific KPIs around average length of stays may not always be as integral to highlight in hotel metrics reports. It offers insights into room demand and helps in forecasting. ALOS – Average length of stay tells you how long your guests stay with you on average.
SiteMinder
DECEMBER 4, 2023
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
SiteMinder
OCTOBER 10, 2023
What is hotel forecasting? Hotel forecasting is a method that is used to help managers determine their accommodation’s future demand and revenue performance. Whether you’re a seasoned hotelier or new to the industry, understanding the nuances of forecasting can be a game-changer for your business.
SiteMinder
JUNE 8, 2022
As unpredictable as it can be at times (especially through the COVID-19 pandemic), forecasting is still an important part of running a hotel and being able to make strategic revenue management decisions. What is hotel revenue forecasting? Why should your hotel use forecasting? Table of contents.
SiteMinder
NOVEMBER 30, 2023
Hoteliers can use statistics to understand their guests better, forecast demand, create offers based on current trends, and optimise their pricing and revenue strategies. 42% of Thai guests are ‘very supportive’ of their personal data being used to better their stay. Tourists spend an average of 167 USD per day in Thailand.
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