Cloudbeds Launches RMS Built on Signals Unified Data
Cloudbeds launches Cloudbeds RMS, a revenue management system built on Signals data, with automated pricing native to the Cloudbeds PMS.
Written by
Mia Kun
in
Revenue Management Based on 13+ years advising independent hotels on revenue management, the pattern is clear: properties that forecast weekly outperform those that forecast once a year, or not at all. Forecasting isn't a finance exercise. It's how you set pricing, allocate staff, and prepare for what's coming.
The short answer: Hotel forecasting is the practice of using historical data and market trends to predict future occupancy, room rate, and revenue. It supports pricing strategy, staffing, and inventory decisions. The two main models are basic (property-level historical data) and advanced (segment-level breakdown). Accuracy improves with weekly review and competitive benchmarking.
In today's fast-paced world, everything is ever changing, and every prediction is considered to be forecasting. In the last few years, forecasting has become a necessity, a must for properties to correctly assess their demand, price changes, trends, seasonality, etc.
Simply put, forecasting is a way of analyzing past trends and data to predict future behaviour. With this approach, we prepare for the uncertainty laying ahead.
In the context of hotels and properties, there are multiple forecasting options, including:
For the purpose of better understanding, in this article, we will be focusing on the Revenue Management forecast.
Forecasting is a comprehensive tool, which can help predict future performance. Thus, it's the perfect way to prepare for uncertainty, utilize performance data, consider industry trends, and make education predictions about occupancy, room nights, average daily revenue, etc.
Forecasting is a key point for Revenue Management as it helps us prepare for the future and eases the uncertainty. While considering the future, it's also important to analyze past trends. It helps you take into account where you made mistakes and identify potential to create extra revenue.
Also, forecasting is what determines the future pricing strategy. Without an accurate forecast, you wouldn't possibly be able to guess the correct rate for the room or volume.
Forecasting is always a prediction. Since no one has the power to look into the future, it's not always accurate, especially with circumstances like Covid-19 popping up unexpectedly. Uncertainty is the biggest challenge of forecasting. In fact, anything without some historical data can be considered a challenge, as it will make forecasting difficult and complex.
Basic Forecasting Model is one of the simplest forecasting models and one which involves the least calculation. All you need to do is use historical data (room nights sold, occupancy, ADR, revenue, etc.) and market trend to predict future demand. This way, you are able to almost certainly tell how your next year will look like.
Advanced Forecasting Model is a bit more complex. While you use the market trends as before, instead of using the hotel’s historical data, you need to focus on the information by segment. By breaking it down to different segments, you have the opportunity to forecast more accurately. For instance, if you had a big group this year, you won't consider it in the basic model, and hence, might consider a higher occupancy next year.
But in this one, you will already know that the group isn't planning to come again next year. Thus, you will be accounting for less room nights. This gives you a more in-depth picture into the various segments and the exact demand you can expect.
The right model depends on the size of the property as well as the segments available in it. If your property has no groups, there is no point digging deep into segments. If it’s all leisure or business, there's no need to do it.
But if the number of rooms is quite high and you have various segments based on seasonality, it might be useful to look into it more carefully. The right forecast model solely depends on the property and its objective. Bear in mind: any forecasting model is better than none.
Revenue management forecasting focuses on revenue, room nights sold, and average daily rate. These are the key metrics of forecasting - the ones we need to set for predicting the future.
At first, it might seem intimidating, but from an operational point of view, forecasting is crucial. You need to predict how many people you need on shift, and the correct allocation of staff is the most important thing in running a property. Try and look at forecasting as a tool to remove the uncertainty of your life and help you make sound business decisions.
Start by gathering historical data and market trends. Once you have all these, compare them and see if you can draw conclusions. Identify any opportunities that you might have missed or reacted to late. Use that knowledge for the next year.
Forecasting is a valuable tool, which is a must for any property. It helps the business prepare for the future, identify opportunities, and minimize the margin for mistakes. But in order for the forecast to work, you need to make sure all your historical data is up-to-date and following market trends.
Once you have these in place, you can start forecasting. But it's important to keep reviewing everything, and adjusting the specifics on the basis of changes. The sooner you adjust and react to any change in demand or trends, the more prepared you will be. Everything should be reviewed at least on a weekly basis – especially the booking window.
Once a month, you should reflect on the previous month, identify what went wrong and what was good, and subsequently formulate a strategy for the same time next year. Also, once a month, you should review the forecast for the entire year, as for hotels, the inventory usually rolls a year in advance.
There are many things that can help you fine tune your forecast. Here are a few examples:
With HotelMinder, match with vetted hotel experts to solve your operational problems.
Forecasting is important for setting the property's pricing strategy, which will ultimately lead to reaching the desired revenue.
With forecasting, you can either decide to focus on the rate or on the volume based on your goals. It is a useful tool for setting sound pricing further out and building a base while maximizing revenue.
Forecasting makes the business run more smoothly and prepare you for what’s coming. However, it's not 100% accurate. Nothing will ever be, and hence, you need to keep going back to it, reviewing it, and change it accordingly.
Three ways HotelMinder can help:
Hotel forecasting is predicting future occupancy, room rate, and revenue using historical data and current market trends. It's the foundation for pricing and staffing decisions.
No forecast is 100% accurate. Short-term forecasts (30 days out) land closer to actuals than long-term ones. Accuracy improves significantly with weekly review and segment-level breakdowns.
The basic model uses property-level historical data and market trends. The advanced model breaks demand down by segment (groups, leisure, business, distribution channel) for sharper predictions. Larger properties with mixed segments benefit most from the advanced approach.
Weekly at minimum. Markets and booking pace shift faster than monthly reviews can keep up with. Check the booking window every week, and run a full-year forecast review once a month.
Yes. Any forecast is better than none. Small properties with a single segment (all leisure or all business) can keep it simple: historical data plus market trends is usually enough. The discipline of regular review matters more than model complexity.
Historical room nights sold, occupancy, ADR, and revenue at minimum. Add competitive set data and market intelligence from a rate shopper or RMS for sharper predictions. Without clean historical data, forecasting is guesswork.
An RMS automates the calculations but doesn't replace judgment. Software handles demand signals and pace; humans still set strategy, account for one-off events, and decide when to override the system. The best results come from both.
Mia Kun, originally from Hungary, Budapest, has been living in London UK while pursuing her interests in travelling and experiencing other cultures. She graduated in 2017 from Rochester Institute of Technology (RIT Croatia) with a major in International Hospitality and Service Management.
Currently, Mia works for a leading Hospitality Company as a Revenue Manager. With years of expertise in Creative Writing at Writers Bureau, she is a published author, who has written two fiction novels, and is currently working on more titles.
Her enthusiasm to add value in multiple domains across various categories of hospitality management has allowed her to take up different projects for HotelMinder, focusing on revenue management, distribution strategies, and guest interactions for clients.
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