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Home » RMS for Hotels: How Revenue Management Systems Lift RevPAR

RMS for Hotels: How Revenue Management Systems Lift RevPAR

5 min read

If you’ve looked at any hotel RMS website, you’ve seen the promises: higher RevPAR, smarter pricing, a lift of 20, 30 or even 50%. Some of it is real. Some of it is marketing math. This post is about how an RMS can really move RevPAR, where the lift comes from, and how to tell whether you got any of it. I’ll keep it practical. RevPAR is revenue per available room, and you get it by multiplying your average daily rate by your occupancy. So there are only two ways to raise it: sell the rooms for more, or sell more of them. A good revenue management system, or RMS, helps with both, often at the same time, and it does it on hundreds of dates a hotel owner could never check by hand every day. Let’s go through how, and where the catches are.

RevPAR in plain numbers

Take a 40-room hotel that sold 28 rooms last night at an average of $120. Occupancy is 70%, ADR is $120, so RevPAR is $84. Now imagine a pricing tool raises the average rate to $126 while occupancy stays at 70%. RevPAR goes to about $88, roughly 5% up, with the same number of guests. Or it holds the rate and fills three more rooms. Same story, different route. In real life you get a mix. On busy nights the system raises prices because rooms will sell anyway. On slow nights it lowers them or opens a cheaper plan to pick up demand you’d otherwise miss. That’s the whole idea, and it isn’t magic. It’s the hotel version of not charging the same price for a Saturday in festival season and a Tuesday in the monsoon.

Where the lift usually comes from

The biggest gains tend to come from the dates people forget. Everyone remembers to raise rates for New Year. Fewer people notice that a random Thursday has gone from quiet to nearly sold out because a company booked a training event nearby. An RMS watches pickup, which is how quickly bookings arrive compared with normal, and reacts when a date heats up. It also protects you on the other side, spotting dates that are lagging so you can act early instead of discounting at the last minute. Another source is consistency. People get tired, go on holiday, or forget to update an OTA. Software doesn’t. If your channel manager and pricing tool are connected, a new rate lands on every site at once and you avoid the classic mess of one channel showing last week’s price.

RevPAR isn’t the whole picture: look at net

A higher RevPAR can hide a weaker month. If the lift came from more bookings through an OTA that charges 18% commission, your net income may barely have moved. That is why smart hotels also look at net RevPAR, revenue after distribution costs, and keep an eye on direct bookings through their booking engine. A pricing system that understands channels can help, for example, by keeping your direct rate competitive so guests don’t need an OTA to find a deal. Also check what the lift costs you in other ways. Higher rates sometimes mean fewer repeat guests or more complaints about value. None of this is a reason to avoid an RMS. It’s a reason to track a few extra numbers, such as channel mix and review scores, while it’s running.

What the big percentage claims mean

When a vendor says its customers see 30% more revenue, ask a few questions. Compared to what? Over how long? For which kind of hotel? A hotel that was pricing badly before will see a big jump, while one that already adjusted rates daily will see much less. Aiosell, for instance, says its AI dynamic pricing can lift revenue by around 30%, and one client says they’ve reached 20 to 50% more. Those figures come from the company and one customer, and they don’t guarantee your result. Treat them as the upper range of what’s possible when conditions are good. For your own planning, assume something much smaller until you’ve tested it, and ask the vendor for numbers from hotels in your city and size band, not the best case on the homepage.

How to measure your own result

Keep it simple. Write down your RevPAR, ADR, and occupancy for the three to six months before you start, and the same months a year earlier. After you switch, compare like with like and ignore weeks with unusual events. Better still, run the system on one room type or one property first and compare it with the rest. Also keep a note of every override you make, because it shows where you disagree with the software. If you want to try it, Aiosell bundles its revenue management system with its property management system, channel manager, and booking engine and offers a 15-day free trial, so the data stays in one place. Give any RMS a fair run of two or three months before you decide. A good one should be able to show its work with numbers from your own hotel.

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