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Hotels

How hotel revenue forecasting helps US properties plan with confidence

Hotel revenue forecasting is the process of estimating what your property will earn over a coming period. It’s based on historical performance, the business already on your books and the market conditions you expect to be trading in.

What makes forecasting difficult is how much the numbers move. In February 2026, CoStar and Tourism Economics put US RevPAR growth for the year at 0.6%. By June they'd raised it to 2.8%, and in August they raised it again to 4.4%.

Planning with confidence means creating a process that tells you when the picture has changed, and gives your team enough warning to act on it. Read on to discover how to up your forecasting game. 

Victoria Sparkes Digital Content Writer for Hospitality

by Victoria Sparkes

Digital Content Writer for Hospitality

Posted 27/08/2026

What hotel revenue forecasting is and why it matters more than ever

Hotel forecasting is an estimate of future performance built from three inputs. 

  • What happened before. Occupancy, Average Daily Rate (ADR) and Revenue per Available Room (RevPAR) by date, taken from your Property Management System (PMS). 
  • What's already committed. Your on-the-books position, and the pace at which it's building. 
  • What's happening outside your property. From the convention calendar to a competitor dropping rate. 

The importance of forecasting in the hotel industry

Forecasting is the input to almost every decision like what you charge to how many people you schedule. 2025 made the point well: 

  • US hotels went into the year with confident budgets and revised revenue expectations down 7 to 10% by mid-year.
  • Rooms revenue ran 12% below budget through the third quarter. 
  • The year closed with ADR 3.8% under budget and RevPAR 5% under, and the widest gaps showed up in July and August. 

HotelData.com's Q4 report puts the narrowing down to operators recalibrating forecasts and tightening cost control rather than to the market improving. The hotels that finished closer to plan were the ones that noticed sooner rather than later.  

Demand forecasting and revenue forecasting aren't the same thing

  • Demand forecasting estimates how many people will want to stay with you on a given date, which drives inventory and restriction decisions.
  • Revenue forecasting converts that demand into dollars, across rooms and everything else the guest spends on.

You need both because your property can hit its occupancy forecast and still miss its revenue number.

Why the annual budget stopped being enough on its own

An annual budget is a useful planning document, particularly if you're reporting to owners or a management company on a fixed cycle.

A rolling forecast, however, gives you a way to respond because you're updating a forward view weekly or monthly rather than defending one number set in the fall. Building a conservative, base and optimistic version helps too, since it gives your team a range to plan labor and purchasing against.

The metrics to forecast

Hotel revenue management forecasting often begins with occupancy, ADR and RevPAR.

  • Occupancy. Rooms sold against rooms available. It tells you how full your property is but not how much it costs to fill those rooms.
  • ADR. Measures the average revenue for an occupied room per day, though growth is concentrated at the top of the market, with luxury running just under 6% through April 2026 against roughly 2% for select-service.
  • RevPAR. Occupancy and ADR multiplied together. US RevPAR closed 2025 at $100.02, down 0.3%, on occupancy of 62.3% and ADR of $160.54, which was the first full-year decline in both since 2020.
  • TrevPAR. Total Revenue per Available Room which includes F&B, spa, parking, resort fees and everything else. It fell 8.8% in 2025, from $165.95 to $151.34.
  • Booking pace and segmentation. How your on-the-books position is building against the same point last year, and which parts of the business are driving it.

Since the FTC's rule on unfair and deceptive fees took effect on May 12, 2025, you have to include mandatory resort, destination and amenity fees inside the upfront cost.

Pace and segmentation are where forecasts most often go wrong. If your reservations arrive through the website, OTAs, the GDS, metasearch, the call center and group contracts and you're pulling those together by hand, you're forecasting on a picture that's already out of date.

How to forecast hotel occupancy step by step

1. Pull your historical data 

Start in your PMS and pull:

  • Rooms sold by date, plus occupancy, ADR and RevPAR summaries.
  • Pickup reports going back two to three years.
  • A note against anything that distorts the pattern, whether that's a hurricane displacement period, a convention that isn't returning or a renovation that took rooms out of service.

 

You’re looking for patterns. Think which months carry the year, which days hold rate and how far out your business typically commits.

2. Read your on-the-books position

Compare where you are today against the same day last year. Being 200 rooms ahead means nothing until you know whether those rooms arrived earlier than usual or represent additional business. 

Then break it down by segment, since a total that looks on pace can be hiding two problems that cancel each other out. 

3. Layer in what's happening outside the hotel 

This is the stuff you need to compile: 

  • Conventions, sporting events and concerts
  • School calendars and holiday placement
  • Competitor rate moves and new supply on your block
  • Market conditions 

4. Build the occupancy forecast 

Take your historical baseline, adjust it for the pace you're actually running and the events you know about, then produce a range rather than a single figure. A conservative, base and optimistic version makes the assumptions visible, which helps when you're explaining a variance. 

 

If you're looking for a hotel occupancy forecast template to start from, here’s a structure to follow: 

  • One row per date
  • Columns for rooms available
  • On-the-books rooms
  • Forecast rooms
  • Forecast occupancy and actuals
  • A segment split underneath 

5. Convert occupancy into revenue 

Multiply forecast occupied rooms by expected ADR for each period, then add your ancillary estimate on top using your own capture rates rather than a benchmark. Knowing how to forecast hotel revenue rather than just rooms sold is what turns this into a number the GM and the owner can both use.

Forecasting by guest segment

A total on-the-books figure hides where the business is coming from, and each guest segment behaves differently: 

  • Groups commit early and cancel in blocks. 
  • Corporate is steadier week to week, but responds to travel policy rather than rate. 
  • Leisure travelers books late, and OTA leisure books later still, at a different net rate once commission is out.

 

Booking windows have tightened across all of them. Marriott's CFO told the Lodging Conference in 2025 that 40% of US transient business was arriving inside a four-day window, which she described as about as short as she'd seen it.

While you don't need a full revenue management system to start, what you do need is a reliable feed of where the bookings are coming from. 

What a forecast changes outside the revenue office 

Forecasting is the earliest reliable signal the property has about what's coming, and every department with a lead time can use it: 

  • Housekeeping can build the schedule around the occupancy curve instead of reacting to it on the day.
  • The kitchen can order for the guests who are in the building this week, groups included, instead of working from last week's numbers.
  • The front desk can be staffed against the arrivals pattern rather than a flat daily shape.
  • The commercial team gets a warning in advance.  

 

This is even more useful when margins are tight. CBRE's Trends survey of 2,216 US hotels found revenue up 2.6% in 2025 against expenses up 3.1%, and AHLA has GOPPAR at roughly 90% of 2019 levels.  

Four common forecasting mistakes and how to fix them

  • Never comparing the forecast against what happened. Set a weekly cadence where you take last week's forecast for dates that have now closed, compare it against actual data and adjust whichever pickup assumptions were wrong. 
  • Treating the annual budget as the forecast. The budget is what you told ownership in the fall and the forecast is what you believe today. Keeping them separate means you can be honest in one without changing the other. 
  • Ignoring the booking window. With a large share of transient business arriving inside a few days of stay, a forecast that assumes last year's lead times will misread the same pace signal in both directions. 
  • Keeping the forecast inside the revenue office. Your forecast isn’t being used to its full potential if housekeeping, F&B and the front desk are working from different expectations.

Hotel forecasting tools and what to look for

There are roughly three tiers:

  • Spreadsheets are transparent and free. They don’t scale, though, and when they break it’s not always obvious straight away.
  • PMS-native modules cover the basics for properties that aren't ready for a dedicated system but they lack segmentation depth and scenario modeling.
  • Dedicated revenue management systems pull live booking data, competitor rates and demand signals, and update the forecast continuously.

Whichever tier you're in, hotel forecasting tools should be judged on five things: 

  • Live data integration, because the forecast is only as current as what feeds it 
  • Segment-level visibility rather than total rooms 
  • Scenario modeling 
  • Competitor rate context 
  • A reconciliation workflow 

Our revenue management system is built for revenue managers who need forecasting and dynamic pricing they can act on, analyzing booking patterns, competitor markets and demand as they move. It keeps the revenue manager in the decision. The Drey Hotel Dallas, a 50-room boutique property, ran 80% average occupancy while holding its rate 18% above its comp set with the help of our hotel revenue management system.  

Access Hospitality gives you revenue management and reservations software built so the forecast, the rate and the booking data exist in one place. If you want to see how that holds up against your own numbers, take a look at how the revenue management system and central reservation system handle forecasting and pricing, or start a conversation about where your current forecast is letting you down.

 

Hotel revenue forecasting FAQs

What is hotel revenue forecasting?

Hotel revenue forecasting is the process of estimating future revenue from historical performance, current bookings and expected market conditions. It covers room and ancillary revenue, and it drives pricing, staffing, purchasing and budget decisions across the property.

How do you forecast hotel occupancy?

Pull two to three years of historical occupancy by date from your PMS, compare your on-the-books position against the same day last year, adjust for local events and market conditions, then produce a conservative, base and optimistic range rather than a single number. Break it down by segment and reconcile against actuals weekly.

Why is forecasting important in the hotel industry?

Because almost every decision depends on it. Rate, staffing, ordering and marketing spend are all set against an expectation of future demand, and US hotels finished 2025 with RevPAR 5% below budget, which shows what happens when that expectation isn't revisited often enough.

What tools do hotels use for revenue forecasting?

Spreadsheets, PMS-native forecasting modules and dedicated revenue management systems. The right choice depends on how often you need the forecast updated and how many channels you're managing.

Forecasting is a good habit

The industry's own best forecasters revised the 2026 US outlook three times in six months, and the properties that came closest to plan in 2025 were the ones that recalibrated fastest.

The best forecasting process makes it fast and easy for your team to make changes when the market changes. The Access SHR revenue management system gives revenue managers live data, forecasting and dynamic pricing they can act on, and paired with the Access SHR CRS, it works from a complete picture of demand.

Victoria Sparkes Digital Content Writer for Hospitality

By Victoria Sparkes

Digital Content Writer for Hospitality

Victoria is one of our dedicated content writers here at Access Hospitality. Her rich experience in the retail, L&D and hospitality industry enables her to create engaging and informative content that encapsulates our ethos here at Access. Combined with her expert content insights and professional writing skills, Victoria helps our customers understand the importance of hospitality software and is an integral part of the content team.