Article

The TL;DR

A hotel competitive analysis shows you who you're really up against, how your rate stacks up against the value you deliver, and where to move next.

Open any OTA, search your destination, and look at the hotels sitting next to yours. Those are the properties a guest is choosing between, and every one of them is setting rates with you in mind.

Most hotels look back at their competitors now and then, usually when occupancy dips or a busy weekend sneaks up. A hotel competitive analysis replaces that scramble with a method: who you’re really up against, how your rate compares to the value you deliver, and where to move next.

This guide explores the full process: building your comp set, scoring your property honestly, comparing rates like for like, benchmarking performance, and turning findings into decisions. It also covers how often to repeat the work and when to stop doing it by hand.

Key takeaways

A hotel competitive analysis compares your price, product, reputation, and distribution against the hotels competing for your guests
Build a comp set of five to seven direct competitors, plus secondary sets for aspirational and lower-tier properties
Compare rates like for like: same room type, rate type, length of stay, and lead time
Use MPI, ARI, and RGI to see whether you’re converting demand into revenue or just buying occupancy with rate
Look past price at reviews, online visibility, direct presence, and offers
Turn every analysis into three actions with an owner and a date
Revisit weekly, monthly, quarterly, and annually, and automate the routine work once it starts eating your time

What is a hotel competitive analysis?

A hotel competitive analysis (also called a hotel competitor analysis) is a structured comparison of your property against the hotels competing for the same guests, covering price, product, reputation, and distribution. The goal is to find your position in the market and decide where to compete, where to differentiate, and what to charge.

It helps to separate three related terms:

Competitive analysis: the full comparison across price, product, reputation, and distribution
Comp set analysis: a narrower look at the specific group of hotels you benchmark against, usually for rate and performance
Market analysis: the wider view, including new supply, demand drivers, and economic conditions around your destination

A hotel SWOT analysis is the natural partner here. A SWOT looks at your strengths, weaknesses, opportunities, and threats. Your competitive analysis supplies the evidence for the last two.

Why a hotel competitive analysis matters right now

Pricing without context goes wrong in two directions.

Rates set too low leave money on the table.
Rates set too high cost you occupancy.

A competitive analysis gives you reference points to find the sweet spot between them, and to defend it when the market moves.

Most independents already know this. Half of independent properties base their pricing decisions on monitoring competitors’ rates. However, it’s important to note that a competitive analysis shouldn’t make up the bulk of your revenue management strategy. It should be one input in a full range of signals: your own booking pace and demand forecasts, market and event data, channel performance, cancellations, and guest segments.

Competitor rates tell you where the market is, but they don’t tell you what your demand is doing, so use the analysis to inform your pricing, not to dictate it.

What to include in a hotel competitive analysis

A complete hotel competitor analysis looks at seven areas:

You don’t need to analyze all seven every time. Instead, start with pricing, product, and reputation, then add the rest as your process matures.

How to do a hotel competitive analysis in 7 steps

Here we’ll break down how to do a competitive analysis in seven steps.

Step 1: Build your competitive set

Your hotel comp set is the group of properties you’ll measure yourself against. Choose hotels that attract a similar guest and compete for the same bookings, not the ones you admire or the ones you’re annoyed by.

Weigh these criteria:

Distance and neighborhood
Star rating or product class
Room count and room types
Price point
Guest type, such as leisure, corporate, or groups
Who shows up next to you when a traveler searches your destination

To find out the last one, search your destination on Google and the major OTAs the way a guest would, and note who appears beside you.

Aim for five to seven direct competitors. With fewer than three, one outlier can skew your picture.

Then build secondary comp sets for a bigger-picture view: a few higher-priced hotels you aspire to match (useful before a renovation), and a set of lower-tier properties so you can see how they react when the market shifts. If you serve distinct segments, like weekend leisure and midweek corporate, consider a set for each.

A comp set can also reveal what isn’t there. Before taking Hotel 1550 SFO independent, Operator Vipul Dayal commissioned a feasibility study, and the competitive set told him something he hadn’t expected:

It showed us that there’s no three star or three and a half star property in your comp set… Come to find out, it was quite easy. You just add a couple of more amenities, and there we go, we raise the rate.

It showed us that there’s no three star or three and a half star property in your comp set… Come to find out, it was quite easy. You just add a couple of more amenities, and there we go, we raise the rate.

An empty slot in your comp set is an opportunity worth testing.

Step 2: Choose what to compare, then score every property

Next, pick the characteristics that matter most to your guests, and rate each property from 1 to 10 on each one. The classic four are:

Location
Property amenities
Room quality
Reviews (number and star rating)

Add others if they drive your bookings, such as service, food and beverage, design, or direct-booking experience. If your guests are mostly business travelers, weigh location more heavily. If you’re a resort, amenities may deserve more weight.

Here’s an illustrative example with four fictional competitors:

Step 3: Collect rates like for like

Now inventory your comp set’s rates. Make sure you’re comparing equivalent products. That means the same room type, the same rate type, the same length of stay, and the same lead time.

Comparing your best available rate to a competitor’s best flexible rate, or your standard room to their suite, produces a number that looks like insight and isn’t.

Some practical habits include:

Capture a range for each property, from the lowest to the highest publicly listed rate
Check both OTAs and the competitor’s own website, since direct rates can differ
Compare weekdays, weekends, and event dates separately
Look 30 to 90 days out, not just tonight
Note restrictions like minimum stays and cancellation terms, because they change what a rate really means

Step 4: Benchmark performance with MPI, ARI, and RGI

Rates show what competitors charge, whereas benchmarking shows how well you’re converting demand into revenue. Three indexes do most of the work:

Anything above 100 means you’re outperforming the set, and anything below means you’re trailing it.

Say your occupancy is 74% against a comp set at 70%, and your ADR is $158 against their $166. Your MPI is about 106 and your ARI is about 95. You’re filling more rooms than your fair share, but at a lower rate, and your RGI lands at roughly 101. In other words, you’re buying occupancy with rate and getting no revenue premium for it.

STR benchmarking reports are the standard source for comp set performance data, and some markets offer similar data through local hotel associations.

Step 5: Plot price against value

Now put steps 2 and 3 together. Draw a graph with rate on the horizontal axis (from the lowest to the highest rate you found for each property) and perceived value on the vertical axis (the average score from step 2).

Properties that sit above the trend line deliver more value for the price. Those below it charge more than their value supports. Where you sit relative to the cluster tells you whether you’re positioned to win.

Using the example above:

Against Maple & Main Inn, you score three quarters of a point higher and your floor rate is $20 higher, which looks like a defensible premium
Against The Harborview, you score three quarters of a point lower, but your ceiling of $185 overlaps their $175 floor, so on peak dates a guest comparing the two has a reason to pick them
Your amenities score of 6 is your lowest and sits two points below The Harborview’s, which points to where a modest investment could close the gap

Step 6: Look beyond price

Rates alone don’t tell you why guests chose each competitor. Look at other factors, including:

Reviews. Compare score, volume, and recency across Google, Tripadvisor, and the OTAs. A property with 3,000 reviews and a steady flow of new ones has an edge over one with 33 and nothing recent, even at the same score. Read what guests complain about at competitors, because their frustrations are your opportunities.
Online visibility. Search your destination the way a traveler would, on Google, on the OTAs, and in AI assistants like ChatGPT and Gemini. Note who gets recommended and why, since AI-driven discovery is one of the forces reshaping the industry, so who the assistants surface now matters.
Distribution and direct presence. Check which channels competitors sell on and how their direct website compares to yours. Does it load fast? Does it offer a reason to book direct, such as a perk, a package, or a better rate?
Offers and upsells. Look at packages and add-ons. Competitors who earn more per guest can afford sharper room rates.

Step 7: Turn the findings into decisions

Close the loop with a short list of actions, an owner for each, and a date to revisit.

Common actions include:

Raise rates on dates where your value matches or beats the set and your price sits below it
Hold rates where you’re at parity and demand is healthy
Add value or lower the rate where your price exceeds your perceived value
Close an amenity or product gap that’s costing you bookings
Adjust minimum stays or restrictions on dates where competitors are filling and you aren’t
Respond to soft dates with a targeted campaign instead of another rate cut

That last one is important to keep in mind. When your analysis shows a need period, a lower rate is one way to fill it, but it’s rarely the most profitable. A relevant offer to past guests via email marketing and your guest CRM can fill rooms without dragging your ADR down.

How often should you run a hotel competitive analysis?

More often than most hotels do. Markets move fast, and a competitor’s rate change can land at the exact moment you’re busy with guests. Delphine, a Product Manager at Cloudbeds and a former revenue manager, describes the feeling:

I know my competitor next door is gonna increase $20. Well, actually when I logged in at 5PM, they had already moved and I was too late because I was focusing on my guest. And that’s the right thing to do for you, focusing on your guests.

I know my competitor next door is gonna increase $20. Well, actually when I logged in at 5PM, they had already moved and I was too late because I was focusing on my guest. And that’s the right thing to do for you, focusing on your guests.

If you’re tracking your compset manually, you could follow the following schedule:

Common hotel competitive analysis mistakes

Even experienced teams struggle with some of the same things:

Comparing your lowest rate to a competitor’s best flexible rate
Choosing competitors by pride instead of by guest overlap
Scoring your own property generously
Treating one day’s snapshot as a trend
Copying a competitor’s rate drop without checking whether it signals weak demand on their side
Ignoring reviews and online visibility because they’re harder to put a number on
Running the analysis once and filing it away

When it’s time for revenue management software

At Ambition Miami, Delphine Elias made a good point: pricing tools aren’t a ladder you have to climb. The right tool is the one that matches your property’s complexity. If you have two room categories, know your competitors well, and can state your positioning in a sentence (above one hotel, below another), a simple setup may be all you need.

Many hotels haven’t moved past that stage. In a 2026 survey of 450 senior revenue decision-makers, 43% of hotels still had no revenue management system, pricing instead by instinct, fixed seasonal rates, or spreadsheets with limited automation.

Signs it’s time to add technology

You don’t need a trigger event. Look for a pattern:

Competitors change rates faster than you can check them, and you keep finding out late
You or your team spend hours each week pulling rates or editing them date by date
Your comp set has grown across more room types, channels, or properties than a spreadsheet can hold
Your pricing rules need constant rewrites because the market keeps changing
You can’t explain to an owner why a rate was set the way it was
Slow dates keep sneaking up on you, because nothing flags them early

Which type of tool fits which stage

A rate shopper collects competitor data, but you still decide what to do with it. An RMS connects that data to a recommendation, alongside booking pace, demand forecasts, and events. When you evaluate any tool, ask:

Does it explain every recommendation, or only show a number
Can you set minimum and maximum rates and other guardrails
Does it read live PMS data, or do you export and sync
Can you override it at any time

Run your hotel competitive analysis inside Cloudbeds RMS

If you’d rather not rebuild the analysis in a spreadsheet every week, Cloudbeds RMS brings the output of your hotel competitive analysis onto one calendar. It reads your booking pace, competitor rates, and market demand together, because they all live in the same platform.

You see what to charge and why, and every recommendation comes with a plain-language reason, such as stronger booking pace, a shift in competitor rates, or an expected increase in demand.

Because Cloudbeds RMS runs natively in the platform, there’s no export and no sync delay. Approved rates flow straight to your PMS and channel manager. Hotels using Cloudbeds RMS see up to 95% forecast accuracy, 18% higher potential RevPAR, and more than 15 hours saved each week.

Stay one step ahead.

See your rate, your comp set, and the reason behind every recommendation in one spot.

Book a demo

About Rafael Blanes

Rafael has spent over 15 years working in hospitality as a revenue manager as well as e-commerce, distribution, and sales before joining Cloudbeds as VP of sales. He lives on the west coast of Florida and enjoys spending time with his family sailing to new places on the open sea.