Hotel competitive set: what it is and how to build one

Analyzing competitors is useful only if you know which properties to benchmark yourself against. A distance-based list is a start, but it is rarely enough for meaningful competitor analysis.

A practical comp set gives your KPIs context. It helps you understand whether a higher average daily rate (ADR) reflects stronger positioning or simply a different mix of stay dates, cancellation terms and room types.

What is a hotel comp set?

A hotel competitive set, often shortened to hotel comp set, is the working group of comparable hotels you use to benchmark rates, positioning and performance.

The goal is not to track every hotel nearby, only the ones a guest would genuinely consider instead of yours on Google Hotels, Booking.com or Expedia.

A useful comp set can include more than one type of competitor. Direct competitors form your core benchmark, while segment-specific and aspirational competitors can provide additional context if you keep them separate from your baseline.

A comp set is not simply “all hotels within X kilometres.” Distance matters, but guest intent, room product and booking conditions often matter more when you compare ADR and RevPAR.

Why does the right comp set matter for pricing and benchmarking?

The right comp set matters because it changes what “good” or “bad” performance means.

If you mix dissimilar hotels, your ADR, occupancy, RevPAR and review positioning become much harder to interpret, and pricing decisions can start following signals that have little to do with your own demand.

ADR and demand do not always move together. A market can post higher rates while occupancy stays flat or falls, and the same can happen to your hotel.

If your ADR is running ahead of your comp set, look at pickup – the pace at which bookings come in – as well. A stronger rate can hide weaker demand.

For example, say you and a hotel two streets away both sell a standard double at €150 on Tuesdays.

Your guests are corporate travelers who book a few days out on flexible rates. Their guests are leisure travelers who book weeks ahead on prepaid rates.

Three weeks before arrival, their inventory looks almost sold out while yours still looks slow. The difference comes from the booking window, not necessarily from price. That hotel may therefore be useful for comparison, but not as part of your core corporate benchmark.

A comp set is only useful when it explains your wins and losses. If your benchmark hotels sell to a different guest on different days, you end up chasing price moves that were never about you.

This is why revenue managers read KPIs by segment and channel instead of relying on one headline average. A comp set built around the same guest gives your own benchmarking the same context.

How do you build a hotel comp set?

You build a useful hotel comp set by checking comparability before you compare prices.

That way, your Booking.com and Expedia rate checks stay tied to the same guest and booking conditions instead of turning into reactive price matching.

1. Describe your offer in measurable terms

Write down your typical ADR band, room mix, star rating, key amenities such as meeting rooms, spa or food and beverage, and your main demand drivers: business district, resort, airport or events.

2. Build a long list, then score it

Pull candidates from the places guests actually shop, then assess each hotel against the same criteria.

One practical scoring model is:

• Location fit (0–3): same neighborhood, landmark or demand driver
• Segment fit (0–4): similar mix of leisure, corporate, group or extended-stay guests
• Room/product fit (0–3): comparable room types, property size and facilities
• Price band fit (0–3): similar typical ADR band
• Review fit (0–2): similar positioning on Tripadvisor, Google and Booking.com

Segment fit carries the most weight in this model because a hotel that sells to a different guest may change its rates for reasons that have little to do with your own demand.

3. Normalize every rate check

Compare like with like:

• same stay dates
• same booking window
• same length of stay
• same room type
• same cancellation policy
• same inclusions, such as breakfast
• same treatment of taxes and fees

4. Split your sets when the guest changes

Create separate comp sets for leisure and corporate demand, groups and meetings, or extended stay where necessary.

A hotel with meeting rooms, for example, may need a MICE (meetings, incentives, conferences and events) set and a leisure set instead of averaging two very different demand patterns into one benchmark.

The scoring matrix below shows how the model can work in practice. Competitors A, B and C are illustrative examples, not measured data.

For this model, you could use a score of around 10/15 as a first filter, then check segment and product fit separately before adding a hotel to the core set.

That is why Competitor B stays outside the core benchmark despite its total score: the guest mix is too different.

The exact threshold matters less than applying the same criteria consistently and keeping the final core set small enough to review regularly.

Where should you look for hotels to include in your comp set?

Look where guests compare hotels and where your team can verify comparable booking conditions.

Online travel agencies (OTAs) are a strong starting point, but validate the final list on direct websites as well so you do not compare different taxes, fees or cancellation terms as if they were the same product.

Pay particular attention to city tax. In Europe, VAT is usually included in the displayed price, while city tax may be shown separately or paid at the property. Check how each competitor presents it.

Useful sources include:

• Booking.com and Expedia for live shopping results and availability
• Google Hotels for metasearch comparisons
• Official hotel websites for direct rates, inclusions and cancellation terms
• Tripadvisor for traveler positioning and review volume
• Destination Marketing Organization (DMO) websites for official accommodation listings
• Rate-shopping and benchmarking tools as additional validation inputs

Your worksheet should capture the minimum fields needed to make rates comparable: check-in date, length of stay, room type, cancellation policy, city tax, breakfast or other inclusions, and availability.

For example, a competitor shows €129 on Booking.com against your €149 for a solo business traveler.

Their €129 rate is non-refundable and excludes a €15 breakfast, while your €149 rate is flexible and includes breakfast.

Once breakfast is included, the price gap is only €5 – and your guest receives more flexible cancellation terms.

Which hotels really belong in your comp set?

A hotel belongs in your core comp set when it competes for the same guest under similar booking conditions.

A nearby hotel is not automatically a direct competitor, and a similar price alone does not make two products comparable.

When two candidates end up with the same total score, prioritize segment fit. If they still tie, look at which property appears more frequently in your lost-business information.

Here is what to assess:

Location fit (0–3): Look beyond distance. Does the hotel sit near the same neighborhood, landmark, venue or business district that drives your demand?

Segment fit (0–4): Who does the hotel sell to – leisure, corporate, groups or extended stay – and how closely does that demand mix resemble yours?

Room/product fit (0–3): Compare room types, bed configurations, premium inventory, property size and business model.

Price band fit (0–3): Does the property usually sell within a similar ADR range?

Review fit (0–2): Compare positioning on Tripadvisor, Google Reviews and Booking.com, without letting a small review-score difference outweigh segment fit.

If a hotel matches you strongly on one segment but not overall, keep it in a separate segment-specific set instead of forcing it into the core benchmark.

Aspirational competitors can be handled the same way: useful to follow, but separate from the properties you use to judge your normal performance.

If you also compete with vacation rentals, treat them as indirect competitors unless the product, guest and booking conditions are genuinely comparable.

Once you have scored your shortlist, record the scores and comparable room type for each hotel in your template so every review starts from the same baseline.

Have you built the right comp set, and when should you update it?

You have built a useful comp set when it helps explain your wins, losses and pricing movements better than a simple distance-based list.

If the set cannot help explain why you lost a Tuesday corporate booking or why weekends picked up earlier than expected, it may no longer reflect how guests shop your property.

Validate it with a short checklist:

• Internal booking data: Compare pickup, booking window and length-of-stay patterns by day of week.
• Lost-business reasons: Record which hotel a guest chose instead, when you have that information.
• Guest feedback: Look for repeated “we also considered…” signals in calls, emails and reviews.
• Sales and front desk input: Ask which competitors appear in requests for proposal (RFPs), corporate negotiations and walk-in comparisons.
• Distribution behavior: Compare how competitors price on Booking.com and Expedia against their direct websites.

A quarterly review is a useful starting point, with additional updates when something structural changes: a renovation or rebranding, major new supply, a shift in your guest mix or a change in your distribution strategy.

If direct bookings are an important part of your strategy, add one more check: compare each competitor’s direct-site rate with its OTA rate for the same dates and conditions.

That shows you which properties compete with you for the same high-intent direct traffic, not only for visibility on booking platforms.

If your comp set still does not explain why bookings are moving differently from your competitors, revisit the selection criteria before changing your pricing.

Keep your comp set useful as the market changes

A competitive set is not a list you build once and leave untouched.

Keep the core group focused on hotels that genuinely compete for the same guests, document why each property belongs there and track aspirational or segment-specific competitors separately.

That gives your rate checks and performance KPIs a much more useful baseline – and makes it easier to see when a market movement actually matters for your property.

If you want to reduce the manual work behind competitor monitoring, Smartness Market Intelligence lets you follow competitor prices and market changes from one place while applying the same comp-set logic to your pricing decisions.

A good comp set helps you separate relevant market signals from noise. When the hotels you track compete for the same guests under similar conditions, their rates and availability give you useful context for your own pricing decisions.

The work does not stop once you have chosen the list. Competitors change prices, demand shifts and new properties enter the market, so your comp set needs regular monitoring as well as regular review.

With Smartfree, you can track competitor prices and market trends without checking each hotel manually. This gives you an up-to-date view of how your rates compare with the market and helps you spot changes that may require a closer look at your own pricing.