Hotel Competitive Set: How to Choose Your Compset

A guide for revenue managers, GMs, and owners at independent hotels — how to build the one input that every other revenue comparison quietly depends on.

Your competitive set — compset, for short — is the group of hotels you measure yourself against: the properties a guest genuinely weighs before booking you. It sounds like a piece of admin you set once and forget. It’s actually the number behind every other number. Get it right and your rate shopping, your benchmarks, and your sense of “are we winning?” all sharpen. Get it wrong and every one of them lies to you with confidence.

This guide is the plain version: what a compset is really for, how to choose one that reflects your actual market, the distinction between a named compset and an anonymous peer pool (they do different jobs), and the mistakes that turn the whole exercise into precise nonsense.

Why the compset is the number behind every number

Almost every comparison a hotel makes routes through the compset. Rate shopping reads your position against it. Benchmarking tells you whether your 75% occupancy was a triumph or a quiet miss — but only relative to a market, and the compset defines that market. Positioning — value option, premium option, the safe middle — is a statement about the set. Even a demand read leans on it: when the whole compset moves rate the same night, that’s rarely coincidence; it’s the market telling you something one property never could.

So an error here doesn’t stay put. Benchmark your 80-room city hotel against the 200-room conference property across town and you’ll conclude you’re losing on rate every month — not because you are, but because you compared yourself to a different business. The wrong compset produces beautifully precise, completely misleading answers. It’s the one input worth getting right before you invest in the tools that consume it.

How to choose your compset

Forget star ratings and marketing tiers for a moment. The compset is defined by one concrete question:

When a guest doesn’t book you, where do they go instead?

That’s it. Your compset is the set of realistic alternatives for your guest, on your dates, in your market. Four filters sharpen it:

• Same demand, not just same location. The hotel next door that runs on conferences while you run on leisure weekends shares your street, not your demand. The compset should rise and fall on the same events, seasons, and booking rhythms you do.
• Same guest job-to-be-done. Business-transient, leisure-couples, tour-groups — a property serving a different guest purpose isn’t a substitute, however close it sits.
• Comparable size and tier — roughly. Close enough that a guest cross-shops you; not so different that the comparison flatters or punishes you unfairly.
• Realistic, not aspirational. The temptation is to benchmark against the property you want to be. That set tells you you’re losing every month and teaches you nothing. Benchmark against who you actually compete with.

Your front desk already knows most of this — they hear “I was also looking at…” every week — and your cancellation reasons fill in the rest. Three to five properties is the working size for most independent hotels: enough to average out one outlier, few enough to stay meaningful. (The compset glossary entry puts the practical range at three to eight.)

Named compset vs. anonymous peer pool

Here’s a distinction most guides skip, and it matters, because your compset actually does two different jobs that need two different kinds of set:

The named compset — for rate and offer tracking. To watch competitor rates, promotions, and guest scores, you need specific, named hotels: these exact three-to-five properties, tracked by name, day after day. This is what rate shopping runs on — you can’t shop an anonymous hotel’s price.

The anonymous peer pool — for performance benchmarking. To answer “is my occupancy good?” you compare against the market’s occupancy, ADR, and RevPAR — the MPI, ARI, and RGI indexes. That comparison works better against a broader pool of similar hotels, and — importantly — it doesn’t need names. In fact it’s healthier without them: a pool matched by country, size, and type, reported as averages and medians, gives you a fair-share read without anyone exposing their numbers to a direct competitor.

The practical upshot: pick your three-to-five named competitors for rate/offer/review tracking, and use a wider peer pool (named or anonymous) for the performance indexes. Confusing the two — shopping five hotels’ rates and then treating those same five as your “market” for RGI — produces a market of five, which is far too small to be a market at all.

The five mistakes that poison a compset

1. The aspirational set. Benchmarking up. It manufactures a permanent losing streak and hides your real performance.
2. Same street, different business. Geography without demand-match. The conference hotel and the leisure inn share a postcode and nothing else that matters.
3. Set once, never revisited. A new competitor opens, an old one rebrands, your own positioning shifts — and your compset silently goes stale. Revisit it at least once a year.
4. Too big, too blurry. Ten “competitors” average into the market mean, which tells you nothing specific. Three to five sharp beats ten fuzzy.
5. A market of five. Using your tiny named rate-shopping set as your performance benchmark. Rate position needs a few named rivals; fair-share indexes need a real pool. Different jobs, different sets.

What the compset unlocks once it’s right

With the set chosen well, the downstream tools finally tell the truth:

• Rate position — where you sit against your real alternatives, and — more usefully — how they move (Competitor Rate Intelligence captures a named compset’s rates as daily snapshots, 120 days out).
• Offer intelligence — not just their price but the promotions they run to win the direct booking, which a rate alone never shows (Competitor Offers).
• The quality half — an identically priced competitor filling faster usually has a guest-score edge worth watching (Reviews Intelligence).
• Fair-share performance — your MPI/ARI/RGI against the peer pool, so a 75% month gets a verdict instead of a shrug. Peaqplus does this with an anonymous pool — matched by country, stars, and type, three-peer minimum, never a named hotel, three months forward (Benchmark; the 75% occupancy piece works a full example).

Same underlying idea — know who you’re really up against — expressed four ways. All four are only as honest as the set beneath them.

How to build yours this week

No tools required to start:

Step 1 — ask the desk. For a week, note every “I was also considering…” your front desk hears. Add the properties your cancellations name.

Step 2 — apply the filters. From that list, keep the three-to-five that share your demand, your guest, and your rough tier. Drop the aspirational ones, however tempting.

Step 3 — write it down, and date it. A compset is a decision, not a vibe. Record the set and why each property is on it — so next year’s review has something to check against.

Step 4 — separate the two jobs. Mark which of the set you’ll track by name for rates and offers, and note that performance benchmarking needs the wider pool (your platform’s, an industry report’s, or — interim — a same-point-last-year self-comparison).

Then revisit quarterly for the first year. Markets move; the set that was right in January quietly isn’t by autumn.

Frequently asked questions

How many hotels should be in my compset? Three to five for rate, offer, and review tracking — enough to smooth an outlier, few enough to stay sharp. Performance benchmarking (fair-share indexes) wants a broader pool. The glossary’s practical range is three to eight named properties.

Can I include the biggest, fanciest hotel in town? Only if your guests genuinely cross-shop it. If they don’t, it’s an aspirational benchmark that manufactures a losing streak and teaches you nothing.

How often should I revisit it? At least yearly, ideally quarterly in a moving market. New openings, rebrands, and shifts in your own positioning all quietly age a compset.

Named competitors or anonymous benchmarking — which is right? Both, for different jobs. Named for rate/offer/review tracking (you can’t shop an anonymous price). Anonymous — or at least a wider pool — for performance indexes, where names aren’t needed and privacy makes hotels more willing to share honest data.

We’re the only hotel of our kind for miles. Now what? Then your “compset” is weaker and your own history does more of the work — same-point-last-year comparison and budget variance carry the load until a real peer set exists. Treat it as the interim setup, not the destination.

Where to go from here

The glossary has the plain definition of compset and the fair-share indexes — MPI, ARI, RGI — that the peer pool feeds. Once your set is chosen, Hotel Rate Shopping covers reading its rates and moves, Hotel Market Intelligence covers the full four-layer picture it feeds, and Is 75% Occupancy Good? covers benchmarking your performance against it. For the whole picture, the hotel data analytics guide puts the compset alongside pickup, pace, and the rest. All of it serves one discipline: hotel revenue management.

Or start with the one question this week: when a guest doesn’t book you, where do they go? Write down the honest answer. That list is your compset — and the foundation every other comparison stands on.