What's Your Competitive Set When You Have No Brand Flag?

Ask a Marriott general manager who their competitive set is, and they'll just pull up a report. STR builds it for them - a defined list of properties, sorted by flag, segment, and market. No guesswork needed.

Ask an independent owner the same question, and you'll usually just get a shrug. "The other hotels nearby," maybe, or "the ones with a similar rating." That's it. That's the entire methodology.

That gap matters more than it looks. Without a real competitive set, you can't price with any confidence. You can't tell whether a renovation is actually worth the spend. You can't even know if you're losing guests to the hotel down the street, or to a completely different kind of property three towns over that happens to be stealing them instead. You're benchmarking against a guess.

The Proximity Trap

Two hotels can share a parking lot and still serve two completely different kinds of guests.

One fills up with mid-week business travelers who just want fast Wi-Fi and an early breakfast. The other books weekend couples looking for a good bathtub and a view. They're neighbors - but they're not competitors.

Physical distance doesn't tell you anything about who a guest is actually choosing between. It only tells you who's nearby. And "nearby" is a real-estate fact, not a competitive one.

This isn't hypothetical, either. Across the Lake Geneva hotels we've studied, towns just minutes apart show wildly different guest-experience patterns. Montreux and Vevey practically sit on top of each other geographically, yet their sentiment profiles don't line up at all. If geography actually predicted competitive similarity, that wouldn't happen.

The Star Rating Trap

Star rating has the exact same problem - it's just dressed up as a number.

A 4.2 and a 4.3 look almost identical. They aren't. One hotel might excel on food and struggle with rooms. The other could be the exact opposite. The average flattens that difference right out. That's the whole problem with averages - they're built to hide the very thing you actually need to see.

Here's a number that proves it. Across Montreux and Vevey - two different towns, two different rating spreads, two different hotel mixes - Maintenance & Upkeep still lands in the same narrow band: roughly 31% positive in both. Same weak spot, despite different overall ratings and different star tiers.

If star rating genuinely predicted a hotel's underlying strengths and weaknesses, that kind of consistency shouldn't show up across towns with different averages. It shows up anyway - because star rating was never measuring that to begin with.

So when you build your comp set around "hotels near my rating," you're sorting by a number that can't actually tell two very different hotels apart. You end up benchmarked against properties that don't resemble you where it actually matters.

What a Real Competitive Set Actually Needs

If location and rating don't work, then what does?

Theme-level profile. Not a single score - the shape underneath it. How a hotel performs on cleanliness, service, value, food, maintenance, and everything else. Two hotels with the same overall rating but opposite strengths aren't each other's competitive set, no matter how close their star ratings happen to sit.

Guest expectation register. A boutique guesthouse and a business hotel down the street operate in completely different expectation worlds, even at similar price points. Their guests are judging them against different standards entirely - and that matters far more than proximity ever will.

Sentiment pattern, not star pattern. The real question was never "who's rated like me." It's "who shares the same profile of strengths and weaknesses that I do." That's a completely different sort, and it produces a completely different list of competitors. Building that list properly is its own methodology - worth a discussion of its own - but the shift in thinking starts here: sentiment data groups hotels far more honestly than geography or star ratings ever could.

What You Lose By Getting This Wrong

The cost of getting this wrong isn't abstract.

Mispriced positioning. You end up comparing your rates and your offering against hotels that were never really your competition - either underpricing against a weaker set, or overpromising against a stronger one you didn't even know existed.

Wrong-target investment. You renovate the pool because "the hotel next door" has a nicer one. Meanwhile, your actual competitive set - three towns over, same guest profile, same price band - is losing guests over breakfast quality, not the pool. You just fixed the wrong thing.

A hidden edge you never find. You might already be beating your real competitive set on the one theme your actual guests care about most. You'd never know it, though, because you were never comparing yourself to the right hotels to begin with.

The Real Question

Your competitive set was never really about where you are. It was never about what you're rated, either.

It's about who guests are actually comparing you to - inside their own heads, in the moment they're choosing between you and somebody else.

That's a harder question to answer than "who's nearby." But it's the only one that's actually worth answering.

So what would a competitive set actually look like if you built it from what guests say, rather than from where a hotel happens to sit on a map? That deserves its own answer - and it's coming next.