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Guest Experience Insights

Is It Your Hotel or Your Market? How to Separate Local Problems from Structural Ones

A weak guest score can mean your hotel has a problem or your whole market does, and the fix, budget and upside differ in each case. Using SENTEEZ town-level benchmarks across four Swiss markets, this article shows how three tests sort a weak score into market-wide, hotel-specific or tier-specific. It also covers what the diagnostic can’t tell you, and a three-step checklist for acting on the result.

SENTEEZ

SENTEEZ

Guest Experience Insights

Published Oct 27, 2026
8 min read
Is It Your Hotel or Your Market? How to Separate Local Problems from Structural Ones

Key findings at a glance

  • Maintenance & Upkeep is positive in only 24.1% (Interlaken), 24.7% (Lucerne) and 25.2% (Lausanne) of Review Mentions. In Lucerne it’s the lowest-scoring aspect for 20 of the 22 hotels reporting it, and none scores above 43%.
  • Value for Money is a different kind of problem. In Interlaken the top third of hotels score 68.1% against 38.1% for the bottom third. In Lucerne even the top third reach only 55.0%.
  • Noise Levels in Lucerne are hotel-specific: 68.6% for the top third of hotels against 33.1% for the bottom third.
  • In Lausanne, Value for Money is a tier pattern: 40.8% at the four palace-tier hotels against 52.6% across the 21 mid-market hotels, an 11.8-point gap.
  • A score of 50% on Value for Money is ahead of Lucerne (44.4%), level with Lausanne (50.8%) and about 23 points behind Zermatt (72.7%). The same number means different things in different towns.

Your score is 25%. Is that bad?

Imagine you manage a hotel in Lucerne, and your latest guest sentiment report shows Maintenance & Upkeep at 25% positive. It looks alarming, and the instinct is to call a meeting.

Then you look at the town. Across all of Lucerne, Maintenance & Upkeep is positive in 24.7% of Review Mentions, built on 1,640 mentions from 22 hotels. You’re not behind the town. You are the town.

Now imagine the same hotel scores 25% on Noise Levels. The Lucerne figure for Noise is 51.0%. That 26-point shortfall is a different story, and it points to a different decision. The raw percentage is identical. The diagnosis isn’t.

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This article is about how to make that diagnosis. A weak score is only half a finding. The other half is knowing whether it belongs to your hotel, your tier or your market.

Why the distinction changes what you do

The two cases call for different responses and offer different rewards.

  • A hotel-specific problem is one your competitors have already solved. Fixing it closes a gap and stops you losing guests and reviews to the hotel next door.
  • A market-wide problem is one almost everyone shares. Fixing it doesn’t close a gap, because there isn’t one. It opens a gap in your favor, which makes it a differentiation decision with a cost and a payoff, not an emergency.
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Confusing the two is expensive in both directions. Treat a market-wide pattern as an emergency and you can spend a quarter chasing a score no hotel in town has reached. Treat a hotel-specific problem as “just how this town is” and you leave a fixable gap open to every competitor who has already closed it.

SENTEEZ benchmarks work on a simple hierarchy: hotel, then aspect, then town benchmark, then cross-town benchmark, then comp set. Our earlier piece, Guest Experience Benchmarking Across Swiss Hotel Regions: What Actually Repeats, made the case for comparing a hotel with its own town’s baseline first. This article goes a step further and adds two more tests, because a baseline alone can’t tell you whether a weak score is fixable.

The three-test diagnostic

For any weak aspect, run three comparisons in order. Every figure should come with its coverage, meaning the Review Mentions behind it and the number of hotels reporting.

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Test 1: The baseline test. Where do you sit against the town?

Compare your score with the town benchmark for the same aspect. As a working guideline, not a statistical rule: if you’re within about five points of the town figure, you’re in line with the market. If you’re ten or more points below it, treat the problem as yours until the evidence says otherwise. If you’re well above it, you have a lead worth protecting.

Test 2: The ceiling test. Where do the best hotels in town sit?

Sort the town’s hotels by rating, split them into thirds, and look at how the top third scores on the same aspect. If even the best-rated hotels sit close to the town figure, the whole market is stuck at a low ceiling, and the weakness is structural. If the top third scores 15 or more points above the town, someone has solved it, and so can you.

Test 3: The tier test. Is your tier different from the rest of the town?

Sometimes the pattern belongs to a segment, not the town. Compare your score with hotels of a similar tier, such as palace-level, mid-market or budget. If the tier scores differently from the rest of the town, the issue may be about expectations at that price point, not about the building or the service.

Put the three results together and the diagnosis usually falls into one of four patterns.

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The thresholds are working guidelines, not statistical rules. Always show Review Mentions and hotels reporting beside every figure.

Case 1: A market-wide weakness. Maintenance & Upkeep

Maintenance & Upkeep is the clearest structural pattern in the SENTEEZ data. Three towns with solid coverage land in the same narrow band.

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Zermatt is excluded from this comparison: only 2 of its 45 hotels report Maintenance & Upkeep, which is too thin to read in either direction.

Run the three tests on Lucerne, where we hold the per-hotel data.

  • Baseline. The town figure is 24.7%. Of the 22 hotels reporting the aspect, 16 sit within ten points of it, and 19 sit below 35%.
  • Ceiling. Maintenance & Upkeep is the lowest-scoring aspect in the profile of 20 of the 22 hotels that report it, and none scores above 43%. By thirds, the top-rated hotels average 34.4%, the middle group 27.5% and the bottom group 18.8%. The top-third figure rests on only four hotels and 214 mentions, so it’s an indication, not a firm number. Even so, the best-rated hotels in town are nowhere near the levels they reach on Staff (88.2%) or Room Quality (85.6%).
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  • Tier. The pattern holds in every rating tier. It’s not a budget-hotel problem, and it’s not a luxury problem.

That’s what a market-wide weakness looks like: a low baseline, a low ceiling and no tier that escapes it.

Two cautions keep this honest. First, “market-wide” doesn’t mean “unfixable.” Ceilings differ by town: no Lucerne hotel scores above 43% on this aspect, while the best Interlaken hotel reaches 77%. Someone has done better, even if they’re rare. Second, an earlier SENTEEZ analysis based on 15 Lucerne hotels read this aspect at about 30%. With all 39 hotels in the dataset, the figure is 24.7%. The pattern strengthened as the sample grew, which is what a real pattern does and what noise doesn’t.

What guests describe behind these scores is worth knowing too. In both Lucerne and Interlaken, recurring patterns in the reviews point to cooling and climate control (no air conditioning, or units that fail), aging rooms, bathroom and plumbing faults, and building works. Themes are signals, not proof of cause, but they suggest where an operator who wanted to stand out would start. In Lucerne, cooling shows up behind weak scores on Value for Money and Noise Levels as well, so one investment can touch more than one score.

Case 2: A hotel-specific problem. Value for Money and Noise

Value for Money looks like a weakness almost everywhere, and in a sense it is: it scores below 51% in six of the seven towns we cover. The three tests show that it isn’t the same weakness in every town.

Here’s how the thirds compare in the two largest datasets by review volume. The Interlaken figures are the published SENTEEZ figures. The Lucerne figures are recomputed from the per-hotel data.

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Thirds are formed by sorting each town’s hotels by SENTEEZ rating. Figures in brackets are hotels reporting the aspect in each third. Gap figures are calculated from unrounded values. Town figures: Value for Money in Interlaken 47.5% (2,022 mentions, 38 hotels), Value for Money in Lucerne 44.4% (1,882 mentions, 29 hotels), Noise Levels in Lucerne 51.0% (2,163 mentions, 30 hotels).

Value for Money in Interlaken is a hotel-specific problem. The top third scores 68.1% and the bottom third 38.1%, a 30-point spread inside a single town. The ceiling is high, which means some hotels have worked out how to make the room match the rate. The qualitative themes from Interlaken point the same way: the complaints are about the room and the receipt, meaning dated rooms and missing basics on one side and surprise charges on the other. Those are things an individual hotel controls.

Value for Money in Lucerne looks different. Of the 29 hotels reporting it, 28 score below 70%, and the top third plateaus at 55.0%. The ceiling is low. Your score would need to be well below the top-third figure, not just below the town figure, before it clearly belongs to your hotel. Realistic targets in Lucerne are in the fifties, not the nineties.

Noise Levels in Lucerne is the clearest hotel-specific case. The town figure is 51.0%, but the top third scores 68.6% and the bottom third 33.1%. Eleven of the 30 hotels reporting the aspect sit below 50%, while four score 80% or higher. A hotel at 33% isn’t sharing a market pattern. It’s falling behind hotels in the same town that have found an answer. Recurring themes include building acoustics, street and nightlife sources, construction, and open windows in hot weather when cooling is missing.

Case 3: A tier-specific pattern. Palace vs. mid-market in Lausanne

Sometimes the dividing line isn’t the town but the price point. In Lausanne, the four palace-tier hotels score 40.8% positive on Value for Money, built on 206 mentions. The 21 mid-market hotels score 52.6%, built on 1,158 mentions. That’s an 11.8-point gap, and it’s a tier pattern, not a town-wide one.

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For a palace-tier operator, the baseline test alone would be misleading. The town figure of 50.8% makes a 40.8% score look like a ten-point problem. Against its own tier it’s the norm. For these hotels the real question isn’t “what did the hotel next door fix?” but “what does our rate promise, and what does the room deliver?” That’s a positioning question, and it needs a different kind of answer than a maintenance schedule.

The same score means different things in different towns

The reason for starting with the town benchmark is that baselines differ widely. Here’s Value for Money across the SENTEEZ markets with solid coverage.

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A hotel scoring 50% on Value for Money is ahead of the town in Lucerne, level with the market in Lausanne, and roughly 23 points behind in Zermatt. Same number, three diagnoses. Without the town benchmark, the percentage tells you almost nothing.

Three hypothetical operators

To make the tests concrete, here are three operators in Lucerne. They’re hypothetical, not real hotels, and the scores are chosen for illustration.

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Operator 1’s score isn’t why it’s losing guests to a rival. Fixing it would be a differentiator, so it should be weighed on cost and payoff, and the cooling and plumbing themes show where to look first. For Operator 2, a realistic goal is the fifties, and the work is matching room, amenities and rate, not chasing the nineties. Operator 3’s problem is hotel-specific and fixable, because other Lucerne hotels have already solved it.

What this diagnostic cannot tell you

Four honest limits apply.

  • Thin coverage. Aspects with fewer than 50 Review Mentions or fewer than three hotels are too thin to benchmark. Several of the thirds figures above rest on only a handful of hotels, and the text says so where it matters. Zermatt’s Maintenance & Upkeep figure is excluded for the same reason.
  • Themes are signals. The qualitative patterns suggest where to look. They don’t prove cause, and the mention counts behind individual themes are samples, not totals.
  • Reviews are what guests say. The data comes from public reviews and describes what guests say, not what happens inside a hotel. It should be read alongside STR and PMS data, not in place of them.
  • Thresholds are guidelines. The five-point, ten-point and fifteen-point rules of thumb are there to structure the reading. They aren’t statistical tests.
Start with one competitor, then widen the lens
The free SENTEEZ teaser report compares your hotel with one competing hotel and shows where you win and lose. The deeper town and tier benchmarking described in this article is the next step. The teaser is delivered within 48 hours, with no commitment.
Get your free teaser report →
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  1. Find your gap against the town. Pull your score and the town benchmark for the same aspect, with Review Mentions and hotels reporting. Within about five points means level with the market. Ten or more below means treat it as yours.
  2. Find the ceiling and your tier. Check where the top third of hotels in town score, and where hotels in your tier score. A high ceiling means fix it. A low ceiling means decide whether it’s worth the cost to stand out.
  3. Choose: fix, differentiate or reposition. Fix hotel-specific gaps first. Treat market-wide weaknesses as optional investments. Treat tier patterns as questions about what your rate promises.

As always, a strong average is a hiding place, not a finding. So is a weak one: until you know the town, the ceiling and the tier, a low score tells you where to look, not what to do.

Frequently Asked Questions

Key answers regarding hospitality sentiment diligence and data methodology.

Because some weaknesses are shared across a market. Aging buildings, climate and local price levels can affect every property, and guests judge them against the same expectations. In Lucerne, Maintenance & Upkeep is positive in only 24.7% of Review Mentions, and none of the 22 hotels reporting it scores above 43%.
Across the seven Swiss towns SENTEEZ analyzes, two of the weakest-scoring recurring aspects are Maintenance & Upkeep and Value for Money. Maintenance is positive in only 24% to 25% of Review Mentions in Interlaken, Lucerne and Lausanne, and Value for Money is below 51% in six of the seven towns.
Compare your score with the town benchmark for the same aspect, then with the top third of hotels in town, then with your own tier. If you sit near the town figure and even the best hotels score low, it’s a market pattern. If you trail the town and the best hotels score far higher, it’s yours.
No. Ceilings differ by town: no Lucerne hotel scores above 43% on Maintenance & Upkeep, while the best Interlaken hotel reaches 77%. Someone has done better, even if they’re rare. Because no gap exists to close, fixing a market-wide weakness is a differentiation decision with a cost and a payoff, not an emergency.
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