Why Guest Reputation Belongs in Hotel Acquisition Due Diligence

A hotel acquisition checklist has looked more or less the same for decades: financials, legal and title, capex reserves, brand or franchise agreements, environmental review. All of those checks matter. But they also have something in common: they look backward. They tell a buyer what has already happened, what is already true on paper, or what has already been budgeted. They do not tell a buyer what may be about to happen next.

There is one source of information in almost every deal that works differently, yet most acquisition teams still treat it as an afterthought: guest reviews. They are public, free, updated every day, and written by the one party in the transaction with no reason to make the asset look better than it really is i.e. the guests staying there right now.

That is why guest reputation belongs in acquisition due diligence. It tends to move first.

• Staff turnover can start appearing in reviews before it becomes obvious in a labor line item.
• Deferred maintenance can surface in complaints before it reaches a capex request.
• A weakening sense of value for money can show up in guest comments months before it starts affecting rate or occupancy.

By the time those issues become visible in the financials, the deal may already be closed.

The Research: Reputation Predicts Financial Performance

This is more than intuition. It has been tested directly. A 2020 study published in the International Journal of Contemporary Hospitality Management asked a straightforward question: does online guest reputation actually connect to hotel profitability, or is it simply a satisfaction metric with little financial weight? Anagnostopoulou, Buhalis, Kountouri, Manousakis, and Tsekrekos analyzed thousands of Booking dot com guest reviews across a sample of UK hotels. They identified the themes that appeared most consistently in positive and negative feedback, then matched those recurring themes against the hotels' actual financial performance records rather than relying only on self-reported satisfaction scores.

The finding was clear: themes that repeat consistently across positive reviews have a measurable, statistically significant relationship with a hotel's bottom-line financial performance. Put simply, what guests repeatedly say about a property is not a side conversation happening next to the business. It is connected to the business itself.

A follow-up study published in the same journal in 2024 by Nicolau, Xiang, and Wang pushed the question further. Rather than treating guest reputation as one fixed score, the researchers looked at how day-to-day changes in review sentiment relate to hotel performance over time. Reputation, in other words, is not a static label attached to a property. It moves, and that movement carries information.

Taken together, the two studies point to a conclusion that is simple but still rarely reflected in acquisition practice: guest sentiment is not just a marketing metric being borrowed for due diligence. It is a financially predictive signal in its own right and deserves serious attention alongside a lease covenant, franchise renewal clause, or capex reserve schedule. Correlation is not certainty, and no single signal should determine a deal. But when a pattern appears consistently across independent studies and different hotel markets, it is difficult to justify leaving it unexamined.

Why the Standard Checklist Misses It

Look closely at what a typical acquisition checklist measures and the gap becomes easier to see.

• Trailing financials tell you what happened over the previous twelve or twenty-four months.
• Legal and title review confirms what is contractually true today.
• Capex reserve schedules show what has been budgeted, not necessarily everything that is actually deteriorating inside the building.
• Brand and franchise agreements govern contractual obligations, not the day-to-day experience a guest has at the property.

None of these inputs were designed to catch a slow reputational decline before it reaches the numbers. That is not a weakness in the documents themselves; it simply is not the job they were built to do. There is also a deeper issue: who controls the information. Financials are prepared by the seller's team. Disclosures are drafted with legal guidance. Capex plans are framed before they enter the data room. Each of these documents passes through a party with a direct financial interest in how the asset is perceived.

Guest reviews bypass that filter. No one vets them before they are published. No one edits them for tone before a buyer sees them. And a seller cannot quietly clean up two years of guest sentiment in the weeks before closing in the same way a P&L can be tidied or a maintenance write-off delayed. That is exactly what makes guest reputation useful in a transaction. It is one of the few major information sources in the room that was never created to support the seller's narrative.

What “Checking Reputation” Actually Means

This is also where informal reputation checks often fall short, even when buyers genuinely want to include them in diligence. Looking at a star rating on Booking, TripAdvisor or Google is not the same as checking reputation. A single number captured at one point in time tells you very little about direction, and direction is what matters. A hotel climbing toward 4.2 stars and a hotel sliding toward 4.2 stars look identical on a listing page today, yet they could mean very different things for a five-year hold. Proper diligence on guest sentiment means asking four sharper questions.

1. Is the trend rising, flat, or declining?

A trailing twelve-month view of sentiment is far more useful than a single current score. Trend direction shows whether the property is improving, holding steady, or eroding i.e. something a static rating cannot reveal, regardless of how many reviews sit behind it.

2. Where, specifically, is the weakness concentrated?

Aspect-level sentiment - separating guest feedback into areas such as staff, maintenance, value for money, amenities, food and beverage, and similar categories - helps show whether a problem is narrow and fixable or broad and systemic. A maintenance-only issue points toward a capex conversation. Maintenance problems combined with staff issues suggest something closer to an operational overhaul. Those two situations require very different underwriting assumptions.

3. Does the underlying trend match the star average, or hide behind it?

Two properties can have almost identical overall ratings while telling very different stories underneath. A star average blends dozens of separate experiences into one number, and that blending can hide meaningful differences.

SENTEEZ's own ABSA (aspect-based sentiment analysis) of the Lake Geneva hotel market shows this clearly. Two properties in the dataset - referred to here as Property A and Property B, in line with our standing anonymization practice for cross-property comparisons - have almost identical overall star ratings, separated by only a few hundredths of a point. On a listing page, they would look like near-equivalent assets.

Once you move beyond the headline rating, however, a 38-point gap appears in Value for Money sentiment alone: one property scores in the low twenties on this measure, while the other is in the low sixties, out of guests reporting positively on the aspect. More importantly, the reasons behind that gap run in opposite directions. Property A performs well on the physical product including amenities and food and beverage but guests repeatedly raise pricing friction:

• rooms that feel dated relative to the rate charged and,
• add-on fees that come as a surprise after booking.

Property B shows the reverse pattern. Feedback on its physical product is more mixed, including aging rooms and mechanical noise, yet it consistently over-performs on staff and service sentiment, with guests describing attentive individual service even where systems and consistency fall short.

Neither property is broadly failing. Each has a specific, identifiable pattern: one leans toward a pricing and product mismatch; the other toward inconsistent service delivery layered over warmer individual interactions. Follow here for complete comparative analysis of Why Do Two Hotels With the Same Star Rating Feel So Different?

A buyer looking at these two properties would enter the post-acquisition period with very different priorities. The overall star rating would not reveal that difference. An aspect-level breakdown does, and it points much more directly to where investment or operational attention should go first.

4. Is there enough data to trust the signal?

A property with thousands of reviews behaves very differently from one with only a few dozen. Thin samples should trigger a flag and a wider data window, not a confident conclusion. Treating a ten-review trend the same way as a thousand-review trend is a diligence problem in itself.

What This Means for Deal Structuring

None of this needs to become a simple pass-or-fail filter. In fact, using it that way would miss much of its value. A declining sentiment trend or a concentrated aspect-level weakness does not automatically kill a deal. It helps inform the deal. Guest reputation can become a legitimate input into how an acquisition is priced and structured, not just whether it goes ahead.

In practice, that can influence several parts of a transaction. A persistent maintenance-sentiment problem may justify a larger capex reserve carved into the purchase price instead of relying solely on the seller's capex schedule. A staff and service pattern that remains visible across a trailing twelve-month period may support a holdback tied to post-close performance rather than simply accepting the seller's assurance that recent hiring has solved the issue.

In either case, aspect-level detail gives the buyer something a generic renovation budget cannot: a specific, evidence-based view of what should be addressed first, based on what guests are experiencing today rather than what a walkthrough happened to reveal on one afternoon.

Used this way, guest reputation data stops being a soft reputational footnote in an investment committee memo. It becomes what the research suggests it can be: a pricing and risk-assessment tool sitting in plain public view, yet still largely unchecked in many current diligence processes.

The Bottom Line

Financials tell a buyer what has already happened. Guest sentiment trend can tell a buyer what may be starting to happen next. One appears on virtually every acquisition checklist in the industry. The other still does not in most deals being underwritten today i.e. even though the data is public, free, and has already been shown to connect directly with the financial performance every buyer ultimately cares about.

Methodology note: Financial-correlation findings referenced above are drawn from Anagnostopoulou, Buhalis, Kountouri, Manousakis & Tsekrekos (2020) and Nicolau, Xiang & Wang (2024), both published in the International Journal of Contemporary Hospitality Management. The Property A / Property B comparison uses SENTEEZ's aspect-based sentiment analysis (ABSA) methodology applied to the Lake Geneva hotel dataset. Property identities are withheld per our standing anonymization policy for cross-property comparison content.