You don't reduce cleanliness complaints by cleaning harder. You reduce them by closing the gap between "cleaned" and "verified clean." Most complaints are not about a turnover being skipped. They are about a specific category the checklist missed, or a problem nobody caught after the cleaner left.

Three moves: decompose your complaints into specific categories instead of treating "cleanliness" as one thing, fix the process behind your top two or three, and review every turnover so problems are caught before the guest, not after.

Cleanliness isn't a review line. It's a ranking lever.

It is worth being precise about why this matters. According to Airbnb's own review system, cleanliness ("Did the home meet our standards?") is one of seven separate star categories guests rate after every stay. A low cleanliness score doesn't sit in its own corner. It drags your overall rating down directly.

It is a discovery lever too. According to Vrbo's cleaning standards page, Vrbo runs a "Highly rated for cleanliness" search filter, so a strong cleanliness rating decides whether some guests ever see your listing at all.

18.2%
According to AirDNA's 2023 data, listings rated 4.9+ earn 18.2% more revenue than lower-rated peers, and per Opago a 0.2-star drop correlates with 5 to 10% fewer page views. The full revenue math is in our star-rating impact analysis.

So a cleanliness complaint is never just a complaint. It is a star category, an overall-rating hit, a search-ranking signal, and eventually a booking you didn't get. The good news: cleanliness is also the most controllable category on that list, because every complaint traces to a specific, fixable operational failure.

Stop treating "cleanliness" as one thing

The biggest mistake operators make is reading "the place wasn't clean" as a single problem and responding with "tell the cleaners to do better." It almost never works, because "cleanliness" is at least seven different failures wearing one label. Each has a different root cause and a different fix. Here is the decomposition.

What the guest says Why it really happens The fix
"There was hair in the bathroom and on the bed."
A detection problem, not an effort problem. The cleaner did the work but no final visual sweep caught what a guest notices in the first ten seconds.
Add a final visual check of beds, shower, and floor as a distinct step after cleaning, with a photo of each.
"The sheets and towels were stained."
A linen problem, not a turnover problem. Stained linens get put back because par levels are too low to reject them.
Raise linen par levels to 3x and make "reject any stained linen" a standing rule, not a judgment call.
"Everything was dusty. The vents and sills especially."
A checklist gap. Sills, vents, baseboards, and fan blades are rarely on a standard turnover list, so they accumulate between deep cleans.
Add dust points to the checklist and set a deep-clean cadence that actually reaches them.
"The mirrors and glass were streaky."
Technically cleaned, visually dirty. Wiped in poor light with the wrong cloth, so streaks only show once a guest opens the blinds.
Standardize the method: microfiber, lights on, check glass and stainless at an angle before leaving.
"It smelled musty / like the last guest."
An air problem, not a surface problem. No amount of wiping fixes trapped odor, and air freshener only masks it for an hour.
Build an air-out step into turnovers: ventilate, run HVAC, wash soft goods on a rotation. Never mask.
"There were crumbs in the drawers and grease on the stove."
A time problem. Inside-the-appliance cleaning is the first thing dropped on a rushed back-to-back turnover.
Protect the time budget for kitchen detail and require photos inside the oven, fridge, and microwave.
"The last guest's trash and leftovers were still there."
A sequencing failure. No final walkthrough, so an entire missed zone ships straight to the next guest.
Make a final walkthrough mandatory: trash, fridge, and every room confirmed empty and reset.

Notice the pattern. Almost none of these are solved by "scrub harder." They are solved by a checklist change, a process step, or a verification photo. Once you decompose your own complaints this way (read the last 20 reviews that mention cleanliness and tag each one), you usually find two or three categories driving most of the volume. Fix those first.

The real lever: close the gap between cleaned and verified clean

Every complaint above shares one thing. It reached the guest because nobody looked in the window between the cleaner finishing and the guest checking in. That gap is where cleanliness complaints are actually born.

Cleaner finishes
Turnover done, photos taken
The gap
Did anyone actually review the work?
Guest checks in
First to spot anything missed

Requiring cleaners to take photos does not close this gap by itself. Photos nobody reviews are a paper trail, not quality control. The loop only closes when someone actually reviews the turnover before the guest arrives, which is exactly the workflow we cover in reviewing turnover photos at scale.

The metric that tells you whether the loop is working is re-clean rate: the share of turnovers caught and redone before a guest arrives. It is the best leading indicator you have, because it measures problems stopped before the guest rather than complaints counted after. Most operators target a re-clean rate under 10%, the same threshold we use for a healthy inspection pass rate. When re-clean rate climbs for a specific cleaner or property, complaints are about to follow.

At scale, make complaints measurable per cleaner

One bad clean is an incident. A pattern is a process. At 100-plus units you cannot manage cleanliness on vibes, so track cleanliness complaints and re-clean rate per cleaner and per property, not just portfolio-wide. According to Hospitable's 2026 Industry Report (554 property managers surveyed), more than a third said staffing issues directly cost them bookings or negative reviews, so knowing exactly which cleaner or vendor drives your complaints is the difference between fixing the problem and guessing at it.

If you run multiple cleaning companies, this is the same accountability data you use to compare and manage them, covered in managing multiple cleaning vendors. Per-cleaner complaint data turns "our cleanliness has slipped" into "this vendor's re-clean rate doubled in March," which is something you can actually act on.

Where RapidEye fits

The gap between "cleaned" and "verified clean" is impossible to close by hand once you are running hundreds of turnovers a week. RapidEye reviews the turnover photos and video from every clean and flags missed hair, residue, staged-item errors, and damage before the guest checks in, so the catch happens inside the gap instead of in a one-star review. Start a free trial.

FAQ

Why do guests complain about cleanliness even when the property was cleaned?
Because "cleaned" and "guest-ready" are not the same thing. Most complaints are not about a skipped turnover. They are about a category the checklist did not cover, or a problem nobody verified after the cleaner left: a missed hair, a streaky mirror, a musty smell no surface clean fixes. Root-cause the category and add a verification step rather than asking the cleaner to scrub harder.
Does cleanliness affect Airbnb and Vrbo ranking?
Yes. Airbnb scores cleanliness as one of seven separate star categories, so a low score drags your overall rating directly. Vrbo runs a "Highly rated for cleanliness" search filter, making it a discovery and conversion lever too. A lower overall rating means fewer page views and bookings.
What is the most common cleanliness complaint?
Hair (bathroom, drain, bed) and visible residue on glass and surfaces, because they are what a guest notices instantly even after a thorough deep clean. These are detection problems: the work got done but no final visual sweep caught what the guest sees first.
What is a re-clean rate and what is a good benchmark?
The percentage of turnovers that fail inspection and get redone before a guest arrives. It is the best leading indicator of cleanliness complaints because it measures problems caught before the guest, not after. Most operators target under 10%, and a rising rate for one cleaner or property is an early warning.
How do I reduce cleanliness complaints across a large portfolio?
Decompose complaints into specific categories and fix the process behind the top two or three. Close the gap between "cleaned" and "verified clean" by reviewing turnover photos for every clean. And track complaints and re-clean rate per cleaner and per property so the problem is measurable and accountable.

Sources

  1. Airbnb. How star ratings work. Cleanliness is one of seven rated review categories ("Did the home meet our standards?").https://www.airbnb.com/help/article/1257
  2. Vrbo. About vacation rental cleaning standards. References the "Highly rated for cleanliness" search filter and high-touch surface guidance.https://help.vrbo.com/articles/About-vacation-rental-cleaning-standards
  3. Hospitable / Rental Scale-Up. Short-Term Rental Cleaning Staff Shortages (2026 Industry Report). Survey of 554 property managers; more than a third lost bookings or got negative reviews due to staffing.https://www.rentalscaleup.com/why-finding-reliable-cleaners-is-getting-harder-and-why-it-likely-wont-improve-in-2026-short-term-rental-cleaning-staff-shortages-2026/
  4. AirDNA (2023) and Opago, via our star-rating impact analysis. 4.9+ listings earn 18.2% more revenue; a 0.2-star drop correlates with 5 to 10% fewer page views.https://rapideyeinspections.com/blog/airbnb-star-rating-impact-on-bookings/