How we score cleaning services in Columbia
What this page covers
The Columbia Cleaning Service Guide currently scores 272 cleaning businesses in and around Columbia, from one-person home cleaners to larger commercial crews. Every score comes from the same rubric, applied the same way to every listing. This page explains what feeds the score, why we weight it the way we do, and where the honest limits are.
The five signals, heaviest first
Each business gets a composite score from 0 to 100, built from five measured signals. Here they are in order of weight:
- Sentiment, 28%: a synthesis of what recent reviews actually say, praise and complaints alike, not just whether they're positive or negative.
- Rating, 26%: the business's aggregate star rating on Google.
- Volume, 20%: how many reviews the business has, log-scaled so a company with 400 reviews doesn't automatically dwarf one with 40 quality reviews just because of raw count.
- Recency, 15%: how recently customers have left reviews. A business that was great two years ago but has gone quiet lately gets treated differently from one earning fresh reviews this month.
- Completeness, 11%: whether basic contact information is actually listed and usable, phone number, website, hours, and address.
Why sentiment carries the most weight
Sentiment is weighted heaviest on purpose. A star average hides patterns. Two cleaning services can sit at the same 4.3 stars while one has scattered, unrelated gripes and the other has a stack of recent reviews all mentioning the same thing: missed rooms, no-shows, damaged items, or billing surprises. The star number alone can't tell you which is which. Reading what people actually wrote, and looking for repeated themes rather than one-off complaints, is the only way to catch that difference. That's why we treat sentiment synthesis as more informative than the raw rating it's paired with.
Why the other signals matter
Rating still matters because it's the fastest snapshot of overall customer experience, and it's weighted second-highest for that reason. Volume matters because a 5.0 average built on three reviews tells you far less than a 4.6 average built on 200, so we log-scale it rather than let sheer count run away with the score. Recency matters because cleaning businesses change: staff turns over, management changes, quality shifts, and a great reputation from three years ago isn't a guarantee about next week. Completeness matters in a more practical way: a business without a working phone number or listed hours is harder to actually hire, regardless of how good the cleaning is.
Where scores are less certain
Businesses with few recent reviews don't get penalized outright, but they do get a wider margin of error, and we label those as low-confidence scores. A single glowing review or a single bad one shouldn't carry the same weight as a pattern across dozens of recent customers, and our labeling is meant to make that distinction visible rather than hide it.
We synthesize review themes rather than republishing full review text, and every listing links out to the original source on Google so you can read the reviews yourself and check our read against the original record.
Scores are earned, not sold
Scores come from this rubric and this data, full stop. They are never adjusted for payment. Where paid placement exists anywhere on this site, it is always labeled as such and it never changes a business's score. If a best-of list, such as our residential cleaning list, involved any editorial review of picks or ordering, that is disclosed directly on the page itself. Nothing is quietly curated.
Who maintains this
The rankings are maintained by Kai Ellis, Research Lead. Kai Ellis oversees the rubric's application across all 272 listings and is responsible for how the methodology gets applied in practice. Questions about a specific score or how it was calculated can be traced back to this same rubric, applied consistently, not to case-by-case editorial judgment. You can see the full directory from the home page.
FAQ
- Can a business pay to improve its score?
- No. Scores come only from sentiment, rating, volume, recency, and completeness, as measured. Paid placement, where it exists on the site, is always labeled and never changes a score.
- Why does sentiment matter more than the star rating itself?
- A star average can hide a pattern of repeated complaints about the same issue. Reading what recent reviews actually say is the only way to catch that a business with good stars is still collecting the same complaint over and over.
- What does a low-confidence label mean?
- It means the business has too few recent reviews for the score to be as reliable. We still score it using the same rubric, but we flag it so you know the sample behind the number is thin.
- Do you republish the reviews you use?
- No, we synthesize the themes across recent reviews rather than reposting review text, and we link out to Google so you can read the original source yourself.