Data
Online reviews statistics 2026: what 1,387,989 real reviews show
On 2026-09-15 our production database held 1,387,989 published reviews belonging to 3,746 businesses across 53 review sources. 85.3% of them carry five stars, 3.7% carry one star, and everything in between accounts for 10.4%. Those are the online reviews statistics for 2026 as they exist inside a working corpus rather than in a survey, and the useful finding is not the headline average. It is that the average is assembled from rating scales that do not match: three of our five largest sources are structurally incapable of producing a four-star or a two-star review.
What is being counted
Every number below comes from one table in one database, queried on 2026-09-15. When a business connects a source to its account, we copy the reviews into our own storage so that a page keeps rendering when the source has a bad afternoon. The side effect is a corpus: 1,391,857 rows, of which 1,387,989 are currently published and counted here. The rest are hidden by their owner or held back by a plan limit.
This is a census, not a panel. It covers businesses that decided to display reviews on their own website, so it over-represents sources with a self-serve connect flow and under-represents anything that needs a sales call. It says nothing about businesses that never collected a review. Read every figure as “among businesses already doing this”, and it holds up; read it as “among all businesses”, and it does not.
The distribution has no middle
| Rating | Reviews | Share |
|---|---|---|
| 5 stars | 1,184,037 | 85.3% |
| 4 stars | 91,768 | 6.6% |
| 3 stars | 35,087 | 2.5% |
| 2 stars | 18,370 | 1.3% |
| 1 star | 50,849 | 3.7% |
| Fractional value | 7,846 | 0.6% |
| No rating stored | 32 | 0.0% |
The shape is the first thing worth noticing. This is not a bell curve with a positive skew, it is two spikes with a gap between them. One star is nearly three times as common as two stars, and four stars is more common than three and two combined. People who bother to rate at all tend to rate at an end point, which is why a profile full of threes and fours looks stranger to a reader than a profile with a few ones in it.
The fractional row is a detail with consequences. 7,846 reviews carry a value like 4.67 or 4.33 because the platform never asked for a star in the first place. 6,769 of them come from Allegro and 1,026 from Booking.com, both of which publish an average of several sub-scores. If you compute “our average rating” by counting stars, those rows either break the arithmetic or get silently rounded into a bucket where they do not belong.
Three of the five biggest sources do not use five points
This table is sorted by how critical the source’s reviewers actually look, worst rating first. The column that explains most of the order is not the businesses, it is the number of rating values the platform lets anyone pick.
| Source | Reviews held | Rating values in use | 5 stars | 4 stars | 3 stars | 2 stars | 1 star | Mean |
|---|---|---|---|---|---|---|---|---|
| Amazon (amazon.com) | 121,065 | 5 | 69.6% | 15.6% | 6.6% | 3.3% | 5.1% | 4.41 |
| Yelp | 2,537 | 5 | 75.6% | 9.1% | 3.7% | 3.7% | 8.0% | 4.40 |
| Capterra | 6,697 | 5 | 77.2% | 18.3% | 3.0% | 0.5% | 1.0% | 4.70 |
| 390,095 | 5 | 85.9% | 7.4% | 2.1% | 0.9% | 3.8% | 4.71 | |
| Etsy (etsy.com) | 23,269 | 5 | 91.1% | 5.6% | 1.6% | 0.6% | 1.2% | 4.85 |
| Tripadvisor | 12,812 | 5 | 91.1% | 5.7% | 1.5% | 0.7% | 0.9% | 4.85 |
| Google Shopping | 16,172 | 5 | 91.2% | 7.5% | 0.6% | 0.2% | 0.5% | 4.89 |
| 49,150 | 2 | 96.4% | none | none | none | 3.6% | 4.86 | |
| First-party form | 2,197 | 5 | 97.6% | 1.9% | 0.1% | 0.0% | 0.4% | 4.96 |
| Booksy | 29,081 | 5 | 98.4% | 0.8% | 0.2% | 0.2% | 0.4% | 4.97 |
| eBay (ebay.com) | 204,804 | 3 | 98.6% | none | 0.7% | none | 0.7% | 4.96 |
| Allegro | 209,539 | 5 plus averages | 99.4% | 0.4% | 0.1% | 0.0% | 0.1% | 4.99 |
Facebook is the cleanest example. Across 49,150 Facebook reviews there is not one four, three or two, and there never can be, because the platform asks a yes-or-no question and we store the yes as five and the no as one. Its 96.4% five-star rate is a measurement of how many people clicked “Recommends”, not of how many people were delighted. eBay works the same way with three buckets: 201,950 positives, 1,442 neutrals, 1,412 negatives, and a permanent zero in the four and two columns. Allegro’s whole-star percentages above are calculated on the 202,770 rows that carry a whole star; its remaining 6,769 rows are averages, and Facebook’s percentages exclude three rows with no rating at all.
Amazon’s US marketplace is the only large source in the corpus whose reviewers use the whole instrument: 15.6% fours and 6.6% threes are real signal, and its 4.41 mean is the lowest of any source with more than a hundred thousand reviews. Yelp is lower still at 4.40, driven by an 8.0% one-star rate that is more than double Google’s. If you have ever wondered why the same business looks better on one platform than another, this table is most of the answer, and it is also why blending several sources into one headline average quietly rewards whoever connected Facebook and a marketplace.
The last row worth staring at is the first-party one. 2,197 reviews arrived through a form the business controls, and 97.6% of them are five stars, a higher rate than Google, Etsy, Tripadvisor or Yelp. Nothing sinister is happening: businesses ask happy customers. It is a good argument for showing collected reviews next to public ones rather than instead of them, because a page made only of reviews you solicited reads exactly like a page made only of reviews you solicited.
The weekly rhythm belongs to one marketplace
Reports on “when customers leave reviews” usually chart the whole dataset at once. Ours does too, and it produces a confident-looking wave. The table below covers the twelve months to 2026-08-31, 78,988 reviews by the date the review itself carries.
| Weekday | All sources | eBay | Allegro | |
|---|---|---|---|---|
| Monday | 19.6% | 14.2% | 29.7% | 14.8% |
| Tuesday | 16.1% | 15.0% | 17.5% | 17.3% |
| Wednesday | 11.3% | 15.2% | 3.9% | 17.1% |
| Thursday | 11.9% | 16.4% | 4.8% | 15.8% |
| Friday | 22.3% | 15.4% | 35.4% | 13.4% |
| Saturday | 9.9% | 12.3% | 5.2% | 10.5% |
| Sunday | 8.8% | 11.5% | 3.4% | 11.0% |
| Spread, high to low | 13.5 pts | 4.8 pts | 32.0 pts | 6.8 pts |
The aggregate says Friday is twice as active as Wednesday. Google says the week is nearly flat, varying by 4.8 points across seven days. Allegro varies by 6.8 points and Booksy by 7.9. eBay varies by 32.0 points and puts 65.1% of a year’s feedback on a Friday or a Monday, which is not how people shop. eBay supplies 28,395 of those 78,988 reviews, so its batching drags the whole aggregate into a pattern no individual source has.
The monthly view fails in the same direction, harder. July 2026 holds 22,111 reviews, 28.0% of the entire trailing year, which would be an extraordinary seasonal peak if it were one. 17,728 of them are eBay, 80.2% of the month. Remove that one backfill and July becomes 4,383 reviews, an ordinary month in a range that otherwise runs from 3,618 to 7,093. Anyone publishing our raw monthly chart as “review seasonality” would be publishing a picture of our own import queue.
The yearly curve is a history of connections
By review date, the corpus climbs from 18,510 reviews in 2015 to a peak of 278,974 in 2021, then falls every year since: 190,358 in 2022, 144,943 in 2023, 115,376 in 2024, 90,326 in 2025 and 56,996 so far in 2026. One year, 2021, accounts for 20.1% of everything we hold.
The tempting headline is that people write fewer reviews than they used to. We do not believe our own data says that, and neither should anyone quoting it. Marketplaces cap how long feedback stays visible on a seller profile, so old years keep what was already captured while recent years only contain businesses currently connected. Accounts churn and take their reviews with them. Large sellers joined in a cluster around 2021 and arrived carrying a decade of history at once. The curve is a picture of when businesses connected sources to us, wearing the costume of a trend about consumers. It is the single most quotable chart in this article and the one we would refuse to let anyone quote.
Language tells a quieter version of the same story. Across all 1,391,857 rows, 56.7% are English, 19.3% Polish, 9.4% German, 4.0% Italian, 2.8% French, 2.7% Spanish, 1.8% Dutch and 1.1% Portuguese. That is a map of where our customers sell, not of where reviews get written, and it is also a practical warning: a business trading in three countries that filters its widget to one language is hiding most of what it earned.
How we handle this in the product
We keep every review as its own row with its own source, rating and date, and we do not blend sources into a single score behind your back, which is the reason the numbers in this article were answerable at all. A page can show Google and a marketplace side by side with their real counts, each source keeps its own scale, and the reviews render from our copy rather than from a live call to a platform that may be slow or gone. Setting that up is the Google reviews widget most people arrive for; the full list of what can be connected is in the supported sources docs, and plans are on pricing. You can also create an account and connect one source to see your own distribution instead of this one.
The honest limits of that, in the same breath. We cannot repair a scale the platform never offered: a Facebook review will arrive as a five or a one no matter what we do with it, and a business whose reviews are mostly on Facebook and eBay will always look statistically better than one whose reviews are mostly on Amazon. We also cannot tell you what your rating would be on a platform you are not on. What we can do is stop the blending that makes those differences invisible, and show the per-source counts that explain why review counts rarely match between a platform and a widget.
Caveats worth carrying into any quote
This is a snapshot taken on 2026-09-15 and the rows move daily. It counts published reviews only, so anything an owner hid or a plan limit locked is outside every figure. Sources with a few thousand rows, Yelp and Capterra in particular, describe the handful of businesses that connected them rather than the platform as a whole. A small number of rows carry an unparseable date that lands outside any plausible year and survives in the totals while contributing nothing to the yearly table. And the deepest caveat is the one running through the whole article: every review statistic anyone publishes, including ours, is first a statistic about how the data was collected. Which sources still deliver anything at all is a separate measurement, and we ran that one against the same corpus.
FAQ
What percentage of online reviews are 5 stars in 2026?
85.3% in our corpus, measured on 2026-09-15 across 1,387,989 published reviews belonging to 3,746 businesses. One star accounts for 3.7%, and everything in between adds up to 10.4%. That single figure hides more than it explains, because it blends sources with different scales. Counting only sources where reviewers can actually pick any value from one to five, the five-star share ranges from 69.6% on Amazon's US marketplace to 99.4% on Allegro. Facebook cannot produce a two, three or four at all, and eBay cannot produce a two or a four, so both inflate any blended five-star percentage by construction rather than by sentiment.
What is the average star rating of a business online?
There is no single honest answer, because the scales are not comparable. Restricted to whole-star ratings, the mean in our data is 4.71 on Google, 4.41 on Amazon's US marketplace, 4.40 on Yelp, 4.70 on Capterra, 4.85 on Etsy and Tripadvisor, and 4.96 or higher on eBay, Booksy and Allegro. The spread has more to do with what the platform asks the customer than with how good the businesses are. If you need one number for a benchmark, use the average for the specific source you are being compared against, and check how many rating values that source actually lets people choose.
Do people leave more reviews on certain days of the week?
Far less than aggregated charts suggest. Over the twelve months to 2026-08-31 our whole corpus looks strongly cyclical: 22.3% of reviews are dated Friday against 11.3% on Wednesday. Split by source, that wave almost disappears. Google reviews vary by only 4.8 percentage points between the busiest and quietest weekday, Allegro by 6.8 and Booksy by 7.9. eBay varies by 32.0 points, with 65.1% of its feedback landing on Friday or Monday, and eBay alone supplies 28,395 of the 78,988 reviews in that window. The weekly rhythm most reports describe is a batch process, not a human habit.