Where the same product is rated twice
Every figure below is one of two averages for the same product — one from buyers at companies with fewer than 1,000 employees, one from buyers at companies of 1,000 and above. Neither is the figure this channel publishes on its category pages, which blends the two in whatever proportion a category happened to attract. The eight platforms here span commerce, search, messaging, post-purchase, reviews, analytics, content management and customer service, and they were chosen because each has enough ratings in both groups to carry a decimal on both sides rather than because of what they show. Each row below prints a platform’s under-1,000 average on the left and its 1,000-and-above average on the right, whichever way round the two dots fall on the scale between them.
companies under 1,000 employees companies of 1,000 and above
| Platform | 6 7 8 | ||
|---|---|---|---|
| 5.6 | 6.8 | ||
| Ecommerce platform. Tied for the widest movement here. | |||
| 6.1 | 7.3 | ||
| Hosted search and discovery. The other of the two widest. | |||
| 5.9 | 6.9 | ||
| Enterprise messaging suite. Most ratings come from the larger group. | |||
| 7 | 7.8 | ||
| Post-purchase tracking and returns. The groups are evenly split. | |||
| 6.5 | 7.3 | ||
| Reviews, loyalty and messaging in one platform. | |||
| 6.1 | 6.9 | ||
| Web analytics, and the most-rated product in the corpus. | |||
| 6.9 | 7.4 | ||
| Customer service platform. The narrowest movement here. | |||
| 7.6 | 6.9 | ||
| Content management. The only platform here rated higher by the smaller group. | |||
Read down the scale rather than across the rows and the shape is hard to miss. A dot further right is a higher rating on every row, so the open dot sitting left of the filled one means a platform rates higher with the larger group — and it does so on seven of the eight. Every one of the eight differs by at least half a point between its two groups, and two differ by more than a full point. WordPress is the row where the dots swap.
Why this is not a story about small companies being harder to please
That was the first explanation worth ruling out, because it would make every figure above meaningless. If buyers at smaller companies simply marked everything down, the movement would be a property of the rater and there would be nothing here about any platform. So we measured it: across every product the two groups rate, their aggregate averages differ by only about 0.03 points. That argues against a simple explanation in which smaller-company buyers systematically give software lower scores.
Against that nearly identical aggregate average, the product-level differences are substantial: two exceed a full point, while the direction reverses for WordPress. That reversal is further evidence against a universal rule in which smaller-company buyers simply score software lower — and it is the useful part of the finding rather than a blemish on it.
The counter-current: a product name is not always the same product
The sharpest case against reading these gaps as a verdict on the platforms is that a single product name can cover different editions, deployment models and implementations. The corpus records the product a buyer named rather than systematically separating every tier or deployment model, so some of the observed gap may reflect differences in the editions, deployments or implementations grouped under the same product name. Two further cautions. These are satisfaction averages, not fit assessments — none of them tells you whether a platform handles your volume or your team. And the movement varies more than twofold across the eight, so ratings shift with size describes a range, not a correction anyone can apply.
What this means for your shortlist
A rating split to companies like yours is closer to a peer benchmark than a corpus average, and it is still an average built on fewer ratings. Our read, not a practice buyers describe, is to ask who is behind a number before letting it shorten a list, because on this page the same product can carry average ratings more than a full point apart between the two company-size groups. Where a platform's rating draws mostly from companies far larger or far smaller than yours, that is worth knowing before the demo rather than after the contract.
Want this read against your own stack?
Get my read →The narrow version is this. A published rating tells you that a product satisfies its buyers on average; it does not tell you that those buyers resemble you, and on the evidence here the difference can exceed a full rating point for the same product. That does not make the number useless — it makes it one input, best used to decide what to test rather than what to buy. The questions that actually separate two finalists are the ordinary ones nobody can look up: what your volume does to the bill, who has to operate the thing week to week, and how it sits beside what you already run.
For which tools each size of company actually runs, see how company size shapes the stack; for the same split inside one category, which SMS platform SMBs rate highest. For how shortlists get built in the first place, how software buyers actually find vendors.
Common questions
Does a software rating apply to companies of every size?
Often not, and the gap can be large. Splitting verified buyer ratings at 1,000 employees, all eight platforms on this page differ by at least half a point between the two groups, and two of them differ by more than a full point. A published average is a blend of both groups in whatever proportion a category happened to attract, so it describes the mix rather than either group. Our read, not a practice buyers describe, is to treat a single rating as a starting point and ask who is behind it before letting it shorten a list.
Why does the same software get different ratings at different company sizes?
The interviews do not settle the cause. One possible contributor is that the same product name can cover different editions, deployments, implementations and use cases at different company sizes, which this analysis does not fully separate. What the data does rule against is the simplest explanation: smaller-company buyers do not systematically give software lower scores overall. Across every product the two groups rate, their aggregate averages differ by only about 0.03 points.
Why does WordPress rate higher with smaller companies?
WordPress is the one platform on this page that moves that direction, rating 7.6 among companies under 1,000 employees against 6.9 from companies of 1,000 and above. The interviews do not explain it. One possible contributor is the limitation that applies across this page: a single product name can cover very different installations, and the corpus records the name a buyer gave rather than the deployment. It is worth reading as a caution against the tidy version of the finding rather than as a recommendation — the direction is not uniform, so there is no rule here about small companies and software.
Should I trust a published software rating for my company size?
It is a starting point rather than a peer benchmark. A figure split to companies like yours is closer to a company-size-matched benchmark than a corpus average, though it remains an average and the number of ratings behind it still matters. The practical limit is that no rating on this page is a fit assessment: a satisfaction average does not tell you whether a platform handles your volume, your team size or the stack you already run. That is the part that has to be tested rather than looked up.
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