Among the lowest rates we track — but the wins are among the biggest. Social proof changes — reviews, ratings, logos, counts — win 8% of the time, one of the lower published rates. 80% change nothing measurable. When one does land the median moves +32.5%, among the larger effects in this data — a large effect earned rarely.
A wide gap between how often social proof is recommended and how often it moves the number. Add it because it is true and useful, not because you expect a lift.
| Tests analysed | 100+ |
| Beat control | 8% |
| No measurable difference | 80% |
| Lost to control | 12% |
| Median lift when it won | +32.5% |
Typical winning range: +22.9% to +62.1% for the middle half of winners. Median traffic per variant was 2122 visitors. Most ran on homepages (61), product pages (61), other pages (18).
Testimonials, star ratings, customer logos, user counts or review snippets are added, moved or removed.
Adjacent categories, and how often they win: layout (15%), hero image (12%), styling (11%).
| page type | win rate | tests |
|---|---|---|
| homepages | 10% | 50+ |
| product pages | 11% | 50+ |
Only page types with at least 30 social proof tests appear here.
A new buy now, pay later message with a checkmark icon was added above the app button.
The accordion groups were reordered, the second group was opened by default, and a new rating list item was added to that group.
A fixed social-proof bar with icons, titles, and descriptions was added below the header and hidden on mobile widths.
A dismissible promotional banner announcing a free Flex-Option offer was added above the content, and items already marked with the flex option were hidden.
A ratings badge image was added above the main heading, and the existing logo and rating section was hidden.
It added a social proof widget with random viewer and cart counts above the product description.
The cart added a free-shipping progress banner that showed how many more units to add and included quick-add buttons, then showed a persistent confirmation message once the threshold was reached.
It replaced the native product badge images with custom styled label badges such as exclusive, going soon, and new price near products.
It added a new block under the main content area with icons and short text about trust and benefits.
These are individual tests, not rules. Each ran on one site, with one audience, against one page we are not showing you. They are picked to be illustrative rather than sampled at random, and a change that won here can lose on your page for reasons none of this captures. Read them as prompts for what to test, not as findings to copy.
Social proof competes for attention with everything else on the page rather than replacing it. Adding a block of reassurance does not remove a reason to hesitate; it hopes to outweigh one. That is a weaker mechanism than removing friction or changing what gets seen first.
| change type | win rate | tests |
|---|---|---|
| CTA colour | 16% | 32 |
| Layout | 15% | 351 |
| Form | 12% | 81 |
| CTA copy | 12% | 315 |
| Hero image | 12% | 160 |
| Price framing | 11% | 117 |
| Styling | 11% | 1414 |
| Split URL | 10% | 1165 |
| Headline | 8% | 918 |
| Social proof (this page) | 8% | 196 |
| Body copy | 6% | 337 |
A win rate only means as much as the thing being counted, so this is what these tests were actually optimising for.
| measured outcome | share of tests |
|---|---|
| Purchase / order complete | 59% |
| Lead / form submission | 9% |
| Signup / registration | 9% |
| On-page click / engagement | 8% |
Outcomes below 5% of the set are not listed, so these do not sum to 100. How the outcome was measured moves the win rate a lot — see the methodology.
These rates are not like-for-like. How often a test wins depends partly on what it chose to measure: a goal that records a soft signal — a click, a scroll — clears the bar more often than one that records a purchase. Across this data, tests measured against a proxy goal win 13%, against 9% for tests measured against a business outcome.
Categories differ a lot in that mix — proxy goals account for anywhere from 2% to 41% of a category's tests, and social proof tests sit at 10%.
Hold the metric fixed and the spread narrows sharply. Comparing only tests measured against a business outcome, social proof wins 8% (4–14%) rather than 8%, and the gap between the highest and lowest category falls from 9 points to 6 — at which point the intervals overlap and the categories are not statistically distinguishable.
So read the table as a description of what happened, not as a ranking of what works. If you want the comparison to mean something, compare categories that were measured the same way. The methodology page has the full breakdown.
No — 8% is not zero, and the winners move more than most. It is that the expectation set by how universally it is recommended is far above what it delivers.
Not answerable from this data. Both appear on both sides.
Homepages carried the most tests in this set, which reflects where people put it more than where it works.
This is every Mida account that ran a readable test — in-house marketers, founders, product teams, and agencies working on client sites. Nothing here is filtered by who ran the experiment or how experienced they are.
Low win rates are normal in experimentation, including at the top end. Microsoft's experimentation team, reporting on its own platform, found that only about one third of ideas improve the metric they were designed to improve — and that roughly another third actively hurt it. That is a dedicated experimentation organisation with research, prioritisation and review behind every test.
A mixed population like this one runs below that. The gap is roughly what disciplined practice buys you: ideas grounded in research rather than opinion, one variable at a time, and tests built so the result can actually be read.
So treat these as a general base rate, not a target. If you would rather not close that gap the slow way, find a CRO agency in the United States, the United Kingdom, the Netherlands or Australia — or browse every region.
A win is a variant that beat its control on that test's primary goal with a statistically significant result. Tests that never got enough traffic to say anything either way are excluded. The methodology has the full detail, including what these numbers cannot tell you.
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