Better here than elsewhere. Price framing tests win 16% of the time on homepages, against 11% across all page types — 5 points better. If you are going to test price framing anywhere, this is the page for it.
Layout tests carry a higher published rate on homepages — 20% on 100+ tests — though see the note below before reading that as a recommendation.
Small sample. Few of these tests cleared the bar. The 95% interval on that win rate runs 9% to 29%, so read the figure as directional.
| homepages | all page types | |
|---|---|---|
| Tests analysed | 49 tests | 100+ |
| Beat control | 16% | 11% |
| No measurable difference | 73% | — |
| Lost to control | 10% | — |
| Median lift when it won | not reported | — |
Median traffic per variant was 469 visitors.
| change type | win rate on homepages | tests |
|---|---|---|
| Layout | 20% | 100+ |
| Price framing (this page) | 16% | 49 tests |
| Hero image | 15% | 50+ |
| Split URL | 13% | 100+ |
| CTA copy | 11% | 100+ |
| Social proof | 10% | 50+ |
| Styling | 10% | 500+ |
| Headline | 8% | 250+ |
| Body copy | 8% | 100+ |
Only change types with at least 30 tests on homepages appear here.
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 | 43% |
| Signup / registration | 16% |
| On-page click / engagement | 14% |
| Lead / form submission | 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.
Hold the metric fixed and the spread narrows sharply. Comparing only tests measured against a business outcome, 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.
The number stays the same; the presentation changes. Per-day instead of per-month, annual instead of monthly, fee broken out instead of rolled in, anchor shown or hidden.
The default price was hidden, and the one-time and subscription labels were updated to show prices, with the subscription option using a discounted price and struck-through original price.
The base price was hidden, and the original price with a 10% discounted subscription price in strikethrough was added next to the purchase option labels, while the pack-size selector was moved into the add-to-cart aside.
The displayed price changed to one amount, the crossed-out price changed to a lower amount, and the hidden form field values were set.
The headline and supporting copy changed to offer a credit toward Premium for a lower today price, with renewal terms and options to continue or decline.
A VAT toggle was added, and VAT-inclusive prices were shown alongside the existing prices in the cart, mini cart, and tiered pricing.
It added a calculated discount percentage badge next to each configurable option’s label and restyled the price and label layout.
The financing modal list changed from its previous pricing display to show new monthly and total price breakdowns for the watch and phone models.
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.
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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