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Do layout A/B tests work?

More often than most things we track. Layout changes — moving blocks, reordering sections, swapping columns — win 15% of the time, behind only CTA colour. Nothing in a layout test is rewritten: the same words, in a different order.

Rearranging what you already have is a cheaper thing to try than rewriting it, and it tests well. Read the note below before treating the ranking as advice.

The numbers

Won 15% No measurable change 71% Lost 14%
Tests analysed250+
Beat control15%
No measurable difference71%
Lost to control14%
Median lift when it won +25%

Typical winning range: +13.4% to +158.2% for the middle half of winners. Median traffic per variant was 3024 visitors. Most ran on homepages (116), product pages (66), landing pages (42).

What counts as a layout test

Blocks move, reorder or change position. No copy is rewritten and no new content is added. If you moved a section and rewrote it, that is two variables and the result will not tell you which one worked.

Control and variant wireframe for a layout A/B test
Control on the left, variant on the right. Only the changed element is highlighted.

Adjacent categories, and how often they win: hero image (12%), styling (11%), CTA copy (12%).

Layout tests by page type

page typewin ratetests
homepages 20%100+
product pages 6%50+
landing pages 14%42 tests
category pages 12%33 tests

Only page types with at least 30 layout tests appear here.

Layout tests that won

  • The first two navigation menu items were swapped in order in both the mobile and desktop nav bars.

    HomepageE-commerce+24.8%

  • The 404 error page was replaced with a login modal that overlaid the homepage and offers page.

    Travel & Hospitality+24.2%

  • The page moved the reviews widget section and the footer to fixed later positions in the layout.

    HomepageE-commerce+21.8%

  • The original hero section was replaced with a dark hero that added an eyebrow label, a new headline, and a card with role-selection buttons linking to signup.

    Landing pageProfessional Services+20.8%

  • The hero background image was replaced, the search and hero section were restyled with new colors, fonts, and sizing, and a donation carousel with new appeal cards was added.

    Lead capture pageNonprofit+20.7%

Layout tests that did not

  • The left-aligned headline and subhead with a hero image and CTA button were replaced by a centered, image-free headline with new copy, a centered CTA, and trust bullet points below.

    HomepageSaaS / SoftwareNo significant difference

  • The page replaced the Products title with a trust banner and simpler category headline, removed the benefits list and bundle call to action, and added star ratings under each product.

    Category pageE-commerceNo significant difference

  • A new sticky add-to-cart bar was added at the bottom of the product page on mobile, and the product price was shown inside the button.

    E-commerceNo significant difference

  • The price element was moved above the title on product cards, and the spacing and position between the price and button were adjusted.

    HomepageE-commerceNo significant difference

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.

Why the rate looks like this

Moving a block changes what someone sees before they decide. Rewriting a block only changes what it says to the people who already reached it. The first is a larger intervention, which is the likeliest reason layout beats every copy-based category here.

How this compares

change typewin ratetests
CTA colour 16%32
Layout (this page) 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 8%196
Body copy 6%337

What these layout tests measured

A win rate only means as much as the thing being counted, so this is what these tests were actually optimising for.

measured outcomeshare of tests
Purchase / order complete54%
On-page click / engagement9%
Lead / form submission9%
Signup / registration8%

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.

Why this table is not a ranking

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 layout tests sit at 17%.

Hold the metric fixed and the spread narrows sharply. Comparing only tests measured against a business outcome, layout wins 12% (8–19%) rather than 15%, 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.

FAQ

Is this the same as a redesign?

No. A redesign changes layout, copy and styling at once, and a win tells you nothing about which part was responsible. These are single-variable position changes.

Where do layout tests work best?

Homepages carried the most in this set. That partly reflects where people test rather than where it works, so read it as popularity, not proof.

Who ran these tests

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.

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.