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Do CTA colour A/B tests work?

Usually not. Button-colour tests win 16% of the time. 81% change nothing measurable.

Cheap to run, and rarely the thing that moves a page.

Small sample. Few of these tests cleared the bar. The 95% interval on that win rate runs 7% to 32%, so read it as directional rather than settled.

The numbers

Tests analysed32 tests
Beat control16%
No measurable difference81%
Lost to control3%
Median lift when it won too few winners to report

All 5 winners fell between +5.2% and +68%. Median traffic per variant was 2079 visitors. Most ran on homepages (11), carts (9), category pages (6).

What counts as a CTA colour test

Only the button's fill, border or contrast changes. The label is identical, the size is identical, the position is identical.

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

Adjacent categories, and how often they win: CTA copy (12%), styling (15%), layout (19%).

CTA colour tests that won

  • Changes primary button background and border color to orange
  • changes button color scheme (blue background/border) and adds hover color/shadow effect, no text change
  • Changes background color of submit/checkout buttons and mini-cart link to green (#17bd7d), with white text and no border on the mini-cart button

CTA colour tests that did not

  • Changes the primary button background and border color to orange
  • Changes the CTA button's background color to green and text color to white
  • Changes primary button color to orange (darker orange on hover) without changing button text
  • Changes the CTA button background color to orange while keeping text white

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

Button colour is the most-repeated tip in conversion optimisation, and it survives because the few wins are memorable while the flat results are not. A flat test gets abandoned rather than written up.

How this compares

change typewin ratetests
Layout 19%351
Hero image 17%160
Form 16%81
CTA colour (this page) 16%32
Styling 15%1414
Price framing 13%117
CTA copy 12%315
Body copy 11%337
Split URL 11%1164
Headline 10%918
Social proof 9%196

FAQ

Is red or green better for buttons?

Our data does not support a universal answer. The winning tests moved in different directions on different pages.

Is it worth testing button colour at all?

Only if it is cheap and you have traffic to spare. A layout test at 19% is better odds on the same effort.

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.