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Do CTA copy A/B tests work?

About one in eight times. Rewriting the words on a button wins 12% of the time. For comparison, changing that same button's **colour** won 16% in our data — though on a much smaller sample, so do not read too much into the ordering.

A middling bet with a good payoff when it lands: the median winner moves +21.8%.

The numbers

Tests analysed250+
Beat control12%
No measurable difference68%
Lost to control20%
Median lift when it won +21.8%

Typical winning range: +8.8% to +54.2% for the middle half of winners. Median traffic per variant was 1412 visitors. Most ran on homepages (120), product pages (48), lead capture pages (38).

What counts as a CTA copy test

The button's words change. Size, colour and position stay as they were. Change the colour too and you have two variables.

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

Adjacent categories, and how often they win: layout (19%), hero image (17%), styling (15%).

CTA copy tests by page type

page typewin ratetests
homepages 11%100+
product pages 6%48 tests
lead capture pages 21%38 tests
landing pages 10%31 tests

Only page types with at least 30 CTA copy tests appear here.

CTA copy tests that won

  • paired CTA choices framing signup as identity-theft protection vs. an opt-out link to skip protection
  • Changes the banner CTA link text to a view-item label and adds click tracking.
  • Repeats the CTA button text across multiple instances.
  • Changes text of catalog trial buttons to a free-download label and adds click tracking
  • Changes top-right nav button text from a purchase prompt to a generic action prompt

CTA copy tests that did not

  • Adds a new sticky CTA button that appears when scrolling past the price section and scrolls back to it on click
  • numbered CTA reading 'CONTACT SALES'
  • Changes hero CTA button text to a free consultation offer
  • button/link labels prompting users to watch a free guide, mostly repeated as a watch-the-guide CTA with one instance as watch now

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 copy only reaches people who have already scrolled to the button and are deciding. That is a narrower audience than a hero or layout change reaches, which caps how much it can move.

How this compares

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

FAQ

Should the button say what happens next?

The winners here do not settle it. Both specific and generic labels appear among them, and among the failures.

Is button text worth testing before layout?

On these numbers, no — layout wins 19% against CTA copy's 12%. Test the cheaper one first only if the traffic makes the better one unreadable.

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.