Do CTA copy A/B tests work in E-commerce?

One of the better bets in E-commerce. CTA copy tests win 17% there, against 12% for CTA copy tests across all industries and 14% for all change types within E-commerce. Ahead on both counts, which is the only combination worth calling a recommendation.

It is the strongest change type we can currently measure in E-commerce.

The numbers

	E-commerce	all industries
Tests analysed	50+	250+
Beat control	17%	12%
No measurable difference	59%	—
Lost to control	24%	—
Median lift when it won	+54.2%	—

Median traffic per variant was 3597 visitors. Most ran on homepages (32), product pages (22), other pages (15).

Every change type we can measure in E-commerce

change type	win rate in E-commerce	tests
CTA copy (this page)	17%	50+
Layout	16%	100+
Styling	16%	500+
Hero image	15%	50+
Body copy	14%	100+
Price framing	12%	50+
Split URL	11%	250+
Headline	8%	100+
Social proof	8%	50+

The industry overview is at E-commerce benchmarks; rates across all industries are on the CTA copy benchmark.

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.

CTA copy tests that won in E-commerce

Changes the banner CTA link text to a view-item label and adds click tracking.
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
Replaces trial/catalog button text with a test-font label and tracks click events

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
Appends strikethrough original price and discounted price to the Add-to-Cart button text and tags ATC/size buttons with sale classes (CSS classes empty, no styling applied)
Button text reading a numbered first step in a checkout flow.

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.

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.

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.