Do headline A/B tests work in E-commerce?

In line with both baselines. Headline tests win 8% in E-commerce, against 10% for headline tests generally and 14% for E-commerce generally. Neither the category nor the vertical is moving this much.

The strongest change type we can measure in E-commerce is CTA copy at 17% on 50+ tests.

The numbers

	E-commerce	all industries
Tests analysed	100+	500+
Beat control	8%	10%
No measurable difference	80%	—
Lost to control	12%	—
Median lift when it won	+24.1%	—

Median traffic per variant was 1322 visitors. Most ran on homepages (65), product pages (49), landing pages (24).

Every change type we can measure in E-commerce

change type	win rate in E-commerce	tests
CTA copy	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 (this page)	8%	100+
Social proof	8%	50+

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

What counts as a headline test

The main heading is rewritten. Structure, styling and every other element stay put.

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

Headline tests that won in E-commerce

Headline promoting product as key to passionate nights, evoking passion and pure intimacy
numbered step-style headline announcing summer essentials discovery followed by a shop sale prompt
promotional headline announcing a Valentine's 40% discount
Headline promising guaranteed damp/humid nights

Headline tests that did not

Step 1 label prompting users to request advice from an expert
Question-style heading asking how vehicle buy-back works
benefit-led headline pairing energy and healthy ageing claims with cellular protection against oxidative and metabolic stress, plus supporting line on cellular repair and mitochondrial function

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.