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Do headline A/B tests work?

Less often than almost anything else. Headline tests win 10% of the time, near the bottom of the table, and 79% produce no measurable difference at all. They are also the second-most-run category, which is the gap worth noticing.

The most-recommended tactic in conversion optimisation has the worst hit rate in our data. Not worthless, just badly over-recommended relative to what it returns.

The numbers

Tests analysed500+
Beat control10%
No measurable difference79%
Lost to control11%
Median lift when it won +17.2%

Typical winning range: +10.7% to +42.4% for the middle half of winners. Median traffic per variant was 1103 visitors. Most ran on homepages (395), landing pages (159), product pages (153).

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.

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

Headline tests by page type

page typewin ratetests
homepages 10%250+
landing pages 6%100+
product pages 18%100+
lead capture pages 11%50+
content pages 6%50+

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

Headline tests that won

  • Replaced fear-based headline with a full-width hero with a benefit-driven hours headline, highlighted text, and embedded testimonial/video prompt
  • invitational headline prompting visitors with questions to initiate contact
  • Replaced a duration/project-count headline and screenshot-grid visual with a clickable-prototype-in-30-days headline plus a video play button and different body copy/CTA text
  • Shortened a headline by dropping a person’s full name from the title
  • Step 1 instruction prompting the user to start their quote

Headline tests that did not

  • step 1 heading inviting users to schedule a no-obligation demo
  • Step 1 label prompting users to request advice from an expert
  • instructional headline promoting how to watch a streaming service in a specific country, with a trailing arrow
  • Headline touts automatic vendor management that eliminates manual spreadsheet tracking, followed by a subhead describing how the product syncs accounting systems, extracts contract terms with AI, and answers questions in seconds, ending with a live demo prompt.

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

A headline rewrite is a small intervention wearing important clothes. It feels central because it is at the top, but it changes only what one line says to people who were going to read that line anyway. Position and visual changes alter what people see at all, which is a bigger lever.

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 12%315
Body copy 11%337
Split URL 11%1164
Headline (this page) 10%918
Social proof 9%196

FAQ

Why is headline testing recommended so widely?

It is cheap to produce, easy to explain, and the occasional big win is memorable while 79% flat results are not. Aggregate data is the only way to see the denominator.

Does a longer or shorter headline win?

Neither, on this data. Winners and failures both contain long and short rewrites.

What should I test instead?

On these numbers, layout at 19% or hero image at 17% on the same page.

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.