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Do hero image A/B tests work?

More often than changing the words next to them. Swapping the main visual wins 17% of the time. Rewriting the headline on the same page wins 10%. If you are choosing between the two on a homepage, the image is the better bet.

The hero is the first thing anyone sees, so replacing it changes the whole first impression rather than one line of it.

The numbers

Tests analysed100+
Beat control17%
No measurable difference65%
Lost to control18%
Median lift when it won +19.4%

Typical winning range: +8.7% to +31.8% for the middle half of winners. Median traffic per variant was 1601 visitors. Most ran on homepages (68), product pages (27), landing pages (24).

What counts as a hero image test

The main visual is swapped, cropped or replaced. Surrounding copy stays as it was.

Control and variant wireframe for a hero image 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%), styling (15%), CTA copy (12%).

Hero image tests by page type

page typewin ratetests
homepages 18%50+

Only page types with at least 30 hero image tests appear here.

Hero image tests that won

  • Replaces the light-background stats section with a dark full-bleed video hero, adds a new quality-focused headline, and places a trust badge/logo bar below.
  • banner image assets (desktop and phone sizes) with no accompanying text described
  • Swaps the hero image for a different two-person image, removes the subhead body copy, and shortens the CTA label.
  • replaces the first carousel banner image with a different image (device-specific) and adds click tracking to it
  • a new hero/promotional image asset displayed in place of prior visual content

Hero image tests that did not

  • replaces the banner image (desktop/mobile) and sets a dark background color on the banner link
  • Replaced the location-specific hero with a generic brand headline, olive-green background, and a different circular model photo.
  • Image asset showing a CRO features visual hosted on a CDN
  • replaces the venue photo with a different indoor/outdoor image and shifts/crops it upward on larger screens

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 visitor forms an impression of the page before reading it. The hero image is most of that impression, which gives an image swap more room to move behaviour than a headline rewrite in the same position.

How this compares

change typewin ratetests
Layout 19%351
Hero image (this page) 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 10%918
Social proof 9%196

FAQ

Photo or illustration?

Our data does not answer this. The winners in this set moved in different directions on different sites, and there is no general rule in them.

Does this include background images?

Yes, where the background is the page's main visual. A decorative texture change is a styling test instead.

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.