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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 12% of the time, around the middle of the pack. The hero is the first thing anyone sees, so replacing it changes the whole first impression rather than one line of it.

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

The numbers

Won 12% No measurable change 70% Lost 18%
Tests analysed100+
Beat control12%
No measurable difference70%
Lost to control18%
Median lift when it won +20.2%

Typical winning range: +12% to +40% 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 (15%), styling (11%), CTA copy (12%).

Hero image tests by page type

page typewin ratetests
homepages 15%50+

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

Hero image tests that won

  • The hero image changed from an embedded map to a staff photo at the storefront.

    Lead capture pageHealthcare+20.2%

  • The image inside the specified block was replaced with a different photo.

    HomepageFinance & Insurance+19.5%

  • The homepage hero area changed from a static section to a new autoplaying background video with a headline, text, and a CTA button above the main content.

    HomepageE-commerce+19.4%

  • The hero video source and poster image were swapped from one language version to another, while the surrounding content stayed the same.

    HomepageHealth & Wellness+24.9%

  • The plain text headline and static screenshot hero were replaced with an illustrated mind-map graphic and a new translated headline.

    HomepageSaaS / Software+13.4%

Hero image tests that did not

  • It replaced the desktop and mobile hero images with new versions and reduced the top margin above the hero graphic on mobile.

    HomepageSaaS / SoftwareNo significant difference

  • The hero banner image changed from a mother and son hugging to a different photo of a family on a muddy walk, while the layout and cropping stayed the same.

    HomepageFinance & InsuranceNo significant difference

  • It added a new hero section with three linked promotional images above the page content and hid the existing banner wrapper.

    HomepageE-commerceNo significant difference

  • The static hero banner image was replaced with an autoplaying, looping, muted background video.

    HomepageE-commerceNo significant difference

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
CTA colour 16%32
Layout 15%351
Form 12%81
CTA copy 12%315
Hero image (this page) 12%160
Price framing 11%117
Styling 11%1414
Split URL 10%1165
Headline 8%918
Social proof 8%196
Body copy 6%337

What these hero image tests measured

A win rate only means as much as the thing being counted, so this is what these tests were actually optimising for.

measured outcomeshare of tests
Purchase / order complete46%
On-page click / engagement15%
Signup / registration14%
Lead / form submission11%

Outcomes below 5% of the set are not listed, so these do not sum to 100. How the outcome was measured moves the win rate a lot — see the methodology.

Why this table is not a ranking

These rates are not like-for-like. How often a test wins depends partly on what it chose to measure: a goal that records a soft signal — a click, a scroll — clears the bar more often than one that records a purchase. Across this data, tests measured against a proxy goal win 13%, against 9% for tests measured against a business outcome.

Categories differ a lot in that mix — proxy goals account for anywhere from 2% to 41% of a category's tests, and hero image tests sit at 25%.

Hold the metric fixed and the spread narrows sharply. Comparing only tests measured against a business outcome, hero image wins 9% (4–20%) rather than 12%, and the gap between the highest and lowest category falls from 9 points to 6 — at which point the intervals overlap and the categories are not statistically distinguishable.

So read the table as a description of what happened, not as a ranking of what works. If you want the comparison to mean something, compare categories that were measured the same way. The methodology page has the full breakdown.

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.