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Do form A/B tests work?

More often than average, yes. Form changes — removing fields, reordering them, restyling them — win 12% of the time, one of the higher published rates. The oldest advice in conversion optimisation holds up better than most of the newer advice.

Worth doing, with the caveat that a shorter form can move a worse-qualified lead downstream, and a conversion metric will not show you that.

The numbers

Won 12% No measurable change 70% Lost 17%
Tests analysed50+
Beat control12%
No measurable difference70%
Lost to control17%
Median lift when it won +71.1%

Typical winning range: +23.6% to +204.5% for the middle half of winners. Median traffic per variant was 1420 visitors. Most ran on homepages (28), lead capture pages (15), landing pages (12).

What counts as a form test

Fields are added, removed, reordered or restyled. The form's purpose and destination stay the same.

Control and variant wireframe for a form 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%), hero image (12%), styling (11%).

Form tests that won

  • The product block content was replaced with a size help link that opened a popup with sizing guidance.

    Product pageE-commerce+71.1%

  • It replaced the numeric quantity input with a styled 1-10 dropdown selector and hid the original price display.

    HomepageE-commerce+53.8%

  • The two-column contact info form was replaced with a single-column multiple-choice question, and the image was removed.

    Lead capture pageProfessional Services+39.1%

  • It replaced the checkbox with a tap-to-consent button, rewrote the subtitle and disclosure text with a dynamic document name, and swapped the static phone image for a live animated phone bubble.

    HomepageProfessional Services+23.6%

  • It added a consent disclaimer with terms and privacy links below the checkout button, hid the terms checkbox row, and set that checkbox to be checked automatically.

    HomepageProfessional Services+14.3%

Form tests that did not

  • It replaced the quantity input with plus and minus buttons on mobile or a styled dropdown on desktop, hid the base price display, and restyled the price and benefit list elements.

    HomepageE-commerceNo significant difference

  • The plain notice text was replaced with a route search form that used dropdowns and a primary CTA in the hero area.

    Content pageTravel & HospitalityNo significant difference

  • The form hid all vehicle finder fields except the make dropdown until a make was selected, then showed the model dropdown and added numbered step labels to the fields.

    HomepageE-commerceNo significant difference

  • The email field placeholder text changed, the address field was relabeled, a collapsible manually enter address section was added, some address labels were hidden, and checkout form elements were restyled.

    Checkout pageE-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 field is work. Removing one removes work from every single person who reaches the form, which is a broader intervention than changing something only some visitors read.

How this compares

change typewin ratetests
CTA colour 16%32
Layout 15%351
Form (this page) 12%81
CTA copy 12%315
Hero image 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 form 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 complete48%
Lead / form submission27%
On-page click / engagement6%
Signup / registration5%

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 form tests sit at 21%.

Hold the metric fixed and the spread narrows sharply. Comparing only tests measured against a business outcome, 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

How many fields should I remove?

The tests here do not support a number. What they support is that field count is worth testing at all, which is more than can be said for several better-known tactics.

Will a shorter form hurt lead quality?

It can, and a conversion goal cannot tell you. If lead quality matters, decide before you launch how you will check it, because the test itself will not.

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.