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Do layout A/B tests work in Professional Services?

One of the better bets in Professional Services. Layout tests win 25% there, against 19% for layout tests across all industries and 14% for all change types within Professional Services. Ahead on both counts, which is the only combination worth calling a recommendation.

It is the strongest change type we can currently measure in Professional Services.

Small winner set. Few of these tests cleared the bar. The 95% interval on that win rate runs 13% to 42%, so read the figure as directional.

The numbers

Professional Servicesall industries
Tests analysed32 tests250+
Beat control25%19%
No measurable difference75%
Lost to control0%
Median lift when it won not reported

Median traffic per variant was 827 visitors. Most ran on homepages (21), landing pages (3), lead capture pages (3).

Every change type we can measure in Professional Services

change typewin rate in Professional Servicestests
Layout (this page) 25%32 tests
Headline 13%50+
Styling 12%100+
Split URL 12%50+
Body copy 11%36 tests

The industry overview is at Professional Services benchmarks; rates across all industries are on the layout benchmark.

What counts as a layout test

Blocks move, reorder or change position. No copy is rewritten and no new content is added. If you moved a section *and* rewrote it, that is two variables and the result will not tell you which one worked.

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

Layout tests that won in Professional Services

  • replaced the three-audience card selector layout with a single personal-notary focused hero featuring a new headline, process steps, price framing box, and trust stats/rating
  • Replaced the generic three-audience selector page with a single-focus, direct-response layout: new headline targeting individuals, product screenshot image, process steps, pricing badge, and trust stats replace the segmented card grid
  • Hides native pricing/header/footer/documents sections and injects a custom two-card offer block with default-selected add option, custom CTA button, and proxy click handling.
  • Hides the default pricing header/price and comparison block, restyles the pricing box container, and injects a new custom pricing panel (title, price row, badge, availability text) with green/white styling.

Layout tests that did not

  • Hides native family-plan banner, header, image, pricing box, features, and footer, replacing them with a custom injected two-card add/skip family-plan selector with default-selected add option, dynamic CTA text/discount copy, and a loading spinner state.
  • Redesigned page with light theme, added nav menu, eyebrow tagline, intro paragraph, and a checklist replacing the dark-themed benefits bullet list; form subheading and fields also updated
  • Adds a fixed social-proof bar with icons/titles below the header and adjusts page top padding to accommodate it (hidden on smaller 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.

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.