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Do split URL A/B tests work on content pages?

About the same as anywhere else. Split URL tests win 10% of the time on content pages, against 11% across all page types. This page neither helps nor hurts the change type.

It is also the strongest change type we can measure on content pages — nothing else we track wins more often there.

Small sample. Few of these tests cleared the bar. The 95% interval on that win rate runs 4% to 21%, so read the figure as directional.

The numbers

content pagesall page types
Tests analysed50+1,000+
Beat control10%11%
No measurable difference74%
Lost to control16%
Median lift when it won not reported

Median traffic per variant was 868 visitors.

What else is worth testing on content pages

change typewin rate on content pagestests
Split URL (this page) 10%50+
Headline 6%50+

Only change types with at least 30 tests on content pages appear here.

What counts as a split URL test

Traffic is split between two addresses. The variant is a different page at its own URL, not a modified version of the control.

Control and variant wireframe for a split URL A/B test
Control on the left, variant on the right. For how this differs from adjacent categories, see the split URL benchmark.

Why there are no examples on this page

A split URL variant is a whole separate page, so every description of what changed reduces to "traffic goes to a different page". The detail lives on the variant page itself, which belongs to the customer.

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.