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Do split URL A/B tests work in Travel & Hospitality?

Weak on both counts. Split URL tests win 6% in Travel & Hospitality, below the 11% these tests manage across all industries and below the 11% that Travel & Hospitality manages across all change types. There is usually something better to spend a test slot on.

The strongest change type we can measure in Travel & Hospitality is Styling at 15% on 40 tests tests.

Small winner set. Few of these tests cleared the bar. The 95% interval on that win rate runs 2% to 19%, so read the figure as directional.

The numbers

Travel & Hospitalityall industries
Tests analysed35 tests1,000+
Beat control6%11%
No measurable difference77%
Lost to control17%
Median lift when it won not reported

Median traffic per variant was 992 visitors. Most ran on homepages (17), product pages (7), other pages (4).

Every change type we can measure in Travel & Hospitality

change typewin rate in Travel & Hospitalitytests
Styling 15%40 tests
Split URL (this page) 6%35 tests

The industry overview is at Travel & Hospitality benchmarks; rates across all industries are on the split URL benchmark.

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. Only the changed element is highlighted.

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.