Glossary · WordPress, Shopify & landing pages

A/B testing

Also called: split testing, AB test, multivariate testing

Definition

A/B testing compares two versions of a page or element by showing each to a random share of visitors and measuring which produces more conversions.

A/B testing explained

In an A/B test, version A is the current page and version B changes one thing, such as the headline, the offer, the form length or the CTA. Visitors are randomly split between them, and once enough data has been collected, you compare conversion rates to see whether the difference is real or just chance.

Reliable tests need:

  • A clear hypothesis based on research, not a random idea.
  • Enough traffic and conversions to reach statistical confidence.
  • A fixed duration, usually covering full weeks, rather than stopping as soon as one version looks ahead.
  • One primary metric agreed in advance.

Testing tools can slow pages down if they load heavy scripts or hide content while deciding which version to show, which hurts LCP and INP. Server-side testing avoids this. For SEO, Google says not to show Googlebot different content from people, to use canonical tags on alternate test URLs, to use 302 rather than 301 redirects for tests, and to remove test elements once a test ends.

Example

Your landing page headline talks about features. You A/B test it against a headline about the outcome customers want. After several weeks with a sample large enough to trust, the outcome-led version produces more enquiries, so it becomes the new default.

Why it matters

A/B testing replaces opinions with evidence, so conversion improvements are real and can build on each other.

Related service

Landing Page Development

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Published by Vidern, founded and led by Malhar Shah. Updated .

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