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Bayesian A/B testing measures which version of a page works better using a probability that updates as data comes in. Instead of waiting for some magic number of visitors, you get a running answer: "Version B has an 89% chance of getting more signups." That's it. No statistics degree required. People like it for the ...

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Convert A/B testing: honest review for 2026

Convert is a solid A/B testing tool for privacy-conscious teams with a budget of $300 to $600 per month. It's genuinely strong on data compliance (EU servers, n ...

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Google Optimize alternatives: 10 best replacements for 2026

Kirro, GrowthBook, and VWO are the three strongest Google Optimize alternatives for most teams. The right pick depends on your budget, your ...

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Landing page split testing: the full playbook from page selection to results

Landing page split testing means showing two versions of a page to different visitors, then keeping the version that converts better. Half your traffic sees the ...

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Multivariate testing: when it works, when it doesn't, and what to do instead

Multivariate testing lets you test multiple page elements at the same time. Different headlines, images, and buttons, all mixed and matched to find the winning ...

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Optimizely pricing in 2026: what it actually costs

Optimizely pricing starts at roughly $36,000 per year for web testing alone. Most companies pay between $50,000 and $200,000. Large enterprises with full pl ...

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SEO A/B testing: what it is, why most tests fail, and what small sites can do instead

SEO A/B testing means splitting your pages into two groups, changing something on one group, and measuring whether organic traffic goes up or down. It's how big ...

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Split testing meaning: what it is, the 3 types, and when each one matters

Split testing means showing two (or more) versions of something to different visitors, then keeping the one that gets better results. That's it. You change a he ...