Testing Methodology

A/B testing for pricing: how to test price points without losing customers

A/B testing for pricing means showing different price points, tiers, or page layouts to separate groups of visitors. Then you measure which version earns more revenue. It's one of the highest-impact tests you can run. Also one of the riskiest if you do it wrong. **Don't start by testing different dollar amounts on dif ...

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A/B testing in product management: what PMs actually need to know

A/B testing in product management means running controlled tests on product features, flows, and designs to see what actually works. Not guessing. Not debating ...

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A/B testing UX: how designers use split testing to make better design decisions

A/B testing in UX means showing two design versions to real visitors and measuring which one performs better. Not "which one the team likes more in a meeting." ...

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A/B testing vs split testing: what's actually different (and when it matters)

A/B testing and split testing are usually the same thing. Most of the time, people use both terms to mean "show two versions, see which wins." The industry can' ...

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AI A/B testing: what's real, what's hype, and what actually helps

AI A/B testing uses machine learning to help you design, run, and analyze your tests faster. You stop manually picking what to test, writing ever ...

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Client-side vs server-side A/B testing: which one your business actually needs

Client-side testing changes what visitors see inside the browser. Server side testing decides what to send before the page even loads. That's the core differenc ...

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Cookieless A/B testing: what actually changed and what to do about it

Most A/B testing tools use first-party cookies. That's the kind your own website sets. Third-party cookies, the kind advertisers use to follow yo ...

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CUPED and variance reduction: run faster A/B tests with less traffic

CUPED is a technique that uses what your visitors did before your test started to filter out noise in your results. It stands for Controlled-experiment Using ...

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Feature flags vs A/B testing: what's the difference and which do you need?

Feature flags are on/off switches that developers put in code to control who sees a new feature. A/B testing shows two versions of something to real visitors an ...

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Multi-armed bandit testing: what it is, when it works, and when it backfires

A multi-armed bandit is an algorithm that automatically sends more traffic to whichever version of your page is winning. Instead of splitting visitors 50/50 and ...