A/B Testing
A method of comparing two versions of something to determine which performs better.
Also known as: Split testing, Bucket testing, Randomized controlled experiment
Category: Methods
Tags: marketing, optimization, experimentation, data, strategies
Explanation
A/B testing (split testing) is a controlled experiment comparing two variants to measure which produces better results. You show version A to half your audience and version B to the other half, then measure the difference in your target metric. This removes guesswork from optimization decisions. Common A/B tests include headlines, email subject lines, button colors, pricing, layouts, and copy variations. Valid A/B testing requires sufficient sample size, testing one variable at a time, running tests long enough for statistical significance, and having clear success metrics. For creators and knowledge workers, A/B testing applies to content titles, email sequences, landing pages, and product offerings. Let data guide decisions.
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