A comprehensive guide to A/B testing websites, covering what it is, real-world examples (Google's 50 shades of blue, Bing's $100M headline change, Booking.com's scarcity experiments), and a step-by-step process for running tests. Covers how to set goals, create variants, split traffic, and analyze results using conversion rates. Also explains how to track A/B tests using Plausible Analytics custom properties, and highlights pitfalls like SEO disruptions, statistical significance, privacy compliance, and page speed impacts.

12m read timeFrom plausible.io
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What is A/B testing?Real-world examples of A/B testsHow to run an A/B test on your website?How to track and analyze the A/B test and its results?Watch out forLastly…

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