A/B Testing: A Beginner's Guide to Higher Conversions
Stop guessing what works. Let your visitors show you with data.
Conversion Optimization14 min read
/ Key takeaways
- →A/B testing replaces opinions with evidence.
- →Test one change at a time and reach statistical significance.
- →Prioritize tests by potential impact.
/ In this article
A complete outline of what this guide covers. Each section is being expanded into full detail — bookmark it and check back.
01What A/B testing is
02Forming a hypothesis
03What to test first
04Running a valid test
05Reaching significance
06Acting on results
/ FAQ
Common questions.
- What is A/B testing?
- Showing two versions of a page or element to different visitors to see which performs better.
- How long should an A/B test run?
- Long enough to reach statistical significance — typically a couple of weeks, depending on traffic.
- What should I test first?
- High-impact elements like headlines, CTAs, and page layout tend to move the needle most.