A/B Testing & Experimentation
A/B testing is one of the most powerful tools in CRO, allowing you to compare different versions of a webpage, email, or ad to determine which performs better. This category covers the fundamentals of A/B testing, multivariate testing, and split testing. Learn how to develop a testing hypothesis, choose the right metrics, and run experiments effectively. We provide insights on what elements to test—such as headlines, CTAs, colors, and layouts—to maximize conversions. Discover best practices for running statistically significant tests and how to iterate based on real user behavior.
- What is A/B testing and why is it essential for CRO?
- How do I set up an effective A/B test?
- What elements of a webpage should I test first?
- How do I interpret A/B test results?
- What are common pitfalls in A/B testing?
- How often should I run A/B tests?
- What is multivariate testing and when should I use it?
- How do I ensure statistical significance in testing?
- How can A/B testing improve my CTAs?
- What tools are best for A/B testing on websites?
