What Is A/B Testing in a CMS?
IntermediateQuick Answer
TL;DR
A/B testing in a CMS lets you create two or more versions of a piece of content—different headlines, images, calls-to-action, or page layouts—and show each version to a different segment of visitors to measure which performs better. The CMS stores and serves the content variants; a separate experimentation platform handles traffic splitting, randomization, and statistical analysis. Results guide decisions about which version to make permanent.
Key Takeaways
- A/B testing compares content variants by splitting traffic between them and measuring outcomes (clicks, conversions, engagement)
- The CMS manages content variants; experimentation platforms like Optimizely, LaunchDarkly, or VWO handle traffic splitting and statistics
- Statistical significance is required before declaring a winner—typically 95% confidence with sufficient sample size
- Headless CMS architectures are well-suited for A/B testing because content is delivered via API and variants can be selected at the edge or in the application layer
- Common test targets: headlines, hero images, CTA button text, page layouts, and pricing copy