What is A/B Testing?
TL;DR
Comparing two versions of a webpage to see which performs better. You show version A to half your visitors and version B to the other half, then measure which has a higher Conversion Rate. Test one element at a time, headlines, Call to Action buttons, images, or layouts. Data beats opinions.
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Frequently Asked Questions About A/B Testing
What should I A/B test first?
Start with high-impact elements: headlines, CTAs, and hero images. These affect everyone immediately. Don't test minor changes like button border radius, focus on elements that could significantly change behavior.
How long should I run an A/B test?
Until you reach statistical significance, which depends on traffic and conversion rates. Most tools calculate this. As a rule: at least 2 weeks and 100+ conversions per variation. Don't stop early just because one version looks better.
What if my website doesn't get much traffic?
Low-traffic sites struggle with A/B testing because reaching significance takes too long. Instead, make bigger, bolder changes based on best practices and user research. Save split testing for when you have enough traffic to learn quickly.
What tools do I need for A/B testing?
Google Optimize (free but limited), VWO, Optimizely, or Unbounce for landing pages. These tools handle the technical split and statistical analysis. Make sure your site has enough traffic before investing in paid tools.
Terms Related to A/B Testing
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