A/B testing is a powerful way to optimize your website, but to get reliable results, it’s crucial to understand statistical significance.
This tool helps you estimate the amount of traffic and time required to reach statistical significance for your A/B test, based on your site’s average monthly page views, confidence level, and margin of error. By ensuring that you gather enough data, you can make more informed decisions and confidently implement changes that will improve your user experience and conversion rates.