A/B Testing

A/B testing is an effective method for determining which version of a marketing experiment performs best. Typically, you create two versions of a web page, ad, or email and randomly distribute half the traffic to version A and half to version B. You then analyze the data to see which version converted best.

Why is A/B testing important?

A/B testing removes guesswork from optimization by providing data-driven insights. It's a core component of CRO and enables continuous improvement of conversion rates, click-through rates, and user engagement.