A/B Testing is an experiment comparing two versions of a message, page, ad, or element to see which performs better.
Example of A/B Testing
A test assigns eligible visitors to two versions of a landing-page headline while keeping the offer and form consistent. Define the success metric and decision rules in advance so a small early difference is not mistaken for a reliable result.
Why A/B Testing matters
It matters because more traffic is not always the answer. CRO and lead generation terms help teams improve the path from visitor to qualified opportunity, often producing more revenue from the same audience.
Related terms
Frequently Asked Question
What does A/B Testing mean?
A/B Testing means an experiment comparing two versions of a message, page, ad, or element to see which performs better.