TheIToons

Marketing term explained

A/B Testing

A/B testing is comparing two versions of something to see which one actually works better.

A/B testing shows half your visitors one version and half another, then keeps the one that performs better.

← Back to all terms

In plain English

A/B Testing: the standard explanation

A/B testing (split testing) is a method of comparing two versions of a page, headline, or element to see which performs better. Visitors are randomly split between the two, and the version with the better outcome wins.

A/B testing is a method of comparing two versions of a page or element to find out which performs better. You show version A to some visitors and version B to others, measure the outcome, and keep the winner.

A common example: you change a button from 'Submit' to 'Get my free quote' and test which gets more clicks. Because visitors are randomly split and everything else stays the same, the difference in results can be attributed to the change — not to luck or timing.

Good A/B tests change one thing at a time. If you change the headline, the image, and the button all at once, you won't know which change caused the improvement. One variable per test is the rule.

A/B testing replaces guesswork with evidence. Instead of debating whether a shorter form or a longer one is better, you test both and let the data decide. Small, repeated wins compound into meaningful growth.

At TheIToons we test the elements that matter most — headlines, CTAs, form length, and page structure — so design decisions are backed by data, not opinion.

The simplest version

A/B Testing: explained simply

A/B testing is trying two versions of something — like a red sign and a blue sign — and keeping the one that works better.

Imagine you're not sure if a red sign or a blue sign sells more lemonade.

So one day you use the red sign for half the street and the blue sign for the other half.

You count: which side sold more? Whichever sign sold more, you keep that one.

That's A/B testing — trying two things and keeping the one that works better.