A/B Test

What is A/B Testing?

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A/B test, split test Also known as, it is a method often used in online marketing. This test aims to determine which performs better by comparing two different versions of a web item (e.g. a landing page, call-to-action (CTA), email subject line, or product description). The main goal is to find the version that generates more conversions or achieves a higher engagement rate.

How to do A/B testing?

In A/B testing, your target audience is randomly divided into two groups. While Group A sees the original version (also called the control group), Group B is presented with the new version (variation). User behaviors are then tracked and compared using metrics such as click-through rate (CTR), conversion rate, or time spent on the page.

Example:

Imagine that you run an online bookstore and want to find out which button text on your homepage works better. One button says “Discover Bestsellers,” while the second version says “Buy the Best Books Now.” With A/B testing, 50% of visitors see version A and the other 50% see version B. After analyzing the data, such as how many users clicked and completed the purchase, you can choose the version that performs better.

Important Note:

In A/B testing test only one item at a time (e.g. title or CTA button text). Testing multiple items at the same time can lead to ambiguous results, as you may not know which change caused the improvement.

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