What is called A/B testing?

What is called A/B testing?

Hi Friends,
A/B testing (also known as split testing or bucket testing) is a method of comparing two versions of a webpage or app against each other to determine which one performs better.

A/B testing is where you take one group of people and give them one thing, then take another group and give them another thing, and then you ask each group of people to take an action of some sort and see which group of people do that action the most.

A/B testing, also known as split-testing, allows you to compare two different versions of a web page to determine which converts visitors better

A/B testing works by creating two versions of a landing page, called version A and version B. A/B Testing and also known as split testing or bucket testing.

A/B testing is the act of running a simultaneous experiment between two or more pages to see which performs or converts the best. Despite the name (A/B testing), the experiment can be conducted with as many pages as desired.

A/B testing is a randomized experiment with two variants, A and B. It includes application of statistical hypothesis testing or "two-sample hypothesis testing" as used in the field of statistics.

A/B testing (also known as split testing or bucket testing) is a method of comparing two versions of a webpage or app against each other to determine which one performs better.

The main purpose of a/b testing is to give you understand if it is convenient for a user to deal with your online store. Basing on the test results, you will see the weaknesses of your site and figure out what needs to be improved that it worked better. In other words, you analyze which version of the website is better. But, don't create pages based on a hunch. The a\b testing process is very important and fruitful if conduct it correctly.

What is A/B testing?

A/B tests also known as split testing or bucket testing are the way to test hypotheses for improving a page, attracting and retaining customers.

You can achieve the following results:

improvement of your online store usability;
smaller numbers of users who leave your site;
acceleration of the process of making purchasing decisions.

A/B Testing is comparison method of 2 inputs.