What is A B Testing

A B Testing

A B Testing also known as bucket testing or split testing is a part of Conversion Rate Optimization, the art and science of getting more sales and leads from the same level of traffic.

A B testing helps us in comparing two web pages or mobile application. It is basically competition between two web pages which make it easier for us to decide which among the two would perform better under certain circumstances.

Why do we need to compare two web pages?

In today’s world we have a many websites for each single topic, A B testing helps in deciding which one you should be choosing for your issue.

We need to compare web pages for a variety of reasons it maybe be for the fastness of loading of webpages, for efficiency in data flow or making out a better platform for eCommerce sites for attracting more traffic towards itself helping in CPC or (PPC) pay per click. So we have a many reasons to check the performance of web pages.

A B Testing
A B Testing

A B Testing

All the websites on the internet have some basic goals for existence eCommerce websites want visitors buying products.

SaaS web apps want visitors signing up for a free trial and converting to paid visitors.

News and media websites want readers to click on ads or sign up for paid subscriptions.

For many a reasons we do this testing!

How does A/B testing works ?

A/B testing is simple yet a multi-step and time consuming process.

Consider you have a webpage A so here you create an alternative Webpage B with some certain changes like moving CTA (call-to-action) button form sidebar to the header.

Now this two web pages are presented to a percentage of visitor, who would decide the winner and the challenger webpage.

The webpage with a better conversion ration is the champion webpage whereas the other webpage is declared as the challenger webpage.

A B Testing
A B Testing

These simple steps help in A B testing:

  • Pick one variable to test.
  • Create a ‘control’ and a ‘challenger.’
  • Split your sample groups equally and randomly.
  • Test both variations simultaneously.
  • Ask for feedback from real users.


Please enter your comment!
Please enter your name here