How to do A/B testing for better conversion: Complete Guide

Website traffic is the most important aspects of any online business and every business is focusing on it. But once you have set all the things like content marketing, SEO and paid advertisements you need to convert those visitors to your website. That’s where A/B testing comes in to play. Read this blog further to gets the detailed procedure of A/B testing for any website.

What is A/B Testing?

A/B testing also known as split testing is nothing but a process of comparing two web pages to check which page is performing best. You compare two web pages showing two variants by checking similar visitors at the same time. The page which gives better conversion rate wins.

Every online business wants to make their website better so that more and more conversion happen and the rate at which a website achieve this is known as conversion rates.

A/B testing

Image Source: Google

Why you must do A/B Testing?

A/B testing allows you to make your web page more unique and conversion driven. Whether you are running paid ad campaigns or doing SEO A/B testing help you to make more out of what you get from previous web pages. You can get massive results after implementing A/B testing on your website which gives you sudden growth in lead generation, sales and of course revenue.

Image Source: Google

What can you test in A/B testing?

  • Headlines
  • Sub-headlines
  • Images
  • Fonts
  • Testimonials
  • CTA fonts (Call to action)
  • CTA button (Call to action)
  • Links
  • Images
  • Media

Along with these if you do advance A/B testing you can also check price structure, sales promotion, free trials, navigation and User interface.

A/B testing for SEO:

Google is also supporting A/B testing and also mentioned in their one of the post about it named website testing and Google search.

According to Google, you must check the following aspects to make your web page better.

  • Cloaking
  • Try to use 302s redirect instead of 301 redirect
The Process of A/B testing:

Following steps helps you to do A/B test in a correct way:

Website Data:

Study your website data, to do this you have to use your website analytics tool such as Google analytics and explore the problems in your conversion funnel. For example, you can check your website data for highest bounce rates and try to fix them by changing your website data.

User Behavior:

There are many tools are available for checking user behaviour such as heat map, Form analysis and On-page surveys and find what stopping the visitor from conversion. For example call to action, a button is not important on a home page.


Build a hypothesis for increasing conversion rates. For example, if you increase the size of CTA button it will definitely impact in conversions.

You can test your hypothesis by testing your original web page with the one which has larger CTA button. By calculating the test duration with respect to a number of visitors per month and conversion rates on the web page.

Analyze data: By checking all these things in A/B testing you can check which variation delivers the highest conversion and implement these on your web page. If the test in not satisfactory then starts testing from step 3.

How to do A/B testing?

Start conversion optimization with visual website optimizer,

  • Include the visual website optimizer code in your website. There are many plugins and modules are available if you are using CMS like WordPress, Drupal etc which make the process pretty easy.


  • Your test is ready to go live. Reporting is done in a real time and you can see the reports as soon as the visitors arrive on your web page.

Only 40 % of online business or website are using A/B testing for better conversion. The starting point of you’re A/B testing or split testing can be checked by analyzing your data. So follow the above steps to implementing A/B testing on your website and let me know your results and a problem you face in your testing.

Last but not the least you can use these tools for A/B testing

Google Optimize


Zoho Page sense



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