A/B Testing - Why to Use?

A/B Testing is used to make business decisions based on the results derived from data, instead of just making predictions. It allows you to create variations of your website or app and then helps you to confirm or discard your decision to make changes.

This testing allows you to optimize your site or app in such a way that it increases the conversion rates. A higher conversion rate means getting more value from your existing users instead of having to pay more on traffic acquisition. A/B Testing can also help you to change other factors in business like changing work culture, etc. It helps you to use mathematical data and statistics to determine the direction of your product variations.

Either you are a designer, a business analyst, or a developer, A/B Testing provides a simple way to use the power of data & statistics to reduce risks, improve results, and become more data-driven in your work.

To run an A/B Test, you should consider the following points −

  • Always perform A/B Testing if there is probability to beat the original variation by >5%.

  • Test should be run for a considerable amount of time, so that you should have enough sample data to perform statistics and analysis.

A/B Testing also enables you to gain maximum from your existing traffic on a webpage. The cost of increasing your conversion is minimal as compared to the cost of setting up the traffic on your website. The ROI (return on investment) on A/B Testing is huge, as a few minor changes on a website can result in a significant increase of the conversion rate.