A/B Testing is used to settle business decisions based on the outcomes derived from data, rather than just making predictions. It permits you to create variations of your website or application and then helps you to confirm or discard your decision to make changes.
This testing permits you to enhance your site or application 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 assist you to change other factors in business like changing work culture, and so on. It helps you to utilize 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 gives 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 think about the following points −
Continuously 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 example data to perform statistics and analysis.
A/B Testing also empowers you to gain maximum from your existing traffic on a webpage. The expense 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 site can result in a significant increase of the conversion rate.