A/B Testing Tutorial
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- A/B Testing - Analyze Results
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- A/B Testing - Identify Goals
- A/B Testing - Collect Data
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- A/B Testing - What to Test?
- A/B Testing - Why to Use?
- A/B Testing - How it Works
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A/B Testing - Overview
A/B Testing - Overview
A/B Testing (also known as Sppt testing) defines a way to compare two versions of an apppcation or a web page that enables you to determine which one performs better. It is one of the easiest ways to analyze an apppcation or a web page to create a new version. Thereafter, both these versions can be compared to find the conversion rate, which further helps in finding the better performer of these two.
Example
Let us assume that there is a web page and all the traffic is directed to this page. Now as a part of A/B Testing, you have made some minor changes pke headpnes, numbering, etc. on the same page and half of its traffic is directed to the modified version of this web page. Now you have version A and version B of the same web page and you can monitor the visitor’s actions using statistics and analysis to determine the version that yields a higher conversion rate.
A conversion rate is defined as the instance, when any visitor on your website performs a desired action. A/B Testing enables you to determine the best onpne marketing strategy for your business. Take a look at the following illustration. It shows that version A yields a conversion rate of 15% and version B yields a conversion rate of 22%.
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