Background RESEARCH − First step in A/B TESTING is to find out the bounce rate on your website. This can be done with the help of any TOOL like Google Analytics.

Collect Data − Data from Google Analytics can help you to find visitor behaviors. It is always advisable to collect enough data from the site. Try to find the pages with low conversion rate or high drop-off RATES that can be improved.

Set Business Goals − NEXT step is to set your conversion goals. Find the metrics that determines whether or not the variation is more successful than the original version.

Construct Hypothesis − Once the goal and metrics have been set for A/B Testing, next is to find ideas to improve the original version and how they will be better than the current version. Once you have a list of ideas, prioritize them in terms of expected impact and difficulty of implementation.

Create Variations/Hypothesis − There are many A/B Testing tools in the market that has a visual editor to make these changes effectively. The key decision to perform A/B Testing successfully is by selecting the correct tool.

Running the Variations − Present all variations of your website or an app to the visitors and their actions are monitored for each variation. Visitor interaction for each variation is measured and compared to determine how that variation performs.

Analyze Data − Once an experiment is completed, next is to analyze the results. A/B Testing tool will present the data from the experiment and will tell you the difference between how the different variations of web page is performed. Also if there is any significant difference between variations with the help of mathematical methods and statistics.

Background Research − First step in A/B Testing is to find out the bounce rate on your website. This can be done with the help of any tool like Google Analytics.

Collect Data − Data from Google Analytics can help you to find visitor behaviors. It is always advisable to collect enough data from the site. Try to find the pages with low conversion rate or high drop-off rates that can be improved.

Set Business Goals − Next step is to set your conversion goals. Find the metrics that determines whether or not the variation is more successful than the original version.

Construct Hypothesis − Once the goal and metrics have been set for A/B Testing, next is to find ideas to improve the original version and how they will be better than the current version. Once you have a list of ideas, prioritize them in terms of expected impact and difficulty of implementation.

Create Variations/Hypothesis − There are many A/B Testing tools in the market that has a visual editor to make these changes effectively. The key decision to perform A/B Testing successfully is by selecting the correct tool.

Running the Variations − Present all variations of your website or an app to the visitors and their actions are monitored for each variation. Visitor interaction for each variation is measured and compared to determine how that variation performs.

Analyze Data − Once an experiment is completed, next is to analyze the results. A/B Testing tool will present the data from the experiment and will tell you the difference between how the different variations of web page is performed. Also if there is any significant difference between variations with the help of mathematical methods and statistics.