Ideas for an experiment can come from surveys

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Where to Start with A/B Testing Define a goal As with any analysis process, the starting point for a successful A/B test is the definition of an objective , which must not be too generic (a typical example is “sell more”… ok, but how and where?), nor excessively specific.


An example of an experiment could be one that aims to reduce cart abandonment in an e-commerce site, during the user registration phase. from the test In this case, the information that chinese overseas british phone number list stimulates the definition of a goal could probably come from a web analytics tool (such as Google Analytics), which highlights a high abandonment rate in that specific phase.


In addition to quantitative data such as that of a web analytics platform,“user testing” sessions and even from your own personal intuition, which very often is a winner! Define the element to be varied (or “hypothesis”) At this point, you need to identify the specific element that could most likely lead to the satisfaction of the objective.


In our example, abandonment at that specific stage of the cart could be due to a registration form that is too complex, other distractions, or who knows what else. Let's select the first of these hypotheses (the form that is too complex), which will be the one from which to start the implementation of the A/B test.