A/B testing is as simple as it is efficient – and is therefore quite rightly extremely popular in e-commerce and many other industries. A/B testing provides important insights that can help improve your website performance and contribute to gradual improvements in customer experience. Ideally, the analysis should always starts with the formulation of a test hypothesis. The correct formulation of this hypothesis plays a central role in the success of your A/B tests and the meaningfulness of the test results. Our template serves as an orientation aid that will help you correctly formulate your hypotheses.
Our hypothesis template for A/B testing offers the following support:
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