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Encourage Innovation & Secure Buy-In with a Balanced Portfolio of Experiments

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For me, given that I’m a bit of a sucker for semantics, there are two valid interpretations. Other tests are categorized on the basis of the type of insight they validate and activate. You bring innovation and revenue through optimization and personalization, but at the same time, you also validate decisions through testing.

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How to Work with A/B Testing Tools for Optimization Success? Top 6 Factors Explained

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So, the attitude towards the data analysis that informs your hypothesis should be that of business growth. It could be to extract data from multiple tools of your stack and inform hypotheses, send this data to as many platforms as possible including Google Analytics, or run A/B tests on your email marketing campaigns.

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Meta-Analysis in Online Controlled Experiments: An Unbiased Look at the Power and Limitations of This Scientific Method

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How useful is meta-analysis in A/B testing and other online experiments? Or is meta-analysis just a lazy excuse to simply rely on “proven patterns” instead of building on situation-specific data to innovate within your business through experience? What is Meta-Analysis? Examples of Meta-Analysis in Online Controlled Experiments.