A/B testing with appropriate statistical analysis, such as a t-test or ANOVA, is best suited to determine if personalized content significantly increases user engagement. A/B testing, also known as split testing, involves randomly assigning users to two or more groups: a control group that receives standard (non-personalized) content and a treatment group that receives personalized content. User engagement is measured using key metrics such as c....
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