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Bayesian
Bayesian methods apply probability theory in a way that continuously refines predictions based on incoming data. Unlike classical statistics, which rely on fixed assumptions, Bayesian analysis adapts as new information emerges. In A/B testing, this approach can show the likelihood of one variation outperforming another in real time, without waiting for a fixed sample size. It gives decision-makers faster, more flexible insights into experiments.
Explore more Glossary terms
Bucket testing is another term for A/B or multivariate testing where users are split into groups (“buckets”).
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Breadcrumb navigation is a secondary navigation system showing a user’s location within a site hierarchy.
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Brand engagement is the emotional connection and interaction between a customer and a brand.
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Bounce rate is the percentage of visitors who leave a site after viewing only one page.
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Below the fold refers to the part of a webpage that users see only after scrolling.
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Behavioral targeting is the practice of delivering ads or content based on a user’s past actions and behaviors.
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