Probabilistic Decision-Making
A/B testing is a method of comparing two versions of a webpage, product, or service to determine which one performs better based on a specific metric, such as conversion rate. This technique is crucial for making data-driven decisions, as it allows organizations to experiment with changes and identify the most effective options. By analyzing results statistically, A/B testing helps in understanding user preferences and optimizing strategies accordingly.
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