How can A/B testing be utilized to optimize content performance, and what are the best practices for conducting these tests?

A/B testing involves comparing two versions of content to determine which performs better in achieving specific goals, such as click-through rates or conversions. Best practices include defining clear objectives, ensuring a large enough sample size for statistical significance, testing one variable at a time, and running tests simultaneously to avoid temporal biases. Analyzing results helps refine content strategies for improved performance.