A/B testing involves sending two different versions of an email to a small part of your audience to see which one performs better. This helps in optimizing subject lines, content, and call-to-actions, ensuring that the final email sent to the larger audience is the most effective. This data-driven approach minimizes guesswork and maximizes results.