A/B testing algorithms work by dividing your audience into control and test groups. The control group receives the original email, while the test group receives the modified version. The algorithm then tracks key performance indicators (KPIs) such as open rates, click-through rates, and conversions to determine which version performs better. Advanced algorithms can also consider factors like time of day and audience demographics.