Traditional A/B testing splits traffic 50/50 until statistical significance is achieved, wasting valuable leads on underperforming copy. Dynamic outreach engines employ Multi-Armed Bandit (MAB) algorithms that automatically route traffic toward the highest-converting subject lines in real-time.
1. Thompson Sampling in Email Subject Line Optimization
Thompson sampling models conversion rates as Beta distributions $\text{Beta}(\alpha, \beta)$, where $\alpha$ represents positive replies and $\beta$ represents un-replied sends. The algorithm draws random samples from each distribution and selects the subject line with the highest simulated yield, continuously adapting to live recipient feedback.
