Email Marketing involves various parameters such as subject lines, send times, personalization strategies, and call-to-action buttons. Optimizing these parameters can be challenging due to the high dimensionality and the cost of sending large-scale emails. Bayesian Optimization provides a systematic approach to find the optimal settings for these parameters, thereby improving open rates, click-through rates, and overall campaign success.