Email Marketing involves several parameters that can be tuned to improve performance, such as subject lines, send times, and content. Traditional methods like grid search or random search can be inefficient and time-consuming. Bayesian Optimization, on the other hand, can significantly reduce the number of experiments needed to find the optimal settings, thus saving time and resources.