ROC AUC is crucial because it provides a single metric that summarizes the performance of your predictive models. When you use machine learning algorithms to predict whether a recipient will open an email or not, the ROC AUC score helps you understand the accuracy of these predictions. A higher ROC AUC score indicates a better-performing model, which means more targeted and effective email campaigns.