Overfitting is a term commonly used in data science and machine learning to describe a model that has been trained too well on a specific dataset. This means that while the model performs exceptionally well on the training data, it fails to generalize to new, unseen data. In the context of email marketing, overfitting can occur when the strategies and models you use are too finely tuned to past email campaigns, thereby failing to effectively engage new subscribers.