Logistic regression is a statistical method used to model the probability of a certain class or event existing, such as pass/fail, win/lose, or in the context of email marketing, whether a recipient will open an email or not. It is particularly useful for binary classification problems. Unlike linear regression, which predicts a continuous value, logistic regression predicts the probability of a binary outcome.