There are several types of predictive models commonly used in email marketing:
Regression Analysis: Predicts the relationship between variables, such as the impact of email frequency on open rates. Classification Models: Categorize subscribers into different segments based on their behavior. Clustering Models: Group similar subscribers together for more targeted campaigns. Time Series Analysis: Predicts future trends based on historical data. Churn Prediction Models: Identify subscribers who are likely to unsubscribe, allowing for proactive retention strategies.