Some of the common predictive models used in email marketing include:
Regression analysis: Helps predict continuous outcomes like the expected revenue from a campaign. Classification models: Used to categorize customers into different segments. Clustering: Groups customers based on similar characteristics or behaviors. Collaborative filtering: Often used for personalized recommendations.