Several predictive models are commonly employed in email marketing:
Churn Prediction: Identifying subscribers who are likely to unsubscribe or become inactive. Customer Lifetime Value (CLV) Prediction: Estimating the total value a subscriber will bring over time. Segmentation: Grouping subscribers based on similar behaviors and characteristics. Content Recommendation: Suggesting products or content that are likely to interest individual subscribers.