To build an effective predictive model, you need a diverse range of data. This includes:
- Customer Demographics: Age, gender, location, etc. - Behavioral Data: Email open rates, click-through rates (CTR), past purchase history, browsing behavior. - Engagement Metrics: Time spent on emails, response rates, and unsubscribe rates. - Transactional Data: Purchase frequency, average order value, and lifetime value.