To predict churn effectively, marketers need access to various data points including:
Email Engagement: Metrics such as open rates, click-through rates, and bounce rates. Website Activity: Data on how subscribers interact with the website, including page visits and time spent. Purchase History: Information on past purchases and frequency of purchases. Demographic Data: Age, gender, location, and other demographic information.