The process of predictive personalization involves several steps: 1. Data Collection: Gather data from various sources such as past purchase behavior, browsing history, and email interactions. 2. Data Analysis: Utilize machine learning algorithms to analyze the data and identify patterns. 3. Predictive Modeling: Develop models to predict future behavior and preferences. 4. Content Personalization: Customize email content based on the predictions to match individual preferences.