The process begins with data collection, where algorithms gather information across multiple channels. This data is then processed and analyzed to identify patterns and preferences. Machine learning models are often employed to predict future behavior and suggest content that aligns with subscriber interests. The algorithms can adjust the email's subject lines, body content, product recommendations, and even sending times to optimize open rates and click-through rates.