To build effective predictive models, a variety of data is required, including:
Customer Demographics: Age, gender, location, and other demographic information help in understanding customer segments. Behavioral Data: Information on how customers interact with previous email campaigns, such as open rates, click-through rates, and conversion rates. Purchase History: Data on past purchases can help predict future buying behavior and preferences. Engagement Metrics: Metrics like time spent on site, frequency of visits, and past interactions with the brand.