predictive modeling

What Data is Needed for Predictive Modeling?

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.

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