Explain how can marketers can employ each of the following data in predictive analytics.
a. The website’s consumers visit.
b. Consumers’ levels of engagement with visited websites (i.e., the pages viewed, length of visits, frequency of return to the site).
c. Consumers’ interests, lifestyles, and personalities (e.g., from the contents of their blogs, tweets, and Facebook profiles).
d. Consumers’ purchases, almost purchases, abandoned carts, and product returns and exchanges.
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