Explain how marketers can use each of the following pieces of data in predictive analytics:

a. The websites 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. Visitors’ and consumers’ interests, lifestyles, and personalities

(e.g., from the contents of their blogs, tweets, and Facebook profiles).

d. Visitors’ purchases, almost purchases, abandoned carts, and product returns and exchanges.