Analyzing consumer behavior has traditionally focused on
who they are (age, gender, income, religion) and what they
do (inquiries, purchases, ratings). For example, credit card
companies detect unusual transactions based on purchase
patterns: amount, frequency, location, and category. Marketers
rank customers for potential promotions primarily by what they
have bought before. These techniques were – and still are – quite
effective.