Customer-expressed preferences

A customer might let an ecommerce website she has shopped on know that she is interested in a particular category of items. Figure 5-2 shows the user profile preferences that Amazon.com offers to its users. By letting Amazon know you are interested in a particular topic such as marketing, you are allowing them to create a need for you. When the site receives new books on marketing, it can alert you of the new arrivals.

Customer purchase history

Based on a customer’s purchase history, a website can determine that the customer would be interested in a particular product. If you bought the latest technology item from a particular website, and that website now offers a complementary or similar item at a discount, the website can notify you.

Customer-implicit preferences

A particular website can use business intelligence software or methods to determine what information a customer is interested in. If you visit an ecommerce website multiple times, and on every visit you navigate to the same category and examine the same item, the website can use that information to send you a special offer for that line of products. It can also use the same information to display these items on the website on your next visit. For instance, an apparel store can look at buying trends and decide that a particular segment of its customers is always interested in buying new lines of clothes as they become available from designers.

Figure 5-2 shows email preferences on Amazon.com. When a customer tells Amazon she is interested in a particular topic, she is allowing Amazon to stimulate her needs when a new item arrives or if items go on sale.

Figure 5-2. Email preferences on Amazon.com