The category affinity feature automatically captures the categories a user visits and calculates the user's affinity for the category so it can be targeted and segmented on. This helps to ensure that content is targeted to visitors who are most likely to act on that information.
Whenever a user visits your site, profile parameters specific to the visitor are recorded in the Target database. This data is tied to the user's cookie. One particularly useful parameter is categoryId, an mbox parameter assigned on a product page. As the visitor continues to browse, or returns for another session, the categories of products a particular user chooses to see can be recorded. You can also record category information by passing it as the mbox parameter user.categoryId in any mbox (including a nested mbox), or as a URL parameter user.categoryId. Please ask your account representative for more details.
Separate categories with a comma to create separate categories. For example:
Based on the frequency and recency of visits to your product categories, the category affinity (if any) a user has is recorded. Category affinity can be used to target populations for your campaigns.
You can use user.categoryAffinities in a profile script to return an array of the affinities that a visitor has populated.
A visitor's activity in one session, such as which category they visit the most often, can be used for targeting in subsequent visits. Each category page a visitor views during their session is captured, and their "favorite" category is calculated based on a recency and frequency model. Then, every time the visitor returns to the home page, the hero image area can be targeted to show content related to their favorite category.
Example of Using Category Affinity
Suppose you sell musical instruments online and want to target sales promotions on bass guitars to visitors who have already expressed interest in guitars in the past. Using category affinity, you can create offers that display only to visitors with this category affinity.
The category affinity algorithm works as follows:
For example, viewing categoryA then categoryB in one session results in A: 10, B: 5. When the session ends, you will have A: 5, B: 2.5. If you view the same items in the next session, the values change to A: 15 B: 7.5.