Customers are automatically segmented according to our data—such as based on their purchase history and preferences. These segments are currently represented using tags, which you can view on a member's profile in the Hub, and use to build more targeted campaigns.
Segments are organized according to different categories. The auto segment format is: *Category|Type|Value*
For example: *Behavior|RFM|Champion*
There are several types of segment categories, such as:
- Behavior - buying habits, performance, campaign responsiveness, and more
- Prediction - predicts future segments like VIP members
- Personal - info offered by member like lifestyle (such as vegan), or lifestage (such as student)
Segment Type: Behavior
Here are some behavior-related segment types.
|Days Since Last Visit||
The number of days since the last time they made a purchase. Here are the possible values and their descriptions:
Segments created based on how much the member spents, and how recently and often they visit (Learn More):
Note: This tag is updated monthly.
Segment Type: Personal
Here are some personal segment types.
The branch that the member visited the most based on their purchase history (and taking into account the recency of the visits). If you're running a campaign for a specific location, you can use this to target members who favor this location.
|2nd Preferred Location||
A secondary branch the member substantially visited based on their purchase history (and taking into account the recency of the visits). If you're running a campaign for a specific location, you can use this to target members who favor this location.