Predictive Segments are AI-driven segmentation groups that classify users based on behavior, shopping frequency, and personal interests. These segments help you anticipate user actions and deliver targeted campaigns with higher conversion potential.
Further reading: Predictive Segments.
Predictive Segment Types
Predictive segments have the following sections:
Likelihood to Purchase
Predicts the probability a user will make a purchase in the next 7 days, using real-time behavioral data.
Example: Likelihood to Purchase - is - High → Target high-LTP users with promotions or reminders.
Customer Lifecycle Status
Categorizes users by stage in the customer journey (e.g., Visitor, Potential Buyer, Customer).
Example: Customer Lifecycle Status - is - Potential Buyer → Nurture users toward conversion.
Discount Affinity
Classifies users based on their response to discounts, distinguishing discount seekers from premium shoppers.
Example: Discount Affinity - is - High → Send higher-than-average discount offers or coupons.
Attribute Affinity
Segments users who have a preference for specific categories, products, or custom attributes based on past interactions.
Example: Attribute Affinity - is - {Category} - {Product} → Show tailored product recommendations.
Use Cases
Target high Discount Affinity users with price alerts via Web Push for above-average discounts or offer coupons (Scratch Coupon / Side Coupon Menu).
Engage Attribute Affinity users with banners showcasing their preferred categories or products.