Dynamic Segmentation

User Attribute and Action-Based Targeting

Dynamic segments update automatically, allowing you to forget about manually maintaining lists and give your customers more personalized experiences. Create segments based on:

• User actions
• User properties
• AI predicted user properties

Automated Segmentation

Our automated segmentation machine learning model assigns each user to a segment and score based on their purchase activity that gives marketers the ability to deliver highly targeted messages to improve engagement, retention, and monetization of customers.

Propensity to Purchase

Similar to our automated segmentation model, our propensity model assigns each user a score (from 0 to 100) based on multiple factors, what the likelihood that the user will convert to a purchaser.

Predicted Lifetime Value (LTV)

Using your customers activity, our model automatically segments your entire customer records based on what the predicted values you can expect from each customer. This segmentation is dynamic and updates continually based on changes in the data as individual customers frequently change over time.

Personalization (Coming Soon)

Using out AI model, we’ll use your customers purchase behavior to generate a list of products the customer might like.