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.
Predicted Customer Lifetime Value (CLV)
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.
Market Basket Analysis
Identify the relationship between items that are more frequently bought together. This process analyzes customer buying habits by finding associations between the different items that customers place in their shipping cart.
Predicted Gender
We use your customers’ first names to predict their gender, which can be used to segments users to activate with gender-specific campaigns.
