This article describes how a Tealium Predict ML data model works and the components of a model.
In this article:
Tealium Predict works with the Tealium AudienceStream CDP product to evaluate visit and visitor-level attributes. These attributes are used to create data models used to predict specific user actions.
Here's how it works:
The readiness of an attribute displays next to each attribute in the drop-down list of available attributes. This feature helps you determine, in advance, whether an attribute candidate is a Ready or Not Ready to use as a target output attribute, as shown in the following example.
When defining a model, each attribute in your AudienceStream profile is reviewed to automatically determine the top attributes that have a predictive relationship for the action you want to predict.
See Advanced Configuration Options for the specific steps used to exclude one or more attributes from your model.
Go to Adding a Model to get started.