Once you have generated Predictive Attributes, there are several ways to leverage them to engage your users, both within your mParticle and within other tools in your stack.
The first way to leverage Predictive Attributes is to them them as inclusion criteria for an audience, therefore creating a Predictive Audience. To maximize the value of your Predictive Attribute, review the information in the prediction details, and determine the likelihood range that meets your campaign goals and budget considerations.
Once you have determined which user likelihood range to use, you need to manually set it as a Predictive Attribute within a Predictive Audience, or update it on an existing Predictive Attribute within a Predictive Audience. To do this:
For example, to target customers in your prediction’s Most Likely Users range, you would do the following:
You can forward Predictive Attributes directly to third-party tools in the same way you would with any other User Attribute. To do this, create a connection between your Cortex feed input and the partner system of choice as an event integration.
You can also use the Profile API to query user profiles for Predictive Attributes, then use these attribute values to drive personalized recommendations and content suggestions throughout the entire customer journey.
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