Iterable AI examines historical customer engagement data stored in your Iterable project and uses it to help you send personalized messages, at the right time, to each of your contacts.
For more information, read the following guides:
Brand Affinity translates email, push and in-app engagement data into dynamic, per-user labels that reflect user sentiment for your brand. Use these labels in segmentation, campaigns, journeys, data feeds and Catalog collections to send relevant, personalized messages that maximize retention, nurture customer relationships, and mitigate churn before it happens. This guide describes how to use Brand Affinity.
Send Time Optimization helps you send messages right when contacts are most likely to open and read them. For each recipient of a campaign, it examines historical engagement behavior to determine an optimal send time within a window that you specify. This guide describes how to use Send Time Optimization with campaigns, journeys and experiments.
Predictive Goals helps you identify which customers are most likely to convert on your business goals in the future, so you can connect them with experiences that match their interests, while promoting the outcomes you seek.
Using criteria you define, Predictive Goals analyzes your project's relevant user properties and first-party data (like purchase, system, and custom events) and returns an interactive chart where you can select user segments for use in other parts of Iterable.