Iterable AI Overview

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.

Brand Affinity™ uses Iterable AI to give each of your contacts a label that describes their sentiment towards your brand, updating it regularly based on recent engagement data. Send Time Optimization helps you send messages to each of your contacts right when they're most likely to open and read them.

To learn more about Brand Affinity and Send Time Optimization, read the guides described below.

# Brand Affinity™

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, workflows, 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

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, workflows and experiments.