AWS Messaging & Targeting Blog
Category: Amazon Personalize
Build AI and ML into SMS for customer engagement
Create more engaging customer experiences with AI / ML-powered SMS communication Today’s customer expects the ability to engage with businesses through various communication channels like email, SMS, Push notifications, and in-app notifications when they have a question or need a problem resolved. SMS is one of the fastest growing communication channels, and we’ve seen that […]
Target your customers with ML based on their interest in a product or product attribute.
Customer segmentation allows marketers to better tailor their efforts to specific subgroups of their audience. Businesses who employ customer segmentation can create and communicate targeted marketing messages that resonate with specific customer groups. Segmentation increases the likelihood that customers will engage with the brand, and reduces the potential for communications fatigue—that is, the disengagement of […]
Predictive User Engagement using Amazon Pinpoint and Amazon Personalize
(Edited November 25, 2019)—We’ve updated this post to include a link to the official Predictive User Engagement solution page. Note: This post was written by John Burry, a Solution Architect on the AWS Customer Engagement team. Predictive User Engagement (PUE) refers to the integration of machine learning (ML) and customer engagement services. By implementing a […]