AWS - Personalization - Good Read

Personalize cross-channel customer experiences 

Key steps

• Collect data from multiple sources to store in Amazon Simple Storage Service (Amazon S3).
• Use AWS Step Functions to orchestrate data onboarding and feature engineering.
• Build segments and predictions using SageMaker.
• Use propensity scores for display targeting.
• Send personalized messaging using Amazon Pinpoint.
• Integrate real-time personalized suggestions using Amazon Personalize.

Code Examples - Link

User Segmentation - Link, Amazon Personalise

Data sources connect to AWS Kinesis Link

Build, tune, and deploy an end-to-end churn prediction model using Amazon SageMaker Pipelines

Keep Exploring!!!