Architecture overview - Predictive Segmentation Using Amazon Pinpoint and Amazon SageMaker

Architecture overview

Deploying this solution builds the following environment in the AWS Cloud.


        Predictive Segmentation Using Amazon Pinpoint and Amazon SageMaker  solution - architectural overview

Figure 1: Predictive Segmentation Using Amazon Pinpoint and Amazon SageMaker architecture on AWS

The AWS CloudFormation template deploys a daily batch process orchestrated by AWS Step Functions. The process runs according to the following:

The customer data includes endpoints exported from Amazon Pinpoint and end-user engagement data streamed from Amazon Pinpoint and end-user engagement data streamed from Amazon Pinpoint using the Digital User Engagement Events Database solution. Amazon SageMaker performs batch transform requests to predict customer churn based on a trained machine learning (ML) model.

By default, this solution is configured to process data from the example dataset. To modify the solution by using your own dataset, refer to Using your own dataset.