Customers expect businesses and brands to understand them uniquely and communicate to them with relevant and timely messaging. Rising to meet these expectations, modern data-driven marketers look to data to understand their customers to deliver the right message, on the right channel, at the right time.
Amazon Simple Email Service (Amazon SES) and Amazon Pinpoint provide powerful tools to orchestrate and deliver communications using email, SMS, voice, and mobile push channels. In addition to providing rich dashboards showing aggregate engagement data, both Amazon SES and Amazon Pinpoint allow real-time engagement event streaming to Amazon Kinesis. These events include email sends, email opens, email clicks, email bounces, email spam complaints, SMS sends, SMS failures, SMS opt outs, and custom application events.
Digital User Engagement Events Database automatically provisions and configures the AWS services necessary to start analyzing the real-time stream of engagement data from Amazon SES and Amazon Pinpoint.
The diagram below presents the architecture you can build using the example code on GitHub.
Digital User Engagement Events Database architecture
The code configures an Amazon Pinpoint event stream and an Amazon Simple Email Service configuration set to store event data in Amazon Simple Storage Service (Amazon S3). The Amazon S3 data schema is stored in an AWS Glue Data Catalog enabling data queries with Amazon Athena.
The schema created in the AWS Glue Data Catalog follows data partitioning best practices requiring the new partitions to be added as new data is persisted in Amazon S3.
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