Overview
Analysts and developers with an active AMC instance can monitor ongoing campaign performance across metrics such as reach and frequency in addition to dimensions such as geographic area, audience segment, and device. For example, an advertiser can use this solution to combine AMC API results from multiple brand campaigns on AWS, surface consumer segments that have a propensity to purchase products, and prioritize high-performing segments for increased ad spending while reducing wasteful ad spending.
Benefits
Automatically provision AWS services for storing, querying, analyzing, and visualizing data.
Quickly build dashboards to track and monitor the performance of your ad campaigns.
Consolidate data from multiple campaigns into a single, unified view.
Technical details
You can automatically deploy this architecture using the implementation guide and the accompanying AWS CloudFormation template.
Step 1
Data that lands in your Amazon Marketing Cloud (AMC) Amazon Simple Storage Service (Amazon S3) bucket is picked up by the data lake pipeline and moved to the pre-stage S3 bucket.
Step 2
AWS Glue applies transformation logic on the incoming data to prepare it for analysis, storing the result in the post-stage S3 bucket.
Step 3
AWS Lake Formation controls access permissions to the transformed data in the staged S3 bucket.
Step 4
You can access the transformed data using Amazon Athena to run a query analysis on the staged S3 bucket.
Step 5
You can build dashboards in Amazon QuickSight from Athena queries that run on the staged data.
Step 1
Data that lands in your Amazon Marketing Cloud (AMC) Amazon Simple Storage Service (Amazon S3) bucket is picked up by the data lake pipeline and moved to the pre-stage S3 bucket.
Step 2
AWS Glue applies transformation logic on the incoming data to prepare it for analysis, storing the result in the post-stage S3 bucket.
Step 3
AWS Lake Formation controls access permissions to the transformed data in the staged S3 bucket.
Step 4
You can access the transformed data using Amazon Athena to run a query analysis on the staged S3 bucket.
Step 5
You can build dashboards in Amazon QuickSight from Athena queries that run on the staged data.
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