Analytics for Digital Marketing

Build a scalable and advanced analytics pipeline on AWS to further grow your business

To deliver the right message to the right audience at the right time digital advertising companies need to capture and analyze massive amounts of data. Watch a short video to learn how AWS can help you with building a scalable analytics pipeline to grow your digital marketing business.

AWS for Digital Marketing - Analytics & Big Data (1:39)

Use cases

  • Streamlined Data Transfer
  • Streamlined Data Transfer
  • Streamlined Data Transfer

    Kinesis Firehose ingests data to S3 which then holds the raw, pre-processed and post-processted data as a data lake. Run queries using EMR, Athena, Redshift, or Redshift Spectrum. Use Quicksight to visualize data to make informed decisions. If you are running Machine Learning workloads, you can use Spark ML, Python, and MXnet to run ML queries. Use the outcome of the analysis to increase targeting accuracy and optimize targeting algorithms.


Case Study: DataXu Evaluates 30 Trillion Ad Opportunities Monthly on AWS

DataXu provides programmatic software that helps advertisers save money and increase sales by analyzing and acting on massive amounts of data. An on-premises IT infrastructure created cost and scale issues, so it turned to AWS to run its big data processing platform. The result is cost savings of up to 72 percent a month, a greater reach into a customer base that spans 50 countries, and the ability to process 86 billion messages daily using Amazon Kinesis.

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Video: MediaMath’s Data Revolution with Amazon Kinesis and Amazon EMR

Watch this session that discusses how to build scalable, complex, and cost-effective data processing pipelines using Amazon Kinesis, Amazon EC2 Spot Instances, Amazon EMR, and Amazon Simple Storage Service (S3). Learn how MediaMath revolutionized their data delivery platform with the help of these services to empower product teams, partners, and clients.

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