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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
AWS for Digital Marketing - Analytics & Big Data

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.

AWS for Digital Marketing - Analytics & Big Data
Ad performance Reporting with Redshift: Data Science, Queries at Scale
Ad Performance Reporting with Redshift: Data Science, Queries at Scale

Amazon Kinesis simplifies the process of building applications for streaming data ingests data streams on performance and user data in real time and enrich, analyze, and act on them.

 

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A server-less interactive query service, Amazon Athena simplifies data analysis for ad targeting algorithms. Just store impression data in S3 and use standard Standard SQL with Athena to run your analysis

 

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To analyze campaign details and provide campaign reports to customers, upload impressions, clicks, and activities data to Amazon S3. Amazon EC2 instances can consume and analyze the data. The processed data is then moved to an Amazon Redshift data warehouse for interactive analysis.

 

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Amazon ElastiCache is a web service that makes it easy to deploy, operate, and scale an in-memory data store or cache in the cloud.

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Amazon DynamoDB is a fast and flexible NoSQL database service for all applications that need consistent, single-digit millisecond latency at any scale. Its flexible data model, reliable performance, and automatic scaling of throughput capacity, makes it a great fit for AdTech applications.

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AWS also offers all popular deep learning frameworks such as MXNet, Caffe2 and TensorFlow on high performance GPU instances. With AWS’s machine learning capabilities, you can quickly build or optimize ad serving algorithms to increase relevancy and performance.

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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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This session 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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Many of the popular digital marketing and advertising companies are running their analytics pipeline on AWS. Start your AWS Cloud journey today.

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