Attribution
Intelligent Measurement with Scale and Speed
Using AWS data lakes, databases and machine learning, marketers and data-science teams can track, measure and develop end-to-end reporting to share with teams in real-time. Track billions of events per day, apply machine learning to connect dots from views to purchases—and visualize results for clients and teams across your organization.
Why AWS
Breadth and Depth
Unmatched breadth of purpose-built services for data processing, analytics, databases, and machine learning. Higher rate of innovation in data, ML and analytics than any other cloud provider.
Cost Leadership
Store petabytes of data in Amazon S3, a storage service that offers industry-leading scalability, data availability, security, and performance. Save on machine learning pre-processing and model training with Amazon EC2 Spot Instances, which enables companies to save up to 90% on On-Demand compute instances.
Business agility
Stand up a data lake in days with AWS Lake Formation, reduce time and pre-processing costs with ML workloads, and spend more time experimenting with models that infer attribution.
Customer Spotlight
Nielsen
"Cloud processing allows for greater flexibility and velocity, as we build new and enhance existing products. It will also give us the opportunity to spend more time innovating and less time on managing infrastructure"
- Scott N. Brown, Head of Product, TV and Audio, Nielsen
Quantcast reduced costs by 60% for its QCLearn machine learning system, and 25% less on Amazon EC2 Spot Instances for its real-time bidding solution. “Amazon EC2 Spot Instances are helping us control costs and scale our systems to meet demand.”
Leah Blank, Senior Systems Engineer, Quantcast
Quantcast reduced costs by 60% for its QCLearn machine learning system, and 25% less on Amazon EC2 Spot Instances for its real-time bidding solution. “Amazon EC2 Spot Instances are helping us control costs and scale our systems to meet demand.”
Leah Blank, Senior Systems Engineer, Quantcast