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Advertising & Marketing

How Yahoo DSP Supercharged Their Advertising Tech with AWS Graviton processors
Advertising & Marketing

Run ultra-low latency advertising workloads with unmatched cost-performance

Get started with AWS

Ad platforms on AWS

AWS services, solutions, and partners along with the broadest selection of compute and data capabilities help you improve performance and optimize costs. AWS is the cloud standard for advertising platforms that buy, sell, deliver, and measure millions of ad transactions per second. With the growth of digital media, including streaming video and retail media, AWS helps you push the boundaries of performance for advertising platforms.

 

Benefits

AWS offers more sizes and types of compute instances and the fastest processors in the cloud to help customers to choose the most cost-effective and performant instance types for high-scale, real-time workloads.
With AWS, advertising platforms accelerate revenue growth by partnering with the largest community of advertising technology and media partners —including greater flexibility and agility to share, enrich, and activate audiences with media partners on the most widely adopted cloud.
 

Expand into new markets, improve development velocity, and migrate networking-intensive, high-throughput workloads to the cloud more quickly with purpose-built solutions that enable cost-optimization and reduce heavy lifting through cloud-native architectures and services such as Amazon Bedrock, AWS Graviton Processors, and AWS Trainium.
Apply machine learning models and generative AI to unlock insights for predictive analytics so teams can get to insights faster to take action.

Use cases

Use Case

Real-time advertising platforms

The petabyte-scale, millisecond latency world of programmatic advertising brings significant challenges for performance, throughput, latency, and costs to advertising platforms. Real-time advertising solutions provide best practices and reference implementations that accelerate development of cloud-native architectures, reduce network latency, and improve price-performance per billion requests.

Real-time advertising solutions
Use Case

Machine learning for real-time advertising

Apply machine-learning (ML) to quickly analyze real-time advertising data to optimize bidding, cost, and performance for real-time advertising strategies.

Machine Learning (ML)
Use Case

Unlock next-gen measurement and intelligence modeling

Leverage and fine-tune flexible pre-built models and solutions to enable media mix modeling, real-time predictive analytics, and generative AI-enabled ad optimization. Perform advanced cross-channel ad intelligence, measurement, and attribution across large volumes of data without compromising processing time and cost efficiency.

Measurement
Use Case

Generate creative and campaign content

Brands, agencies, and platforms can quickly ideate, create, and test different variations of creative and content to see which ones perform the best across nearly all components of a campaign resulting in high-quality, engaging, and contextually relevant imagery, video, and copy.

Create
Use Case

Enable contextual advertising

Classify content and metadata for creative and content to improve monetization, addressability, and audience experience by optimizing ad placement in contextually-relevant content.

Classify content and metadata
Use Case

Improve audience segmentation and addressability

Recommend and optimize audience targeting and segmentation for advertising campaigns informed by customer journey, experience, and enterprise data.

Customer journey
Use Case

Improve operations

Enhance and automate interactions with customers and scale business operations for platform support, contact center operations, request for proposal (RFP), campaign brief, media planning, and more.

Media Planning