Advertising & Marketing Case Studies

Advertising & Marketing Technology Customer Stories

Leading first party data platforms on AWS

Cox automotive

Cox Automotive built an identity graph for marketing personalization without using third-party cookies. They used deterministic and probabilistic data science to match online to offline data, and group data into households.

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Segment

Segment is a customer data infrastructure company that helps its customers collect and unify data about their users—using AWS to process 450 billion events per month and create personalized recommendations from that data with Amazon Personalize.

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Nielsen

Nielsen built a serverless, containerized data pipeline using AWS Lambda and Amazon Elastic Kubernetes Service (Amazon EKS) to process 250 billion ad measurement events per day for Nielsen Marketing Cloud.

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Annalect

Annalect cost-effectively processes more than 3 trillion events and petabytes of demographic data, purchase data, television viewership, location data, clickstream web events, and CRM data to form a 360-degree view of customer behavior for its people-based marketing platform, Omni.

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Leading examples of data sharing & interoperability on AWS

Merkle

Merkle developed solutions for identity resolution, customer 360s, and data clean rooms for privacy-safe analytics with AWS, enabling marketers to unify customer data and run analytics for audience segmentation, activation, and measurement. In 2020, Merkle became an AWS Select Consulting Partner, signed an AWS strategic collaborative agreement, and accelerated the development of its solution for mutual customers. 

“AWS brings the technology, and Merkle brings our marketing expertise so that we can create something of value to our end customers” 

Ankur Jain, Senior Vice President and Global Cloud Practice Lead - Merkle

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Amazon Advertising

Amazon Advertising built Amazon Marketing Cloud, a secure, privacy safe, and cloud-based clean room workspace that enables advertisers to easily perform analytics across pseudonumized data to generate aggregated reports.

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Publicis Media

Publicis Media used AWS to build a machine learning framework for audience segmentation and propensity scoring designed to be portable—enabling Publicis Media to spin up their inside its customers' AWS accounts to comply with data sovereignty and privacy laws and analyze data locally without moving it. “The flexibility of AWS really makes it extremely scalable and versatile so that we can tackle as many different client datasets as possible,” says Patrick Houlihan, SVP of Decisioning at Publicis Media.

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Customers innovating with AWS advertising intelligence capabilities

AppsFlyer

AppsFlyer used Amazon SageMaker and AWS Serverless capabilities to build a predictive analytics product in 6 months that predicts the lifetime value of a mobile app user with machine learning—improving accuracy on its attribution modeling and protecting user privacy in compliance with Apple’s iOS 14.

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FreeWheel, a Comcast Company

FreeWheel uses Amazon SageMaker to predict advertising inventory for digital video and linear TV months in advance for billions of ad-serving records per day—reducing overall efforts by 60 percent, costs by 50 percent, and improving accuracy of its predictions.

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TripleLift

Programmatic advertising technology company TripleLift pioneered a solution for dynamically inserting product placement ads into streaming TV shows by using a combination of custom-built models and machine learning (ML) on Amazon Web Services (AWS).

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Publicis Media

Publicis Media built a machine learning pipeline that provides media buyers with highly-accurate recommendations on audience segments using Amazon EMR and Amazon Redshift.

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Leading advertising platforms on AWS

The Trade Desk

The Trade Desk uses Aerospike, a low-latency NoSQL database platform, running on Amazon Web Services (AWS) to support millions of queries per second at the edge for real-time bidding and peak loads of 30 million writes per second in its cold storage of user profiles.

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Integral Ad Science

Integral Ad Science (IAS) is a global leader in digital ad verification, ensuring that ads are viewable by real people in safe and suitable environments. The company migrated all-in to AWS in 2020.

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NextRoll

NextRoll builds its industry-leading marketing technology and data stack on AWS to fuel growth for businesses of all kinds via AdRoll, RollWorks, and NextRoll Platform Services. The company reduced by 50% using AWS Graivton2-based Amazon EC2 instances.

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Nielsen

The Nielsen Company migrated its National Television Audience Measurement platform to Amazon Web Services (AWS) and built a new, cloud-native local television rating platform that increased its reporting capabilities from 40,000 households daily to more than 30 million households each day.

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Leading customer experience platforms on AWS

Acoustic

Acoustic, built on an amalgamation of technologies and companies acquired by its former parent company, migrated to AWS over the course of 10 months and saw a 60% optimization in cost, as well as benefits such as improved scalability, boosted performance, higher availability, and faster innovation. 

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Braze

Braze uses Amazon Web Services (AWS) to collect, process, and analyze more than half a trillion pieces of consumer behavior data per month to build audience profiles and improve personalized messaging.

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 SparkPost

As the biggest global sender of commercial email, SparkPost migrated to AWS for email delivery and data-analysis workloads and saw 30 percent drop in cost per thousand emails sent—or cost per mille (CPM)—improved elasticity, resiliency, and security.

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HubSpot

HubSpot chose AWS as its preferred public cloud provider, using AWS to support 450+ micro services, delivering features ranging from email delivery to automated marketing workflows.

“Scale and the ability to innovate at a faster rate are immensely important for our business, which is why we chose to take a cloud-first approach with AWS, making it our preferred cloud provider.” 

Brad Coffey, Chief Strategy Officer - HubSpot

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