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  • Adobe Systems Case Study

    Adobe Systems provides digital media and digital marketing solutions to customers around the world including consumers, enterprises, and government agencies. By using the AWS Cloud, Adobe can focus on delivering its software products without having to invest in expensive infrastructure.

  • AWS Case Study: AdRoll

    AdRoll, an online advertising platform, serves 50 billion impressions a day worldwide with its global retargeting platforms. By leveraging the scalability and flexibility offered by AWS, AdRoll has been able to grow by more than 15,000% over the last year.

  • AWS Case Study: Fiksu

    Fiksu is a mobile advertising optimization platform that helps companies precisely target key audiences. The company has been doubling in size each year, creating scalability issues. Fiksu turned to AWS to solve the problem, using a full range of AWS services to dramatically scale its production infrastructure to process tens of billions of requests while cutting development time and costs.

  • AWS Case Study: Pixels

    Pixels is a digital-advertising services company that delivers targeted ads to consumers on the web and mobile. The firm runs its ad server and analytics platforms in the AWS cloud. This has enabled Pixels to cut its time to market, excluding hardware procurement, from three months to one month.

  • AWS Case Study: VidRoll

    VidRoll is a video technology and monetization platform for content publishers. VidRoll uses AWS Lambda to power the business logic for real-time ad bidding. Using Lambda, VidRoll developers can focus on product innovations, and the company can grow revenue ten times over without needing to hire additional technical resources.

  • Cadreon Case Study

    Cadreon processes big-data queries from thousands of sources in a few seconds and quickly scales to meet growing demand using AWS. The company provides programmatic advertising solutions to branding companies across the globe. Cadreon runs an audience-insights analytical platform on AWS.

  • CleverTap Case Study

    As a three-man startup born in the AWS Cloud, CleverTap has gone from processing 50 million events per month to 55 billion in just 3.5 years, with a lean staffing model and a heavy reliance on automation. CleverTap is a mobile app analytics and user engagement platform, offering clients advanced segmentation and targeted marketing campaigns. The company has been able to scale rapidly using memory-intensive Amazon EC2 instances on its proprietary NoSQL database. It uses Elastic Load Balancing to distribute often spiky traffic and AWS CloudFormation to deploy an array of AWS resources such as Amazon CloudWatch, Amazon CloudFront, and Amazon S3 for storage.

  • Hiiir Case Study

    Hiiir Inc. reduces IT management costs by 80 percent and achieves speed and agility by moving its core applications and services to AWS. Hiiir Inc. is a leading digital media company in Taiwan providing digital marketing consulting services, application development, and e-commerce services. The business is using Amazon EC2, Amazon Route 53, Amazon CloudFront, Amazon ElastiCache, and other services to run its e-commerce platform friDay and online-to-offline (O2O) service Alley App.

  • Instapage Case Study

    Using AWS, Instapage increased customer in-app activity by 10 percent, enabled marketing and customer success with powerful on-demand reporting, and identified a billing error that will save the company tens of thousands of dollars. The company offers a software-as-a-service solution to build and optimize landing pages for advertising campaigns. Instapage’s data team implemented Amazon Redshift—alongside various analytics tools—to aggregate, warehouse, and synthesize data on a 2 TB cluster.  

  • Jampp Case Study

    Jampp now processes 250 times the amount of customer data while saving two-thirds on processing costs using AWS. The company uses big data and machine learning algorithms to help its clients—from Twitter to Uber—drive users to their mobile apps. It does this using AWS technologies including Amazon Kinesis, AWS Lambda, and Amazon DynamoDB.

     

  • Movable Ink Case Study

    Movable Ink uses AWS to query seven years’ worth of historical data and get results in moments, with the flexibility to explore data for deeper insights. Movable Ink provides real-time personalization of marketing emails based on a wide range of user, device, and contextual data, driving higher response rates and better customer experiences. The company uses the Amazon Athena serverless query service to analyze data stored in Amazon S3, gaining insights to improve results for customers’ marketing campaigns.

  • NetSeer Case Study

    NetSeer reduces costs, improves the reliability of its real-time ad-bidding cluster, and delivers 100-millisecond response times using AWS. The company offers online solutions that help advertisers and publishers match search queries and web content to relevant ads. NetSeer runs its bidding cluster on AWS, taking advantage of Amazon EC2 Spot Fleet Instances. 

  • Unified Case Study

    Unified uses AWS to ingest terabytes of advertising data daily, aggregating and analyzing the data and providing insights to media buyers and brand managers. The company helps customers manage their social media advertising investments and insights in real time. Unified runs its advertising and marketing analysis platform on AWS.

  • Vidyard Case Study

    Vidyard uses AWS to ensure seamless video upload and playback capabilities, deliver 30 percent faster video upload times, and give its customers confidence in the security of their data. Based in Canada, the company provides a video-hosting platform that shows customers specifically how and when viewers watch their videos. Vidyard is all in with AWS, running its complete video platform on the AWS Cloud.

  • Vpon Case Study

    Vpon is on target to cut infrastructure costs by 50 percent by moving its mobile advertising analytics platform to AWS. Founded in 2008, Vpon provides mobile advertising services, including analytics, for businesses such as McDonald’s, Coca-Cola, American Express, and Citibank. The company is using Amazon Redshift to provide highly accurate client reports in real time.  

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