Content Delivery for Advertising & Marketing

Deliver your digital marketing and advertising content at minimum latency with AWS

With AWS services you can securely deliver advertising content to relevant audiences with low latency and high transfer speeds. With the global reach of the AWS network you can speed up delivery of web and mobile content, scale applications and reduce traffic to the origin server, resulting in a cost effective data transfer without having to provision and manage additional services. AWS enables you to provide an enhanced customer experience through personalized ads, customizable rules, and detailed tracking.

 

AWS for Digital Marketing - Content Delivery (1:22)

Use Cases

  • Marketing Data Lake
  • Advertising Technology
  • Customer Data Platform
  • Personalization
  • Messaging & Campaigns
  • Digital Customer Experience
  • Marketing Data Lake
  • Marketing Data Lake

    Transform marketing analytics, advertising and customer experiences across channels by centralizing marketing data into an AWS data lake and data warehouse

    Centralize marketing data in an AWS data lake and make it easy for applications across your marketing technology stack to access customer data, campaign metrics, consumer behavior, web analytics, purchase history and data from marketing technology partners—enabling teams to use machine learning more effectively, understand the complete customer journey, and develop transformational customer experiences across all channels.

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    Why AWS?

    Breadth & Depth

    No cloud has more purpose-built services for database, analytics or machine learning than AWS—especially services for storage, processing, real-time analytics, forecasting and visualization.

    Amazon Advertising Ecosystem

    Increase agility and simplify data integrations using the same cloud as Amazon Advertising and the most popular cloud provider for agencies and advertising technology partners.

    Security

    S3 is the only cloud storage platform that allows you to apply access, log, and audit policies at the account and object level.

    Experience

    10,000 data lakes run on AWS—no cloud provider has more big data experience, availability or reliability.

    Case studies

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    McDonald's

    McDonald’s uses AWS to build a cloud-based global data & analytics platform tracking customer behavior on 71M orders in 100+ countries per day, with 6,000 menu items. Moving from a siloed structure with limits on scale, data availability and analysis, McDonald’s used an AWS data lake, Amazon Redshift, AWS Glue, Amazon Athena and other analytics tools to provide reliable, easy-to-query self-service tools for developers and teams worldwide.

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    Coca-Cola

    Coca-Cola migrated its digital marketing systems to AWS, including nearly 100 sites in 9 months, adding auto-scaling across environments and reducing IT costs by 40%.

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  • Advertising Technology
  • Advertising Technology

    Easily create sophisticated, real-time advertising analytics for any campaign on any channel, including Amazon Advertising, with a one-click setup for a data lake.

    Understand campaign performance, onboard audience segments and improve effectiveness with real-time advertising analytics for campaigns across channels and partners, including Amazon Advertising. Improve frequency capping and effectiveness of media spending by building a data management platform (DMP) that collects, processes & unifies consumer data into powerful audience segments that improve match rates and generate higher conversions in programmatic ad buys across channels & devices. Set up your own demand-side bidding platform with AWS partners to optimize your programmatic advertising supply chain.

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    Why AWS?

    Innovate beyond the limits of on-premises infrastructure

    With more compute capabilities, networking services, analytics and machine learning tools than anyone, AWS continues to be the cloud standard for advertising platforms that bid, serve or analyze hundreds of billions of ads per day at single-digit millisecond latency,

    More availability zones closer to consumers and partners

    AWS enables advertising technology firms to get closer to local worldwide and consumers at the edge, with 69 availability zones in 22 regions and 199 edge locations across 37 countries and 78 cities.

    Save up to 70% on analytics and 25% on real-time bidding costs

    Create more opportunities to optimize costs on ultra-low latency advertising and petabyte-scale analytics workloads than anywhere else leveraging AWS services without any comparable substitute, including Amazon EC2 Spot Instances.

    Performance at scales that would otherwise break the internet

    Unmatched elasticity, reliability, availability and security from the most widely-adopted cloud, with 7x fewer downtime events than the next largest cloud provider.

    Case studies

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    Annalect

    “We built a solution on AWS to manage, enhance, and analyze event log data from our ad technology partners. This scalable, on-demand architecture has proven to be a high-performance solution for our analytics users and is very cost-effective.” – Eric Whitney, CTO, Annalect

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    Salesforce DMP

    “Acquired and scaled a global customer base without any concern about the limitations on the amount of data it can process. Our platform captures data from interactions from three billion devices and about 40 billion page views each month.”

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    The Trade Desk

    The Trade Desk used more than 70 AWS services to build real-time bidding sites in Tokyo, Hong Kong, Singapore, and Frankfurt, while processing 800 billion queries per day and 10 million per second. “It used to take somewhere between 3-6 months to build out a new site when we were entering a new market. With bidding in the cloud, that’s cut down to 2-3 weeks. There’s much more agility.”

    - Zak Stengel, SVP Engineering, The Trade Desk

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  • Customer Data Platform
  • Customer Data Platform

    360-degree understanding of customer behavior with easy-to-implement identity graph technology

    Collect, unify and map billions of customer data points across devices and channels to see 360-degree view of individual customer behavior, build audience segments, improve ad targeting, personalization, and attribution.

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    Why AWS?

    Unmatched technology

    AWS is the only cloud with a purpose-built, fully managed graph database service available worldwide—Amazon Neptune—a high-performance graph database engine optimized for storing billions of relationships and querying user relationships with milliseconds latency.

    Experience

    More experience with big data workloads than any other cloud—more than 10,000 data lakes run on AWS.

    Unmatched Security

    Cloud security at AWS is the highest priority. As an AWS customer, you will benefit from a data center and network architecture built to meet the requirements of the most security-sensitive organizations.

    Case studies

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    Zeta Global

    Zeta Global uses Amazon Neptune to unify 450M events per day into 1B user profiles that they use for people-based targeting and audience enrichment. “By leveraging [Amazon] Neptune and other AWS services, we were able to achieve a cost-efficient data platform at scale in a very short period of time.”

    - Sasikala Singamaneni, Engineering Manager, Zeta Global

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  • Personalization
  • Personalization

    Personalized, AI-enabled customer experiences with no ML expertise required

    Companies with no prior machine learning experience can easily build sophisticated capabilities into their applications to improve effectiveness and scale for personalization, voice, translation, and image recognition. Use Amazon Personalize, a machine learning service that makes it easy for developers to create individualized recommendations for customers using their applications, to reach customers with timely, relevant, personalized messages at every conceivable touchpoint. Create applications with highly engaging voice experiences and lifelike conversational interactions in minutes using Amazon Lex, a fully managed machine learning service for building conversational interfaces into any application using voice and text.

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    Why AWS?

    Unmatched technology

    Amazon Personalize, a machine learning service that makes it easy for developers to create individualized recommendations for customers using their applications, means marketers with no prior machine learning experience build sophisticated, personalized experiences quickly.

    Business Agility

    AWS will process and examine the data, identify what is meaningful, select the right algorithms, and train and optimize a personalization model that is customized for your data.

    Cost-Leadership

    AWS helps companies reduce costs of data pre-processing and model training with EC2 Spot Instances, AWS data lakes and managed machine learning services.

    Case studies

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    Domino's Pizza Enterprises Ltd.

    "The customer is at the heart of everything we do at Domino's and we are working relentlessly to improve and enhance their experience. Using Amazon Personalize, we are able to achieve personalization at scale across our entire customer base, which was previously impossible. Amazon Personalize enables us to apply context about individual customers and their circumstances, and deliver customized communications such as special deals and offers through our digital channels."

    - Allan Collins, Group Chief Marketing Officer - Domino's Pizza Enterprises

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    Subway

    The Subway restaurant chain offers guests in over 100 countries quality ingredients and flavor combinations with nearly 7 million made-to-order sandwiches created daily.
    “At Subway, guest experience matters. Using Amazon Personalize, we can quickly deliver personalized recommendations for our endless varieties of ingredients and flavors to fit the unique lifestyles of our busy guests. Amazon Personalize lets our team use simple API calls to curate recommendations without requiring machine learning expertise. We are looking forward to continuing to work with Amazon Personalize to provide the best experience to our guests who want to eat fresh. We have already successfully tested using Personalize to provide recommendations to guests making orders from our app, and are excited to expand into personalized app notifications in the near future.”

    - Neville Hamilton, Interim Chief Information Officer – Subway

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    Liberty Mutual Insurance

    “With the growing importance of cognitive technologies in every area of business, we were delighted to see Amazon Lex, with its Speech Recognition and Natural Language Understanding technologies, added to the broad portfolio of services AWS provides. Amazon Lex integrates easily into our existing applications, as well as our new cloud-native serverless architectures, enabling us to rapidly take advantage of these powerful technologies to improve and extend the capabilities we can offer our employees and customers.”

    - Gillian Armstrong, Technologist, Liberty Mutual

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  • Messaging & Campaigns
  • Messaging & Campaigns

    Simple, scaled messaging automation for email, SMS, push notifications and voice on a pay-as-you-go model

    Reach millions of customers at low-cost with targeted audience segmentation and personalized messages with Amazon Pinpoint, Simple Email Service (SES) and Amazon Personalize. Send messages through email, SMS, push notifications, and voice channels and analyze results. Use Amazon Pinpoint to personalize, customize and automate segmentation to deliver the right messages to the right people at the right time.

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    Why AWS?

    Pay-as-you-go model

    Pay-as-you-go model for Amazon Pinpoint and Amazon Personalize. Start sending messages immediately without upfront commitments or costs.

    Broadest ecosystem of partners

    Broadest ecosystem of partners in marketing automation and CRM than any other cloud provider—enabling seamless integration and fast time-to-market.

    Fast, secure data integrations

    Fast, secure data integrations with SaaS automation and email marketing vendors using Amazon PrivateLink, which enables you to connect your VPCs to AWS services and SaaS applications in a secure and scalable manner.

    Case studies

    Disney Streaming Services

    Disney Streaming Services uses Amazon Pinpoint to dynamically create unique segments and campaigns for every Major League Baseball's apps in milliseconds—and then send messages to multiple cohorts of users dynamically. In the most demanding usage scenarios, Amazon Pinpoint scales to create over 300 segments and campaigns per hour, and over 20 segments and campaigns per minute.

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  • Digital Customer Experience
  • Digital Customer Experience

    Connect sophisticated machine learning and end-to-end analytics across digital customer experiences with AWS and the broadest marketplace of partners

    Build and run digital customer experiences in the cloud—including ecommerce platforms, content management systems, mobile applications and websites, and smart products—to create end-to-end attribution and campaign activation through AWS analytics and machine learning tools. Leverage the broadest partner ecosystem of any cloud provider to set up digital customer experiences in the cloud quickly.

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    Why AWS?

    Broadest ecosystem of partners

    Broadest ecosystem of partners in marketing automation and CRM than any other cloud provider—enabling seamless integration and fast time-to-market.

    Pay-as-you-go model

    Accelerate time-to-market for new marketing sites, mobile and web applications with unmatched capabilities for web hosting, computing, storage and more global regions than any other cloud provider.

    Unmatched Technology

    Amazon Personalize allows you to personalize experiences for your customers with the same recommendation technology used at Amazon.com—without any previous machine learning experience required.

    Case studies

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    Unilever

    Unilever “improved time to launch for a digital marketing campaign from two weeks to an average of two days. That’s more than seven times faster than our traditional environment. If a brand manager has an idea, he or she can implement it before the competition.” - Sreenivas Yalamanchili, Digital Marketing Services (DMS) Global Technical Manager. Unilever has more than 1,700 web properties running on AWS worldwide.

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    Under Armour

    Under Armour is now able to elastically scale its Connected Fitness apps up or down based on user demand. “Moving to the AWS Cloud has enabled us to optimize all our apps for our global user base,” says Demmel. “We can scale dynamically and automatically provision new instances to support traffic spikes on weekends for some apps and early in the work week for others. We weren’t able to do that previously. By relying on AWS, we can innovate faster and deliver the features our users are asking for. We deploy new code to production multiple times a day, and the AWS Cloud helps us do that more easily.”

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AWS Reference Architecture

Ad Serving

AWS provides services and infrastructure to build reliable, fault-tolerant, and highly available ad serving platforms in the cloud. In this document, we describe the two main parts of such a system: ad serving infrastructure and click-through collection featuring a data analysis cluster.

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Video: Enhancing Video Center Operations

Deliver and Monetize Your Content with Video Center Operations on AWS

The flexibility of AWS provides many advantages in the processing and delivery of bursty video applications such as video on demand and live events. Learn how Elemental and AWS are architecting media-centric playout, monetization, and delivery services on top of AWS.

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Video: Enhanced Caching Strategies

Cache Me if You Can: Minimizing Latency While Optimizing Cost Through Advanced Caching Strateigies

From CloudFront to ElastiCache to DynamoDB Accelerator (DAX), this is your one-stop shop for learning how to apply caching methods to your AdTech workload: What data to cache and why? What are common side effects and pitfalls when caching? What is negative caching and how can it help you maximize your cache hit rate? How to use DynamoDB Accelerator in practice? How can you ensure that data always stays current in your cache?

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