Why Segment and AWS
Segment is the customer data platform that collects, schematizes, and loads all of your customer interactions—from mobile, web, POS, CRM, email, and more—into Amazon S3, Redshift, Personalize, or Kinesis Streams, creating a 360-degree view of your customer across your AWS infrastructure.
Unlock data-driven solutions that drive growth
Digital Customer Experience
Build a 360 view of the customer with AWS and Segment. Unify the customer journey across both online and offline touch points to deliver compelling and relevant customer experiences.
Gain a single customer view with hundreds of out-of-the-box integrations or build custom sources and destinations to collect and send any stream of first-party customer data.
Unlock consistent profiles and audiences across your marketing stack. Activate those profiles in downstream tools for a relevant customer experience with every interaction.
With a common infrastructure for data, you can future proof your tech stack and innovate on customer experience faster.
Data and Analytics
Manage data complexity at scale across multiple tools and teams. With accurate and high quality data, your company can uncover insights to make decisions that drive results.
Standardize data collection throughout your organization. Keep your teammates in sync with a shared and enforceable data dictionary.
Diagnose data quality issues before they impact production. Automate the QA process with real-time data validation and violation reporting to ensure perfect implementations.
Keep the data in your marketing or analytics tools and warehouses clean. Quarantine data that’s not up to spec and resolve errors during implementation, so you can trust the data that runs your business.
Build, train, and deploy machine learning models faster with AWS Personalize and Segment. Collect and route consistently formatted customer data to train models and trigger accurate personalization.
Save engineering hours by using Segment to automatically structure customer data for use in Machine Learning applications.
Build and power machine learning models tailored to your business and customer needs with Segment and AWS.
Combine both historical user activity and demographic data to build granular audiences and sync them across all your tools. With accurate user profiles, deliver recommendations and personalized experiences at scale.
Instantly load your customer data into AWS
Loading all of your first-party data into Amazon Redshift, streaming it into Kinesis, and getting raw data into Amazon S3–all while ensuring it is clean and schematized–is not an easy task. Instrument Segment once, for a 360-degree view of your customer across your AWS infrastructure.
Get more out of AWS with Segment
Automatically access raw, first-party data in AWS services like Amazon Athena, Glue, SageMaker, Personalize, or Lambda to solve complex business problems like building recommendation engines or identifying and filtering malicious bot traffic.
Stream schematized data directly to Amazon Kinesis. Engineers and data teams can leverage real-time personalization and analytics–informed by a complete set of historical interactions-for a consistent customer experience across all devices.
Eliminate data prep and the need to build and maintain complex data pipelines. Segment provides upstream data governance and data schematization for a central customer data repository, that everyone can trust.
Run code for virtually any type of application or backend service - all with zero administration. Just upload your code and Lambda takes care of everything required to run and scale your code with high availability.
Amazon Personalize is a machine learning service from Amazon that makes it easy for developers to create personalized recommendations for their end-users. With Segment, developers can build ML-based personalizations into their application and marketing journey without building new data pipelines or standing up additional infrastructure.
AWS EventBridge is a set of APIs that makes it easy for SaaS providers to inject events for their customers to process inside AWS.