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Clickstream Analytics on Amazon Web Services
An end-to-end solution to collect, ingest, analyze, and visualize clickstream data inside your web and mobile applications
Homepage » Amazon Web Services Solutions » analytics » Clickstream Analytics on Amazon Web Services
Clickstream Analytics on Amazon Web Services
An end-to-end solution to collect, ingest, analyze, and visualize clickstream data inside your web and mobile applications
Overview
This solution collects, ingests, analyzes, and visualizes clickstream data from your websites and mobile applications. Clickstream data is critical for analyzing user behavior, customer data, and marketing campaigns. This data derives insights into the patterns of user interactions on a website or application, helping you better understand user navigation, preferences, and engagement levels to drive product innovation and optimize marketing investments.
With this solution, you can quickly configure and deploy a data pipeline that fits your business and technical needs. It provides purpose-built software development kits (SDKs) that automatically collect common events and easy-to-use APIs to report on custom events, enabling you to easily send your customers’ clickstream data to the data pipeline in your Amzon Web Services account. The solution also offers pre-assembled dashboards that visualize key metrics about user lifecycle, and advanced exploration analytics models to help you gain deeper insights into user behaviors and goal conversion. You can combine user behavior data with backend business data on Amzon Web Services to create a comprehensive data platform that generates insights to drive business growth.
What’s new | May 2024
- New data schema makes it easier and faster to analyze custom events and parameters
- Added traffic source auto-classification
- Added attribution analysis in analytics studio
- Added React Native SDK
To find out about other new features, refer to Revisions.
Benefits
The solution offers a comprehensive view of dashboards. Furthermore, exploration models allow you to perform complex analytics, such as event, funnel, path, and retention analysis, enabling a deeper understanding of user behavior and engagement patterns.
The solution offers a comprehensive view of dashboards. Furthermore, exploration models allow you to perform complex analytics, such as event, funnel, path, and retention analysis, enabling a deeper understanding of user behavior and engagement patterns.
Clickstream data are available at the finest granularity within the security perimeter of an Amazon Web Services account. You can query, extract, share, and join the user behavior data for multiple use cases.
Clickstream data are available at the finest granularity within the security perimeter of an Amazon Web Services account. You can query, extract, share, and join the user behavior data for multiple use cases.
This solution is built on top of Amazon Web Services serverless analytics services that auto scale for your data volume without requiring you to reserve any resources. Also, unlike other third-party solutions, this solution has no license charge, so you pay only for your actual Amazon Web Services service usage.
This solution is built on top of Amazon Web Services serverless analytics services that auto scale for your data volume without requiring you to reserve any resources. Also, unlike other third-party solutions, this solution has no license charge, so you pay only for your actual Amazon Web Services service usage.
Technical details
The diagram below presents the architecture you can automatically deploy using the solution's implementation guide and accompanying Amazon CloudFormation template.
Amazon CloudFront distributes the frontend web UI assets hosted in the Amazon S3 bucket, and the backend APIs hosted with Amazon API Gateway and Amazon Lambda.
The Amazon Cognito user pool or OpenID Connect (OIDC) is used for authentication.
The web UI console uses Amazon DynamoDB to store persistent data.
Amazon Step Functions, Amazon CloudFormation, Amazon Lambda, and Amazon EventBridge are used for orchestrating the lifecycle management of data pipelines.
The data pipeline is provisioned based on the configurations specified by user in the web console. It consists of Application Load Balancer (ALB), Amazon ECS, Amazon Managed Streaming for Kafka (Amazon MSK), Amazon Kinesis Data Streams, Amazon S3, Amazon EMR Serverless, Amazon Redshift, and Amazon QuickSight.
Amazon CloudFront distributes the frontend web UI assets hosted in the Amazon S3 bucket, and the backend APIs hosted with Amazon API Gateway and Amazon Lambda.
The Amazon Cognito user pool or OpenID Connect (OIDC) is used for authentication.
The web UI console uses Amazon DynamoDB to store persistent data.
Amazon Step Functions, Amazon CloudFormation, Amazon Lambda, and Amazon EventBridge are used for orchestrating the lifecycle management of data pipelines.
The data pipeline is provisioned based on the configurations specified by user in the web console. It consists of Application Load Balancer (ALB), Amazon ECS, Amazon Managed Streaming for Kafka (Amazon MSK), Amazon Kinesis Data Streams, Amazon S3, Amazon EMR Serverless, Amazon Redshift, and Amazon QuickSight.
Related content
In this workshop, you will get hands-on experience in using the Clickstream Analytics on Amazon Web Services solution. It will guide you through an end-to-end process of building a production-level data pipeline, and collecting and analyzing clickstream data from an App.
