Book description
Why is Google Analytics 4 the most modern data model available for digital marketing analytics? Rather than simply reporting what has happened, GA4's new cloud integrations enable more data activation, linking online and offline data across all your streams to provide end-to-end marketing data. This practical book prepares you for the future of digital marketing by demonstrating how GA4 supports these additional cloud integrations.
Author Mark Edmondson, Google developer expert for Google Analytics and Google Cloud, provides a concise yet comprehensive overview of GA4 and its cloud integrations. Data, business, and marketing analysts will learn major facets of GA4's powerful new analytics model, with topics including data architecture and strategy, and data ingestion, storage, and modeling. You'll explore common data activation use cases and get the guidance you need to implement them.
You'll learn:
- How Google Cloud integrates with GA4
- The potential use cases that GA4 integrations can enable
- Skills and resources needed to create GA4 integrations
- How much GA4 data capture is necessary to enable use cases
- The process of designing dataflows from strategy through data storage, modeling, and activation
- How to adapt the use cases to fit your business needs
Publisher resources
Table of contents
- Preface
- 1. The New Google Analytics 4
- 2. Data Architecture and Strategy
- 3. Data Ingestion
- 4. Data Storage
- 5. Data Modeling
- 6. Data Activation
- 7. Use Case: Predictive Purchases
- 8. Use Case: Audience Segmentation
- 9. Use Case: Real-Time Forecasting
- 10. Next Steps
- Index
- About the Author
Product information
- Title: Learning Google Analytics
- Author(s):
- Release date: November 2022
- Publisher(s): O'Reilly Media, Inc.
- ISBN: 9781098113087
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