Advanced Google Analytics: A Practical Guide (Premium)
Posted 4 days 6 hours ago by Packt
Transform Raw Web Traffic into Strategic Marketing Insights
Data holds the key to digital growth, but translating complex web metrics into meaningful business strategy requires an elevated analytical toolkit.
Build a Resilient Analytics Foundation and Demystify User Behaviour
Your journey opens with a return to core digital measurement mechanics, establishing a crystal-clear baseline for accurate analysis by mastering foundational user engagement metrics, session dynamics, and user identification principles.
Master GA4 Architecture and Bridge Universal Analytics Gaps
Transition effortlessly into Google Analytics 4 by exploring its event-driven framework, integrating with Google Tag Manager, and crafting custom funnel and path explorations to uncover deep behavioural trends across devices and traffic sources.
Unravel Cross-Channel Value with Multi-Touch Attribution and Custom Scopes
Deepen your strategic impact by evaluating how marketing channels drive growth, navigating platform discrepancies, and tailoring custom dimensions, metrics, and channel groupings to accurately reflect your conversion funnel.
Take Control of Advanced Tracking Mechanics and Automated Alerts
Conclude your journey by deploying advanced analytical techniques such as regular expressions, calculated metrics, and real-time alerts to ensure your data stream remains clean, reliable, and actionable for long-term growth.
This course is ideal for digital marketers, analysts, and data enthusiasts who have basic experience with Google Analytics.
This course is ideal for digital marketers, analysts, and data enthusiasts who have basic experience with Google Analytics.
- Analyze Google Analytics metrics to understand user behavior.
- Configure and customize GA4 to deliver personalized data insights.
- Use attribution modeling to track and optimize conversion paths.
- Create custom reports, filters, and dimensions for accuracy.
- Apply calculated metrics and regex for in-depth data analysis.
- Analyze platform discrepancies to improve measurement accuracy.