AI and Google Analytics 4 Analysis
AI and Google Analytics 4 Analysis
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 5m | 182 MB
Instructor: Dana DiTomaso
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 5m | 182 MB
Instructor: Dana DiTomaso
This course equips digital marketers and analysts with practical skills to combine GA4’s built-in AI features with external tools like ChatGPT and Looker Studio for deeper, more actionable marketing insights. Learn how to structure and export data responsibly, analyze content performance using predictive models and semantic techniques, and build automated dashboards for sustainable insight generation. From predictive audiences to full customer journey mapping, this course demonstrates how AI can supercharge your content strategy. Whether you're optimizing channel performance or discovering hidden content gaps, this equips you with a clear, AI-informed framework to elevate your marketing analytics practice that helps you turn insights into action and future-proof your analytics workflow.
Learning objectives
- Describe the AI capabilities built into GA4, including predictive audiences and Analytics Intelligence features.
- Establish data privacy boundaries and determine which GA4 data is appropriate for export to AI tools.
- Customize GA4 reports and prepare structured datasets for more accurate and meaningful AI analysis.
- Analyze content and channel performance using AI to uncover trends, top-performing elements, and content gaps.
- Integrate multiple marketing data sources using AI to map full customer journeys and identify key conversion touchpoints.
- Build Looker Studio dashboards that automate data preparation for repeatable AI insights.
- Translate AI-generated insights into strategic content plans, campaign briefs, and marketing actions.
- Develop a future-ready framework for ongoing GA4 and AI analysis in a rapidly changing data landscape.
AI and Google Analytics 4 Analysis
