• Importance of web analytics
• Types of web analytics
• Web analytics use cases
• Key stakeholders
• Web analytics ecosystem
• User journey and funnels
• Traffic sources and channels
• Campaign tracking basics
• Attribution concepts
• Role of analytics in marketing
• Pageviews and events
• Bounce rate and engagement
• Conversion metrics
• Customer lifetime value basics
• Defining meaningful KPIs
• Account, property, and view setup
• Tracking code implementation
• Data collection basics
• Report navigation
• Common reporting mistakes
• Organic traffic analysis
• Paid campaign tracking
• Referral traffic
• Social media analytics
• Direct traffic interpretation
• Channel performance comparison
• Geographic analysis
• Device and technology analysis
• New vs returning users
• Behavior segmentation
• User persona insights
• Site navigation analysis
• Landing page optimization
• Exit page analysis
• User flow visualization
• Funnel visualization
• E-commerce tracking basics
• Event tracking
• Micro and macro conversions
• Conversion rate optimization
• Tags, triggers, and variables
• Implementing tracking tags
• Event tracking using GTM
• Debugging tags
• Best practices
• Dashboards
• Segments
• Custom dimensions and metrics
• Calculated metrics
• Advanced analysis techniques
• Creating dashboards
• Data storytelling
• Google Data Studio (Looker Studio)
• Stakeholder reporting
• Automation of reports
• Last-click vs multi-touch
• Linear and time-decay models
• Data-driven attribution
• Cross-channel attribution
• Attribution challenges
• Keyword performance analysis
• Page speed analysis
• A/B testing basics
• Heatmaps and session recordings
• CRO best practices







