Crafttrack
Writing for journalism means understanding how people consume information and what keeps them engaged with your content from start to finish.
Our analytics courses teach you to interpret data patterns, reader behavior, and content performance metrics that directly inform editorial decisions.
These courses focus on practical skills for journalists who need to make sense of audience data without getting lost in technical complexity.
Learn to read pageview patterns, identify peak engagement times, and understand which stories resonate with specific audience segments based on actual behavior data.
Measure time on page, scroll depth, and interaction rates to determine what content formats work best for different story types and reader demographics.
Monitor how readers move from discovery to subscription, understanding the content paths that build loyalty and drive publication sustainability.
Analyze share patterns, referral sources, and platform-specific engagement to optimize distribution strategy and reach new audiences effectively.
Use A/B testing results and headline performance data to refine your approach, testing variations that improve click-through rates without compromising editorial integrity.
Build custom reports that surface the metrics editors actually need, filtering noise to focus on insights that inform content planning and resource allocation.
Navigate Google Analytics 4 interface and understand basic report structures
Interpret pageview data, bounce rates, and session duration metrics
Set up basic goal tracking for newsletter signups and content downloads
Create simple custom reports that show weekly content performance
Understand how readers find your content through different channels
Identify top-performing articles and common traffic patterns
Build custom segments to analyze specific reader cohorts and behavior patterns
Track user journeys from discovery through multiple content interactions
Set up event tracking for video plays, downloads, and interactive elements
Compare performance across different content categories and publication dates
Analyze referral traffic quality and optimize content distribution strategy
Use cohort analysis to understand long-term reader retention patterns
Implement predictive models to forecast content performance and audience growth
Design and execute multivariate tests for headline optimization and layout changes
Integrate multiple data sources to build comprehensive audience intelligence
Create automated reporting systems that alert editors to emerging trends
Analyze revenue attribution across different content types and reader pathways
Build custom dashboards that connect editorial strategy with business outcomes