Analyze and Optimize User Retention

Unlock the power of cohort analysis to transform raw user data into actionable retention insights that drive business growth. This course empowers data professionals to systematically segment users by acquisition channels, calculate meaningful retention metrics, and diagnose the true drivers behind user churn patterns. This Short Course was created to help data analysts accomplish strategic user retention optimization through advanced cohort analysis techniques. By completing this course, you'll be able to confidently build Looker explores that reveal sticky user segments, overlay retention curves with business events to identify seasonal patterns, and distinguish between temporary user fatigue and long-term engagement decline. These skills enable you to provide data-driven recommendations that directly impact product-market fit and marketing spend optimization. By the end of this course, you will be able to: Apply cohort analysis to calculate user retention segmented by acquisition channel Analyze retention curves to distinguish between user fatigue and seasonal effects This course is unique because it combines hands-on technical implementation in Looker with strategic business analysis, enabling you to bridge the gap between data extraction and actionable business insights. To be successful in this course, you should have a background in data analysis fundamentals and basic familiarity with business intelligence tools

• Apply cohort analysis to assess acquisition channel quality
• Compare retention curves to distinguish seasonal trends and user fatigue
• Integrate business context with quantitative metrics for analysis
• Segment cohorts by channel and acquisition costs to evaluate product-market fit

• Basic familiarity with the topic and terminology
• Willingness to engage in practical exercises or case studies