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Coursera

Perform Cohort Analysis

Coursera via Coursera

Overview

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Go beyond one-time conversions and learn how to measure long-term customer value using cohort analysis. In this course, you’ll build the skills to evaluate retention, identify churn patterns, and understand what drives customer loyalty over time. You’ll begin by learning how to read cohort tables and interpret retention curves. You’ll identify key patterns such as cliff drops, gradual churn, and stabilization and understand what each pattern reveals about customer behavior. From there, you’ll analyze cohort performance across segments to uncover which acquisition channels and customer behaviors lead to stronger long-term outcomes. You’ll also learn how to connect cohort insights to real business decisions. Using tools like Google Analytics 4 (GA4) and spreadsheets, you’ll calculate retention metrics, evaluate lifetime value (LTV), and identify early behaviors that predict long-term success. You’ll apply these insights to propose targeted retention strategies and improve marketing performance. By the end of this course, you’ll be able to translate cohort data into actionable insights that improve customer retention and maximize lifetime value. These skills are essential for roles in marketing analytics, growth strategy, and product analytics.

Syllabus

  • Cohorts: Measure Retention and Churn
    • Customer growth depends not only on acquisition but also on how effectively users continue to engage over time. In this module, you will use cohort analysis to measure retention, churn, and lifetime value across different marketing segments. You will learn how to interpret cohort tables, identify retention patterns, and recognize signals such as steep churn drops, gradual decline, and high-performing cohorts. The module emphasizes practical interpretation and decision-making rather than manual report construction, reflecting how modern analytics tools generate cohort views automatically. By the end of this module, you will be able to analyze cohort retention patterns and identify opportunities to improve customer retention and long-term value.
  • Analysis: Identify Success Indicators
    • Retention analysis becomes more valuable when it reveals the behaviors that predict long-term customer success. In this module, you will analyze cohort behavior to identify early engagement patterns linked to retention, churn reduction, and higher lifetime value. You will compare segmented cohorts, evaluate behavioral signals associated with successful customers, and assess how acquisition sources influence long-term outcomes. Through practical analysis activities, you will connect cohort insights to actionable retention strategies, including onboarding and lifecycle communication improvements. By the end of this module, you will be able to identify meaningful success indicators within cohort data and recommend retention strategies that support stronger long-term customer value.

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