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.
Analyze and Optimize User Retention
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您将学到什么
Cohort analysis reveals long-term quality of acquisition channels, enabling data-driven marketing spend decisions.
Comparing retention curves across calendar and age-aligned cohorts helps distinguish seasonal patterns from user fatigue.
Effective retention analysis combines business context like release schedules and holidays with quantitative metrics.
Segmenting cohorts by acquisition channel and cost-per-cohort uncovers product-market fit and sustainable user value
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January 2026
作业
4 项作业
授课语言：英语（English）
了解顶级公司的员工如何掌握热门技能
积累特定领域的专业知识
本课程是 User Retention Analytics 专项课程 专项课程的一部分
在注册此课程时，您还会同时注册此专项课程。
- 向行业专家学习新概念
- 获得对主题或工具的基础理解
- 通过实践项目培养工作相关技能
- 获得可共享的职业证书
该课程共有2个模块
In this first module, we move beyond "vanity metrics" to master Cohort Analysis, the essential framework for measuring how effectively your product keeps users over time. By grouping users based on shared characteristics—most commonly their acquisition date—you will learn to construct and interpret Cohort Heatmaps, which allow you to track behavior patterns and identify exactly where users are dropping off in their lifecycle. This approach provides the mathematical clarity needed to distinguish between temporary growth spikes and long-term product-market fit, enabling you to calculate precise Retention Rates and visualize the "long tail" of user stability through Retention Curves.
涵盖的内容
2个视频2篇阅读材料2个作业
This module moves beyond simple tracking to diagnose the "shape" of your user behavior and identify the underlying drivers of long-term loyalty. In this section, we analyze the specific geometry of your retention curves—distinguishing between the "Sinking Ship" of a declining curve and the "Growth Engine" of a flattened or "smiling" curve—to determine if your product has achieved true product-market fit. You will learn to perform behavioral layering to uncover the "Aha! Moment," that specific set of actions that separates your power users from those who churn, allowing you to optimize the user journey around the activities that mathematically correlate with the highest lifetime value.
涵盖的内容
2个视频2篇阅读材料2个作业
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