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Analyze and Optimize User Retention

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Analyze and Optimize User Retention

Ce cours fait partie de Spécialisation "User Retention Analytics"

Instructeur : Hurix Digital

Inclus avec

2 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Intermédiaire

Expérience recommandée

1 heure à compléter

Planning flexible

Apprenez à votre propre rythme

2 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Intermédiaire

Expérience recommandée

1 heure à compléter

Planning flexible

Apprenez à votre propre rythme

Ce que vous apprendrez

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

Compétences que vous acquerrez

Catégorie : Consumer Behaviour
Catégorie : Driving engagement
Catégorie : Looker (Software)
Catégorie : Customer Insights
Catégorie : Data Analysis
Catégorie : Analysis
Catégorie : Root Cause Analysis
Catégorie : Customer Retention
Catégorie : Marketing Channel
Catégorie : Growth Strategies
Catégorie : Time Series Analysis and Forecasting
Catégorie : Performance Metric
Catégorie : Forecasting
Catégorie : Data-Driven Marketing
Catégorie : Customer Analysis
Catégorie : Digital Analysis
Catégorie : Trend Analysis
Catégorie : Marketing Analytics

Détails à connaître

Certificat partageable

Ajouter à votre profil LinkedIn

Récemment mis à jour !

janvier 2026

Évaluations

4 devoirs

Enseigné en Anglais

91%

of learners achieved a positive career outcome

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Ce cours fait partie de la Spécialisation "User Retention Analytics"

Lorsque vous vous inscrivez à ce cours, vous êtes également inscrit(e) à cette Spécialisation.

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Il y a 2 modules dans ce cours

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.

Détails du module

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.

Inclus

2 vidéos2 lectures2 devoirs

2 vidéosTotal 9 minutes

Why Channel-Segmented Cohort Analysis Drives Marketing ROI3 minutes
Cohort Analysis Fundamentals for Data Professionals6 minutes

2 lecturesTotal 13 minutes

Segmentation Methodologies in Cohort Analysis 8 minutes
How to Use Channel-Segmented Cohort Analysis to Optimize Marketing Spend5 minutes

2 devoirsTotal 13 minutes

Cohort Analysis Fundamentals Assessment3 minutes
Build and Analyze Acquisition Channel Cohorts10 minutes

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.

Inclus

2 vidéos2 lectures2 devoirs

2 vidéosTotal 10 minutes

The Business Impact of Pattern Recognition in Retention Analysis4 minutes
Interpreting Retention Curve Patterns and Decay Rates6 minutes

2 lecturesTotal 12 minutes

Systematic Approaches to Seasonal vs. Fatigue Pattern Diagnosis7 minutes
How to Diagnose Retention Drops: Seasonal Behavior vs. Product Problems5 minutes

2 devoirsTotal 13 minutes

Retention Pattern Analysis Assessment3 minutes
Advanced Retention Pattern Diagnosis Project 10 minutes

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