Product Analytics & Metrics

Course Info

Length:

5 Days

Type:

In Classroom

Available Dates

2025-04-07

2025-05-05

2025-06-02

2025-07-07

2025-08-04

2025-09-01

2025-10-06

2025-11-03

2025-12-01

Course Details

  • Introduction
  • Objective
  • Who should attend

Welcome to " Product Analytics & Metrics" course! This immersive journey was designed with care by LPC to help you boost your product expansion with data-driven decisions by mastering the essentials of product analytics and metrics.

During 5 days, LPC instructors will guide you step-by step to fully understand the fundamentals of product analytics and implement its strategies and techniques to effectively analyze your data during all the stages of product development. You’ll learn about the process of product analytics, data types and metrics. You’ll master the advanced techniques of product analytics including customer segmentation, cohort analysis, retention analysis and funnel analysis. Not only that, we’ll also discuss product experimentation and how to use A/B testing for your product.

By the end of this comprehensive course, you’ll be well-equipped to make informed decisions and drive product success. Join us and unlock the full potential of Product Analytics with LPC!

Course Outline

5 days course
  • Day 1
  • Day 2
  • Day 3
  • Day 4
  • Day 5

Introduction to Product Analytics

  • Defining product analytics and its significance in product management
  • Understanding the process of product analytics and what should be completed at each stage:

  •          Creating questions based on product goal
  •          Mapping user journeys
  •          Identifying key user events and related data
  •          Creating a data governance framework
  •          Selecting KPIs and metrics
  •          Reporting the analytics results

  • Differentiating between predictive analytics and prescriptive analytics
  • Discovering the common analytics frameworks for structuring the analysis:

  •          Pirate Metrics Framework (AARRR)
  •          Retention-First Framework (RARRA)

  • Determining the importance of developing measurable products
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