Product Analytics & Metrics

Available Dates

Dec-09-2024

Kuala Lumpur
Jan-06-2025

Kuala Lumpur
Feb-03-2025

Kuala Lumpur
Mar-03-2025

Kuala Lumpur
Apr-07-2025

Kuala Lumpur
May-05-2025

Kuala Lumpur
June-02-2025

Kuala Lumpur
June-30-2025

Kuala Lumpur
July-07-2025

Kuala Lumpur
Aug-04-2025

Kuala Lumpur
Sep-01-2025

Kuala Lumpur
Sep-29-2025

Kuala Lumpur
Oct-06-2025

Kuala Lumpur
Nov-03-2025

Kuala Lumpur
Dec-01-2025

Kuala Lumpur
Dec-29-2025

Kuala Lumpur

Dates in Other Venues

Nov-25-2024

London
Nov-25-2024

Amsterdam
Dec-02-2024

Dubai
Dec-02-2024

Barcelona
Dec-09-2024

Istanbul
Dec-16-2024

Singapore
Dec-16-2024

Paris
Dec-23-2024

London
Dec-30-2024

Amsterdam
Jan-06-2025

Istanbul
Jan-13-2025

Singapore
Jan-13-2025

Paris
Jan-20-2025

Amsterdam
Jan-20-2025

London
Jan-27-2025

Barcelona
Feb-03-2025

Istanbul
Feb-10-2025

Paris
Feb-10-2025

Singapore
Feb-17-2025

Amsterdam
Feb-17-2025

London
Feb-24-2025

Barcelona
Mar-03-2025

Istanbul
Mar-10-2025

Singapore
Mar-10-2025

Paris
Mar-17-2025

Amsterdam
Mar-17-2025

London
Mar-24-2025

Barcelona
Mar-24-2025

Dubai
Apr-07-2025

Istanbul
Apr-14-2025

Paris
Apr-14-2025

Singapore
Apr-21-2025

Amsterdam
Apr-21-2025

London
Apr-28-2025

Barcelona
Apr-28-2025

Dubai
May-05-2025

Istanbul
May-12-2025

Singapore
May-12-2025

Paris
May-19-2025

Amsterdam
May-19-2025

London
May-26-2025

Dubai
May-26-2025

Barcelona
June-02-2025

Istanbul
June-09-2025

Paris
June-09-2025

Singapore
June-16-2025

London
June-16-2025

Amsterdam
June-23-2025

Barcelona
June-30-2025

Istanbul
June-30-2025

Dubai
July-07-2025

Istanbul
July-14-2025

Paris
July-14-2025

Singapore
July-21-2025

London
July-21-2025

Amsterdam
July-28-2025

Barcelona
July-28-2025

Dubai
Aug-04-2025

Istanbul
Aug-11-2025

Singapore
Aug-11-2025

Paris
Aug-18-2025

London
Aug-18-2025

Amsterdam
Aug-25-2025

Dubai
Aug-25-2025

Barcelona
Sep-01-2025

Istanbul
Sep-08-2025

Paris
Sep-08-2025

Singapore
Sep-15-2025

Amsterdam
Sep-15-2025

London
Sep-22-2025

Barcelona
Sep-29-2025

Istanbul
Sep-29-2025

Dubai
Oct-06-2025

Istanbul
Oct-13-2025

Paris
Oct-13-2025

Singapore
Oct-20-2025

Amsterdam
Oct-20-2025

London
Oct-27-2025

Dubai
Oct-27-2025

Barcelona
Nov-03-2025

Istanbul
Nov-10-2025

Singapore
Nov-10-2025

Paris
Nov-17-2025

London
Nov-17-2025

Amsterdam
Nov-24-2025

Dubai
Nov-24-2025

Barcelona
Dec-01-2025

Istanbul
Dec-08-2025

Singapore
Dec-08-2025

Paris
Dec-15-2025

Amsterdam
Dec-15-2025

London
Dec-22-2025

Barcelona
Dec-29-2025

Dubai
Dec-29-2025

Istanbul

Course Details

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!

By the end of this course, participants should be able to:

Gain a solid understanding of product analytics and its process
Transform user data into actionable insights to drive product success
Structure their product analytics using standard frameworks like AARRR and RARRA
Understand different types of metrics and their applications
Implement different types of product analytics such as customer segmentation, cohort, retention and funnel analysis
Utilize the North Star metric to guide product development
Conduct product experimentation and A/B testing
Implement essential data governance practices to secure and protect the data
Foster a data-driven culture within their product team

Product Managers
Data Analysts
Business Strategists
Product Owners
Marketing Professionals
Business Analysts
UX/ UI Designers
Entrepreneurs
Quality Assurance Specialists
Project Managers
Anyone interested in data analytics and product management

Our courses in Kuala Lumpur take place at the following location :

Level 32 , Menara Prestige, 1, Jalan Pinang, Kuala Lumpur, 50450 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Once you register, we will subsequently send you the course details, including the location, trainer, and other logistical information.

Pay Attention, Please! The course location at our offices is subject to availability. Should our office be unavailable, we will secure an alternative nearby venue and promptly inform you of the change. The exact time and location will be confirmed one week prior to the course commencement.

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

Data & Metrics

Identifying the types of product data:

Source-aligned data products
Consumer-aligned data products
Aggregated data products

Distinguishing between transactional data and behavioral data
Exploring different data collection methods and best practices
Defining product metrics and its types:

Lagging indicator
Leading indicator

Overview of metrics categories based on user lifecycle:

Acquisition metrics
Activation metrics
Engagement metrics
Retention metrics
Monetization metrics
North Star metrics

Product Analytics Techniques

Defining customer segmentation analysis and cohort analysis
Understanding customer lifetime value (CLV) metrics to identify high-value customer segments
Describing the Customer Segmentation RFM Analysis
Exploring the types of cohort analysis:

Acquisition cohorts
Behavioral cohorts

Describing how cohort analysis is used to increase retention and decrease churn

Product Analytics Techniques

Defining retention analysis and funnel analysis
Exploring Retention metrics:

Retention Rate
Repeat Purchase Rate
Churn Rate
Aha Moment

Understanding the Funnel analysis including:

Conversion and drop-off rates
Segmentation and analytical techniques
Funnel optimization

Understanding the North Star metric and how it works for guiding the team
Utilizing KPI trees to visualize the relationship between KPI and business goals

Product Experimentation & Analytics Best Practices

Understanding the meaning of product experimentation and scientific method
Exploring the techniques to design effective A/B testing
Discussing factors to consider when interpreting A/B testing results

Sample size
Test duration
Conversion rate
Internal and external factors
Significance level

Discussing the essential aspects of a data governance process for product analytics
Exploring the best practices to implement the data-driven culture within the product team

Product Analytics & Metrics

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