Drive product growth with data-driven decisions by learning essential product analytics skills. Make better products!
What you will learn
You will learn how to use Product Analytics to improve your product and business, covering everything from the theoretical basics to practical tools.
Find out about Product Analytics frameworks, methodologies, and best practices that you can use
Learn the role of Product Analytics in product development process, and decision making
This course will guide you through the process of developing your own measurement strategy and aligning your North Star Metric with the vision of your product.
Utilize the most common industry product KPIs to measure product success, track progress, and identify improvements. LTV, CAC, K-Factor, Retention, and more!
Getting a a good understanding of the tools and processes used by data teams will enable you to effectively collaborate and communicate with them.
Learn to build a culture of data-driven decision making within your organization and promote cross-functional analytics collaboration.
Learn how to identify and track user funnels, how to calculate retention rates, and how to use this data to improve their product
learn about common industry metrics, such as WAU, MAU, bounce rate, K-factor, lifetime value, CAC, and ARPU and more!
Learn how to build a data collection strategy that collects the right data, at the right time, from the right sources.
Learn about the different roles on the Data team, such as data analysts, data scientists, and data engineers and many more.
Learn how to improve their Product Analytics team and how to create a strong working relationship between the Data team and the Product team.
Description
What you will learn:
- The basics of product analytics: You will learn the fundamental concepts of product analytics, such as data collection, analysis, and interpretation.
- How to use product analytics to make better decisions: You will learn how to use data to identify trends, patterns, and opportunities to improve your products.
- How to build a data-driven culture: You will learn how to create a culture within your team where data is used to make decisions and drive action.
- Define your product goals: You will learn how to identify the key metrics that matter most to your business and your users.
- Collect data correctly: You will learn how to collect data about your users’ behavior, such as what pages they visit, what features they use, and what actions they take.
- Use data to make informed decisions about your product: You will learn how to use data to make decisions about your product, such as which features to develop, which marketing campaigns to run, and which pricing strategy to use.
- Understand common industry metrics: You will learn about common industry metrics, such as active users (DAU / WAU / MAU), bounce rate, conversion rate, customer lifetime value (LTV),customer acquisition cost (CAC), and many more.
- Define a North Star Metric: You will learn how to define The North Star Metric that is a single metric that represents the core value your product delivers to your users. It is the metric that you will use to measure the success of your product.
English
language
Content
Introductions
Course Introduction
History
Data Personas
Data Tools Overview
The World of Product Analytics
What is Product Analytics
The Key Roles of the Product Analytics Team
Product & Analytics Working Together
Pick Your Data!
Data Collection Strategy
Data Collection Best Practices
Vision, Measurement Strategy, and North Star Metric
What Makes My Product Valuable?
Measurement Strategies and Frameworks
The North Star Metric
Best Practices for Picking The North Star Metric
The Star, As a System Component
Funnels & Common Metrics
Funnel Analysis
Common Metrics
DAU WAU MAU
Retention
Stickiness
Feature Adoption Rate
Bounce Rate
K-Factor
LTV
CAC
LTV CAC Ratio
ARPU
ARR & MRR
ROAS
CPI & CPA
NPS & CSAT
The Final Word
Final Words