Product Analytics For Everyone Drive Your Product Growth! | Download Free

What you'll 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.
Requirements
Prerequisites are not required, although a basic understanding of business concepts is helpful
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.
Overview
Section 1: Introductions
Lecture 1 Course Introduction
Lecture 2 History
Lecture 3 Data Personas
Lecture 4 Data Tools Overview
Section 2: The World of Product Analytics
Lecture 5 What is Product Analytics
Lecture 6 The Key Roles of the Product Analytics Team
Lecture 7 Product & Analytics Working Together
Section 3: Pick Your Data!
Lecture 8 Data Collection Strategy
Lecture 9 Data Collection Best Practices
Section 4: Vision, Measurement Strategy, and North Star Metric
Lecture 10 What Makes My Product Valuable?
Lecture 11 Measurement Strategies and Frameworks
Lecture 12 The North Star Metric
Lecture 13 Best Practices for Picking The North Star Metric
Lecture 14 The Star, As a System Component
Section 5: Funnels & Common Metrics
Lecture 15 Funnel Analysis
Lecture 16 Common Metrics
Lecture 17 DAU WAU MAU
Lecture 18 Retention
Lecture 19 Stickiness
Lecture 20 Feature Adoption Rate
Lecture 21 Bounce Rate
Lecture 22 K-Factor
Lecture 23 LTV
Lecture 24 CAC
Lecture 25 LTV CAC Ratio
Lecture 26 ARPU
Lecture 27 ARR & MRR
Lecture 28 ROAS
Lecture 29 CPI & CPA
Lecture 30 NPS & CSAT
Section 6: The Final Word
Lecture 31 Final Words
This course is for anyone who wants to learn how to use data to improve their product. Whether you are a CEO, CMO, CPO, CFO, or just someone who is interested in learning more about Product Analytics, this course will teach you the skills you need to use data to make your product better.,Product Managers: Even if you are already a Product Manager, there is always room to learn and grow. This course can help you advance your skillset and become a better Product Manager.,Entrepreneurs: If you are an entrepreneur, this course will give you the skills you need to build and launch successful products by using the power of data.,Students: If you are a student interested in a career in any product company, this course will give you a head start on your studies. By taking this course, you will gain a better understanding of Product Analytics and gain experience with it.,Job seekers: Anyone who is interested in transitioning into a product management role


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