Product Analytics for Product Managers: The Key to Growth!

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Asaf Lev Ari

3:34:52

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1 - Introductions

1 - Course Introduction.mp4

03:18

2 - History.mp4

03:53

3 - Data Personas.mp4

10:21

4 - Data Tools Overview.mp4

11:49

2 - The World of Product Analytics

5 - What is Product Analytics.mp4

17:01

6 - The Key Roles of the Product Analytics Team.mp4

02:43

7 - Product Analytics Working Together.mp4

19:37

3 - Pick Your Data

8 - Data Collection Strategy.mp4

10:06

9 - Data Collection Best Practices.mp4

06:38

4 - Vision Measurement Strategy and North Star Metric

10 - What Makes My Product Valuable.mp4

06:24

11 - Measurement Strategies and Frameworks.mp4

11:13

12 - The North Star Metric.mp4

10:00

13 - Best Practices for Picking The North Star Metric.mp4

10:09

14 - The Star As a System Component.mp4

11:05

5 - Funnels Common Metrics

15 - Funnel Analysis.mp4

10:06

16 - Common Metrics.mp4

01:21

17 - DAU WAU MAU.mp4

05:21

18 - Retention.mp4

13:12

19 - Stickiness.mp4

01:55

20 - Feature Adoption Rate.mp4

03:01

21 - Bounce Rate.mp4

05:07

22 - KFactor.mp4

03:40

23 - LTV.mp4

10:13

24 - CAC.mp4

02:24

25 - LTV CAC Ratio.mp4

03:20

26 - ARPU.mp4

03:01

27 - ARR MRR.mp4

06:22

28 - ROAS.mp4

02:33

29 - CPI CPA.mp4

03:29

30 - NPS CSAT.mp4

04:15

6 - The Final Word

31 - Final Words.mp4

01:15

Description

Drive product growth with data-driven decisions by learning essential product analytics skills. Make better products!

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.

Who is this for?

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

What You Need to Know?

Prerequisites are not required, although a basic understanding of business concepts is helpful

More details

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.
Who this course is for:
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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Data Science

Data Analysis

Asaf Lev Ari

Instructor's Courses

Asaf Lev-Ari is a mission-driven Data Science & Analytics leader with expert knowledge and hands-on experience in Product Analytics, Data Science, Business Analysis, Visualization, Optimization, Simulations, and advanced statistical tools.With 10 years of experience in the tech industry, Asaf has worked and led data teams for companies such as AT&T, Groupon and CWT. He has also worked on startups such as Tomorrow, Idomoo, and Atly as a co-founder.The previous roles he has held have included leading teams of data scientists and analysts in developing and implementing data-driven processes and tools that have improved both the product and the company's profitability.Using data to solve real-life problems is something Asaf is passionate about and he constantly seeks new ways to use data to make a positive impact.He is also a strong advocate for data literacy, and he believes that everyone should have the skills and knowledge to use data to make better decisions.

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