Free Product Strategy Course to Understand Product Analytics & User Behavior Tracking
Gain a comprehensive understanding of product analytics and user behavior tracking with our free course. Enhance your product strategy skills and earn a certification in product strategy.
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Get certified upon course completion and supercharge your career journey.
Learning Objectives
1. In-depth Analysis of App Events
Insights into recommendation engine mechanics, leveraging data features for personalized suggestions, refining recommendations through user interactions.
2. User Engagement Evaluation with Click-Through Rate
Evaluation of user engagement via click-through rate metrics, identifying disengagement areas for product enhancement, emphasizing data analysis over vanity metrics.
3. Personalization Driven by User Interaction Data
Customizing Paytm platform content based on transactional data, utilizing metrics like activation rates, stickiness ratios to assess user retention, monitoring key user actions.
Exploration of A/B testing and hypothesis analysis in recommendation features, highlighting experimental design, statistical significance with Python code snippet for bias removal techniques.
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Who's it for
Product Managers
Data Analysts
App Developers
User Experience Designers
Marketing Strategists
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What will I learn
Chapter 1
Writing Effective App Events
This chapter discusses the mechanics of recommendation engines and how they leverage data elements to provide personalized suggestions. It emphasizes the importance of utilizing event properties and user properties for effective targeting in app campaigns.
Chapter 2
Analyzing User Behavior
The focus here is on understanding user behavior and identifying friction points to enhance user experience. The chapter explains how analyzing metrics like click-through rate can help product managers pinpoint areas for improvement and make informed decisions.
Chapter 3
Personalization on Platforms like Paytm
This chapter explores how platforms like Paytm personalize user experiences based on interactions and transactional data. It highlights the importance of user engagement metrics and event tracking for tracking user journeys and enhancing user retention.
Chapter 4
A/B Testing for Product Recommendations
The discussion in this chapter revolves around A/B testing and hypothesis analysis for product recommendation features. It emphasizes the significance of experimental results and statistical analysis in decision-making for product placement strategies.
Chapter 5
Python Code Snippet for A/B Test Analysis
This section provides a Python code snippet demonstrating how A/B test analysis can be conducted using t-tests for statistical significance. It also outlines techniques for mitigating position bias in suggestions to ensure fair product ranking.
Chapter 6
Conclusion Optimizing Product Recommendations
Here, the chapter summarizes the key takeaways related to user behavior, data analysis, and experimentation techniques for optimizing product recommendations and enhancing user experiences across digital platforms.
Chapter 7
Strategies for Driving Product Improvements
This chapter focuses on user-centric approaches, relevant metrics, and statistical analysis tools that product managers can leverage to drive impactful product improvements and enhance user engagement effectively.
Chapter 8
Implementing Effective Product Management
The final chapter discusses the importance of implementing the concepts and strategies discussed throughout the book to effectively manage products, optimize recommendations, and improve overall user experiences.
Meet your Mentor
Navdeep Yadav
Product Manager @ Atao Payments
Navdeep Yadav is a seasoned Product Manager based in Bengaluru, India. With experience as the Co-Founder of Float, he led a team to develop a platform for media-rich product documentation. Despite a shift in direction, the platform remains active, showcasing his adaptability and innovative mindset in solving tech challenges.
Frequently Asked Questions
What are the main pillars of Product Strategy?
The main pillars include market analysis, product differentiation, user research, and competitive positioning.
What is Product Strategy, and why is it important to learn about?
Product strategy is a plan that outlines product goals and how to achieve them, crucial for success.
Is this Product Strategy course designed for corporate training and workforce upskilling?
Yes, the course is ideal for corporate teams looking to enhance product strategy knowledge and skills.
How long can I access the free product strategy course content?
You can access the free course content indefinitely once you register and create an account.
Will I receive a certification upon completion of the free product strategy course course?
Yes, you will receive a certification of completion for the free product strategy course.
Understand Product Analytics & User Behavior Tracking
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(337 ratings)
Advanced
Tomorrow, 3:30 pm GMT
24k Learners enrolled
Mentor
Navdeep Yadav
Product Manager @ Atao Payments
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