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Avik Bal

Google Analytics 4 is the next evolution of web analytics. With GA4, you get a comprehensive view of how users interact with your brand across multiple platforms and devices.

In this course, we will learn how to leverage GA4 into our marketing & digital marketing strategies.

We will learn the following:

Read more

Google Analytics 4 is the next evolution of web analytics. With GA4, you get a comprehensive view of how users interact with your brand across multiple platforms and devices.

In this course, we will learn how to leverage GA4 into our marketing & digital marketing strategies.

We will learn the following:

  • What is Google Analytics 4?

  • What's new and different about Google Analytics 4?

  • What are the advantages of Google Analytics 4?

  • Should I switch to Google Analytics 4 now?

  • Can I use Google Tag Manager with GA4?

  • How do I set up Google Analytics 4?

  • How to do Attribution Modelling in GA4?

  • How to set up user events in GA4?

  • How to configure  Audience segments in GA4?

  • How to navigate and customize the GA4 interface?

  • How to analyze and interpret the GA4 data?

  • How to use the Life cycle reports?

  • How to build executive summary reports in GA4?

  • How to visualize key metrics and dimensions in GA4?

  • How to create, share, and export reports in GA4?

This course on GA4 answers those questions. You'll learn all the essentials needed to get started with Google Analytics 4.

GA4 is a new property designed for the future of measurement:

  • Collects both website and app data to better understand the customer journey

  • Uses events instead of session-based data

  • Includes privacy controls such as cookieless measurement, and behavioral and conversion modeling

  • Predictive capabilities offer guidance without complex models

  • Direct integrations to media platforms help drive actions on your website or app

On July 1, 2023, standard Universal Analytics properties will no longer process data. You'll be able to see your Universal Analytics reports for a period of time after July 1, 2023.  So you need to get started with GA4 integration, the sooner the better.

Enroll now

What's inside

Learning objectives

  • Understand the foundational concepts of web analytics
  • Learn the basics and advanced features of google analytics 4
  • Learn how to build custom google analytics 4 reports
  • Learn how to read, interpret and derive insights from web analytics data
  • Learn how to build kpi focused, highly customized google analytics reports for client presentation

Syllabus

Getting Started with Google Analytics 4 - Account Creation and Tracking Setup
Introduction
Setting up Google Analytics 4 Account
Adding Google Analytics 4 to your Website
Read more

The Acquisition reports provide information about where your traffic originates (e.g., google, baidu, bing), the methods by which users arrive at your site or app (e.g., organic, cpc, email), and the marketing efforts you use to drive traffic (e.g., campaign, creative format, keywords).

What Insights to look for in Acquisition Report?

The Acquisition report can be used to study the Marketing Channel mix performance and detect the misalignments across the marketing sources & medium if any. It also helps in identifying the profitable user journey maps and user cohorts.

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
This course explores the foundational concepts of Web Analytics, which is standard in the industry
Taught by Avik Bal, who is recognized for their work in Web Analytics
Teaches the basics & advanced features of Google Analytics 4, which is a crucial tool for digital marketers
Develops the skills necessary to build custom Google Analytics 4 Reports, empowering learners to gain deeper insights from their data
Teaches learners how to create KPI focused, highly customized Google Analytics Reports, which is essential for effective client presentations

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Reviews summary

Comprehensive & practical ga4 foundation

According to students, this course provides a thorough and practical approach to mastering Google Analytics 4, proving invaluable for digital marketers navigating the critical UA to GA4 transition. Learners consistently praise the instructor's ability to clarify complex GA4 concepts and the numerous hands-on exercises and practical examples that solidify understanding. While widely regarded as highly relevant and current for building a solid foundation in GA4, some experienced users note that the 'Advanced' title might be misleading regarding depth for those seeking cutting-edge or highly specialized techniques beyond core GA4 functionalities. Despite this, it effectively demystifies GA4 for its target audience.
Effectively covers core GA4 concepts for new and transitioning users.
"A solid introduction to GA4. It covers all the essentials needed to get started, especially the event tracking and custom reporting."
"Very helpful for understanding the new GA4 interface and its event-driven model. The section on attribution modeling was particularly useful."
"Now I understand event parameters, custom dimensions, and how to build reports. I now feel confident navigating and using GA4 for my work."
Crucial for transitioning to GA4 amidst the industry shift.
"As a digital marketer, the transition to GA4 was daunting. This course broke down everything, from setup to advanced reporting."
"The content is current and relevant, especially given the UA sunset."
"I was completely lost with GA4 before this course. Now I understand event parameters, custom dimensions, and how to build reports. It's a lifesaver for anyone working in digital marketing."
Instructor's explanations and hands-on examples simplify GA4.
"The instructor does an excellent job explaining complex GA4 concepts in an easy-to-understand manner. I particularly appreciated the hands-on exercises which helped solidify my understanding."
"Absolutely invaluable! The practical examples are gold. The instructor's clear explanations made a huge difference."
"Excellent course for demystifying GA4. The instructor is very knowledgeable and explains difficult topics clearly."
May not meet the 'advanced' expectations of experienced users.
"For someone already familiar with Universal Analytics, some sections felt redundant. I was hoping for more deep dives into predictive analytics or advanced API integrations."
"I found the explanations sometimes lacked depth, especially for 'advanced' topics as the title suggests. It feels more like an intermediate course than truly advanced."
"Decent overview. It felt a bit basic for an 'Advanced' course... Good if you're a beginner to GA4, but experienced users might find it too foundational."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Advanced Marketing Analytics with Google Analytics 4 with these activities:
Organize review materials
Make the most of the learning resources available to maximize your understanding of course content.
Show steps
  • Gather lecture notes, slides, and assignments
  • Organize notes into a logical structure
  • Highlight key points and concepts
Setup GA4
Ensure you have the technical foundation to fully participate in this course from day one.
Show steps
  • Sign up for a Google Analytics 4 account
  • Create a new Google Analytics 4 property
  • Install the Google Analytics 4 tracking code on your website
  • Set up conversion tracking in Google Analytics 4
Review summary
Begin the course by refreshing your understanding of the basic vocabulary and concepts for web analytics.
Browse courses on Google Analytics 4
Show steps
  • Define web analytics and its importance for marketing.
  • Describe the different types of web analytics data.
  • Explain the benefits of using web analytics.
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Attend a training workshop on Google Analytics 4 (in-person or virtual)
Receive guided instruction and practical exercises from experts to enhance your understanding and skills in using Google Analytics 4.
Browse courses on Google Analytics 4
Show steps
  • Research and identify reputable training providers
  • Register for a workshop that aligns with your learning goals
  • Attend the workshop and actively participate
  • Apply what you've learned to your own Google Analytics 4 implementation
Data analysis exercises
Solidify your ability to interpret data and draw insights from it.
Show steps
  • Analyze data provided by the instructor
  • Interpret the data to identify trends and patterns
  • Draw conclusions and make recommendations based on the data
Set up custom reports
Practice customizing reports in GA4 to pull the specific data you need to make informed marketing decisions.
Show steps
  • Create a new custom report in Google Analytics 4
  • Select the metrics and dimensions you want to include in your report
  • Filter the data in your report
  • Save and share your custom report
Create a Google Analytics 4 custom report
Gain hands-on experience with Google Analytics 4 by building custom reports tailored to your specific needs.
Browse courses on Google Analytics 4
Show steps
  • Identify your reporting objectives
  • Select relevant metrics and dimensions
  • Customize the report layout and visualization
  • Save and share your report
Volunteer at a local marketing agency
Gain practical experience with web analytics and contribute to real-world marketing campaigns.
Show steps
  • Contact local marketing agencies and inquire about volunteer opportunities
  • Attend volunteer training provided by the marketing agency
  • Assist with web analytics tasks, such as data collection, analysis, and reporting
Walkthrough: Create a marketing campaign using audience segments in GA4
Deepen your understanding of audience segmentation and its application in creating targeted marketing campaigns.
Browse courses on Google Analytics 4
Show steps
  • Create audience segments based on user behavior, demographics, and interests
  • Develop tailored marketing messages and content for each segment
  • Set up and monitor campaign performance using GA4
Create pull requests on Google Analytics GitHub
Contribute to the improvement of the Google Analytics 4 software by participating in the open-source community.
Show steps
  • Find an issue to work on in the Google Analytics GitHub repository
  • Fork the Google Analytics repository to your own GitHub account
  • Create a branch for your changes
  • Make changes to the Google Analytics code
  • Commit your changes and push them to your fork
  • Create a pull request to the Google Analytics repository
Attend industry conferences
Stay ahead of digital marketing industry trends and network with professionals in the field.
Show steps
  • Research upcoming industry conferences
  • Register for conferences that align with your interests
  • Attend conference sessions and workshops
  • Network with other attendees and speakers

Career center

Learners who complete Advanced Marketing Analytics with Google Analytics 4 will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected 50 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Advanced Marketing Analytics with Google Analytics 4.
This classic book by Edward Tufte must-read for anyone interested in data visualization. It covers a wide range of topics, from the principles of visual perception to the design of effective charts and graphs.
Seminal work on the grammar of graphics, a formal language for describing data visualizations. It covers a wide range of topics, from the basics of the grammar of graphics to the use of the grammar of graphics to create a variety of charts and graphs.
Provides an exhaustive, highly structured framework for planning, executing, and evaluating cross-channel digital marketing initiatives. Simon Kingsnorth systematically dissects search optimization, programmatic media, content distribution, and automation workflows. It serves as an indispensable reference for practitioners seeking to build cohesive, revenue-aligned digital engines.
Articulates the seminal inbound philosophy that transformed digital customer acquisition from intrusive outbound interruption to magnetic content-led discovery. Brian Halligan and Dharmesh Shah unpack search visibility, blogging cadence, social reach, and lead nurturing. It offers founders and marketers a proven blueprint for sustainable organic growth.
The third edition of the essential guide to data wrangling with pandas, NumPy, and Jupyter in Python. Updated for newer versions of the libraries, this book remains a core resource for anyone performing data analysis in Python. It widely used textbook and reference for its clear explanations and practical examples.
Transforms content marketing into a radical customer-first framework centered on answering buyers questions with unvarnished transparency. Marcus Sheridan details how addressing cost, comparisons, and problems directly on your website dismantles friction, accelerates the sales pipeline, and builds enduring commercial trust.
An updated and expanded version of Kaushik's classic work, this book explores advanced web analytics techniques and strategies, emphasizing data-driven decision-making for improving customer experience and business outcomes.
A comprehensive guide to advanced performance marketing techniques, including data-driven optimization, remarketing, and attribution modeling. Suitable for experienced marketers looking to refine their skills.
Established the conceptual foundation of modern digital marketing by demonstrating that customer attention must be earned through explicit consent rather than bought through unwanted broadcast. Seth Godin introduces value-driven communication sequences that remain the bedrock of modern email marketing, inbound workflows, and retention campaigns.
Clarifies brand messaging by applying classical narrative architecture to digital customer journeys, positioning the user as hero and the brand as empathetic guide. Donald Miller supplies actionable templates to overhaul website copy, landing pages, and email funnels, eliminating confusing corporate jargon to substantially boost digital conversion rates.
Elevates content creation across blogs, social posts, landing pages, and newsletters into an authoritative craft accessible to every marketing professional. Ann Handley delivers tactical rules on narrative empathy, grammatical cadence, and rigorous editing, empowering digital marketers to publish compelling copy that captivates target audiences.
Written by a Google Analytics evangelist, this book provides a comprehensive overview of web analytics, covering key concepts, tools, and techniques, with a focus on practical implementation for improving website performance.
Provides a foundational understanding of the fundamental principles of data science and the data-analytic thinking necessary for extracting value from data in a business context. It is highly relevant for undergraduate business analytics programs and working professionals. It serves as a useful reference for understanding the business applications of data analysis and is commonly used as a textbook.
A detailed guide to performance marketing analytics, covering data collection, analysis, and visualization. Helps marketers understand how to track and measure the success of their campaigns.
Provides a comprehensive overview of data visualization, covering the basics of visual perception, data types, and chart types. It great resource for beginners who want to learn the fundamentals of data visualization.
Introduces the Bullseye framework to help teams systematically discover, test, and scale the most productive customer acquisition channels among nineteen distinct options. Gabriel Weinberg and Justin Mares emphasize rapid experimentation, channel metrics, and iterative validation, preventing growth teams from prematurely locking into ineffective channels.
While the title includes 'for Developers', this book is highly valuable for anyone looking to deeply understand the technical implementation of Google Analytics using GTM. It provides foundational knowledge, practical recipes, best practices, and troubleshooting tips. It's a useful reference tool that helps solidify understanding and is often recommended by industry professionals for its comprehensive approach to integrating GA and GTM.
While not exclusively about GA4, this book is highly relevant for those looking to deepen their understanding of GA4 data when exported to BigQuery. It's a definitive guide to BigQuery, covering data warehousing, analytics, and machine learning. Given the strong integration between GA4 and BigQuery, this book is essential for advanced analysis and contemporary data activation use cases.
Outlines a comprehensive methodology for building a loyal, monetizable digital audience by producing high-value editorial content rather than transient advertisements. Joe Pulizzi shows marketers how to define a unique content niche, establish sustainable publication cadences, and engineer direct attribution models that tie storytelling to business growth.
Is recommended for those who want to dive deep into the functionality and insights offered by Google Analytics 4. It covers setup to data analysis, making it suitable for deepening understanding.
This guide aims to help users master GA4 for both web and app tracking. It covers setting up GA4, tracking key actions, utilizing reporting features, configuring goals, and leveraging integrations. It's suitable for gaining a broad understanding and beginning to deepen knowledge.
Focuses on the crucial skill of communicating insights from data effectively through compelling visualizations. is highly relevant for all levels, emphasizing the importance of clear and impactful data presentation. It is valuable additional reading that complements technical data analysis skills.
While not solely focused on GA4, this book offers a comprehensive approach to mastering Google Analytics for business impact. It covers strategy, implementation, reporting, insights, and optimization. Given the authors' expertise, it's likely to provide valuable context and advanced techniques applicable to GA4, making it suitable for deepening understanding and seeing how GA4 fits into a broader analytics strategy.
Bridges direct-response marketing fundamentals with contemporary software automation, CRM integration, and artificial intelligence capabilities. Dan Kennedy and Parthiv Shah provide practical architectures for automated lead segmentation, dynamic follow-up sequences, and customer reactivation campaigns that optimize conversion pipelines.
Demystifies modern artificial intelligence tools and large language models for marketing practitioners seeking operational efficiency and enhanced campaign performance. Mark Lamplugh presents hands-on strategies for automated content generation, predictive analytics, prompt engineering, and audience clustering to modernize everyday agency and in-house workflows.
Equips practitioners with the analytical rigor needed to extract actionable business intelligence from complex consumer data streams and digital marketing channels. Kevin Hartman covers data collection architectures, multi-touch attribution modeling, performance dashboards, and storytelling with metrics to ensure digital investments demonstrate measurable return.
Provides an agile playbook for modern omnichannel growth, showing performance marketers how to align organic content initiatives with paid acquisition funnels while safeguarding CAC in increasingly saturated digital channels.
Another valuable free e-book for beginners, this resource covers the introduction to GA4, its benefits, account hierarchy, and key differences from Universal Analytics. It's useful for understanding the foundational aspects of GA4 and why migrating from the previous version is important. is helpful for providing background knowledge.
Bridges the gap between statistical theory and its practical application in data science using R and Python. It focuses on the statistical concepts most relevant to data scientists and provides code examples. It's a useful reference and learning resource for those applying statistics in their work.
Offers a new way of thinking about data science and ethics informed by intersectional feminist thought. It challenges existing power structures within data and explores how data can be used to work towards justice. It's highly relevant for contemporary discussions around fairness and bias in data analysis.
Delivers a systematic operational checklist for executing technical and on-page search engine audits, guiding digital marketers through Core Web Vitals diagnostics, indexation hygiene, and algorithmic visibility recovery.
Examines the next frontier of digital customer engagement by integrating physical and virtual touchpoints into cohesive, immersive brand experiences. Philip Kotler and co-authors explore spatial computing, augmented reality, conversational artificial intelligence, and omnichannel ecosystems, preparing strategic leaders for the future evolution of interactive marketing.
Explores how modern technology can be deployed to elevate the human customer experience across dynamic digital and physical touchpoints. Philip Kotler investigates predictive marketing, contextual advertising, and augmented intelligence, offering strategic guidelines for harmonizing technical automation with genuine emotional resonance.
Provides a foundational understanding of web analytics, covering both technical and strategic aspects, including data collection, analysis, and interpretation, focusing on practical applications and case studies.
A deep dive into Google Analytics 4, covering advanced tracking techniques, data analysis, and reporting, focusing on extracting valuable insights for optimizing website performance and user engagement.
Distills decades of strategic insight into a coherent marketing philosophy rooted in cultural empathy, ethical positioning, and serving smallest viable markets. Seth Godin challenges growth-hacking obsessions, encouraging digital practitioners to solve meaningful customer problems and generate organic advocacy that endures beyond shifting ad network algorithms.
Provides a guide to creating effective and aesthetically pleasing data visualizations. It delves into the principles behind good visualization design, helping readers make informed choices about how to represent their data. It valuable reference for anyone creating visualizations, from students to professionals.
Is an excellent starting point for anyone new to data analysis or statistics. It demystifies core statistical concepts without relying heavily on mathematical formulas, making it highly accessible for high school and undergraduate students. It provides a strong foundation in the intuition behind statistical analysis and helps readers understand how data can be used and misused. This is valuable background reading that builds prerequisite knowledge.
Offers a comprehensive overview of marketing analytics techniques, covering data collection, data analysis, and data visualization. It provides step-by-step instructions and real-world examples to help readers understand how to use data to improve their marketing campaigns.
Provides a practical guide to customer journey orchestration. It valuable resource for businesses that want to deliver seamless customer experiences across all channels.
Provides a practical guide to mapping the customer journey, with step-by-step instructions and examples. It valuable resource for marketers and customer experience professionals.
Formulates fundamental strategic axioms that govern competitive positioning, category ownership, and brand perception in crowded marketplaces. Al Ries and Jack Trout deliver concise, memorable principles that help digital marketers resist dangerous brand dilution, focus message dissemination, and secure clear, defensible footholds in prospect minds.
Bridges perceptual psychology and modern digital brand strategy, demonstrating how consumer mental heuristics govern message absorption. Al Ries and Jack Trout provide an enduring framework for crafting distinct value propositions that break through algorithmic noise and secure defensible cognitive real estate in customer minds.
Teaches probability and statistics using a computational approach with Python. It's ideal for students and professionals with programming experience who want to understand statistical concepts by doing. It helps solidify understanding through hands-on application.
A timeless classic that remains highly relevant today. exposes common ways statistics can be manipulated or misinterpreted, fostering a critical eye essential for anyone working with data. It's valuable for all levels, from high school to professional, as it highlights the importance of data integrity and ethical considerations. This serves as crucial additional reading to develop data literacy.
Beginner's guide to using Tableau, one of the most popular data visualization tools. It covers the basics of Tableau, as well as how to use Tableau to create a variety of charts and graphs.

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