Master Google Analytics 4 Reports And Gtm Basics In 2022
Last updated 8/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 8.86 GB | Duration: 10h 56m

Learn to analyze Google Analytics 4 reports, create powerful custom reports and tailor GA4 data with Google Tag Manager

What you'll learn
Use Google Analytics 4 (latest version) reports for businesses
Understand how to tailor the Google Analytics 4 account to fit custom business needs
Understand the power of enhanced custom reports in Google Analytics 4
Learn the basics of Google Data Studio
Learn the art of modeling data and making it available in GA4 for any website
Learn the basic of enhanced ecommerce data implementation

Requirements
None.

Description
Google Analytics 4 is the future of Google Analytics, released in 2020 and getting a wide range acceptation. Therefore, it is time for all of us to be ready to master it. This course helps you achieve the same.We analyze all the reports in Google Analytics 4 - Acquisition reports, Retention Reports, Engagement Report, Events, Conversions, Monetization ReportsWe get a thorough understanding of how to create powerful custom reports in GA4 and Google Data Studio.We learn to install Google Analytics and Google Tag Manager on a website and tailor the data in google analytics as needed by your business.For the assignment, we have a project in which you install a website, the files for which are shared in this course, connect with google analytics and tag manager and we together attempt the customization activities. You don't have to do any coding whatsoever.Therefore, all in all, this is truly a comprehensive course on Google Analytics 4 for you to gain mastery.If you are not convinced yet, check out the open videos from the courses, check out the reviews on my other Udemy courses, and then make a decision. Reviews from my other google analytics course:5* The course was very well put together, The course instructor is very calm and composed and explains every aspect of the course with great detail and clarity. I will definitely recommend this course and Mr. Rudranil Chakrabortty to all Enhanced E-commerce enthusiasts.5* Thank you for this course, it is very well structured and really insightful. I really enjoy it 5* Very Nicely explained & very well-paced. What was amazing was the efforts taken to guide & enable us to deploy data layers & tags from our side on a website that makes this course outstanding & like on-the-job training for practice. It was very easy to understand & thank you for making such a wonderful course Rudranil. I have also purchased your other course on enhanced e-commerce to learn & specialize more in-depth on the ecom. Thank you & keep making more courses like this Rudranil.5* This is such as great course that made me want to take the rest of Neil's course. I am indeed taking another one of his courses. The course content helped me configured our company's new website analytics. Neil's teaching style is very clear, structured, practical, industrial, and full of important contents. Neil does care about his students and very responsive to all the questions I have. Highly recommenced!5* I totally loved the course content. I'd highly recommend it for all those learners who wish to learn they WHYs and the HOWs. Although, I'm not from analytical background and earlier I never believed in the power of Analytics due to my limited understanding, but this course really helped me to expand my horizons and look beyond traditional ways of doing things. Above all, the instant and detailed answers to all my questions by Rudranil was beyond my expectations. Thank You veyr much Rudranil All the best! I hope to meet you in the course.
Overview
Section 1: Lets Begin
Lecture 1 Course Structure, Plan, and Overview
Lecture 2 Pace of the Lectures
Lecture 3 How to Analyze Website Data with Google Analytics
Lecture 4 Basic Navigation Guideline of the GA4 Account
Section 2: Analysis: Traffic Volume
Lecture 5 Lets Start our Analysis of Beginner Traffic Data
Lecture 6 Where are Your Users Coming From
Lecture 7 GA4 Jargons, Users, and Concepts Important for Traffic Analysis
Lecture 8 Source and Medium Concept for Traffic Analysis
Section 3: Analysis: Traffic Relevance
Lecture 9 Learning About Your Visitors
Lecture 10 Demographics of Your Target Audience (Visitors)
Lecture 11 Devices and Technology of Your Visitors
Lecture 12 Learning Specific Aspects About Your Visitors
Lecture 13 Identifying Overlapping Segments of Your Visitors
Section 4: Analysis: How Google Analytics 4 Works
Lecture 14 How Google Analytics Works
Lecture 15 Google Analytics 4 Events - Concepts
Lecture 16 Capturing Data Using GA4 Events
Lecture 17 Google Tag Manager - Non-Developer Perspective
Section 5: Analysis: Traffic Engagement
Lecture 18 Analyzing and Using Events
Lecture 19 Page-Level Analysis of Your Website
Lecture 20 Path Analysis for Understanding Visitor Journey on Your Website
Section 6: Analysis: Traffic Sustainability
Lecture 21 Traffic Sustainability Analysis With Cohort Analysis Reports - Part - I
Lecture 22 Retention Analysis of Website Traffic
Lecture 23 Cohort Analysis - Granular Analysis
Lecture 24 Engagement Overview - DAU, MAU. WAU
Lecture 25 Tracking Individual User Actions In GA4
Lecture 26 Concept Behind the UserID Tracking
Section 7: Analysis: Meaningful Traffic
Lecture 27 Funnel Concepts
Lecture 28 Funnel-Based Goal Analysis
Lecture 29 More Data on Business Goals
Lecture 30 Business Goal Analysis With Monetization Reports
Lecture 31 Attribution Modeling - Concept
Lecture 32 Attribution Modeling - Reports
Section 8: Planning: Data Modeling Concepts with GA4
Lecture 33 Thinking About the Website Data to be Modeled
Lecture 34 Data Modeling for a Typical Ecommerce Website - Part - I
Lecture 35 Data Modeling for a Typical Ecommerce Website - Part - II
Lecture 36 Data Modeling for a Typical Ecommerce Website - Part - III
Lecture 37 Data Modeling for Non-Standard Websites - Part - I
Lecture 38 Data Modeling for Non-Standard Websites - Part - II
Lecture 39 Revisiting The Monetization Reports
Section 9: Customization: Custom Reports and Data Studio Introduction
Lecture 40 Customized Tabular Reports In GA4
Lecture 41 Completely Modify Google Analytics Reports and Layouts with Library
Lecture 42 Google Data Studio Basics
Lecture 43 Chart Types In Data Studio
Lecture 44 Using Data Filters and Other Tools
Lecture 45 Customizing Data with Formulas and Arithmetic In Google Data Studio
Lecture 46 Creating Advanced Custom Funnels In Data Studio
Section 10: Implementation: Project Details and Setup
Lecture 47 Who this Project is for?
Lecture 48 Install the Project
Section 11: Implementation: Google Analytics 4 with Tag Manager
Lecture 49 Create a New Google Analytics 4 Account
Lecture 50 Connect Google Analytics 4 to the Website
Lecture 51 A Case for the Need of Google Tag Manager
Lecture 52 Create a New Google Tag Manager Account
Lecture 53 Understand How Google Tag Manager Works
Lecture 54 Link the Website, Google Analytics 4, and Google Tag Manager
Lecture 55 Implement our First Event using the Google Tag Manager
Lecture 56 Understand the Preview Mode (Tag Assistant) in Google Tag Manager
Lecture 57 Understand the Debug View in Google Analytics 4
Lecture 58 Final Steps to Complete the Event Creation
Lecture 59 Optimize the use of Tags and Triggers in Google Tag Manager
Lecture 60 Understand Event Parameters - Concepts
Lecture 61 Understand Custom Metrics and Dimensions - Concepts
Lecture 62 Technique to Capture Event Parameters
Lecture 63 Advanced Use of Custom Metrics and Dimensions
Lecture 64 What is the Data Layer
Lecture 65 Configure Advanced Custom Metrics, Dimensions using Google Tag Manager
Lecture 66 How to push Data into the Data Layer
Lecture 67 Events and Conversions in Google Analytics 4
Section 12: Implementation: User Behavior Data Designing Opportunities in Google Analytics 4
Lecture 68 Understand User Properties and Audiences in Google Analytics 4
Lecture 69 Configure User Properties and Audiences
Lecture 70 Understand User ID Tracking Fundamentals
Lecture 71 Implement User ID Tracking
Section 13: Implementation: Ecommerce/Monetization Reports - How it Works
Lecture 72 E-Commerce Implementation Basic Concepts
Lecture 73 Implementation Plan In Our Practice Website
Lecture 74 Implement The First Step of E-Commerce Data Collection
Lecture 75 Implement Product Views, Add To Carts And More - I
Lecture 76 Implement Product Views, Add To Carts And More - II
Lecture 77 Capturing Data Dynamically In The Ecommerce Implementation
Section 14: Lets Close
Lecture 78 Parting Thoughts
Section 15: Additionals
Lecture 79 Web Application And Android Application Together In Google Analytics 4
Lecture 80 Filter Internal or Unwanted Traffic from your Google Analytics 4 Account
Google Analytics Beginners, Intermediate Learners,Digital Marketing Managers,New Age Digital Startups,Web Analytics Enthusiasts

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