Preparing for First Yard Data Analysis

01 Getting Started with Google Analytics 4
01-1 Understanding Google Analytics
01-2 Understanding Data Structures

02 Building the Basics of Data Analysis
02-1 Online Behavior Data
02-2 Data Analysis Process

03 Designing the GA4 Basic Structure and Events
03-1 Understanding the Basic Structure
03-2 Understanding Events
03-3 Designing a Custom Event
03-4 Learn about user properties
03-5 Understanding E-Commerce Data

04 Collecting Website Data
04-1 Before collecting data
04-2 Collecting Data with Google Tags
04-3 Collecting Data with Google Tag Manager
04-4 Data Collection Tips

05 Collecting App Data
05-1 Before collecting app data
05-2 Collecting App Data
05-3 Tagging Events in Native Apps
05-4 Debugging Apps
05-5 Tagging Events in WebView

06 Setting up Analytics
06-1 Setting up data filters
06-2 Editing and Creating Events
06-3 Setting up recommendation exclusions
06-4 Collecting User IDs
06-5 Setting up the transition
06-6 Adding a User

Dealing with the Second Yard Report

07 Measurement criteria and measurement items
07-1 Measurement criteria and measurement items
07-2 Predictive Metrics and Analytics 360

08 Using Custom Definitions
08-1 Learn about custom definitions
08-2 Creating a Custom Metric
08-3 Scope of custom measurement criteria
08-4 Custom Metrics

09 Screen layout and menu
09-1 Understanding the screen layout and search window
09-2 Learn about the menu

10 Basic Reports and Advertising Reports
10-1 Basic Report
10-2 Advertising Report

11 Explore and Analyze
11-1 Exploratory Analysis Techniques
11-2 Familiarizing yourself with the Navigation Analysis screen
11-3 Creating an Exploration Analysis Report
11-4 Inflow Path Exploration Analysis
11-5 Homogeneous Group Exploration Analysis
11-6 Segment Overlap Analysis
11-7 Path Exploration Analysis

12 Creating Segments and Audiences
Learn about segment 12-1
12-2 Generating Leads

Expanding Third Yard Data Analysis

13 Connect with other products
13-1 Connecting to Google Ads
13-2 Connecting to Search Console
13-3 Connecting to BigQuery

14 Data Analysis Using BigQuery
14-1 Measuring Performance
14-2 Creating a Dashboard

15 Using Looker Studio
15-1 Visualizing Data
15-2 Analytics Property Quota

Search

“Which page do most users reach when they access Google?”
“How many people end up making a purchase after seeing a promotional banner on your site?”
“How do we define user groups with specific conditions and analyze retention rates?”
“How many duplicate buyers are there in a product category and what are the differences?”
“Where do users come from before they reach the login page?”

This book will walk you through the process of answering these questions using Google Analytics 4.
This practical example explains how to collect customer behavior data by applying Google tags to your website or mobile app and analyze it using the various reports provided by Google Analytics 4.


- Covers various analysis reports in Google Analytics 4. Explains in detail the concepts of 'measurement criteria' and 'measurement items' used in various reports in Google Analytics 4, and explains the core functions of Google Analytics 4, from basic reports and advertising reports to exploratory analysis, segment and audience creation, using screenshots, figures, and tables.


- Expand GA4 by connecting it to other products. We'll also show you how to connect it to Google Ads, Search Console, and BigQuery to broadly utilize the data collected through Analytics.
We'll also cover how to connect with BigQuery to create reports, visualize them with Looker Studio, and share them.


- Always study the latest content. This book focuses on Google Analytics 4, but it also covers new concepts, features, and differences for users of the previous version, Universal Analytics (UA).
Additionally, Google Analytics 4 is continuously updated, so we provide the latest information and answer questions through YouTube, community, and email managed by the author (see 'Easy Publishing Reader Learning Support' below).


- It's OK to study alone, and it's OK to take short-term courses. Whether you're self-studying or learning at school or an academy, write down your target dates on the progress chart provided in the book and learn GA4 at your own pace.
Setting goals increases your chances of completing the book.

· Target audience for this book
- Digital marketing professionals such as marketers, website or mobile app operators, planners, and salespeople
- Those who want to switch from Universal Analytics (UA) to Google Analytics 4 (GA4)

· Aegis Publishing Reader Learning Support
- Author's YouTube channel: www.youtube.com/@pluszero604 (lecture updates)
- Author email for Q&A: ga4@pluszero.co.kr
- Latest updates: Do it! Study Room (cafe.naver.com/doitstudyroom)
- Join the [Do it! Study Group] run by 'Do it! Study Room'.
If you study with this book and write your own study notes, you can receive other books published by Aegis Publishing as a gift.