- About this article
- Conclusion first
- Position within Google
- Perspective of general users and administrative staff
- Perspective of IT administrators
- Perspective of developers and automation
- Comparison with web and app analytics
- Safe experimentation
- Security and privacy
- Official Information
- What should you do next?
- GA4 records user behavior using 'events'.
- Additional Official Google Information
- Article-specific reassessment: GA4 measures based on events.
- Papanda TRY: Visualizing Fictional GA4 Events
- What kind of service is it, really?
About this article
This article is generated using an automated workflow powered by generative AI.
Google Analytics 4 (GA4) is a service that measures and analyzes user behavior on websites and apps with an event-centric approach. Based on official Google information, this is organized for beginners from a practical perspective.
Information verification date: 2026-09-19
Conclusion first
Google Analytics 4 (GA4) is a service that measures and analyzes user behavior on websites and apps with an event-centric approach.
| Perspective | Check points |
|---|---|
| Main objective | Google Analytics 4 (GA4) is a service that measures and analyzes user behavior on websites and apps with an event-centric approach |
| General user | Understand basic usage and interface screens |
| IT administrator | Verify permissions, data, contracts, and audits |
| Developer | Verify APIs, SDKs, tags, and other technical elements against official specifications |
| Comparison | Review role differences compared to web/app analytics |
flowchart LR U[利用者] --> S[Googleサービス] A[管理者] --> S S --> D[データ / 設定] Dev[開発者] --> I[API / SDK / タグ] I --> S
Position within Google
Google offers different services for advertisers, publishers, analytics, search management, and developers. First, verify 'who manages what' rather than relying solely on names.
Perspective of general users and administrative staff
Verify basic functions using official screens and test data. For advertising and analytics, understand the meanings of metrics, data sources, and measurement periods separately.
Perspective of IT administrators
Check users, administrators, permissions, external sharing, contracts, auditing, and external integrations. Assume that integrated services also have distinct permissions and configurations.
Perspective of developers and automation
If APIs or tags are present, check official documentation for Cloud Project requirements, authentication, OAuth scopes, rate limits, and billing. Do not store actual email addresses, customer IDs, Measurement IDs, tokens, API keys, or client secrets in public code repositories.
Comparison with web and app analytics
Associating this with web and app analytics can help you grasp the entry point, but there is no one-to-one mapping. Compare roles by aligning functions such as the advertiser, publisher, measurement entity, and search engine.
Safe experimentation
Check current terms of service on official pages.
Use test or dummy data.
Start with read-only access or previews.
Double-check the target, cost, and scope before executing billing or publishing operations.
Verify APIs and tags in a staging environment.
Success criteriaEnsure that only the intended targets are displayed, measured, and managed, with no unintended exposure, billing, or permission grants.
Security and privacy
Use the principle of least privilege.
Do not include personal information or internal identifiers in public examples.
Do not store credentials in GitHub.
Verify consent and privacy requirements for advertising and analytics.
Check the budget and billing details for paid services.
Official Information
What should you do next?
Determine whether you are a user, IT administrator, developer, advertiser, or publisher, and test only the screens and permissions required for that role.
GA4 records user behavior using 'events'.
In GA4, you can measure not only page views but also interactions and occurrences such as link clicks, completed purchases, and app crashes as events. Beginners will find it easier to understand if they view it not just as a 'tool for viewing traffic', but as an 'infrastructure for analyzing what happened on a site or app using events'.
What to check first in practical work
Define what constitutes a conversion or success metric.
Verify which event captures that action.
Confirm data transmission using verification tools such as DebugView before proceeding to report evaluation.
Additional Official Google Information
Article-specific reassessment: GA4 measures based on events.
Google Analytics 4 measures web and app usage focusing primarily on events and parameters. It is important not to confuse layers such as properties, data streams, events, users/sessions, and conversions/key events.
Papanda TRY: Visualizing Fictional GA4 Events
The Daily Code candidate is page_view、scroll、click HTML that displays dummy JSON in the browser timeline. Next, we aggregate the counts by event name using PowerShell, using the same data viewed from two directions: "screen display" and "aggregation" as educational material.
What kind of service is it, really?
Google Analytics 4 (GA4) is a service that measures and analyzes user behavior on websites and applications primarily through events.
The differences from similar services are easier to understand when organized by "who the service is for and what data or settings it handles."
