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GA4 Pipeline -Episode 0: The Google Analytics (GA4) Ecosystem | Before You Touch Reports

  • Writer: Arif Khan
    Arif Khan
  • Jan 6
  • 2 min read

Updated: Jan 8

--author Arif Khan | founder zinzu.io



About this series


This is a five-episode series breaking down the Google Analytics (GA4) ecosystem by service, not by features. Think of it as a short series, not a binge.


Each article focuses on one layer of the GA4 pipeline and explains:

  • What that layer actually does

  • What decisions are made there

  • Where common misunderstandings begin


This is not a how-to or UI tutorial series.


The goal is clarity: to understand how GA4 works end-to-end, why it behaves the way it does, and where its natural limits are.



Live session

We’ll host a virtual session to walk through these ideas live, including whiteboarding and deeper technical discussion. Details will be shared soon.


To get notified:



Episodes in this series



About the Author

The author of this series has spent years building large-scale, event-driven data platforms processing petabytes of data.

These systems were designed to extract behavioral signals from raw events and translate them into decisions that affected real businesses.


That experience revealed a recurring pattern. Aggregations provide signals, but understanding why users behave the way they do requires context.

As businesses move beyond count-based analytics, interpreting event sequences and behavioral stories becomes increasingly critical for improving both top-line growth and operational efficiency.


Let’s start:

GA4 is often treated as a single analytics tool. It isn’t.


GA4 is an ecosystem of services, each responsible for a different stage of the data journey. Most confusion happens when these layers are mixed up.


Here’s GA4 pipeline in simplest form:


That’s it.

Each layer answers different questions and has different limitations.


Define

  • This happens in Google Tag Manager (GTM).

  • This is where event names, firing rules, and parameter values are defined.

  • Even when GTM is skipped, these decisions still exist somewhere.


Send

  • Handled by gtag.js (web) and GA4 SDKs (mobile)

  • This layer sends events from the browser or app.

  • It transports data.

  • It does not interpret meaning.


Collect

  • GA4 Collection & Processing

  • GA4 receives raw events and reconstructs sessions, users, and attribution.

  • Events are stored first.

  • Everything else is derived.


Interpret (GA4 UI)

  • Reports & Explorations

  • This is the visualization layer.

  • It works primarily with aggregates and predefined views.


Interpret (Data)

  • BigQuery Export

  • This is the raw event layer.

  • It exposes event-level data for custom analysis and deeper questions.


What’s next?


Now that we have a high-level view of the GA4 pipeline, the first real question is:


Where are events actually defined?

In the next episode, we’ll look at Google Tag Manager, where event names, triggers, and metadata are defined or decided:



 
 
 

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