Description

Simo Ahava – Google Analytics 4 in Big Query

Simo Ahava – Google Analytics 4 in Big Query . File Size – 9.72 GB .

What You Get:

01-Introduction

02-Getting Started

03-Events & Users

04-Engagement & Retention

05-Monetization & Lifetime Value

06-Advanced Queries

07-Office Hours sessions

Cultcourse readme Pdf

Getting Started

– Setup the Big Query environment

– Link Google Analytics 4 and Google Big Query

– Access the course dataset

– Explore the Google Analytics 4 export schema

– Run your first SQL query

Events & Users

– Understand GA4’s session and user data models

– Sessionize the event data stream in Big Query

– Group data by users and different user-based dimensions

– Access user properties

– Learn how to unnest data

– Learn about query costs (and optimization)

Engagement & Retention

– Replicate and customize GA4’s sessionization logic

– Use “engagement” as a way to segment data

– Build custom pathing reports to show how users navigate your website

– Build comprehensive event reports and event funnels

– Replicate and customize GA4’s retention model

– Integrate Google Big Query with Google Data Studio

Monetization & Lifetime Value

– Explore the ecommerce event schema in the GA4 data

– Calculate ecommerce metrics

– Explore how GA4 utilizes “items” in ecommerce events

– Build a comprehensive items funnel report

– Calculate and visualize the lifetime value of users

Advanced Queries

– Learn advanced techniques for working with Google Big Query and Google Analytics 4

– Craft your own concept of an “engaged session”

– Combine GA4 data with other public datasets

– Flatten the GA4 schema to work with relational databases

– And many more . this section is constantly updated with new content

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