Back to all posts
How-Tos
October 23, 2024
Thomas Bosilevac

GA4 Landing Page Report using BigQuery

Google Analytics 4 (GA4) is a powerhouse, offering profound insights into user behavior and website performance. To harness GA4's full potential, mastery of SQL queries is indispensable.

Introduction

Google Analytics 4 (GA4) is a powerhouse, offering profound insights into user behavior and website performance. To harness GA4's full potential, mastery of SQL queries is indispensable. In this blog post, we unravel the intricacies of user interactions on landing pages, offering a detailed GA4 Landing Page Report using BigQuery.The provided code dives into metrics such as screen page views, sessions, engaged sessions, total users, bounce rate, and average engagement time per user. Join us as we dissect the code, providing insights into user behavior, optimizing landing pages, and enhancing overall digital experiences using GA4 Landing Page Report.The SQL queries provided in this blog post are tailored for execution in BigQuery, Google's enterprise data warehouse. BigQuery is a cloud-based platform designed for fast and efficient analysis of large datasets.This post is an invitation to wield GA4 and SQL queries as precision instruments, transforming raw data into actionable intelligence for digital success. Happy querying!

The SQL Query:



Breaking Down the Query:

  1. Main Query:
    • Focuses on key landing page metrics such as screen page views, sessions, engaged sessions, total users, bounce rate, and average engagement time per user.
  2. Subquery - UNNEST and Data Transformation:
    • Utilizes the UNNEST function to transform and extract essential data from event parameters.
    • Cleans and structures data for further analysis.
  3. Metrics Extraction:
    • Extracts landing page information, screen page views, session ID, engaged sessions, user pseudo ID, and engagement time (in seconds).
  4. Time Frame Restriction:
    • Filters data based on the desired time frame (e.g., October 2023) for a specific reporting period.
  5. Calculations:
    • Calculates metrics such as bounce rate and average engagement time per user using advanced mathematical expressions.
  6. Grouping and Aggregation:
    • Groups data by landing page to provide insights into the performance of each page.
    • Aggregates metrics for a consolidated view.

Output Table:

Conclusion:

By analyzing crucial metrics, organizations can optimize content, enhance user experiences, and strategically tailor their digital strategies. Embrace the power of GA4 analytics, transforming raw data into actionable intelligence for informed decision-making and digital success.Discover a treasure trove of powerful GA4 queries in our primary blog post, "Top Queries within Google Analytics 4." Go to our blog area here to read more intriguing blogs of this kind.