Skip to content
~/reflective_data

blog / ga4 guide

Welcome to Reflective Data’s Google Analytics 4 (GA4) Hub!

By Silver Ringvee · Oct 3, 2025 · 1 min read

We aim to create resources that are genuinely useful for data analysts, digital marketers, and engineers who want to better understand and work with the GA4 BigQuery export data (as well as other online and digital platforms). Our content ranges from beginner-friendly guides that help newcomers get started with BigQuery, to in-depth articles and references designed for experienced professionals who want to stay current or explore more advanced, specialized topics—and everything in between.

Keep in mind that this is an ongoing project and new content is added weekly.

All GA4 BigQuery-related guides are applicable for both the native export and the GA4 to BigQuery export via Parallel Tracking.

Contributors:

  • Reflective Data core team members – this includes data engineers, data analysts, and business analysts
  • Occasional guest contributors – this includes our partners, clients, and friends

Types of content you can expect to find from this hub:

  • GA4 to BigQuery SQL query examples
  • Best practices related to both BigQuery and GA4
  • Guides and deep dives into specific use cases, including integrations with BI tools

Got any questions or feedback? Please reach out.

author.md

written by

Silver Ringvee

Silver Ringvee is an expert in both traditional digital analytics and user behavior analysis. Besides analytics, Silver also has a strong experience in A/B testing and web development. Over the years, he has worked on over a hundred websites helping them become more profitable using various data-driven solutions.

We love AI, but this article was written by one of our experts.

put it into practice

Run it yourself, or have our experts do it

platform.md

the platform

Pipelines, dbt and exploration in one place

Reflective Data is our data platform: managed pipelines from hundreds of sources into your warehouse, hosted dbt with a semantic layer, and an AI data agent. Use all of it or just one part.

services.md

expert services

Senior specialists for your data stack

Analytics implementation, audits, A/B testing, BI and AI, delivered by the experts who write these articles. Vendor-neutral, for startups and enterprises.