The goal of this post is to share tips and best practices for visualizing your Firebase Analytics data in BigQuery and Data Studio, and give you a few samples to help get started.
Sometimes you have multiple actions with separate event names that share a common parameter. This post will allow you to view how frequently each event occurs by the value of your event parameter.
This post will show you how to create a table that shows multiple different parameters of the same firebase event as dimensions using Data Studio and BigQuery.
The UNNEST operator allows you to run queries that flatten the data into the simple format required by your data visualization tools (such as Data Studio).
This post will guide you through the process of integrating a Firebase Analytics project with Google’s fully managed data warehouse BigQuery.
This post will give you all of the tools you need to QA your Google Analytics for Firebase tags in a test version of the app (or website).
At first glance the User ID seems simple enough, but it can get a big complex when you start pulling reports. The purpose of this post is to explain how the User ID is used to generate reports.
This post will bring you up to speed on how to install the User ID across your platforms and verify that it is working properly in Google Analytics.
There are many reasons why you might opt to set up a “page_view” event that is separate from your configuration tag. This post will explain why you might need to do this, and share some best practices to make sure you’ve done it correctly.
This post will explain how GTM works with Firebase Analytics and why you should consider using it.