Firebase Analytics

Last updated on Apr 25, 2023
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Firebase Analytics is a tool that helps developers track how their Android and iOS users are engaging with their application. Firebase is Google’s mobile-based application development platform that helps to develop, improve and grow mobile applications by providing features such as performance monitoring and app-testing infrastructure. It is part of Google’s mobile application development platform, Firebase, which offers features such as performance monitoring and app-testing infrastructure to aid in the development, improvement, and growth of mobile applications.

Hevo allows enables you to generate analytical reports based on the data stored in the Google Analytics 4 (GA 4) property, which is connected to the Firebase Software Development Kit (SDK). These reports are made up of:

  • Metrics: These are statistical parameters that you measure for websites and mobile applications.

  • Dimensions: These are attributes in a report for which you want to see the statistics.

For example, the following report table that shows one dimension (Date) and one metric (New Users).

Metrics and Dimensions

Optionally, you can create pivot reports that are generated by applying an aggregation on top of selected dimensions and metrics in the parent report.

Note: You can create only one pivot report per parent report.

Prerequisites

Configuring the Google Analytics 4 Property for your Firebase Account (Optional)

If you are an existing user of Firebase, you must configure the GA 4 property in your respective Firebase account before configuring Firebase as a Source in Hevo.

Read, Link your Firebase project to Analytics to configure a GA 4 property in your existing Firebase account.

Configuring Firebase Analytics as a Source

Perform the following steps to configure Firebase Analytics as the Source in your Pipeline:

  1. Click PIPELINES in the Navigation Bar.

  2. Click + CREATE in the Pipelines List View.

  3. In the Select Source Type page, select Firebase Analytics.

  4. In the Configure your Firebase Analytics account page, click + ADD FIREBASE ACCOUNT.

    Add Firebase account

  5. Select the Google account linked to the Google Analytics data, and click Allow to authorize Hevo to access the data.

    Authorize Hevo on Firebase

  6. In the Configure your Firebase Analytics Source page, specify the following:

    Configure Firebase

    • Pipeline Name: A unique name for the Pipeline, not exceeding 255 characters.

    • GA4 Account Name: The authorized Google account to which the Google analytics accounts are connected.

    • Property Name: The website, application, or entity associated with the account for which user analytics data is to be accessed.

    • Historical Sync Duration: The duration for which past data must be ingested. Default: 6 Months.

    • Report Name: A unique name for your report, not exceeding 30 characters.

    • Dimensions: The properties of the data that you need in your report.

    • Metrics: The quantitative measurements for the properties that you have selected in your report.

    • Pivot Report (Optional): A report generated by applying an aggregation on the selected dimensions and metrics.

      • Pivot Dimensions: A subset of the dimensions selected in the parent report.

      • Pivot Metrics: A subset of the metrics selected in the parent report.

      • Pivot Aggregation Function: The functions you want to apply in the pivot report. For example, sum, minimum, maximum, and count.

    • ADD ANOTHER REPORT (Optional): Use this option to create up to five reports and five pivot reports.

  7. Click TEST & CONTINUE.

  8. Proceed to configuring the data ingestion and setting up the Destination.

Data Replication

Default Pipeline Frequency Minimum Pipeline Frequency Maximum Pipeline Frequency Custom Frequency Range (Hrs)
1 Hr 15 Mins 12 Hrs 1-12

Note: The custom frequency must be set in hours, as an integer value. For example, 1, 2, 3 but not 1.5 or 1.75.

  • Historical Data: In the first run of the Pipeline, Hevo ingests historical data for all the reports based on the historical sync duration selected at the time of creating the Pipeline and loads it to the Destination. Default duration: 6 Months.

  • Incremental Data: Once the historical data ingestion is complete, every subsequent run of the Pipeline fetches new and updated data for the reports.

    Note: Hevo fetches the incremental data for all the reports in one go to reduce the number of API calls made to the Google Analytics 4 Data API.

  • Data Refresh: Hevo refreshes the data daily for the last three days.

Schema and Primary Keys

  • All the dimensions in a report are set as primary keys.

  • The suffix, _pivot, is added to the report name to represent pivot reports.

  • The aggregation_function column in the pivot report contains sum, minimum, maximum, or count values.

    For example, if you want to check the maximum daily page views for each page on your website, the count value represents the number of page views and the maximum value represents the maximum page views.

Revision History

Refer to the following table for the list of key updates made to this page:

Date Release Description of Change
Apr-25-2023 NA New document.
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