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  • Getting Started
    • Welcome to AdLibertas
  • The Platform
    • How it works
    • User-Level Audience Reporting
      • Creating Reports
        • Creating a New User Report
        • Creating Advanced User-Level Reports
        • Advanced Audience Builder
        • Custom Event Metrics
      • Report Layout
        • Report Module: Audience Filtering
        • Chart Type Module: Absolute vs. Relative Reports
        • Daily Totals, Per User, Cumulative Totals
        • Lifecycle Reports
        • Forecasting Module
        • Statistics Module
        • Measuring Confidence
      • Advanced Reporting Methods
        • User Measurement & Calculation Details
        • Date Ranges: Define Audience vs. Create Report
        • Exclude GAID tracking opt-outs
        • Scheduled Reports: Keep Updated & Rolling
        • Reporting on a Firebase AB test
        • Understanding “Audience Restraints”
        • Adding user time to your reports
    • Consolidated Revenue Reporting
      • Reporting Discrepancies
      • Reporting Availability & Timezones
      • Ad Network Re-Repost; Also: Revenue Reconciliation Accuracy
      • Consolidated Reporting vs. Consolidated Inventory Reporting
      • Reporting Table – Column Descriptions Common Metrics (Calculated Fields)
      • Facebook Reporting
      • Consolidated Ad Revenue with multiple mediators
    • Business Analytics
      • Analytics Layout
      • Understanding the "Explore Data" button
      • The Data Table
      • Asking a Question
      • Saving a Question
      • Creating a custom dimension
      • Setting up a pulse
    • Custom Dashboards
      • Custom Dashboard Filters
      • Combining data into a single chart
    • Direct SQL Access
    • Exporting Data
      • Ad Network Reports
      • Chart Reports
      • Custom API connections
      • Downloading & Scheduling Data Reports
      • Deprecated: Line Item Change Log
    • General
      • Change your Username & Password
      • Adding Users to your Account
      • Sharing Collaborative Links
      • AdLibertas Cost
  • Data Integrations
    • Connecting in 3 steps
    • Ad Impression-Level Revenue Connections
      • AppLovin Max User Revenue API
      • ironSource Ad Revenue Measurement Integration
      • Impression level tracking with Admob Mediation
      • Collecting MoPub Impression-Level Data as a Firebase Event
    • Ad Network & Store Connections
      • Adding Ad Network Credentials
      • How does App Store Reporting work?
      • Adding access to Google Play
      • Adding Sub User to App Store Connect
      • Getting the most from Ad Network Reports
    • Analytics Connections
      • Data Set Status
      • Connect AdLibertas to Firebase
      • Connecting AdLibertas to BigQuery
      • Firebase Install Counts in Audience Reporting
      • Setting User Campaigns in Firebase
      • Why use revenue to determine Firebase AB test winners?
      • Firebase Best Practices: keeping Google BigQuery Costs Down
    • Custom Integrations
      • Sending Events via Webhooks to AdLibertas
      • Impression level tracking with Admob Mediation
      • Connecting AdLibertas to BigQuery
      • Importing a custom data set
    • IAP Connections
      • Tracking IAP & Subscriptions in Firebase and BigQuery
      • RevenueCat Integration: WebHooks
      • RevenueCat: Setting Universal Identifiers
    • MMP Connections
      • Connecting Adjust
      • Connecting AppsFlyer
      • Connecting Kochava
  • FAQs
    • General
      • Why does AdLibertas need credentials?
    • Audience Reporting
      • Why doesn't my daily active user count match Firebase?
      • Why doesn’t my retention rate match?
      • Why aren't my install rates matching?
      • Why doesn't my relative user count match retention?
      • What is the probability projected LTV becomes actual LTV?
      • Why doesn’t Firebase and AdLibertas revenue match?
    • Reporting
      • What is “non_mopub” revenue
      • How do customers use AdLibertas?
  • Privacy & Security
    • Privacy & Security Details
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  • Step 1: Link Google BigQuery to Firebase
  • Step 2: Add AdLibertas as a viewer to your Firebase Project
  1. Data Integrations
  2. Analytics Connections

Connect AdLibertas to Firebase

This article covers how to enable AdLibertas to collect and store Firebase analytics and AB testing data

PreviousData Set StatusNextConnecting AdLibertas to BigQuery

Last updated 2 years ago

Step 1: Link Google BigQuery to Firebase

Firebase by itself doesn’t allow access to individual events. To enable AdLibertas Audience Reporting to access your Firebase data you’ll need to first (google documentation)

Data Sampling on Spark: inaccuracies on the free plan

Google BigQuery is available for all Firebase projects. For Firebase projects that stay on the Spark plan, the raw event data exported to BigQuery is sampled and only represents ~10% of the actual events on the free plan. To export all events you’ll need to upgrade to the

  • You’ll need Firebase owner privileges to enable this feature

  • Be sure to include advertising identifiers.

  • We recommend daily exports, to .

Note: Today we only export Google Analytics, so you don’t need to enable Crashlytics / / etc. But you will want to export Include advertising identifiers in export for maximum user granularity.

It takes up to 24 hours for the dataset to be created and for event collection to begin.

Step 2: Add AdLibertas as a viewer to your Firebase Project

Next, you'll want to invite an AdLibertas-enabled Firebase user to your project(s). In addition to your data export, this will enable us to pull Experiment names directly from your AB tests running in Firebase.

Add <yourcompanyname>@adlibertas.com to your Firebase project with Viewer role.

You’ll need to have owner privileges to add members to your Firebase account.

1. to Firebase. 2. Select the project associated with the app you want to share access 3. Click, then select Users and permissions. 4. On the Permissions page, click Add member. 5. In the user dialog, enter 6. Select Viewer as role.

Related:

Firebase Reporting Details
link a Firebase project to BigQuery
Blaze Plan.
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