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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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On this page
  • Walk-through video asking a custom question
  • Step 1: "Data" - Choose your data table
  • Step 2: "Filtered By" - Setting filters
  • Step 3: "View" - choose metrics/dimensions for your report
  • Step 4: "Grouped By" - Choose data segmentation
  1. The Platform
  2. Business Analytics

Asking a Question

PreviousThe Data TableNextSaving a Question

Last updated 3 years ago

If you're just getting started, we recommend you read the .

Walk-through video asking a custom question

Step 1: "Data" - Choose your data table

The "data" field allows you to select data tables available to you. These tables will depend on which products you've signed up for in AdLIbertas.

  • AdLibertas Cost: Deprecated

  • App Store and MoPub Revenue: Deprecated

  • App Store Subscriptions: Same as above, except for subscriptions.

  • Line Item Change Logs: deprecated

  • MoPub Campaign Reporting deprecated

  • MoPub Inventory Reporting: deprecated

  • Reporting Relative Audience Reports: Table containing results of the recently run user-level relative report. Every report run overwrites previously created data.

  • Users By App Version: A table outlining revenue, impressions, and users by app version. Useful for setting up custom KPIs to track new app releases.

Step 2: "Filtered By" - Setting filters

Filters limit the amount of data returned in your report.

Each table has the ability to limit the data by column or row values in the table. In the example above a date filter will only return data from within the selected date ranges.

PivotTable Junkies: This is your FILTERS field

Step 3: "View" - choose metrics/dimensions for your report

The view section allows you to choose metrics to be returned in your report.

This section will allow you to add metrics to your report, such as users, impressions, or revenue. In a chart, the metrics will be the individual variants. In a table, the metrics will be table values.

PivotTable Junkies: This is your VALUES field

Step 4: "Grouped By" - Choose data segmentation

The group by section allows you to break out your report by values in your table. You can only chart 20 individual groupings.

PivotTable Junkies: This is your ROW field

App Store IAP: in-app purchase data collected from the app stores. For more information please see .

Audience Reporting Metrics: volume and count of user-level data you are importing. For more information, see

Consolidated Reporting Data: Table of all ad revenue earnings. For more information see

Consolidated Reporting Inventory Data: For the difference see

Reporting Absolute Audience Reports: Keeps an updated table of your most recently run level . Subsequent reports will overwrite previously run reports.

Reporting Absolute Audience Historical Reports: A comprehensive table of all user-level . Every day an absolute report is updated, a historical record will be stored.

Reporting Relative Audience HIstorical Reports: Table contains the daily historical record of -level reports. Every day an absolute report is updated, a record will be stored in this table.

Once you get familiar with metrics, consider exploring

How App Store Reporting works
AdLibertas Cost.
Consolidated Reporting Overview.
Consolidated Reporting vs. Consolidated Inventory Reporting
user
absolute reports
absolute reports
user
relative
custom metrics.
analytics layout page