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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
  • The concept
  • Workflows for creating user reports
  • Exploratory User-Level Reporting walk-through
  • Creating Custom Dashboards from User-Level Reports
  1. The Platform

User-Level Audience Reporting

We collect user actions and earnings from the source. You get user behavioral insights and performance analytics.

PreviousHow it worksNextCreating Reports

Last updated 2 years ago

For information on getting data connected, see how you can

The concept

To best understand how user-level reporting works, consider the process as 2 distinct steps:

1. Define Audience outlines the characteristics, timeframe, and/or actions that define a group of users you'd like to isolate and measure. An example would be: users who installed last month, played over 10 games, and created an account.

2. Report Audience Performance allows you to measure and compare the performance of audiences over time. This could be over an entirely different timeframe, for example measuring this month's performance of users who installed last month.

Workflows for creating user reports

To make getting valuable information easy, we offer two methods to create user-level reports.

Exploratory User-Level Reporting walk-through

Both methods of creating reports will allow you to generate rich, interactive reports to explore user performance and behavior.

Below we walk-through our interactive user-level reporting.

Running Projections

Creating Custom Dashboards from User-Level Reports

Create New User Report This allows you to combine defining multiple audiences and report on their performance in a single step without the overhead of defining an audience, then reporting on the audience performance in a separate step. For instance, in a single step, you can choose a Firebase experiment over the last 30 days, then run a report that will return each variant over this timeframe. For more information see the article on .

Advanced Audience Builder + Advanced User Reports allows you to separate the steps of running reports enabling further refinement of user groups (audiences) by behavior and actions, then the ability to report on them over varying timeframes. For instance, you can define a group of users that have installed last month, played 10 games on their first day, then report on the performance of those users this month. For more information see and .

Determine visualized curve of best fit against your audience to determine future user pLTV. For more details see g

From any of the user-level reports, you can click "Explore More" to get into and start creating your own custom dashboards from your user-level reports.

Creating a New User Report
Forecastin
Business Analytics
Creating Advanced User-Level Reports
Advanced Audience Builder
integrate with 3 easy steps.
LTV Reporting for MoPub & Firebase | No SDK - AdLibertasAdLibertas
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Creating a "New User Report" is an easy one-step way to explore the behavior and performance of multiple groups of users. Advanced Audience Builder allows you more control on defining groups by action or exclusion.