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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
  • Consolidate & Unify all App Earnings
  • Analyze your Revenue & Answer Questions
  • Build Custom Dashboards
  • Earn more money from in-app advertising.
  • Learn the best place to set your price floors
  1. FAQs
  2. Reporting

How do customers use AdLibertas?

Related: What is AdLibertas? :: Getting started with AdLibertas

PreviousWhat is “non_mopub” revenueNextPrivacy & Security Details

Last updated 2 years ago

AdLibertas provides tools to help track ad revenue in apps and handles full-service optimization for in-app ads. Our customers rely on us for a number of use-cases, some of the more popular we’ve outlined below:

Analyze user-revenue performance.

Our revolutionary Audience Reporting product allows app developers to define and measure the revenue performance of the user-group.

Watch a brief demo on how it works below:

Measure user-acquisition campaign performance

Fast, easy, and accurate predicted earnings for your UA campaigns. One-touch integration. Automated pLTV outputs, skip the hassle.

Consolidate & Unify all App Earnings

We have over 100 API connections to automatically pull and normalize your in-app earnings– app purchases, subscriptions, and advertising– into a single place.

Analyze your Revenue & Answer Questions

We supply a rich set of analytics tools for your to-do deep dives on your data to determine new opportunities and discover problems.

Build Custom Dashboards

A lot of our customers want to build custom views of their data, so they can monitor or share custom views of ad traffic or earnings reports.

Earn more money from in-app advertising.

Learn the best place to set your price floors

Our powerful revenue distribution chart can help you set the right floors for your inventory. This one-of-a-kind visualization is very powerful tool for helping your ad strategy.

You can see more about how the Revenue Distribution Chart works below:

on how it works

or a demo on

See how Taptalk i.

See how Narwhal for Reddit .

See more details on our website
how it works
ncreased earnings 75% with AdLibertas
doubled revenue in a week
See a demo
See a demo on how it works.