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HomeThe PlatformBlogSchedule a demo
  • 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
  • Getting Started
  • Guides: How can it be used
  • Integrating your data
  1. Getting Started

Welcome to AdLibertas

AdLibertas is a data platform for mobile apps that collects, processes and stores your app’s data, giving users in your organization, flexible, easy-to-use interactive analytics.

NextHow it works

Last updated 2 years ago

Getting Started

Got 1.5 minutes? Check out a video overview of the platform:

TL;DR: AdLibertas collects all of your important app data and helps you answer questions about user behavior and track the performance of your business.

Interested in learning more on how the AdLibertas platform works? Check out details on our data pipeline and architecture in the section below.

Guides: How can it be used

See how some of our customers use AdLibertas to grow their apps:

Integrating your data

No SDK: Getting started only requires API credentials. Wherever we can leverage your existing technology stack, we connect via APIs to started quickly. You can stop anytime.

Combining and unifying the data generated by your users can be a complex undertaking. At AdLibertas we’ve built our business around providing easy, actionable access to complex data to mobile app developers. Our mission is simple: build the tools so you can focus on making better apps, not wrestling with data.

See how we connect with your data in 3 easy steps:

Looking to see how we can help your specific use case? Schedule a !

How it works
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Connecting in 3 steps
Case Study: Better onboarding increases retention, doubles user LTV -AdLibertas
See how the popular animation app Flipaclip analyzes customer onboarding performance
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Case Study: Using first day user-activity to predict LTV - AdLibertasAdLibertas
See how the creators of the smash-hit Flow Free uses first-day actions to find valuable users.
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Starting a live ops strategy - AdLibertasAdLibertas
Geoff Hladik, Head of Growth for Visual Blasters shares his story on how a simple AB test turned into creating dynamic app experiences to increase user engagement, retention, and LTV.
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Case Study: Using data to drive app design increases LTVs 10% - AdLibertasAdLibertas
Random Logic Games uses Firebase AB testing and AdLibertas Audience Reporting to test game mechanics and increases user LTVs 10% in a single AB test.
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