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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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  1. The Platform
  2. Consolidated Revenue Reporting

Ad Network Re-Repost; Also: Revenue Reconciliation Accuracy

Ad Networks will often change numbers after the initial posting of data: known as re-posting reporting. While this can sometimes be good– your earnings increase after initial posting– it can also be negatively adjusted as well. Regardless it always caused revenue reconciliation issues with accounting when the recorded reporting doesn’t match the revenue paid to the publisher at the end of the month. To keep as up-to-date as possible we continually back-fetch data to keep as-accurate-as-possible reporting with the network’s latest posting. For this reason, we don’t recommend you rely on earnings until 15 days after the initial posting.

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Last updated 3 years ago