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  • Getting Started
    • Welcome to AdLibertas
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      • Creating Reports
        • Creating a New User Report
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        • 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
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      • Advanced Reporting Methods
        • User Measurement & Calculation Details
        • Date Ranges: Define Audience vs. Create Report
        • Exclude GAID tracking opt-outs
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        • 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
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      • Custom Dashboard Filters
      • Combining data into a single chart
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      • Deprecated: Line Item Change Log
    • General
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  • 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
  • Daily Totals
  • Per User Reports
  • Cumulative Totals
  1. The Platform
  2. User-Level Audience Reporting
  3. Report Layout

Daily Totals, Per User, Cumulative Totals

PreviousChart Type Module: Absolute vs. Relative ReportsNextLifecycle Reports

Last updated 3 years ago

Daily Totals

For absolute reports, daily totals show the sum of all events/metrics for all active users on a time series

For relative reports, daily totals sum the total events/metrics on the nth day of user history the audience users who've installed during the specified timeframe

Per User Reports

For absolute reports, per user divides the daily totals against the number of active users on a given date.

For relative reports, per user divides the total events on the n-th day of lifetime.

Cumulative Totals

An interesting example of absolute (left) and relative (right) reports for daily active users. On the left each audience is defined as having ibeen nstalled within a given month. You can see the spikes of active users through the month, then the valley as they slowly churn. On the right, you can see the activitiy user total users as they age. The newest (goldenrod) actually falls to zero as this report was built before that audience had a chance to completely mature.
Above (left) we have a daily CPM on a per-user basis. Right, shows CPM per user over the lifetime of a user's lifetime.