Methods for mobile growth decisions

Guides

• Creative tagging integrity protocol

  How to QA AI Creative Tags Before Performance Analysis

  An eight-gate protocol for auditing AI creative tags: reconcile every asset and field, expose coverage, migrate labels safely, and test accuracy.

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• Attribute evidence protocol

  Creative Attribute Analysis: Which Findings Are Real

  Count impressions and every creative tag comparison looks certain. Across 12,516 tagged creatives, 60% of those winners fail once you count creatives.

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• Creative analytics guide

  Mobile App Creative Analytics: A Decision Guide

  Learn how mobile UA teams connect creative spend to installs, purchases, revenue, and ROAS so they can scale winners and stop weak ads sooner.

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• Forecasting guide

  Cohort Revenue Forecasting for Mobile Apps

  Learn how mobile growth teams forecast cohort revenue, ROAS, and payback without confusing immature predictions with observed financial results.

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• Predicted ROAS decision guide

  How to Set a D7 ROAS Target From Mature Cohorts

  Set a D7 ROAS target from your app’s mature cohorts, payback deadline, revenue basis, and a leakage-safe backtest instead of borrowing a benchmark.

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• Early ROAS reliability

  What Waiting From D7 to D30 Actually Buys

  We ranked 524 network weeks and $8.8M of spend at every cohort age. Waiting from D7 to D30 moved the ranking 1.2 points on one app set and 9.3 on the other.

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• Revenue stream comparison

  When Ad Revenue, IAP, and Subscription LTV Become Final

  Ad revenue, in-app purchases, and subscriptions settle on three different clocks. What AdMob, MAX, LevelPlay, AppsFlyer, Google Play, and Apple document.

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• Forecast audit protocol

  How to Audit a Mobile App Cohort Forecast Backtest

  Test an LTV or revenue forecast for future leakage, misleading error averages, weak coverage, and unsafe budget decisions.

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• AppLovin reporting guide

  AppLovin Creative Reporting: From Assets to ROAS

  Understand what AppLovin reports at asset level, which outcome metrics need reconciliation, and how to create defensible creative ROAS decisions.

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• Creative reporting grain

  Grouping Creatives by Concept Does Not Fix the Ranking

  We ranked 18,948 AppLovin assets, then ranked the 8,251 creative sets they sit in, on the same days. Pooling left the D7 ROAS ranking where it was.

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• Creative test reliability

  How Much Spend a Creative Test Needs Before the Winner Holds

  We ranked 1,224 creatives twice inside the same fortnight. The cost-per-install winners held. The D7 ROAS winners landed in the middle.

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• iOS creative measurement

  Creative-Level ROAS on iOS: What Apple Actually Returns

  Apple returns the creative digits only in the first postback. Your day 7 and day 35 signal always comes back two digits wide, at campaign grain.

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• AI analytics workflow

  A Read-Only MCP Workflow for Creative Performance Analysis

  Use a scope-first MCP workflow to analyze creative performance, inspect statistical evidence, and turn a supported pattern into the next controlled test.

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• Attribution window comparison

  Mobile Attribution Windows: Click, View, Cohort, Postback

  Click windows, view-through windows, install cohorts, and SKAdNetwork postbacks are four different rules. What six ad platforms document, verified August 2026.

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• AppLovin creative testing

  AppLovin Creative Testing When the Engine Allocates Budget

  AppLovin decides which creative spends your money, then reports twelve delivery columns and no outcomes. What a creative comparison can and cannot prove.

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• Creative measurement protocol

  How to Audit Asset-Level Creative ROAS Before You Scale

  Audit asset-level creative ROAS for provenance, scope, cohort maturity, aggregation, and decision strength before scaling or pausing an ad.

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• Fatigue measurement protocol

  How to Measure Creative Fatigue from Performance Data

  A versioned protocol for measuring creative fatigue: guarded window comparisons, volume floors, a decay rule, and false-positive checks for mobile UA teams.

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• Attribute and fatigue guide

  Creative Fatigue Analysis for Mobile UA Teams

  Learn how to separate creative fatigue from audience, budget, and attribution effects, then turn the diagnosis into a controlled next test.

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• Reporting automation guide

  Marketing Analytics API and MCP Automation

  Learn how to expose trusted creative and cohort metrics to dashboards, scripts, and AI agents without creating another uncontrolled reporting layer.

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