Resources
Methods for mobile growth decisions
Practical guides for joining creative delivery to business outcomes, diagnosing what changed, and making the next acquisition decision with evidence.
DECISION GUIDES
Methods for better mobile growth decisions.
A Cohort Report Finishes Two Days After Its Window
We replayed 58,587 readings of AppLovin cohort reporting. Every column reaches 99% of its settled value about two days after its window closes.
ExploreCohort Revenue Forecasting for Mobile Apps
Learn how mobile growth teams forecast cohort revenue, ROAS, and payback without confusing immature predictions with observed financial results.
ExploreWhat 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.
ExploreWhen 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.
ExploreAppLovin 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.
ExploreHalf of Creative Decline Flags Are Country Mix
We split 2,890 fortnight comparisons on AppLovin creative sets into the part the country weights moved and the part the creative moved. Half the flags vanish.
ExploreHow to Turn a Creative Finding Into a Testable Brief
Turn mobile ad performance evidence into a creative test brief with one claim, one controlled change, a decision metric, and honest result branches.
ExploreHow 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.
ExploreCreative 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.
ExploreMobile 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.
ExploreHow 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.
ExploreHow 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.
ExploreGrouping 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.
ExploreHow 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.
ExploreCreative-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.
ExploreA 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.
ExploreMobile 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.
ExploreAppLovin 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.
ExploreHow 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.
ExploreHow 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.
ExploreCreative 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.
ExploreMarketing 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.
ExploreNEXT STEP
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