---
title: "Mobile Growth Resources | Lemon AI"
description: "Evidence-led guides for mobile app and game UA teams working on creative analytics, AppLovin reporting, fatigue, cohort forecasting, APIs, and MCP."
canonical: "https://lemon-ai.com/resources"
markdown_url: "https://lemon-ai.com/resources.md"
language: "en"
image: "https://lemon-ai.com/og/resources.png"
image_alt: "Mobile growth signals converging into an evidence-led acquisition decision."
schema_types: ["BreadcrumbList","Organization","WebPage","WebSite"]
---

# Methods for mobile growth decisions

Resources

Practical guides for joining creative delivery to business outcomes, diagnosing what changed, and making the next acquisition decision with evidence. 

**Written for**

Mobile app and game UA, creative, analytics, and growth teams.

## Guides

- Creative tagging integrity protocol  
## [How to QA AI Creative Tags Before Performance Analysis](https://lemon-ai.com/resources/ai-creative-tagging-qa)  
An eight-gate protocol for auditing AI creative tags: reconcile every asset and field, expose coverage, migrate labels safely, and test accuracy.  
[Read the guide →](https://lemon-ai.com/resources/ai-creative-tagging-qa)
- Attribute evidence protocol  
## [Creative Attribute Analysis: Which Findings Are Real](https://lemon-ai.com/resources/creative-attribute-analysis)  
Count impressions and every creative tag comparison looks certain. Across 12,516 tagged creatives, 60% of those winners fail once you count creatives.  
[Read the guide →](https://lemon-ai.com/resources/creative-attribute-analysis)
- Creative analytics guide  
## [Mobile App Creative Analytics: A Decision Guide](https://lemon-ai.com/resources/mobile-app-creative-analytics)  
Learn how mobile UA teams connect creative spend to installs, purchases, revenue, and ROAS so they can scale winners and stop weak ads sooner.  
[Read the guide →](https://lemon-ai.com/resources/mobile-app-creative-analytics)
- Forecasting guide  
## [Cohort Revenue Forecasting for Mobile Apps](https://lemon-ai.com/resources/cohort-revenue-forecasting)  
Learn how mobile growth teams forecast cohort revenue, ROAS, and payback without confusing immature predictions with observed financial results.  
[Read the guide →](https://lemon-ai.com/resources/cohort-revenue-forecasting)
- Predicted ROAS decision guide  
## [How to Set a D7 ROAS Target From Mature Cohorts](https://lemon-ai.com/resources/d7-roas-target)  
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.  
[Read the guide →](https://lemon-ai.com/resources/d7-roas-target)
- Early ROAS reliability  
## [What Waiting From D7 to D30 Actually Buys](https://lemon-ai.com/resources/d7-vs-d30-roas-decision)  
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.  
[Read the guide →](https://lemon-ai.com/resources/d7-vs-d30-roas-decision)
- Revenue stream comparison  
## [When Ad Revenue, IAP, and Subscription LTV Become Final](https://lemon-ai.com/resources/ltv-forecasting-by-revenue-model)  
Ad revenue, in-app purchases, and subscriptions settle on three different clocks. What AdMob, MAX, LevelPlay, AppsFlyer, Google Play, and Apple document.  
[Read the guide →](https://lemon-ai.com/resources/ltv-forecasting-by-revenue-model)
- Forecast audit protocol  
## [How to Audit a Mobile App Cohort Forecast Backtest](https://lemon-ai.com/resources/mobile-app-cohort-forecast-backtest)  
Test an LTV or revenue forecast for future leakage, misleading error averages, weak coverage, and unsafe budget decisions.  
[Read the guide →](https://lemon-ai.com/resources/mobile-app-cohort-forecast-backtest)
- AppLovin reporting guide  
## [AppLovin Creative Reporting: From Assets to ROAS](https://lemon-ai.com/resources/applovin-creative-reporting)  
Understand what AppLovin reports at asset level, which outcome metrics need reconciliation, and how to create defensible creative ROAS decisions.  
[Read the guide →](https://lemon-ai.com/resources/applovin-creative-reporting)
- Creative reporting grain  
## [Grouping Creatives by Concept Does Not Fix the Ranking](https://lemon-ai.com/resources/concept-level-creative-analysis)  
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.  
[Read the guide →](https://lemon-ai.com/resources/concept-level-creative-analysis)
- Creative test reliability  
## [How Much Spend a Creative Test Needs Before the Winner Holds](https://lemon-ai.com/resources/creative-test-spend-threshold)  
We ranked 1,224 creatives twice inside the same fortnight. The cost-per-install winners held. The D7 ROAS winners landed in the middle.  
[Read the guide →](https://lemon-ai.com/resources/creative-test-spend-threshold)
- iOS creative measurement  
## [Creative-Level ROAS on iOS: What Apple Actually Returns](https://lemon-ai.com/resources/ios-creative-level-measurement)  
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.  
[Read the guide →](https://lemon-ai.com/resources/ios-creative-level-measurement)
- AI analytics workflow  
## [A Read-Only MCP Workflow for Creative Performance Analysis](https://lemon-ai.com/resources/mcp-creative-performance-workflow)  
Use a scope-first MCP workflow to analyze creative performance, inspect statistical evidence, and turn a supported pattern into the next controlled test.  
[Read the guide →](https://lemon-ai.com/resources/mcp-creative-performance-workflow)
- Attribution window comparison  
## [Mobile Attribution Windows: Click, View, Cohort, Postback](https://lemon-ai.com/resources/ad-network-attribution-windows)  
Click windows, view-through windows, install cohorts, and SKAdNetwork postbacks are four different rules. What six ad platforms document, verified August 2026.  
[Read the guide →](https://lemon-ai.com/resources/ad-network-attribution-windows)
- AppLovin creative testing  
## [AppLovin Creative Testing When the Engine Allocates Budget](https://lemon-ai.com/resources/applovin-axon-creative-testing)  
AppLovin decides which creative spends your money, then reports twelve delivery columns and no outcomes. What a creative comparison can and cannot prove.  
[Read the guide →](https://lemon-ai.com/resources/applovin-axon-creative-testing)
- Creative measurement protocol  
## [How to Audit Asset-Level Creative ROAS Before You Scale](https://lemon-ai.com/resources/asset-level-creative-roas)  
Audit asset-level creative ROAS for provenance, scope, cohort maturity, aggregation, and decision strength before scaling or pausing an ad.  
[Read the guide →](https://lemon-ai.com/resources/asset-level-creative-roas)
- Fatigue measurement protocol  
## [How to Measure Creative Fatigue from Performance Data](https://lemon-ai.com/resources/creative-fatigue-measurement)  
A versioned protocol for measuring creative fatigue: guarded window comparisons, volume floors, a decay rule, and false-positive checks for mobile UA teams.  
[Read the guide →](https://lemon-ai.com/resources/creative-fatigue-measurement)
- Attribute and fatigue guide  
## [Creative Fatigue Analysis for Mobile UA Teams](https://lemon-ai.com/resources/creative-fatigue-analysis)  
Learn how to separate creative fatigue from audience, budget, and attribution effects, then turn the diagnosis into a controlled next test.  
[Read the guide →](https://lemon-ai.com/resources/creative-fatigue-analysis)
- Reporting automation guide  
## [Marketing Analytics API and MCP Automation](https://lemon-ai.com/resources/marketing-analytics-api-mcp)  
Learn how to expose trusted creative and cohort metrics to dashboards, scripts, and AI agents without creating another uncontrolled reporting layer.  
[Read the guide →](https://lemon-ai.com/resources/marketing-analytics-api-mcp)

How the numbers are built

## Read the methodology behind the product

Source grain, reconciliation, attribution, ratio aggregation, prediction, backtesting, and limitations are documented in one inspectable reference. 

[Read the methodology →](https://lemon-ai.com/methodology)

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