INITIALIZING...
MONETIZATION ENGINE ........ OK
DEMAND ANALYSIS ............ OK
REVENUE MODEL .............. READY
LAB ACTIVE
LAB / REV-OPT
MONETIZATION ENGINE — READY
SCOPE: LIFESTYLE, DATING, GAMING
ML / 000 — Ad Monetization • AppLovin MAX • Mediation Optimization

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ad growthstrategyrevenueefficiency

I help mobile apps increase ad revenue by optimizing their monetization stack (AppLovin MAX, mediation, demand sources) — without increasing user acquisition.

Get a Free Monetization Review
10-minute survey • No commitment
01 / INTERSTITIAL
Full-Screen Interstitial
Frequency · Placement · Revenue Frequency control · Placement testing · eCPM optimization
02 / REWARDED
Opt-In Rewarded
Opt-in Rate · eCPM · Completion Opt-in rate tuning · eCPM optimization · Completion rate analysis
03 / NATIVE VIDEO
In-Feed Native Video
Placement · Engagement · Fill Rate Feed placement testing · Engagement optimization · Fill rate analysis
04 / BANNER
Display Banner
Refresh Rate · Viewability · Scale Refresh rate tuning · Viewability optimization · Scale testing

What I actually do

I identify inefficiencies in mobile app monetization systems and turn them into measurable revenue growth.

  • Ad stack optimization (AppLovin MAX, mediation systems)
  • Demand source optimization & competition
  • Revenue segmentation (geo, platform, cohorts)
  • Monetization testing (ITT, A/B experiments)
REV-SCAN / MODULE Ready
Start My Revenue Scan

Get a free monetization review of your app

GET A FREE MONETIZATION REVIEW
Experiment ResultsSYS.01

Outcome data from a recent mobile app monetization experiment. Results vary depending on app maturity, traffic quality and implementation.

CASE / 001 Complete

Recent Mobile App Monetization Project

iOS Android
Dating & Social Apps 2 consumer mobile apps • North America & Europe
ProjectDating & Social Apps — Monetization Optimization
PlatformsiOS · Android
RegionNorth America & Europe
Scope2 consumer mobile apps · Dating & Social
OptimizationInterstitial rollout, mediation tuning, demand competition
Outcome
+48%
Ad Revenue Growth
Increased advertising revenue through interstitial rollout, mediation optimization and improved demand competition while maintaining stable traffic.
+48%
eCPM Increase
Improved monetization efficiency by optimizing ad formats, demand sources and mediation performance.
+15pp
Fill Rate Improvement
Expanded demand competition, optimized bidding configuration and improved auction participation across the mediation stack.
Lead ResearcherSYS.00
ML / OPERATOR PROFILESUBJECT: DIEGO MERCADALSTATUS: ACTIVE
10+
years in ad monetization and mobile app revenue optimization.
Diego Mercadal

Diego MercadalMobile App Monetization Consultant

  • Specialization10+ years optimizing ad monetization across dating, social and lifestyle mobile apps.
  • BackgroundPublisher operations, affiliate monetization and mobile advertising ecosystems.
  • Technology StackAppLovin MAX, GAM, AdMob, mediation systems and demand optimization.
  • Performance FocuseCPM, Fill Rate, ARPU and demand performance.
  • MethodologyDistinguishing platform-level demand shifts from traffic quality issues while building diversified demand strategies.
  • Professional Profile Professional background View on LinkedIn
MethodologySYS.02

How it works

Complete the Revenue Diagnostic

Tell me about your app, your current setup and your goals.

I review your setup manually

I analyze your stack, your data, and your revenue structure.

Research Report

You receive a Research Report

Delivered within 24h — clear actions with prioritized revenue opportunities.

Optional: Optimization Protocol or ongoing support

We can go deeper with an optimization protocol or retainer.

4
Steps
100%
Precision
Opportunities
Research ProgramsSYS.03

Research Programs

01 Audit

Revenue Scan

Focused diagnosis of your ad stack and revenue leaks.

Revenue Scan

  • Ad stack review
  • eCPM & fill rate analysis
  • Revenue leak detection
  • Prioritized roadmap
02 Sprint

Optimization Protocol

Hands-on optimization of your monetization setup (AppLovin, mediation, demand sources).

Optimization Protocol

  • Mediation optimization
  • Waterfall & bidding tuning
  • Ad placement experiments
  • Performance monitoring
03 Ongoing

Revenue Advisory

Ongoing revenue optimization and testing strategy.

Revenue Advisory

  • Weekly recommendations
  • KPI monitoring
  • Experiment design
  • Strategic support
Lab accepting new projects

Revenue. Waiting.

Most mobile apps are under-monetizing their existing traffic. I help identify inefficiencies in ad monetization systems and turn them into measurable revenue growth.

GET A FREE MONETIZATION REVIEW
// Revenue Diagnostic takes 10 minutes — Research Report delivered in 24h