AI App Monetization Manager

Responsibilities:

• Analyze AdMob, RevenueCat and Play Console data for revenue opportunities
• Create and optimize ad, IAP and subscription strategies
• Optimize eCPM, Show Rate, Match Rate, Fill Rate and ad revenue
• Optimize ad formats, placements and frequency
• Manage pricing, paywall, subscription and A/B testing experiments
• Analyze revenue by country, platform, OS and user segments
• Monitor DAU, Retention, ARPU, ARPDAU, LTV and Conversion Rates
• Use AI tools for analysis, reporting and monetization insights
• Analyze competitors for pricing and monetization opportunities
• Work with Developers and Product Teams on monetization experiments
• Monitor SDKs, mediation performance and integration issues
• Continuously test analyze learn optimize
• Set revenue targets and improve app profitability

Skills Required:

• Mobile App Monetization Strategy
• AdMob, AppLovin, MAX, Meta Audience Network, Pangle, InMobi, Liftoff, Mintegral, Moloco and other ad networks
• Ad Mediation & Waterfall Optimization
• eCPM, Revenue, ARPU, ARPDAU, Fill Rate, Match Rate, Show Rate & CTR Analysis
• RevenueCat / In-App Purchase Monetization
• Paywall & Pricing Strategy
• Subscription, Trial & One-Time Purchase Optimization
• A/B Testing & Revenue Experiments
• AI Tools for Data Analysis & Insights
• Ad Placement & Frequency Optimization
• Country/Geo-based Monetization Optimization
• App Monetization Policy Knowledge

Disclaimer: This job posting & Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.