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

📌 AI App Monetization Manager (India)
🏢 Vasundhara Infotech
📍 India