AI App Monetization Manager

Vasundhara Game Studio; Surat; On-site; INR 1,500,000 - 2,700,000; Full time

Job summary

Vasundhara Game Studio seeks an AI App Monetization Manager to drive revenue for mobile apps. You will analyze data from AdMob, RevenueCat and Play Console to uncover monetization opportunities and craft ad, IAP and pricing strategies.

The role requires optimizing eCPM, Show Rate, Fill Rate and ad formats, while coordinating with developers and product teams. Responsibilities include conducting pricing experiments, geo-based monetization, and monitoring key metrics such as DAU, ARPU, ARPDAU and

Qualifications

• Experience in mobile app monetization.
• Familiarity with ad networks and in-app purchase models.

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
• Set revenue targets and improve app profitability

Skills

Monetization strategy

Ad networks

Analytics metrics

Pricing strategy

Subscriptions optimization

AI data analysis

Ad placement optimization

Geo monetization

Job description

Your next big opportunity is just a click away.

Requirement for the 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


• 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


• eCPM, Revenue, ARPU, ARPDAU, Fill Rate, Match Rate, Show Rate & CTR Analysis


• Paywall & Pricing Strategy


• Subscription, Trial & One-Time Purchase Optimization


• AI Tools for Data Analysis & Insights


• Ad Placement & Frequency Optimization


• Country/Geo-based Monetization Optimization