Ad Revenue Optimization Expert

24 hours ago

Bengaluru, Karnataka, India beBeeMonetization Full time ₹ 90,00,000 - ₹ 1,80,00,000

Monetization Specialist

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We're seeking a seasoned monetization expert to spearhead our ad revenue engine. Your mission will be to optimize eCPMs, manage ad mediation layers, boost fill rates, and maximize ARPDAU across our high-engagement user base. You'll collaborate cross-functionally to ensure monetization enhances the user experience without disruption.

">Key Responsibilities:">
  • Manage and Optimize Ad Mediation Platforms: Ensure seamless integrations with ad networks, including AdMob, AppLovin MAX, Unity Ads, and ironSource.
  • Define Ad Placement Strategies: Balance user engagement and revenue through data-driven approaches.
  • Monitor and Optimize Key Metrics: Track eCPMs, fill rates, impressions, ARPDAU, and LTV across geographies and segments.
  • Run A/B Tests: Evaluate new ad placements, formats (rewarded, interstitial, native), and bidding strategies.
  • Cross-Functional Collaboration: Work closely with Product, Tech, and Design teams for non-intrusive ad integrations.
  • Develop Performance Dashboards: Create insights into ad performance and campaign metrics.
  • Stay Up-to-Date with Industry Trends: Engage with emerging networks, tools, and best practices in ad-tech.
  • Engage with Ad Network Partners: Optimize accounts and drive demand growth.
  • Inform Monetization Strategy: Drive revenue forecasting and strategic planning.
">Your Background">
  • 3-6 Years of Experience: In mobile ad monetization, preferably in casual games, RMG, or reward apps.
  • Deep Understanding of Ad Mediation: Familiarity with programmatic bidding, eCPMs, and fill rates.
  • Hands-On Experience with Ad Networks: Proven expertise with AdMob, AppLovin MAX, Unity Ads, ironSource, Chartboost, and more.
  • Strong Analytical Mindset: Proficiency in Excel, Looker, Firebase, GA, Amplitude, and other analytics tools.
  • Excellent Communication Skills: Ability to collaborate effectively across functions.
  • Data-Driven Approach: Focus on aligning revenue goals with product experience.

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