In a fireside chat at 2024 White Nights in Cyprus, Hitapps' Senior Monetization Manager Alexandra Trifonova discussed their monetization strategy. Hitapps, founded in 2020, focuses on puzzle and word games, relying heavily on in-app advertising with rewarded and interstitial ads placed at natural pauses. They early adopted Moloco SDK, first as a custom network (waterfall) and later for bidding, achieving 5-15% ARPDAU uplift with impressive eCPMs.
Key challenges include adapting to privacy changes like ATT and Google's Privacy Sandbox, and loss of control in mediation. Hitapps addresses these by hybrid monetization, transparent demand partners, and constant experimentation. They evaluate partners based on demand quality, ease of integration, and confirmed ARPDAU uplift.
The company leverages its ad tech background (since 2017) to optimize performance, working with major advertisers like TikTok and Scopely. Moloco stood out due to consistent top performance among DSPs, leading to a direct partnership.
First-party data, collected directly from users with consent, is crucial for marketers due to privacy regulations limiting third-party data. It enables accurate personalization, compliance, and cost savings. Key steps include ethical collection, maintaining clean data, and using it internally for product/marketing optimization and externally via commerce media networks.
This guide helps app marketers select a Mobile Measurement Partner (MMP) by covering essential features like privacy-first measurement, unified attribution, fraud protection, and advanced analytics. It emphasizes choosing an MMP that integrates easily, scales with business growth, and provides reliable data for optimizing marketing ROI across teams.
The open internet presents unique challenges for performance advertising: fragmented identity, closed first-price auctions, and non-stationary supply. Moloco's CARA compound architecture tackles this with six integrated technical domains—Campaign Automation, Supply, Ad Recommendations, Bidding, Creative, and Signals—running on a unified ML infrastructure. Key insights for ad ops: the system continuously learns from every interaction, uses knowledge distillation to serve real-time predictions under 10ms latency, and validates improvements through rigorous live experiments. In 2025, 65 validated model updates reduced CPA by 17% and improved ROAS by 27%. The key takeaway: compound AI architectures that connect prediction, bidding, creative, and data can unlock measurable performance gains beyond walled gardens.
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In-app bidding is increasingly preferred over waterfall due to efficiency, with around 80% of publishers now using it. It reduces latency, manual work, and improves ARPDAU by enabling simultaneous bids from all buyers. ML models in platforms like Moloco optimize bids in real-time, while waterfalls allow manual pricing control but risk inefficiency and reduced advertiser interest.
The open internet offers incremental growth opportunities beyond walled gardens. Supply path optimization is complex, with intermediaries inflating costs. Moloco's in-app bidding SDK creates a direct publisher-marketer path, eliminating fees to improve ROI. It enhances ML predictions with high-quality signals, giving marketers better transparency and control over ad rendering for improved engagement.
Non-gaming apps can reduce CAC by advertising on gaming platforms, reaching 3.3 billion monthly players. Creative formats like playable and rewarded video ads boost conversions. Key challenges include identifying high-value users and allocating sufficient budget for algorithm optimization. Successful examples include Buddy AI and food delivery apps.
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