MolocoIn 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.
UnityThis article notes that Unity, its logos, and trademarks belong to Unity Technologies. Other brands are trademarks of their respective owners. It's a legal disclaimer found in advertising contexts.
MolocoIn-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.
MolocoThe 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.
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UnityTo avoid cannibalizing subscriptions, apps should prime users for ads, use user-initiated formats like rewarded videos, and segment users by region or device to target ads to low-conversion users.
AdjustA/B testing on Google Play and App Store optimizes app listings. Google tests icons, descriptions, graphics; Apple tests icons, screenshots, videos. Both improve conversion and retention but have limitations like single-variable focus and lack of post-install data. Adjust enhances analysis with attribution and analytics.
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