Liftoff has launched Cortex, a next-generation machine learning platform that leverages neural network technology to analyze larger datasets, improving decision-making and ROI for advertisers. Key advancements include processing 10x more training data, enabling 10x faster experimentation cycles, and achieving 6x faster model training. This results in more accurate predictions, quicker product releases, and better adaptation to market changes.
Partners like Playlinks and Bigo Live report improved ROAS, lower CPI, and higher user retention. Cortex is now widely used by Liftoff advertisers, with further innovations like SKAdNetwork models planned for late 2024.
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.
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.
AppsFlyer MCP connects Claude directly to live attribution data, replacing manual reporting and CSV exports. Gaming teams catch budget anomalies overnight, finance teams compress multi-hour analysis into minutes, and e-commerce teams close the gap between measurement and spend decisions. Setup takes under 60 seconds, enabling real-time queries on channels, cohorts, and ROAS. The key insight is that AI-powered analysis requires live data connections, not stale exports.
The article outlines five key mobile app market predictions for 2025, emphasizing AI/ML maturation, consumer-driven data control, the limitations of GenAI for measurement, growth of alternative app stores, and increased M&A activity. Ad ops decision-makers should prepare for scaled AI adoption, adopt multiple measurement frameworks to navigate privacy regulations, leverage ML models for privacy-compliant insights, explore emerging app distribution channels, and consider strategic acquisitions for market expansion.
Next-gen campaign optimization combines attribution, incrementality testing, and MMM for holistic insights. AI-driven tools like pLTV and deep linking automate analysis, reduce waste, and improve ROI. This scalable, privacy-compliant approach future-proofs marketing success.
Data collaboration platforms are consolidating under ad-centric owners, threatening measurement neutrality. Publicis bought LiveRamp, WPP acquired InfoSum, and LiveRamp absorbed Habu, leaving AppsFlyer as the only major independent player. Brands must vet partners for conflicts: does the platform or its parent benefit from ad spend? Without independence, budget allocation and ROAS calculations may reflect agency incentives over actual performance. Key questions: revenue from ads, cross-channel attribution consistency, data governance, and auditable methodology.
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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