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.
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.
AppsFlyer MCP connects Claude to live attribution data, eliminating CSV exports. Gaming, finance, and e-commerce teams use it to automate reporting, catch budget anomalies, and answer performance questions in real time, transforming workflows in under 60 seconds.
AdjustMobile app marketing in 2025 focuses on AI maturity, consumer-driven data control, alternative app stores, M&A growth, and ML models for privacy-compliant measurement.
AdjustNext-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.
UnityUnity trademarks are owned by Unity Technologies. Other names and brands are trademarks of their respective owners. This notice clarifies trademark rights in advertising.
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.
The 2026 Finance & Crypto App Performance Benchmark reveals a 47% increase in UA spend and 2.15x re-engagement spend in ...
Three trends for 2026: social features as retention drivers, advanced mechanics like streaks and collections, and AI as ...
Structured experimentation in performance marketing requires clear hypotheses, controlled tests, and validated outcomes ...
Structured preparation and real-time optimization enable advertisers to scale aggressively during major events like the ...
Learna and Pengu succeed by applying proven engagement mechanics to new contexts. Learna uses streaks for AI tutoring; P...
Prediction market apps blend finance, social, and gamification to drive engagement. Leaders like Kalshi and Polymarket u...