Beth Berger, VP & GM Americas at Moloco, discusses the critical role of mobile apps in driving brand growth, noting that consumers spend 88% of mobile time on apps, leading to up to 3x higher conversion rates. She emphasizes the need for marketers to look beyond walled gardens for incremental growth, leveraging AI and machine learning to find high-value users on the open internet. Moloco addresses concerns about user quality and fraud through real-time ML, partnerships with measurement platforms, and proactive inventory management.
Berger highlights the importance of human strategy alongside automation, including creative production, geographic expansion, and transparent reporting. She offers tips: enable personalization with AI, maintain control through data sharing and measurement, optimize for deeper funnel metrics like in-app purchases, and invest in partnerships that provide strategic guidance. The interview underscores how AI democratizes access to advanced targeting, but marketers must retain oversight to succeed in the evolving landscape.
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.
Preload campaigns are critical for UA in 2025, offering early brand presence, higher trust, and cost-efficient growth. Key benefits include increased visibility, engagement, and LTV. Practitioners should leverage advanced segmentation, automated recommendations, predictive analytics, extended attribution windows, and incrementality testing. Partnerships with OEMs and platforms like Appnext, Aura, AVOW, Digital Turbine, and InMobi can drive significant results, as seen with Magalu's 100k+ monthly installs and 4x ROAS.
Attribution connects user actions to marketing efforts, solving double counting in sports betting. MMPs provide unbiased data across channels, using last-touch attribution and attribution windows. CTV assists installs, and combining attribution with incrementality optimizes strategies.
Valentine's Day presents a strategic opportunity for app marketers to boost installs and engagement across categories. Despite a 13% YoY decline in dating app installs, sessions remain resilient, with longer session lengths (13.21 min) and improved ad efficiency (IPM up to 6.24). Key surges: restaurant booking app installs +156% on Feb 14, recipe app sessions +60% on Feb 12, music app installs +35% on Feb 10, and messaging sessions +31% on Valentine's Day. Actionable strategies include personalized push notifications, gamification, brand collaborations, and micro-influencer campaigns.
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.
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.
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