AppsFlyerWhere Do We Go From Here? At MAMA San Francisco 2026, Mobile & App Marketing Leaders Navigated What Comes Next
Summary
MAMA SF 2025's theme "Where Do We Go From Here?" addressed AI's disruption of consumer discovery and purchase. Keynote speaker Brian Quinn (AppsFlyer) framed apps as owned infrastructure with rich first-party data, making measurement integrity existential as AI agents autonomously reallocate budgets. Snap's Sam Mulinder introduced the Three E's (Execution, Experimentation, Evaluation), noting that teams combining multiple methodologies make smarter decisions.
AppsFlyer data shows 30% of campaigns undervalued by last-touch models, sometimes by 10x. KFC's Stephane Godoy demonstrated that total app value includes direct revenue, influenced revenue (2-4x direct), operational savings, and LTV lift. Moloco/BCG research revealed that a third of US adults discover brands via AI agents, 80% of AI-powered searches end without clicks, and 45% trust AI for purchases.
Bobby Sayers built a mobile game to ROI-positive in 14 days using AI tools, exemplifying friction removal. Atif Rafiq urged marketers to own end-to-end recommendations. Takeaways: apps are economic infrastructure (5-6x ROI when fully measured), measurement is competitive advantage, AI eliminates knowing-doing gaps, and marketers must design their career trajectory.
Analyst Note
This article signals a critical inflection point for mobile measurement. As AI agents begin autonomously reallocating budgets, the integrity of attribution models becomes existential—yet last-touch still undervalues 30% of campaigns by up to 10x. For UA and monetization teams, the key implication is that incremental measurement adoption is no longer optional but a competitive necessity.
The emphasis on total app value (direct revenue + influenced revenue + operational savings + LTV lift) challenges the narrow ROI frameworks most ad ops teams rely on. Meanwhile, the proliferation of LLM interfaces and AI-driven discovery is fragmenting consumer attention further, making first-party app data the only reliable signal. The practical impact for ad ops is clear: teams must evolve from channel-specific optimization to cross-surface capital allocation, using tools like MMM, incrementality tests, and multi-touch attribution in concert.
The trend toward 'AI that removes friction' (e.g., natural language queries replacing SQL, autonomous campaign checks) also implies that operational efficiency will separate leaders from laggards. For monetization teams, the finding that same creative drives 3x lift differences across networks underscores the need for network-specific creative optimization, not one-size-fits-all strategies.
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