AppLovin's Amplify event in Shanghai covered key trends for mobile marketers. Daniel Tchernahovsky opened noting tech upgrades boosting ad efficacy. Ada Hang highlighted rising eCPM trends and urged developers to use AppDiscovery's AI for multi-tier focus and the MAX platform's segmentation to increase ARPDAU.
A panel with Mattel163, Yodo1, Triwin, and Guru Games praised MAX's data capabilities for efficient monetization. Lea Gao discussed AI transformations for consumption growth, offering strategies like stable user base maintenance and precise targeting for cost savings. Alan Xie showcased CTV advertising's untapped potential with case studies, emphasizing multi-device penetration.
GOAT Games' Alexander Cherpak shared strategies for navigating iOS changes and maximizing LTV. Jaden Cheng from SparkLabs highlighted creative ad production using a three-pronged approach: market understanding, efficient testing, and generative AI. APUS's Luo Juan stressed trust and collaboration in their successful partnership.
Core advice: adopt data-driven, iterative testing; embrace AI and CTV for growth; diversify monetization across IAA and IAP.
Marketing attribution identifies which channels drive conversions, helping allocate budgets effectively. It uses models like single-touch (first/last click) or multi-touch (linear, time-decay) to assign credit across customer journeys. Challenges include privacy changes and tracking difficulties, but solutions like MMPs and AI can help optimize campaigns.
Amplify SF 2023 focused on AI advancements in ad tech. AppDiscovery's AI tackles slow learning, expensive testing, and scaling issues. Key advice: set realistic goals, expand geo coverage, remove caps, use open budgets, and try multi-campaign types. AI-driven creatives from SparkLabs boost output and efficiency. Scopely's Monopoly GO! success highlights social features and data-driven UA.
India's mobile app market hit record revenue of $345M in Q2 2026, with non-gaming up 50% YoY. For ad ops, key opportunities lie in short drama apps (Story TV tripled ad spend), AI subscriptions, and ad-supported games like arrow puzzles, which generate over 11% of global ad revenue from India. Gaming revenue grew 10% YoY, outperforming global decline. Hypercasual game ad revenue rose 180% QoQ. India is transitioning from an acquisition market to a monetization powerhouse, offering scalable ad inventory across entertainment, local commerce, and casual gaming.
TikTok For Business is courting new advertisers with a tiered credit promotion: spend $100/$500/$1,500 and receive equivalent ad credits, with the top tier adding 1:1 expert support. For ad ops decision-makers, the surrounding content underscores a strategic shift: marketers should embrace marketing mix modeling (MMM) rather than last-touch ROAS, leverage full-funnel AI automation, and use seasonal/industry playbooks (beauty, fashion, sports) to align creative with intent. Key takeaway: combine offer-based trial with longer-horizon measurement and structured content planning to maximize TikTok ad efficiency.
Subscription apps like Netflix and Spotify charge recurring fees for premium features. They offer predictable revenue, higher user loyalty, and better App Store rankings. Key models include flat-rate, tiered, and per-user pricing. Success requires value-driven pricing, free trials, and transparent practices.
Marketing attribution is critical for connecting spend to revenue, but platform self-reporting and last-click bias distort budget decisions. Single-touch models (first/last-click) are simple but miss the full journey; multi-touch models (position-based, data-driven) are more accurate but require robust data. Mobile attribution is particularly challenging due to ATT, SKAdNetwork, and cross-platform gaps, necessitating a mobile measurement partner (MMP) for independent, deduplicated measurement. Clean attribution data is essential for AI-driven optimization—bad signals lead to bad decisions. Starting with position-based attribution and incrementality testing provides a practical foundation.
Resonance, defined as attention times engagement, is key for ad effectiveness. Short, creative ads on TikTok achieve high impact early, with 50% effect in 2 seconds and 90% ad recall in 6 seconds.
The open internet presents unique challenges for performance advertising: fragmented identity, closed first-price auctions, and non-stationary supply. Moloco's CARA compound architecture tackles this with six integrated technical domains—Campaign Automation, Supply, Ad Recommendations, Bidding, Creative, and Signals—running on a unified ML infrastructure. Key insights for ad ops: the system continuously learns from every interaction, uses knowledge distillation to serve real-time predictions under 10ms latency, and validates improvements through rigorous live experiments. In 2025, 65 validated model updates reduced CPA by 17% and improved ROAS by 27%. The key takeaway: compound AI architectures that connect prediction, bidding, creative, and data can unlock measurable performance gains beyond walled gardens.
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