AppLovin successfully held its first-ever event in Dubai, connecting with over 20 game publishers from Pakistan. The summit featured a keynote by Boram Ku, Head of APAC Business Development, who shared product updates and success stories of partners achieving exponential growth in Average Revenue Per Daily Active User (ARPDAU) and revenue through AppLovin's data-driven approach. In a competitive market with 3.5 million apps, staying profitable requires balancing growth, user retention, and cost management.
Sze-ling Tay introduced MAX, AppLovin's mediation platform that enables developers to join competitive in-app ad auctions, maximizing ad revenue. By being a direct supply source to the AppLovin Exchange, inventory is offered at scale from 100+ premium DSPs, filling more ad space and unlocking better monetization. Tay also discussed creative strategies and best practices for different ad types, addressing common questions about networks and AppDiscovery.
AppDiscovery helps publishers automate and launch mobile user acquisition campaigns efficiently. The event concluded with gratitude to attendees and anticipation for future connections, encouraging marketers to stay innovative and engaged with AppLovin.
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 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.
Mobile game studios are expanding to PC and console platforms to boost revenue and reach new audiences. This shift is driven by higher ARPU on consoles, privacy regulations, and market saturation on mobile. Cross-platform measurement solutions are essential for tracking user flows and optimizing performance marketing across devices.
Amplify Shanghai emphasized AI-driven ad optimization, eCPM growth, and CTV potential. Panelists highlighted data-driven strategies for monetization and user acquisition. Key takeaways: use AI for targeting, diversify focus across tiers, and leverage MAX platform's segmentation for higher ARPDAU.
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 is offering new advertisers up to $6,000 in ad credits through a tiered spend incentive ($100/$500/$1500) that includes 1-to-1 expert support at the top tier. However, eligibility is restricted to new SMB self-serve accounts, and credits expire. Alongside the offer, TikTok has rolled out several ad tech innovations—Symphony AI creative suite, Streaming Ads, Agentic Hub, Market Scope, and new MMM data—that provide actionable opportunities for testing and scaling performance. Ad ops teams should review eligibility criteria carefully and consider leveraging these tools to maximize ROI during the promotional window.
AppLovin leverages AI to automate ad targeting, bidding, and optimization, replacing manual operations. Advertisers like Peak Games and DealDash see substantial ROAS growth and doubled volume. Features include greater automation, increased accuracy, improved campaign effectiveness, agile learning, and global expansion, reducing optimization time from weeks to days.
Sensor Tower's Power User data measures days used per month, revealing app stickiness. The metric shows crypto apps' declining engagement, Netflix's SVOD loyalty, Duolingo's growing stickiness, and Instagram's daily dominance, offering insights into user behavior and monetization.
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