Amplify Seoul 2023, hosted by AppLovin at Park Hyatt Seoul, brought together approximately 80 game publishers from Japan, Korea, Pakistan, and the EU. The event focused on mobile ad monetization and user acquisition (UA) strategies. Jinseok Lee, Head of Business Development in Korea at AppLovin, highlighted current global eCPM trends and significant growth in T3 countries, signaling market expansion.
He showcased AppLovin's AXON 2 update, which uses AI-driven machine learning for more accurate and globally scalable UA via AppDiscovery. Masaya Murakami from KAYAC Inc. shared insights on hyper-casual game publishing, stressing the importance of brainstorming to keep teams engaged and the value of onsite production for versatile teams.
LoadComplete's COO Soo Jeong Bae chronicled the success of 'Legend of Slime,' which reached #2 highest-grossing in IOS Idle RPG category, attracting many questions. In a fireside chat, Popcore Games co-founders discussed trials with 'Pull the Pin' and 'Parking Jam,' advising to try various UA campaign types (ad-only, blended ROAS) to acquire diverse users and rejuvenate older titles. They emphasized testing different metrics for monetization strategies.
The event concluded with networking at The Timber House, featuring a gayageum performance.
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 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.
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.
Hybrid-casual games combine hyper-casual simplicity with midcore depth, appealing to diverse player motivations. They offer mobile marketers broader audience reach through authentic playable ads that highlight hybrid elements, improving user acquisition across multiple genres.
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.
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.
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.
One person built, shipped, and marketed a mobile game in 14 days using AI tools, achieving 5,563 installs at $0.39 eCPI on $2,200 spend. MCPs (Model Context Protocol) were critical for agentic workflows. The AI agent CLAW managed ad campaigns via AppsFlyer MCP and BigQuery. Data Locker streamed raw data for analysis. Key takeaway: vendors must offer MCPs for fast, agentic data access; measurement stack (Data Locker, ROI 360, Creative Optimization) is essential for solo teams; human+AI beats AI alone.
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