How AIMED Approaches UA
All campaigns are executed on top of long-term payback models and hypothesis-based experiments. Based on user flow and LTV structure, we directly design investment-type UA that looks toward the next stage of growth even if it means accepting losses.
We directly operate the cycle of experiment analysis reflection. Validated hypotheses are scaled into campaigns targeting hundreds of thousands of users globally.
Our goal is UA at a level that goes beyond being the best in Korea.
AIMED's Career Impact
A senior on AIMED's UA team is the person who determines the team's direction and speed. They comprehensively design country, channel, and budget strategies for one or more core titles, and lead the full cycle from hypothesis building experiment design execution data interpretation scale-up.
Designer of prediction-based aggressive investment UA: Based on conviction in the D0 > D7 > D30 > D180 RPD curve, you reverse-calculate the allowable loss threshold by payback period, and design investment-type UA that maximizes scale while intentionally lowering ROAS within those boundaries. You lead advanced techniques not yet attempted in the Korean market, such as postback hacking (algorithm optimization) and high-value user targeting based on leading indicators.
Strategist beyond campaigns: Amid the trend of campaign operation automation, you directly involve yourself in game operation strategy and business strategy based on UA insights. You expand the strategic scope of UA - from SLG server open strategy (setting standards for optimal users per server, DAU, guild activation count, etc.), to country mix strategy (combining high-spending countries + low-cost active user countries), to finding the sweet spot for maximizing ROAS/ROI per server.
Leader who raises the team's level: Based on UA insights, you discuss strategy together with the development team and data/creative divisions, and lead the experiment design and methods of junior and mid-level members. You advance the team's knowledge base and design/operate a systematic know-how accumulation system that ultimately connects to AI learning.
Primary Responsibilities
- AIMED's UA team handles global UA for in-house games (SLG, puzzle) and games from subsidiary 'Gameberry Studio' (casual/idle).
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Overall UA & Growth strategy management per project
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Setting long-term and short-term KPIs and establishing UA execution plans to achieve targets
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RPD curve-based payback model design, reverse-calculating allowable loss thresholds, and overseeing prediction-based aggressive scale-up strategy
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Design and leading of advanced UA techniques such as postback optimization, discovery of leading indicators, and media algorithm utilization
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Diagnosing the overall Acquisition-Retention-Monetization funnel and presenting direction for improvement
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Establishing and advancing tracking, data, and operational strategies to respond to the changing ad tech environment (SKAN, Privacy Sandbox, etc.)
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Analyzing global market trends to derive growth strategies and response plans
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Design, operation, and advancement of the team's knowledge base (including connection to AI learning)
Requirements
- 7+ years of relevant experience, with experience designing and operating UA campaigns based on LTV
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Someone who has proactively experienced the full cycle of performance marketing from development launch live operation
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Someone with deep understanding of the global game market and ad tech
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Someone with experience analyzing campaign results based on data and optimizing them
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Someone who has achieved performance improvement through repeated experiments such as A/B testing, creative improvement, and target adjustments
Nice-to-Haves
- Someone capable of data analysis using SQL and Python
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Someone with experience leading cross-functional organizations (UA, creative, data analysis, etc.)
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Someone with experience in data tracking/pipeline advancement and workflow automation
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Someone who has designed and applied advanced UA techniques such as postback optimization and algorithm tuning in practice
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Someone with experience building team-level knowledge management systems or processes
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Someone capable of English communication
