Case Study: Musinsa boosts app revenue 132x and ROAS +260% with Appier's AI full-funnel solution

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Preview of the Musinsa Case Study

Musinsa - Customer Case Study

Musinsa, Korea’s largest online fashion platform that grew from a 2001 fashion blog into a marketplace for more than 5,000 brands (and its own PB line, Musinsa Standard), needed to expand marketing beyond web to app channels. With limited internal resources and manual, experience-based segmentation causing inefficiencies, the company sought a partner with full-funnel engagement capabilities and AI-driven targeting to boost conversions and ROAS.

Appier provided AI-powered full-funnel advertising: automated audience segmentation (over one million segments), predictive machine-learning to identify high-value buyers, and dynamic product recommendations for personalized ads and feeds. The solution drove dramatic results — app revenue grew 132×, ROAS rose 260%, CPA fell 50%, and retention improved by 40%.


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