Case Study: Kolon Mall exceeds ROAS goal with Moloco Dynamic Product Ads

Kolon Mall exceeds ROAS goal by 28% with Moloco

Kolon Mall, a leading fashion platform in Korea, aimed to build a competitive advantage through a personalized shopping experience and needed to maximize revenue in a crowded e-commerce market. Their diverse product portfolio, with many items having short replacement cycles, required a way to make tailored recommendations and diversify purchases. They partnered with Moloco, utilizing its Cloud DSP and Dynamic Product Ad (DPA) solution.

Moloco implemented its advanced machine learning models to create hyper-personalized product ads, automatically matching users with products based on their in-app activity. The solution optimized bidding on premium inventory and, with agency partner Madup, employed targeted strategies like cohort ROAS analysis. As a result, Kolon Mall exceeded its target return on ad spend by 28%, achieved its KPI within two weeks, and saw a more than 5x increase in both purchase volume and amount per user.

Kolon Mall