Providing Customized Sizes Based on Customer Data
Enhancing Personalized Services and Strengthening Platform Competitiveness
LF's lifestyle specialty mall, LF Mall, announced on the 17th that it has added new features to the 'Product Detail' page.
The newly revamped sections on the page are the 'Size' tab and the 'Review' tab. The Size tab was newly established to enable more precise purchase decisions by cross-analyzing product and customer big data when selecting sizes. It provides customized size information by combining the user's body information with other customer data, and also shows recent purchase history along with personalized size recommendations for easy comparison.
The 'Review' tab has been enhanced to improve user convenience by redesigning the user interface and experience (UI/UX) and strengthening filter functions. The layout has shifted to focus on video and image reviews for more intuitive purchase decisions, and filters have been advanced to allow searches not only by product options (color, size, etc.) but also by personalized criteria (body type, satisfaction level, etc.).
According to LF Mall data, dissatisfaction with size accounts for the largest portion of return and exchange reasons. Through this revamp, LF expects an increase in customer purchase conversion rates and a decrease in return rates.
Recently, the membership registration page was improved to be optimized for mobile devices. The number of required input fields during the registration process was simplified from five to three, greatly enhancing initial accessibility for customers. As a result, since the mid-November revamp, the number of mobile sign-ups has increased by about 10%.
So far, LF Mall has been carefully checking customer inconveniences and focusing on strengthening the functional competitiveness of each process. The user environment of the product detail page has also been continuously revamped through the expansion of personalized recommendation areas. An LF Mall representative said, “To help customers make quick purchase decisions, it is important for the platform to precisely connect product information with customer behavior data,” adding, “Next year, we plan to further enhance personalized product recommendations to strengthen platform competitiveness.”
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