Cafe24, Understanding Big Data Reveals Sales Insights

1.9 Million Shopping Malls-Based
Click-Through Rate and Cost Analysis
Providing Strategies to Enhance Efficiency

Various automated analysis tools of Cafe24 Marketing Center.

[Asia Economy Reporter Lim Chunhan] It is the era of 160 trillion won online shopping. Now, online business is no longer a choice but a necessity. Successful shopping malls that stand out in the rapidly expanding online market are emerging one after another. Their common point is that they cite 'big data' as the secret to their growth. We explore the big data marketing know-how of successful shopping malls.

On the 18th, as more shopping mall operators seek to systematically utilize big data, the Cafe24 Marketing Center is gaining attention. The Cafe24 Marketing Center has established a system that allows easy big data marketing even in online shopping malls. It provides systematic marketing solutions based on the vast big data of 1.9 million online shopping malls.

The feature of the Cafe24 Marketing Center is that it analyzes shopping mall data and advertising data simultaneously. Through shopping mall data, it conducts comparative analysis based on sales, visitors, average spending per customer, conversion rate, and membership registration rate. From advertising data, it analyzes click-through rates, cost per conversion, including the scale of advertisements, and reflects these in marketing to increase purchase conversion rates while reducing costs.

Cases of shopping malls succeeding with Cafe24 Marketing Center and big data advertising marketing continue to emerge. Fashion company A had no prior experience in e-commerce but was able to establish marketing strategies on when and what items to sell through big data. Currently, it generates more than 40% of its total sales online. Fashion apparel shopping mall B focused on the fact that the children's clothing market grew by 21% after COVID-19 through big data. Based on this data, they newly launched children's pajamas, driving sales growth. Women's fashion shopping mall C referred to big data showing that winter outerwear sells well during the relatively low-sales summer season and conducted off-season marketing, significantly increasing sales.

Lee Jihyun, team leader of the Cafe24 Marketing Center, said, "Big data is a barometer that informs highly efficient marketing strategies based on precise market analysis and an objective diagnosis of the shopping mall's condition."