About The Client

The client is a world-renowned car manufacturer that has been in operation since 1967. Based in South Korea, the company has a large global workforce of approximately 75,000 employees and is able to reach a wide customer base, with its vehicles being sold in a total of 193 countries around the world.

The client is known for producing high-quality vehicles that are reliable and efficient, with a range of options available to meet the diverse needs and preferences of car buyers.

Implemented Solution

The client faced a number of significant challenges in their business, including the need to digitize customer traffic, accurately count and analyze foot traffic, determine the gender ratio of customers, and improve the standard operating procedures for their stores.

In order to better understand customer behavior and preferences, the client also wanted to determine which car models were the most popular and received the most attention and test drive requests. Additionally, the client sought to gain more accurate insights into the needs and wants of their customers in order to better serve them and improve their overall shopping experience. To address these challenges, the client implemented a variety of data-driven solutions and strategies to collect, analyze, and act on customer data. By doing so, they were able to improve their operations and better meet the needs of their customers.

Key Results

To help the sales team identify potential buyers, an algorithm was customized to analyze store visits. The data collected included pass-by traffic (18,921), entry traffic (411), entry rate (2.2%), dwell time duration (12.2 minutes), and car open time (2,116). By analyzing this data, the sales team was able to gain valuable insights into customer behavior and identify potential leads for follow-up.