A store manager named Kiki of a fast-moving consumer goods (FMCG) clothing brand noticed that the sales volume of the star products launched each season in her store was not satisfactory. To identify the root cause and improve the store's sales performance, the brand turned to data-driven solutions to optimize store operations, particularly focusing on customer flow and merchandise display.

Pain Points
The store lacked objective data to assess and optimize two critical factors:

* Merchandise Display:It was unclear whether the placement of key items effectively captured customer attention.

* Customer Flow Analysis:There was no insight into how shoppers naturally moved through the store, making it difficult to align high-traffic areas with strategic product placement.

This data gap resulted in suboptimal visibility for star products, directly limiting their sales potential.

Using Whale SpaceSight, Kiki can achieve in-depth analysis of customers' movement behaviors after entering the store. This includes insights into multiple dimensions such as store browsing depth, stay duration, area flow, stay points, and customer churn, providing data basis for store display planning to improve the conversion rate of each link.

* For example, through in-store customer flow analysis with Whale SpaceSight, Kiki found that customers' store browsing routes were diverse and scattered, which meant many products failed to be seen by customers. Therefore, Kiki adjusted in a timely manner to control the number of customer browsing routes within a reasonable range, ensuring that customers could browse most products during their store visit.

* In addition, when Kiki found that the churn rate in a certain area of the store was very high through Whale SpaceSight, she realized that most customers chose to leave the store directly after entering that area. This indicated that the products displayed in that area had insufficient appeal to customers, so Kiki adjusted the goods in that area to reduce the customer churn rate.