Visual Comparison of Customer Stickiness in Retail Stores  

作　　者：JIANG Tao SHI Lei ZHAO Ye ZHANG Xiatian LU Yao HUANG Congcong 

机构地区：[1]SKLCS,Institute of Software,Chinese Academy of Sciences [2]Department of Computer Science,Kent State University [3]Beijing Tendcloud Tianxia Technology Co.,Ltd

出　　处：《Chinese Journal of Electronics》2018年第5期951-958,共8页电子学报（英文版）

基　　金：supported by the National Basic Research Program of China(No.2014CB340301);the National Natural Science Foundation of China(No.61379088,No.61772504);the Key Research Program of Frontier Sciences,CAS(No.QYZDY-SSW-JSC041);U.S. National Science Foundation(No.1535031,No.1637242)

摘　　要：Understanding market trends and forming competitive promotion strategies has always been a major task of retail store managers. One big challenge is the lack of effective tools for in-depth customer behavior analysis. In this paper, we apply visual analytics techniques to address the challenge, which is built up on the emerging and mobile location big data. We present a system that focuses on the analysis of customer stickiness which represents customers' affinity to retail stores. The system integrates mobile data pre-processing, customer stickiness analysis, multi-view visualization, and a set of interactions.The visual analytics techniques are mainly designed for two types of user tasks: 1) understanding the spatio-temporal distribution of customer traces related to retail stores; 2)evaluating the performance and trend of multiple retail stores through visual comparison. We have demonstrated the effectiveness of the system through two case studies including advertisement placement and business branch reconfiguration.Understanding market trends and forming competitive promotion strategies has always been a major task of retail store managers. One big challenge is the lack of effective tools for in-depth customer behavior analysis. In this paper, we apply visual analytics techniques to address the challenge, which is built up on the emerging and mobile location big data. We present a system that focuses on the analysis of customer stickiness which represents customers＇ affinity to retail stores. The system integrates mobile data pre-processing, customer stickiness analysis, multi-view visualization, and a set of interactions.The visual analytics techniques are mainly designed for two types of user tasks： 1） understanding the spatio-temporal distribution of customer traces related to retail stores; 2）evaluating the performance and trend of multiple retail stores through visual comparison. We have demonstrated the effectiveness of the system through two case studies including advertisement placement and business branch reconfiguration.

关 键 词：SPATIO-TEMPORAL Visual comparison Retail store analysis Location based marketing 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]