• DocumentCode
    1226
  • Title

    ConvenienceProbe: A Phone-Based System for Retail Trade-Area Analysis

  • Author

    Chuang-Wen You ; Kao, Hsin-Liu Cindy ; Bo-Jhang Ho ; Chen, Yu-Han Tiffany ; Wei-Fehng Wang ; Lien-Ti Bei ; Hao-Hua Chu ; Ming-Syan Chen

  • Author_Institution
    Res. Center for Inf. Technol. Innovation, Taipei, Taiwan
  • Volume
    13
  • Issue
    1
  • fYear
    2014
  • fDate
    Jan.-Mar. 2014
  • Firstpage
    64
  • Lastpage
    71
  • Abstract
    Systematically and quantitatively determining patterns in consumer flow is an important problem in marketing research. Identifying these patterns can facilitate an understanding of where and when consumers purchase products and services at physical retail shops. Collecting data on real consumers who shop at retail stores is one of the most challenging and expensive aspects of these studies. This article introduces ConvenienceProbe, a phone-based data collection system for retail trade-area analysis. The proposed method targets local residents shopping at neighborhood convenience stores. This study deploys and tests the system by collecting real customer flow data in neighborhood convenience stores. Results show that the consumer flow data collected from the ConvenienceProbe system is comparable to that from a traditional face-to-face interview method.
  • Keywords
    market research; mobile computing; mobile handsets; retailing; ConvenienceProbe system; consumer flow data; face-to-face interview method; marketing research; neighborhood convenience stores; phone-based data collection system; phone-based system; physical retail shop; purchase products; real customer flow data; retail stores; retail trade-area analysis; Behavioral science; Consumer behavior; Data processing; Marketing and sales; Pattern recognition; Sales and marketing; Sensors; consumer behavior and marketing research; data collection and analysis; pervasive computing; phone sensing;
  • fLanguage
    English
  • Journal_Title
    Pervasive Computing, IEEE
  • Publisher
    ieee
  • ISSN
    1536-1268
  • Type

    jour

  • DOI
    10.1109/MPRV.2013.24
  • Filename
    6407143