Research on Retail Media Advertisements and Consumer Requirements - Taking E-Commerce Listing Pages as an Example

被引:1
作者
Li, Shu-Ching [1 ]
Chiu, Tseng-Ping [1 ]
机构
[1] Natl Cheng Kung Univ, Inst Ind Design, Tainan, Taiwan
来源
DESIGN, USER EXPERIENCE, AND USABILITY, DUXU 2023, PT II | 2023年 / 14031卷
关键词
User experience; Consumer requirements; Retail media advertising; E-commerce; Display advertising; Quality function deployment; QUALITY FUNCTION DEPLOYMENT;
D O I
10.1007/978-3-031-35696-4_9
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
In the "Cookieless" era, user-oriented privacy awareness highlights the advantages of e-commerce in directly obtaining user information. The era of emphasis on consumer experience has accelerated the development of retail media advertising. Therefore, the goal of this research is to promote the balance between e-commerce, retailers and consumer experience, and to improve digital advertising marketing efficiency and user experience. First of all, this study summarizes the 3 most common page types and 8 types of advertisements for retail advertisements through case studies. Then, a consumer questionnaire surveywas conducted through a simulated sample, and the influence of different consumer motivations and search types on the usage status of different pages was also explored. This study found that the list page is the best exposure position for retail media advertisements, and "Top Row ads" is the type of advertisement that attracts the most attention and favor from consumers. On the contrary, it is the type of "Sponsorship Advertising" that is currently the most widely used. It highlights how little e-commerce currently understands about the consumer experience. Finally, 10 key consumer requirements and 8 key design elements are sorted out through focus groups through QFD method.
引用
收藏
页码:106 / 122
页数:17
相关论文
共 40 条
  • [1] Data-driven digital advertising: benefits and risks of online behavioral advertising
    Aiolfi, Simone
    Bellini, Silvia
    Pellegrini, Davide
    [J]. INTERNATIONAL JOURNAL OF RETAIL & DISTRIBUTION MANAGEMENT, 2021, 49 (07) : 1089 - 1110
  • [2] Akao Y., 2003, International Journal of Quality Reliability Management, V20, P20, DOI 10.1108/02656710310453791
  • [3] Digital advertising around paid spaces, E-advertising industry's revenue engine: A review and research agenda
    Aslam, Bilal
    Karjaluoto, Heikki
    [J]. TELEMATICS AND INFORMATICS, 2017, 34 (08) : 1650 - 1662
  • [4] Bendixen M.T., 1993, EUR J MARKETING, V27, P19, DOI DOI 10.1108/03090569310045861
  • [5] Benway JP, 1998, HUM FAC ERG SOC P, P463
  • [6] Online Behavioral Advertising: A Literature Review and Research Agenda
    Boerman, Sophie C.
    Kruikemeier, Sanne
    Borgesius, Frederik J. Zuiderveen
    [J]. JOURNAL OF ADVERTISING, 2017, 46 (03) : 363 - 376
  • [7] Bouchereau V., 2000, Benchmarking: An International Journal
  • [8] Campbell M.C., 1995, Journal of Consumer Psychology, V4, P225, DOI [10.1207/s15327663jcp0403_02, DOI 10.1207/S15327663JCP0403_02]
  • [9] Quality function deployment: A literature review
    Chan, LK
    Wu, ML
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2002, 143 (03) : 463 - 497
  • [10] Simple and Scalable Response Prediction for Display Advertising
    Chapelle, Olivier
    Manavoglu, Eren
    Rosales, Romer
    [J]. ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2015, 5 (04)