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Modeling the effects of dynamic group influence on shopper zone choice, purchase conversion, and spending

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  • Xiaoling Zhang

    (Shanghai University of International Business and Economics)

  • Shibo Li

    (Indiana University)

  • Raymond R. Burke

    (Indiana University)

Abstract

In many retail contexts, social interaction plays an important role in the shopping process. We propose a three-stage dynamic linear model that captures the influence of group discussion on shopper behavior within a hierarchical Bayes framework. The model is tested using a video tracking and transaction dataset from a specialty apparel store. The research reveals that group conversations have a significant impact on the shopper’s department or “zone” choice, purchase likelihood, and spending over time. This group influence is magnified by the size of the group (particularly for zone penetration and purchase conversion), and is also moderated by group composition and cohesiveness. The conversations of mixed-age groups and groups who stay together while shopping have a significant influence on shopper behavior across all three stages, while discussions by adult groups exhibit a marginal carryover effect for purchase conversion. When shoppers have repeated discussions in a specific department, they are more likely to return to and buy from this department, while the cumulative number of discussions in the store drives higher spending levels. We also observe that group shoppers visit more departments than their solo counterparts; and mixed-age groups and solo shoppers are more likely to buy than adults-only or teen groups. This study has important implications for how retailers manage shopper engagement and group interaction in their stores.

Suggested Citation

  • Xiaoling Zhang & Shibo Li & Raymond R. Burke, 2018. "Modeling the effects of dynamic group influence on shopper zone choice, purchase conversion, and spending," Journal of the Academy of Marketing Science, Springer, vol. 46(6), pages 1089-1107, November.
  • Handle: RePEc:spr:joamsc:v:46:y:2018:i:6:d:10.1007_s11747-018-0590-9
    DOI: 10.1007/s11747-018-0590-9
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    2. Tim Hilken & Debbie I. Keeling & Ko Ruyter & Dominik Mahr & Mathew Chylinski, 2020. "Seeing eye to eye: social augmented reality and shared decision making in the marketplace," Journal of the Academy of Marketing Science, Springer, vol. 48(2), pages 143-164, March.
    3. Balakrishnan, Janarthanan & Foroudi, Pantea & Dwivedi, Yogesh K., 2020. "Does online retail coupons and memberships create favourable psychological disposition?," Journal of Business Research, Elsevier, vol. 116(C), pages 229-244.
    4. Epstein, Leonardo D. & Inostroza-Quezada, Ignacio E. & Goodstein, Ronald C. & Choi, S. Chan, 2021. "Dynamic effects of store promotions on purchase conversion: Expanding technology applications with innovative analytics," Journal of Business Research, Elsevier, vol. 128(C), pages 279-289.
    5. Sebastian Schneider & Frank Huber, 2022. "You paid what!? Understanding price-related word-of-mouth and price perception among opinion leaders and innovators," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 21(1), pages 64-80, February.
    6. Alexander B. Pratt & Stacey G. Robinson & Clay M. Voorhees & Joyce (Feng) Wang & Michael D. Giebelhausen, 2023. "Unintended effects of price promotions: Forgoing competitors’ price promotions strengthens incumbent brand loyalty," Journal of the Academy of Marketing Science, Springer, vol. 51(5), pages 1143-1164, September.
    7. Gui, Dan-Yang & Liu, Shixiong & Dai, Yu & Liu, Ying & Wang, Xiaoli & Huang, Huiying, 2021. "Greater patience and monetary expenditure: How shopping with companions influences purchase decisions," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
    8. Abhishek Borah & Francesca Bonetti & Angelito Calma & José Martí-Parreño, 2023. "The Journal of the Academy of Marketing Science at 50: A historical analysis," Journal of the Academy of Marketing Science, Springer, vol. 51(1), pages 222-243, January.

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