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A Salesforce-Driven Model of Consumer Choice

Author

Listed:
  • Bicheng Yang

    (Sauder School of Business, University of British Columbia, Vancouver, British Columbia V6T 1Z2, Canada)

  • Tat Chan

    (Olin Business School, Washington University in St. Louis, St. Louis, Missouri 63130)

  • Raphael Thomadsen

    (Olin Business School, Washington University in St. Louis, St. Louis, Missouri 63130)

Abstract

This paper studies how salespeople affect the choices of which products consumers choose, and from that, how a firm should set optimal commissions as a function of the appeal, substitutability, and profit margins of different products. We also examine whether firms are better off promoting products through sales incentives or price discounts. To achieve these goals, we develop a salesforce-driven consumer choice model to study how performance-based commissions incentivize a salesperson’s service effort toward heterogeneous, substitutable products carried by a firm. The model treats the selling process as a joint decision by the salesperson and the consumer. It allows the salesperson’s efforts to vary across different transactions, depending on the unique preferences of each consumer, and incorporates the effects of commissions and other marketing mix elements on the selling outcome in a unified framework. We estimate the model using data from a car dealership. We find that the optimal commissions should be lower for popular items and for items that are closer substitutes with other products. We also find that for the car industry we study, the cost of selling more cars using sales incentives is cheaper than the cost of selling the same number of cars using price discounts.

Suggested Citation

  • Bicheng Yang & Tat Chan & Raphael Thomadsen, 2019. "A Salesforce-Driven Model of Consumer Choice," Marketing Science, INFORMS, vol. 38(5), pages 871-887, September.
  • Handle: RePEc:inm:ormksc:v:38:y:2019:i:5:p:871-887
    DOI: 10.1287/mksc.2019.1175
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    References listed on IDEAS

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    Cited by:

    1. Chadwick J. Miller & Daniel C. Brannon & Jim Salas & Martha Troncoza, 2021. "Advertising, incentives, and the upsell: how advertising differentially moderates customer- vs. retailer-directed price incentives’ impact on consumers’ preferences for premium products," Journal of the Academy of Marketing Science, Springer, vol. 49(6), pages 1043-1064, November.
    2. Tongil “TI”Kim, 2021. "When Franchisee Service Affects Demand: An Application to the Car Radiator Market and Resale Price Maintenance," Marketing Science, INFORMS, vol. 40(1), pages 101-121, January.
    3. Zhenling Jiang & Yanhao “Max” Wei & Tat Chan & Naser Hamdi, 2023. "Designing Dealer Compensation in the Auto-Loan Market: Implications from a Policy Change," Marketing Science, INFORMS, vol. 42(5), pages 958-983, September.
    4. Gu, Wei & Luo, Jing & Yu, Xiaoru & Zhang, Wenqing & Li, Baixun, 2023. "Dynamic decisions between sellers and consumers in online second-hand trading platforms: Evidence from C2C transactions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 177(C).
    5. Pranav Jindal & Peter Newberry, 2022. "The Profitability of Revenue-Based Quotas Under Price Negotiation," Management Science, INFORMS, vol. 68(2), pages 917-940, February.

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