Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/113710
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Title: A salesforce-driven model of consumer choice
Authors: Yang, B 
Chan, TM 
Thomadsen, R
Issue Date: Sep-2019
Source: Marketing science, Sept-Oct. 2019, v. 38, no. 5, p. 871-887
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.
Keywords: Consumer choice
Differentiated products
Incentives
Salesforce management
Publisher: Institute for Operations Research and the Management Sciences (INFORMS)
Journal: Marketing science 
ISSN: 0732-2399
EISSN: 1526-548X
DOI: 10.1287/mksc.2019.1175
Rights: Copyright: © 2019 INFORMS
This is the accepted manuscript of the following article: Bicheng Yang, Tat Chan, Raphael Thomadsen (2019) A Salesforce-Driven Model of Consumer Choice. Marketing Science 38(5):871-887, which has been published in final form at https://doi.org/10.1287/mksc.2019.1175.
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