EconPapers    
Economics at your fingertips  
 

Compensating Heterogeneous Salesforces: Some Explicit Solutions

Ram C. Rao
Additional contact information
Ram C. Rao: The University of Texas at Dallas

Marketing Science, 1990, vol. 9, issue 4, 319-341

Abstract: This paper considers the question of how a sales manager should design the optimal compensation scheme for his salesforce when it consists of salespersons of varying selling skills, i.e., when the salesforce is heterogeneous. The manager's problem is to reward the salespersons based on observable, uncertain sales achieved by the salespersons. Under the assumption that both the manager and the salespersons are risk neutral, the optimal compensation scheme is derived. It consists of the manager offering a menu of plans, consisting of a quota, a payment for meeting quota, and a constant commission rate for sales above or below quota. Such schemes using constant commission rates are also called menus of linear plans. Salespersons choose the quota which best suits them, achieve sales, and are then rewarded based on their actual performance. This scheme, variants of which are often observed in practice, is shown to be optimal for sales environments characterized by commonly encountered sales response functions, and a large class of frequency distributions of selling skills in the salesforce. The problem is solved using the methods of principal-agent models. The key differences in managing homogeneous and heterogeneous salesforces are highlighted. Finally, the paper discusses the issues involved in practically implementing the optimal compensation scheme.

Keywords: salesforce compensation; selling skill; heterogeneous salespersons; menu of linear plans; principal-agent models (search for similar items in EconPapers)
Date: 1990
References: Add references at CitEc
Citations: View citations in EconPapers (45)

Downloads: (external link)
http://dx.doi.org/10.1287/mksc.9.4.319 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:inm:ormksc:v:9:y:1990:i:4:p:319-341

Access Statistics for this article

More articles in Marketing Science from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().

 
Page updated 2025-03-19
Handle: RePEc:inm:ormksc:v:9:y:1990:i:4:p:319-341