Identifying Sales Performance Gaps with Internal Benchmarking

Danny P. Claro and Wagner A. Kamakura

Journal of Retailing, 2017, vol. 93, issue 4, 401-419

Abstract: This research investigates how retailers can benefit from identifying the sales growth potential of in-store salespeople in every product category. The proposed novel approach helps retailers develop an equitable evaluation of their sales force, using both observable and unobservable factors that affect sales. By extending stochastic frontier regression to a multivariate case, the resulting factor-analytic frontier formulation leverages the correlation pattern of sales across product categories and salespeople over time. A unique data set, from a franchise chain with 481 salespeople, operating in 35 stores and selling 11 related product categories, identifies a gap between observed category profits and an estimated profit frontier for each salesperson and category. This novel model also can benchmark each salesperson against all others across product categories while accounting for observable and unobservable factors. This approach has practical value, in that retailers can identify both top-performing salespeople and underperformers, who then might be matched to establish a positive learning environment that aligns top performers with proven sales expertise in a product category with peers who struggle with that category.

Keywords: Internal benchmarking; Sales force management; Sales efficiency; Multivariate stochastic frontier regression; Latent variables; Embedded knowledge (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0022435917300672
Full text for ScienceDirect subscribers only

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:eee:jouret:v:93:y:2017:i:4:p:401-419

DOI: 10.1016/j.jretai.2017.08.001

Access Statistics for this article

Journal of Retailing is currently edited by A. Roggeveen

More articles in Journal of Retailing from Elsevier
Bibliographic data for series maintained by Catherine Liu ().