IDEAS home Printed from https://ideas.repec.org/a/kap/qmktec/v17y2019i1d10.1007_s11129-018-9208-2.html
   My bibliography  Save this article

Targeting and salesforce compensation: When sales spill over to unprofitable customers

Author

Listed:
  • Sumitro Banerjee

    (Marketing at Grenoble Ecole de Management)

  • Alex P. Thevaranjan

    (Syracuse University)

Abstract

Targeting selling efforts towards profitable customers is widely known to increase sales and allow firms to charge higher prices. In this paper, we show that targeting of selling efforts may also inadvertently lead to sales spilling over to unprofitable customers when they are not identifiable. Such spillover sales are more likely when the ability of the salesperson and the profitability of target customers are above a threshold. We also show that firms can solve this problem by lowering the sales incentives as well as the price to make their offer unattractive to the unprofitable customers, a strategy commonly referred as screening. When the ability and profitability are both very high, however, the firm is better off allowing sales to unprofitable customers because the cost of preventing sales from spilling over is excessive. This is because the reduction in profits from the target customers that results under screening exceeds the loss from allowing sales to unprofitable customers. Such an accommodation strategy becomes more attractive as the fraction of unprofitable customers in the market decreases. Finally, we show that the spillover problem is even more acute when firms can monitor the selling efforts of a salesperson.

Suggested Citation

  • Sumitro Banerjee & Alex P. Thevaranjan, 2019. "Targeting and salesforce compensation: When sales spill over to unprofitable customers," Quantitative Marketing and Economics (QME), Springer, vol. 17(1), pages 81-104, March.
  • Handle: RePEc:kap:qmktec:v:17:y:2019:i:1:d:10.1007_s11129-018-9208-2
    DOI: 10.1007/s11129-018-9208-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11129-018-9208-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11129-018-9208-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Jean Tirole, 1988. "The Theory of Industrial Organization," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262200716, April.
    2. Upender Subramanian & Jagmohan S. Raju & Z. John Zhang, 2014. "The Strategic Value of High-Cost Customers," Management Science, INFORMS, vol. 60(2), pages 494-507, February.
    3. B. P. S. Murthi & Sumit Sarkar, 2003. "The Role of the Management Sciences in Research on Personalization," Management Science, INFORMS, vol. 49(10), pages 1344-1362, October.
    4. Birendra K. Mishra & Ashutosh Prasad, 2004. "Centralized Pricing Versus Delegating Pricing to the Salesforce Under Information Asymmetry," Marketing Science, INFORMS, vol. 23(1), pages 21-27, January.
    5. Holmstrom, Bengt & Milgrom, Paul, 1987. "Aggregation and Linearity in the Provision of Intertemporal Incentives," Econometrica, Econometric Society, vol. 55(2), pages 303-328, March.
    6. Avner Shaked & John Sutton, 1990. "Multiproduct Firms and Market Structure," RAND Journal of Economics, The RAND Corporation, vol. 21(1), pages 45-62, Spring.
    7. Avi Goldfarb & Catherine E. Tucker, 2011. "Privacy Regulation and Online Advertising," Management Science, INFORMS, vol. 57(1), pages 57-71, January.
    8. Duncan Simester & Juanjuan Zhang, 2014. "Why Do Salespeople Spend So Much Time Lobbying for Low Prices?," Marketing Science, INFORMS, vol. 33(6), pages 796-808, November.
    9. Rajiv Lal & V. Srinivasan, 1993. "Compensation Plans for Single- and Multi-Product Salesforces: An Application of the Holmstrom-Milgrom Model," Management Science, INFORMS, vol. 39(7), pages 777-793, July.
    10. Amiya K. Basu & Rajiv Lal & V. Srinivasan & Richard Staelin, 1985. "Salesforce Compensation Plans: An Agency Theoretic Perspective," Marketing Science, INFORMS, vol. 4(4), pages 267-291.
    11. Roman Inderst & Marco Ottaviani, 2009. "Misselling through Agents," American Economic Review, American Economic Association, vol. 99(3), pages 883-908, June.
    12. Pradeep Bhardwaj, 2001. "Delegating Pricing Decisions," Marketing Science, INFORMS, vol. 20(2), pages 143-169, September.
    13. Yuxin Chen & Ganesh Iyer, 2002. "Research Note Consumer Addressability and Customized Pricing," Marketing Science, INFORMS, vol. 21(2), pages 197-208, November.
    14. Kissan Joseph & Alex Thevaranjan, 1998. "Monitoring and Incentives in Sales Organizations: An Agency-Theoretic Perspective," Marketing Science, INFORMS, vol. 17(2), pages 107-123.
    15. Mas-Colell, Andreu & Whinston, Michael D. & Green, Jerry R., 1995. "Microeconomic Theory," OUP Catalogue, Oxford University Press, number 9780195102680.
    16. Jiwoong Shin & K. Sudhir & Dae-Hee Yoon, 2012. "When to "Fire" Customers: Customer Cost-Based Pricing," Management Science, INFORMS, vol. 58(5), pages 932-947, May.
    17. Ganesh Iyer & David Soberman & J. Miguel Villas-Boas, 2005. "The Targeting of Advertising," Marketing Science, INFORMS, vol. 24(3), pages 461-476, May.
    18. Ajay Kalra & Mengze Shi & Kannan Srinivasan, 2003. "Salesforce Compensation Scheme and Consumer Inferences," Management Science, INFORMS, vol. 49(5), pages 655-672, May.
    19. Yuxin Chen & Chakravarthi Narasimhan & Z. John Zhang, 2001. "Individual Marketing with Imperfect Targetability," Marketing Science, INFORMS, vol. 20(1), pages 23-41, November.
    20. Esther Gal-Or & Mordechai Gal-Or & Jerrold H. May & William E. Spangler, 2006. "Targeted Advertising Strategies on Television," Management Science, INFORMS, vol. 52(5), pages 713-725, May.
    21. Michael Ahearne & Eli Jones & Adam Rapp & John Mathieu, 2008. "High Touch Through High Tech: The Impact of Salesperson Technology Usage on Sales Performance via Mediating Mechanisms," Management Science, INFORMS, vol. 54(4), pages 671-685, April.
    22. Birendra K. Mishra & Ashutosh Prasad, 2005. "Delegating Pricing Decisions in Competitive Markets with Symmetric and Asymmetric Information," Marketing Science, INFORMS, vol. 24(3), pages 490-497, March.
    23. Coughlan, Anne T & Narasimhan, Chakravarthi, 1992. "An Empirical Analysis of Sales-Force Compensation Plans," The Journal of Business, University of Chicago Press, vol. 65(1), pages 93-121, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sumitro Banerjee & Alex P. Thevaranjan, 2013. "How to deal with unprofitable customers? A salesforce compensation perspective," ESMT Research Working Papers ESMT-13-05, ESMT European School of Management and Technology.
    2. Duncan Simester & Juanjuan Zhang, 2014. "Why Do Salespeople Spend So Much Time Lobbying for Low Prices?," Marketing Science, INFORMS, vol. 33(6), pages 796-808, November.
    3. Jian Chen & He Huang & Liming Liu & Hongyan Xu, 2021. "Price Delegation or Not? The Effect of Heterogeneous Sales Agents," Production and Operations Management, Production and Operations Management Society, vol. 30(5), pages 1350-1364, May.
    4. Long Gao, 2023. "Optimal Incentives for Salespeople with Learning Potential," Management Science, INFORMS, vol. 69(6), pages 3285-3296, June.
    5. Özalp Özer & Upender Subramanian & Yu Wang, 2018. "Information Sharing, Advice Provision, or Delegation: What Leads to Higher Trust and Trustworthiness?," Management Science, INFORMS, vol. 64(1), pages 474-493, January.
    6. Fabio Caldieraro & Anne T. Coughlan, 2009. "Optimal Sales Force Diversification and Group Incentive Payments," Marketing Science, INFORMS, vol. 28(6), pages 1009-1026, 11-12.
    7. Yan Dong & Yuliang Yao & Tony Haitao Cui, 2011. "When Acquisition Spoils Retention: Direct Selling vs. Delegation Under CRM," Management Science, INFORMS, vol. 57(7), pages 1288-1299, July.
    8. Tat Y. Chan & Jia Li & Lamar Pierce, 2014. "Compensation and Peer Effects in Competing Sales Teams," Management Science, INFORMS, vol. 60(8), pages 1965-1984, August.
    9. Zhang, Jianqiang & He, Xiuli, 2019. "Targeted advertising by asymmetric firms," Omega, Elsevier, vol. 89(C), pages 136-150.
    10. Birendra K. Mishra & Ashutosh Prasad, 2005. "Delegating Pricing Decisions in Competitive Markets with Symmetric and Asymmetric Information," Marketing Science, INFORMS, vol. 24(3), pages 490-497, March.
    11. Frenzen, Heiko & Hansen, Ann-Kristin & Krafft, Manfred & Mantrala, Murali K. & Schmidt, Simone, 2010. "Delegation of pricing authority to the sales force: An agency-theoretic perspective of its determinants and impact on performance," International Journal of Research in Marketing, Elsevier, vol. 27(1), pages 58-68.
    12. Sanjog Misra & Anne Coughlan & Chakravarthi Narasimhan, 2005. "Salesforce Compensation: An Analytical and Empirical Examination of the Agency Theoretic Approach," Quantitative Marketing and Economics (QME), Springer, vol. 3(1), pages 5-39, January.
    13. Esther Gal-Or & Ronen Gal-Or & Nabita Penmetsa, 2018. "The Role of User Privacy Concerns in Shaping Competition Among Platforms," Information Systems Research, INFORMS, vol. 29(3), pages 698-722, September.
    14. Avi Goldfarb, 2014. "What is Different About Online Advertising?," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 44(2), pages 115-129, March.
    15. Zhao Jiang & Dan Wu, 2022. "Targeting Precision in Imperfect Targeted Advertising: Implications for the Regulation of Market Structure and Efficiency," SAGE Open, , vol. 12(1), pages 21582440221, March.
    16. Wang, Wei & Li, Gang & Fung, Richard Y.K. & Cheng, T.C.E., 2019. "Mobile Advertising and Traffic Conversion: The Effects of Front Traffic and Spatial Competition," Journal of Interactive Marketing, Elsevier, vol. 47(C), pages 84-101.
    17. Esteves, Rosa-Branca & Cerqueira, Sofia, 2017. "Behavior-based pricing under imperfectly informed consumers," Information Economics and Policy, Elsevier, vol. 40(C), pages 60-70.
    18. Rodrigo Montes & Wilfried Sand-Zantman & Tommaso Valletti, 2019. "The Value of Personal Information in Online Markets with Endogenous Privacy," Management Science, INFORMS, vol. 65(3), pages 1342-1362, March.
    19. Zhao Jiang & Wu Dan & Liu Jie, 2020. "Distinct role of targeting precision of Internet-based targeted advertising in duopolistic e-business firms’ heterogeneous consumers market," Electronic Commerce Research, Springer, vol. 20(2), pages 453-474, June.
    20. Sandro Shelegia & Joshua Sherman, 2022. "Bargaining at Retail Stores: Evidence from Vienna," Management Science, INFORMS, vol. 68(1), pages 27-36, January.

    More about this item

    Keywords

    Salesforce compensation; Targeting; Principal-agent models; Agency theory;
    All these keywords.

    JEL classification:

    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing
    • M52 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Compensation and Compensation Methods and Their Effects
    • D86 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Economics of Contract Law
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:kap:qmktec:v:17:y:2019:i:1:d:10.1007_s11129-018-9208-2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.