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Customer Relationship and Sales

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  • Shouyong Shi

Abstract

I analyze a search equilibrium in a large market where customer relationship based on past trade arises endogenously together with service priority and sales. Specifically, there exists a unique equilibrium where it is optimal for a buyer to make repeat purchases from the related seller and optimal for a seller to give service priority to the related buyer. Customer relationship always improves welfare by reducing search frictions, but the equilibrium is socially efficient only when the buyer/seller ratio in the market is below a critical level. When the buyer/seller ratio exceeds this critical level, the equilibrium is inefficient because it fails to induce the coexistence of trading priority for related buyers and partial mixing of buyers for related sellers. Customer relationship induces price variations for individual sellers over time even when market conditions do not change. A seller posts a (high) regular price to sell to the related buyer and, once the seller loses the relationship, the seller posts a (low) sale price to sell to unrelated buyers until he gains a relationship. I also examine how market conditions affect the aggregate stock of relationships, markups, the size and the duration of a sale.

Suggested Citation

  • Shouyong Shi, 2013. "Customer Relationship and Sales," Working Papers tecipa-490, University of Toronto, Department of Economics.
    • Handle: RePEc:tor:tecipa:tecipa-490
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    Cited by:

    1. Petrosky-Nadeau, Nicolas & Wasmer, Etienne, 2015. "Macroeconomic dynamics in a model of goods, labor, and credit market frictions," Journal of Monetary Economics, Elsevier, vol. 72(C), pages 97-113.
    2. Shi, Shouyong, 2016. "Customer relationship and sales," Journal of Economic Theory, Elsevier, vol. 166(C), pages 483-516.
    3. Shouyong Shi, 2019. "Sequentially Mixed Search and Equilibrium Price Dispersion," 2019 Meeting Papers 322, Society for Economic Dynamics.
    4. De Francesco, Massimo A., 2018. "Conditional loyalty and its implications for pricing," MPRA Paper 91671, University Library of Munich, Germany, revised 26 Nov 2018.
    5. Kim, Byung Woon & Park, Joonho & Youl Ko, Chang, 2013. "Cost allocation of WCDMA and wholesale pricing for mVoIP and data services," Telecommunications Policy, Elsevier, vol. 37(1), pages 35-47.
    6. Guerrieri, Veronica & Julien, Benoit & Kircher, Philipp & Wright, Randall, 2017. "Directed Search: A Guided Tour," CEPR Discussion Papers 12315, C.E.P.R. Discussion Papers.
    7. Emmanuel Saez & Pascal Michaillat, 2013. "A Theory of Aggregate Supply and Aggregate Demand as Functions of Market Tightness with Prices as Parameters," 2013 Meeting Papers 1216, Society for Economic Dynamics.
    8. Petrosky-Nadeau, Nicolas & Wasmer, Etienne, 2015. "Macroeconomic dynamics in a model of goods, labor, and credit market frictions," Journal of Monetary Economics, Elsevier, vol. 72(C), pages 97-113.
    9. Hämäläinen, Saara & Petrikaite, Vaiva, 2018. "Mobility with private information and privacy suppression," CEPR Discussion Papers 12860, C.E.P.R. Discussion Papers.
    10. Petrosky-Nadeau, Nicolas & Wasmer, Etienne, 2015. "Macroeconomic dynamics in a model of goods, labor, and credit market frictions," Journal of Monetary Economics, Elsevier, vol. 72(C), pages 97-113.
    11. Alok Johri & Terry Yip, 2017. "Financial Shocks,Supply-chain Relationships and the Great Trade Collapse," Department of Economics Working Papers 2017-11, McMaster University.

    More about this item

    Keywords

    Customer relationship; Sales; Directed search;

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D40 - Microeconomics - - Market Structure, Pricing, and Design - - - General

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