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Customer Learning and Loyalty When Quality is Uncertain

Listed author(s):
  • Noah Gans
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    A consumer has repeated contacts with a set of product or service providers. Each visit to a supplier yields the consumer some randomly distributed utility. The suppliers' utility distributions are unknown to the consumer, and to decide which supplier to visit, she uses a myopic variant of the decision rule used by a classical, utility-maximizing Bayesian. This rule is designed to be roughly consistent with empirical findings regarding individual choice under uncertainty. For this model, we develop closed-form expressions that characterize both short-term and long-term measures of customer loyalty to a supplier. These results offer a rich picture of how consumer discrimination and prior beliefs interact with the level of quality actually offered by suppliers to determine customer loyalty.

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    Paper provided by Wharton School Center for Financial Institutions, University of Pennsylvania in its series Center for Financial Institutions Working Papers with number 99-11.

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    Date of creation: Jan 1999
    Handle: RePEc:wop:pennin:99-11
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