Dynamic Consumer Search

Alexei Parakhonyak and Andrew Rhodes ()
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Andrew Rhodes: TSE-R - Toulouse School of Economics - UT Capitole - Université Toulouse Capitole - UT - Université de Toulouse - EHESS - École des hautes études en sciences sociales - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement

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Abstract: We consider a model in which consumers wish to buy a product repeatedly over time, but need to engage in costly search to learn prices and find a product that matches them well. The optimal search rule has two reservation values, one for newly-searched products, and another for products that were searched in the past. Depending on the search cost, firms either keep price steady over time, or gradually raise price to take advantage of a growing pool of high-valuation repeat customers. The model generates rich search and purchase dynamics, as consumers may optimally "stagger" search over time, initially trying different products, settling on one and buying it for a while, before choosing to search again for something better. We also show that consumers may be better off when firms can offer personalized prices based on their search history.

Keywords: Consumer search; Repeat purchases; Price dispersion; Turnover (search for similar items in EconPapers)
Date: 2025-02-17
Note: View the original document on HAL open archive server: https://hal.science/hal-04950999v1
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Working Paper: Dynamic Consumer Search (2024)
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