Retailers’ product location problem with consumer search

  • Raluca M. UrsuEmail author
  • Daria Dzyabura


With few exceptions, today’s retailers sell products across multiple categories. One strategic consideration of such retailers is product location, which determines how easy or difficult different categories are for customers to access. For example, grocery or department stores determine which products will be located closer to the entrance of the store versus at the back of it, while online retailers decide which products to feature on the homepage, and which will require scrolling or keyword search to get to. In this paper, we study how a retailer should optimally locate products within a store, when the locations chosen affect consumer search costs. We show that the retailer has an incentive to prioritize products with lower utility, contrasting with prior work. The intuition for our result is that the consumer may be willing to search less preferred products only at the lower cost, while the more preferred products will be searched even at higher search costs. This strategy benefits the retailer by increasing the number of products the consumer searches and thus, the ones she may buy. Our finding is robust to several extensions: (i) a retailer determining not only product locations, but also prices, (ii) independent (e.g. categories), as well as substitute products, and (iii) a focal retailer that faces competition. From a managerial perspective, we show that allocating products in the store without taking into account how this affects consumer search costs, might mean consumers overlook products they would otherwise purchase.


Consumer search Multi-category retailer Product location problem 

JEL Classification

L81 D83 D11 



We are thankful for comments from Alixandra Barasch, Kristina Brecko, Xinyu Cao, Pradeep Chintagunta, Babur De los Santos, Chaim Fershtman, Tobias Gamp, Konstantin Korotkiy, Song Lin, Dmitry Lubensky, Eitan Muller, Cem Ozturk, Vaiva Petrikaite, Robbie Sanders, Andrey Simonov, Adam Smith, Monic Sun, Artem Timoshenko, Miguel Villas-Boas, Chris Wilson, Hema Yoganarasimhan, and attendees of the 2018 Consumer Search and Switching Cost Workshop, the 2018 Workshop on Multi-Armed Bandits and Learning Algorithms, and the 2018 Marketing Science conference. The usual disclaimer applies.


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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Marketing Department, Stern School of BusinessNew York UniversityNew YorkUSA
  2. 2.New Economic SchoolMoscowRussia

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