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Optimally informative rankings and consumer search

Maurice Janssen et al.

International Journal of Industrial Organization2026https://doi.org/10.1016/j.ijindorg.2026.103282article
AJG 3ABDC A*
Weight
0.50

Abstract

This paper investigates the optimal information policy of an online platform (or multi-product firm) when ranking products in response to a consumer search query. The informativeness of rankings ranges from full information to full obfuscation, and consumers learn their match values with the products by engaging in costly sequential search. Invoking continuous match value distributions allows us to establish a novel result about consumer search. While consumers buy products with high match values and continue searching when they encounter low match values, they abort search without buying a product for intermediate ones. For a large class of distributions, the optimal strategy of a platform maximizing the probability of the consumer buying a product is to provide either full information or the smallest amount of information subject to the constraint that the consumer starts searching. As a result, platform and consumer welfare are either fully aligned or at odds with each other.

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https://doi.org/https://doi.org/10.1016/j.ijindorg.2026.103282

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@article{maurice2026,
  title        = {{Optimally informative rankings and consumer search}},
  author       = {Maurice Janssen et al.},
  journal      = {International Journal of Industrial Organization},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1016/j.ijindorg.2026.103282},
}

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Optimally informative rankings and consumer search

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.