arbiter
JournalsPricingAccount

EXPRESS: How Effective Is Suggested Pricing?: Experimental Evidence from an E-Commerce Platform

Jessica Fong et al.

Journal of Marketing Research2026https://doi.org/10.1177/00222437261432198article
FT50UTD24AJG 4*ABDC A*
Weight
0.50

What the paper says

We investigate how platform-suggested prices influence sellers’ pricing decisions and selling outcomes. In collaboration with Mercari, a peer-to-peer e-commerce platform, we conduct a field experiment that varies whether a seller receives a suggested price, and if so, the suggested price itself. We find that a 30% change in suggested prices leads to a 5% change in listing prices in the same direction. Suggested prices are more influential when pricing is more challenging, such as for new sellers and used items. Lower suggested prices improve both the likelihood of sale and the resulting seller revenue. We show, in a subsequent experiment, that these results are likely to generalize to the full equilibrium. Our findings imply that platform-suggested pricing is an effective compromise that guides seller pricing while allowing them to incorporate their private information.

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.1177/00222437261432198

Or copy a formatted citation

@article{jessica2026,
  title        = {{EXPRESS: How Effective Is Suggested Pricing?: Experimental Evidence from an E-Commerce Platform}},
  author       = {Jessica Fong et al.},
  journal      = {Journal of Marketing Research},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1177/00222437261432198},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

EXPRESS: How Effective Is Suggested Pricing?: Experimental Evidence from an E-Commerce Platform

Flags are reviewed by the Arbiter methodology team within 5 business days.

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.