Advertising as Information for Ranking E-Commerce Search Listings
Abstract
Search engines and e-commerce platforms have substantial difficulty exposing new products to their users on account of an information problem: new products typically do not have enough sales or other user engagement that enables platforms to reliably assess product quality. This paper evaluates the role of advertising in providing information to the platform regarding new product quality so as to solve this “cold start” problem and to engineer higher quality organic listings. Using a large-scale experiment implemented at JD.com—a large e-commerce platform in China—we show that using ad propensity information for ranking new products benefits both the platform and consumers. Our findings showcase a new channel by which advertising can potentially improve outcomes for consumers and platforms in e-commerce through its ability to reveal information that can be used by platforms to improve search ranking algorithms.
History: Olivier Tobuia served as the senior editor.
Supplemental Material: The online appendix and data are available at https://doi.org/10.1287/mksc.2021.0292.
