Dominant platform businesses often develop products in adjacent markets to complement their core business. One common approach used to gain traction in these adjacent markets has been to pursue a tying strategy. For example, Microsoft pre-installed Internet Explorer into Windows, and Apple set Apple Maps as the iOS default. Policymakers have raised concerns that dominant platforms may be leveraging their market power to gain traction for lower quality products when they use a tying strategy. In this paper, we empirically explore this question by examining Google's decision to tie its new reviews product to its search engine. We experimentally vary the reviews displayed above Google's organic search results to show either exclusively Google reviews (Google's current tying strategy), or reviews from multiple platforms determined to be the best-performing by Google's own organic search algorithm. We find that users prefer the version that does not exclude competitor reviews. Furthermore, looking at observational data on user traffic to Yelp from search engines, we find that Google's exclusion of downstream competitors may have been effective. The share of Yelp's traffic coming from Google has declined over this period, relative to traffic from Bing and Yahoo (which do not exclude other companies' reviews), and Google reviews has grown quicker than Yelp and TripAdvisor during the period in which they excluded these (and other) reviews providers. Overall, these results shed light on platform strategy: tying has the potential to facilitate entry in complementary markets, even when the tied product is of worse quality than competitors. * Byron Perpetua and Patrick Rooney provided excellent research assistance. Travis Brooks, Sebastien Couvidat, Dan Frank, and Will Seltzer provided valuable support and feedback on the design and implementation of the experiment. We thank Susan Athey, Benjamin Edelman, Joshua Gans, and Timothy Wu for constructive comments on this paper. This project received financial support from Yelp. Kim and Luca have done consulting for tech companies including Yelp, but their compensation and ability to publish are not tied to the results of this paper. All remaining errors are our own. † Harvard Business School; hkim@hbs.edu ‡ Harvard Business School; mluca@hbs.edu