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Marketplaces Deep Dive with Ramesh Johari
ACQ2 by Acquired
Rover - ny close to metro lines
Optimizing for a local maximum doesn't guarantee a global maximum. This was evident at Rover in New York City, where users cared more about sitters close to subway lines rather than geographic proximity. By revamping our approach, we catered to their preferences. Running the same machine learning algorithms used across the country wouldn't have revealed this insight.
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