Remove A/B Testing Remove Onboarding Remove Transportation
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Travis – thank you for leading us at Uber

Andrew Chen

He’ll ask about the sample sizes on your A/B tests. Wenqi Shao: Thank you Travis for inspiring us to change the face of transportation, for being our chief problem solver. Uber is fundamentally reshaping people’s transportation habits and how they interact with their cities.

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How to build a billion dollar digital marketplace – examples from Uber, eBay, Craigslist, and more

Andrew Chen

The reason the estimate was so off, as investor Bill Gurley pointed out , is that Uber goes beyond taxi use cases and grows the market substantially by unlocking many new categories of transportation. Signup and onboarding. Optimization : A/B testing growth levers – from email/SMS/push copy – to when/how to reach out.

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28 ways to grow supply in a marketplace — by Lenny Rachitsky, ex-Airbnb

Andrew Chen

While both consumer marketplaces are very different — one is a city-by-city transportation service, the other a global network of homes — they also share a lot of similarities too: Both were founded within a year of each other, quickly found network effects, made major design innovations that made the consumer experience 10X better, and much more.

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28 ways to grow supply in a marketplace — by Lenny Rachitsky, ex-Airbnb

Andrew Chen

While both consumer marketplaces are very different — one is a city-by-city transportation service, the other a global network of homes — they also share a lot of similarities too: Both were founded within a year of each other, quickly found network effects, made major design innovations that made the consumer experience 10X better, and much more.

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a16z Podcast: Why paid marketing sucks, Network effects, Viral Growth, and more

Andrew Chen

Why onboarding is so important for retention/churn. And you can start to draw conclusions, sort of a natural A/B test in order to do that. They have to get, you know… Sonal: It’s like the onboarding experience. Why blended CAC numbers are misleading. High frequency versus episodic usage products.