133: Solving for the Marketplace Problem with Andrew Yates
As anyone who listens to the show regularly knows, I've always been fascinated by marketplaces. How do we figure out what to charge for something, and how do we match buyers and sellers? How does a company like Uber match drivers to riders so quickly? Today we have Andrew Yates, Co-Founder & CEO at Promoted.ai, to talk about marketplaces and how to optimize for this two-sided problem.
00:00:15 Introduction
00:00:27 Introducing Andrew Yates
00:00:50 Andrew’s Programming Background
00:04:19 Andrew at Promoted.AI
00:08:17 What is a Marketplace?
00:17:45 Marketplace Rankings
00:22:50 Short-term vs Long-term Experience
00:24:43 Machine Learning and the Marketplace
00:34:57 Measurements
00:37:09 Promoted.AI Integration
00:38:31 How Promoted.AI Measures Success
00:41:14 Auction Theory
00:46:08 Experience with YCombinator
00:50:34 Promoted.AI as a Company
00:55:47 Farewells
Resources mentioned in this episode:
Andrew Yates, Co-Founder & CEO at Promoted.ai:
- LinkedIn: https://www.linkedin.com/in/andrew-yates-0217a985/
- Twitter: https://mobile.twitter.com/ayates_promoted
Promoted.ai:
- Website: https://www.promoted.ai/
- LinkedIn: https://www.linkedin.com/company/promoted-ai/
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