Promoted.ai

Promoted.ai

Search and feed ranking for marketplaces

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Promoted (YC W21) unifies organic search, promotions, and ads in one optimized system for marketplaces. We sort your marketplace search and promote the best listings at the top to increase revenue. http://promoted.ai
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What do you think? …

Andrew Yates
Hi, I’m Andrew, and my co-founder and CTO is Dan. We met at Pinterest ads engineering. Before, we built ads at Facebook and Google respectively. We use self-service performance ad tech to optimize marketplace search. Basically, we deliver every listing as if they were ads, even though they may not be. This works really well. It can increase conversions and seller retention by up to 25%. šŸš€ We work by providing all the hard data engineering around mobile formats, logging, attributing, joining, and aggregating data and feeding this into a full ML ranker. This is like personalized search, but real-time reactive, so it works on new and anonymous users, like on TikTok. We don't aggregate user data across apps because we don't need it. We happily work with any other ML systems by including them as features in our models, so we outperform any baseline. šŸ° Our mission is to match every buyer with every seller across every app. While we currently focus on internal marketplace optimization, our target market is new user acquisition which is today dominated by Facebook and Google. šŸŒŽ We'd love feedback! Ask us anything in the comments or email me at ayates@promoted.ai
Tyler Odean
@promoted @andrew_yates what kinds of things can Promoted rank?
Andrew Yates
@tyler_odean We rank everything in your search. We also specialize in mixing-in promotions, ads, and boosts. We work for every industry. We work like Facebook newsfeed, which has to work for any kind of story and every kind of business.
Walter Chen
looks awesome @andrew_yates! do you have a self serve product that i could use to play around with?
Andrew Yates
@smalter We do! https://www.promoted.ai/client-m... is our free open-source client library. It standardizes the "list view" on mobile and logs impressions, clicks, conversions with IDs to map them all together. It was designed by Yu-Hong, who is our awesome iOS eng leader who wrote Maps for iOS at Google. (for iOS, Android, React, and Web)
Tyler Odean
A terrific tool/platform for businesses looking to show the right thing to the right user at the right time šŸ‘
Andrew Yates
@tyler_odean and at the right price ;)
Oleksiy Malytskyy
Great niche! How did you test MVP for this project?
Andrew Yates
@oleksiy_malytskyy We deployed with awesome customers with strong engineering teams and a growing mobile app: Hipcamp and Snackpass. We needed to prove that we are an improvement over the state of the art for Silicon Valley engineering teams.
Ralph Gootee
Do you have any demo apps to check out for iOS?
Andrew Yates
@ralphleon We have a demo app for Android! https://github.com/promotedai/an... iOS and React demo apps coming soon. See https://www.promoted.ai/developers
John Sillings
Brilliant – and speaking a marketplace founder, this has definitely been an acute pain point.
Andrew Yates
@john_sillings Thank you, John!
Yigit Ihlamur
Congrats, Andrew. How does the integration process look like? Do you have any developer oriented documentation?
Dan Hill
@yigit - Hi Yigit! Thanks! See the following link for integration process details and developer libraries. https://www.promoted.ai/developers Here's a summary of the technical parts of our integration process. We usually start with a light weight integration. - Add Promoted's library to your server's API call where you'd want us to reorder items. - Add Promoted's impression and action tracking libraries to your web and mobile interfaces. We usually go through stages of (1) logging mode, (2) shadow traffic, (3) experiments and then (4) full launch. We're happy to answer more questions.
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