This is Prescient, and we’re changing the game with novel AI.
Prescient is your premier state-of-the-art automation software for ecommerce brands.
Prescient is the answer to fueling a brand’s success. Our tech helps you measure, forecast, optimize, and continuously backtest your marketing funnels with such meticulous accuracy that it saves you the two most important things in business: time and money.
Prescient is the future of tech through predicted profitability.
We know that the ecommerce space is changing and the internet is evolving. We’re here to set a new tone for the future of tech: predicted profitability. What if you could predict the success of your campaigns with such accuracy that you know your profit margins before advertising your product? Now, what if you could do that while maintaining the privacy of your customers? This is Prescient.
As Seen In
Meet the Leadership Team
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Michael True
Co-Founder & CEO
Michael True is the co-founder and CEO of Prescient. Prior to starting the company he was responsible for helping clients of App Annie, IBM, and Oracle generate millions of dollars in revenue through various AI & analytics solutions. Mike holds a B.S. in Marketing from Salve Regina University.
Suggested Read: Why Marketing Leaders Prefer MMM Over MTA
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Cody Greco
Co-Founder and CTO
Cody Greco is the co-founder and CTO of Prescient. Prior to joining he served as CTO of Choosy through successful acquisition. Most notably, he established and scaled Grubhub’s research science team and went on to lead their global machine learning organization focusing on CLV, Marketing Simulations, and Demand Forecasting. Cody holds a B.S. in Operations Research from UCSD and M.S. in Computer Science from Georgia Tech.
Suggested Read: Why Branded Keywords Matter
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Jimmy Marsanico
VP Product
Jimmy Marsanico is the VP Product at Prescient. Prior to joining he ran the data organization at Imgur and the Enterprise product at Bloomberg. Having started his career as a Data Scientist and evolved into a Product expert, he brings a multifaceted perspective to align complex algorithms to executable insights. Jimmy holds a B.S. in Computer Engineering from NYIT and M.S. in Computer Engineering from Carnegie Mellon.
Suggested Read: Our Guide to Incrementality in Marketing
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Chris Kang
Director of Engineering
Chris Kang is the Director of Engineering at Prescient. Prior to joining he built, managed and deployed Demand Forecasting models across 700 markets for Grubhub. He is a true expert who brings enterprise data science and engineering expertise from companies like J&J, Philips, and Samsung. Chris holds a B.S. in Biochemistry from UCSD and M.S. in Mechanical Engineering from Boston University.
Suggested Read: The Prescient AI Guide to Marketing Mix Modeling (MMM)
Our Investors
our beginnings
Prescient initially set out and successfully proved attribution is possible within the streaming music industry. Similar to iOS and Cookie changes, the ability to tie streams on Spotify to specific campaigns did not exist.
In April of 2020, Prescient successfully backtested & optimized for ROAS, and predicted the performance of a #1 Billboard track based on our marketing mix recommendation.
Our accuracy was 96.3%.
“Prescient explains the vast amount of variables that impact the performance of album and track releases which helps our marketers trust the measurement of their talents.
So when forecasting streams for global track releases at 95% became the norm, I was sold.”
— Scott Cohen, Chief Innovation Officer, Warner Recorded Music