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Innovation Agent

A Most Innovative Startup
in Los Angeles

100 Brilliant Companies to Watch

Top 10 Coolest
Big Data Companies

Top 50 Startups

One of the Most
Promising Startups in LA

Where it all started

At the age of 14, our CEO and co-founder moved to America and had his first taste of e-commerce entrepreneurship, selling everything from Gameboy games to comic books and game consoles on eBay. His deep interest in e-commerce only grew, expanding to marketing and the importance of customer retention.

Later, drawing on their experience from starting two marketing software companies, our two founders built Retention Science with the vision of empowering marketers to turn customer data into actionable insights.

This vision shifted as the industry changed, and as technology advanced. After working with dozens of e-commerce companies, sending out over one billion marketing messages, and processing more than ten billion customer signals, we realized that actionable insights didn’t always translate into actions taken. And that got us thinking.

Since then, the team at Retention Science has developed the industry’s first predictive marketing technology powered by Artificial Intelligence. Not only do we turn customer data into insights, our platform acts on those insights to maximize engagement and retention.

Data science is at our core


We’re all about AI, but when it comes to solving problems, we love going old school.

No small wonder: Our team is composed of PhDs in both Data Science and Engineering, including a lecturer at the University of Southern California and an eCommerce Marketing teacher at the Kellogg School of Management. They make it a point to routinely pull and analyze data to build out new predictive models that help eCommerce marketers predict metrics like customer lifetime value (CLV), customer future value (CFV), revenue at risk, and customer churn.

We do this because we know that arming our clients with the most accurate predictive metrics gives them an edge when it comes to retaining their valuable customers. And because we know the best technology is built by constantly iterating on how to improve.

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