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.
Software as Service Solutions
Social & Media Analytics