We’re constantly evolving our product to provide more value to our customers. We’ve recently launched a new feature that allows club staffers to recommend schools to their athletes with the click of a button.
Every year, tens of thousands of athletes build a ‘favorites’ list of schools based on factors like school size, location, academic selectivity, and athletic competitiveness.
We used machine learning technology to distill this data into Netflix-like recommendations. For example, if an athlete is interested in small, high-academic schools, our algorithm will suggest schools based on the ‘favorites’ lists of athletes with similar interests.