Online schools have poor student retention rates, with only 25% of students completing online courses. Currently, student retention personnel rely on reactive approaches to identify at-risk students. Aspire Analytics aims to provide predictive analytics to identify students most likely to drop out based on key performance indicators like login frequency, assignment submissions, grades, and communication with instructors. The dashboard ranks students by dropout risk and allows drilling down to see contributing risk factors. This helps retention staff prioritize outreach to students most in need of support.