Effective retention and default prevention initiatives help keep students in school, promote completion of their academic programs and encourage successful repayment of their student loans. Additional research shows that students who succeed in school are more likely to repay their student loan debt, thus reducing a school’s cohort default rate.

retentionRT^TM is a Web-based predictive modeling tool designed to enhance retention efforts by combining student survey information with historical data to identify students at risk of leaving school early. By uncovering risk factors that influence retention and student success, retentionRT provides strategic, data-driven information that can be used to guide retention planning and better focus intervention initiatives. This tool is a fee-based service, offered by Noel-Levitz, the nation's leading enrollment management consulting firm, in partnership
USA Funds^®.

retentionRT strengthens retention efforts by:

• Predicting students' likelihood to remain in school.
• Highlighting persistence risks based on students' acknowledged risk factors along with historical predictive modeling.
• Identifying retention challenges to allow schools to develop programs and strategies that raise retention rates and maximize student success.
• Offering customized recommendations for each risk factor through a school-specific model.
• Promoting and facilitating contact between students and campus officials to assist with advising efforts.
• Increasing the chances students repay their loans and avoid default.

To learn more about retentionRT, contact your USA Funds Services representative.