Specifications include, but are not limited to: •A historical analysis of student enrollment behavior, including need, academic credentials, population segments, and financial aid offers (minimally three years of data)•A competitor benchmarking study related to tuition costs and position •Analysis of first- to second-year undergraduate student retention factors and the role of financial aid in undergraduate student attrition•A review of data collection requirements and discussion to understand the university’s goals, current financial aid strategies and operations, and related enrollment practices•An econometric model to measure undergraduate student price sensitivity and the impact of current awarding strategies and other factors on enrollment behavior oIntegrate machine-learning techniques with traditional logistic regression analysis to build multiple types of models that compete against each other oIdentify the most effective and strongest-performing “champion” model most likely to net the University an overall stronger output.•Revenue optimization and simulation testing to explore the impact of alternative awarding strategies on enrollment behavior and evaluate the possible trade-offs between aid expenditures, net tuition revenue, quality, and other enrollment goals for freshmen and transfers. The alternative awarding strategies should include a model that prioritizes need-based aid and examines the potential effects on institutional differentiation in the market and the success of students from low socioeconomic backgrounds.•Student-record-level scoring to prioritize student outreach and efficiently allocate dollars at any point based on enrollment probability and receptivity to financial aid•An evaluation of aid expenditures, net tuition revenue, quality, and other enrollment goals for first-year and transfer students•Financial aid/admissions goal setting and award strategy development, including recommendations for specific policy changes•Enrollment and net revenue projections for the initially affected year and over a three-year period•Ongoing consultation to assist the University with financial aid/admissions goal setting and award strategy development, including recommendations for specific policy changes •Review of sample financial aid packages•Regular reports and phone/web conferences to track progress toward goals•A web-based, self-service reporting platform:oInteractive, customizable, and dynamic data visualizations and reportsoFiltering and drill-down reporting capabilitiesoMobile responsive
