Customer Stories
Discover how higher education institutions
are using the Othot platform to meet
their strategic enrollment goals
Financial Aid Appeals
Enrollment grows 10%
Financial aid budget remains the same
Managing Financial Aid Appeals Process
Surface Insights
Othot developed models for a higher education institution after its initial aid allocation and to manage its appeals process. Using Sensitivity Analysis, the institution discovered which students were more sensitive to incremental aid awards.
Change Behavior
The institution evaluated each prospective student for appeal, and disbursed additional funding only when the models deemed it necessary.
Deliver Outcomes
The institution is currently on target to grow its overall enrollment by 10% compared to last year, while managing to spend the same amount of aid through the appeals process.
Continuously Improve
Othot and the higher education institution are partnering to create a financial aid matrix to inform the budget for 2019 and evaluate prospect buys.
Enrollment
Admits increase 10%
Deposits increase 20%
Grow Out-of-State Enrollment
Surface Insights
For a large public university, the Othot platform uncovered unique factors that influenced out-of-state students to enroll and created models for those markets that accounted for critical differences in behavior and performance.
Change Behavior
The University restructured its key out-of-state market recruitment approach and utilized Othot’s financial aid sensitivity to determine which students to impact with additional aid.
Deliver Outcomes
Initial results showed an increase in admits (10 percent) and deposits (20 percent) year-to-date from key out-of-state markets.
Continuously Improve
The University is taking Othot’s predictions and integrating them into its CRM to automate marketing campaigns based on the predicted likelihood scores for future prospects.
Recruiting
Increase quality & quantity in applicant pool
Maximize Recruiting & Marketing
Surface Insights
The Othot platform showed a large public university that a time-intensive recruitment tactic had little to no impact on likelihood to enroll, but phone calls from a current student and a specific email/phone cadence were very impactful.
Change Behavior
The recruitment team refocused priorities on the phone and email campaigns.
Deliver Outcomes
The platform’s predictive models provided a leading indicator that showed the University could hit its enrollment goal based on the quality and quantity in the applicant pool and could shift its efforts to converting students from the admit and deposit phases.
Continuously Improve
The large recruitment and admissions team is empowered to use the platform and prioritize their day-to-day activities versus having one user or consultant own all of the data and insights.
Marketing
Cut viewbook spending by 10%
Optimize Marketing Spend
Surface Insights
Othot’s platform showed a large public research institution which 20 percent of their purchased names would produce 90 percent of their enrollees, as well as who would respond most favorably to a viewbook.
Change Behavior
The University focused its spend on those students most impacted by a viewbook.
Deliver Outcomes
The University reduced its viewbook budget by more than 10 percent and still met its overall enrollment target and shaped the class.
Continuously Improve
The team identified their next challenge and is using the platform to help allocate merit aid.
Student Engagement
$800,000 increase in net tuition revenue
Improve Student Engagement
Surface Insights
The Othot platform revealed engagement metrics were down year-over-year for a small, private liberal arts college and that campus visits were a top indicator for yield.
Change Behavior
The College revamped its strategy to focus on driving campus visits through incentivized travel vouchers for early action students.
Deliver Outcomes
The college gained 30 additional students and $800,000 in net tuition revenue with a $32,000 investment in the travel vouchers.
Continuously Improve
The team is directing its energy to influence early action and regular decision candidates with optimized financial aid offers.
Time to Value
University gained value in 30 days
Expediting Time to Value
Surface Insights
A large public higher education institution needed to accelerate its access to predictive modeling to meet enrollment goals during a critical period in its enrollment cycle.
Change Behavior
The University and Othot collaborated to expedite the onboarding process so the University could use predictive modeling for its current class.
Deliver Outcomes
Insights from the platform showed the University that it had enough applicants in its pool and it could focus its efforts on accepted student campus visits and financial aid allocations to convert admits to deposits.
Continuously Improve
Othot is working with the University to review the financial aid appeals process and help with summer melt.