Othot’s Alumni Engagement and Development Analytics provides a deeper understanding of your alumni relationships. Our AI-powered solution identifies which alumnus are most likely to engage and to donate to your college or university. With that intelligence, you can develop more targeted campaigns to strengthen relationships and drive donations.
View predictions and prescriptions at the alumnus level and see what’s influencing their likelihood to engage or donate scores.
Visualize data and predictions to quickly understand alumni interactions and share with key stakeholders.
Use prescriptive analytics to see which actions will have the greatest impact on an individual’s likelihood to donate, join an alumni association, or other engagement metric.
Our models are built just for your institution and your data. Models update as new data is made available, providing real-time predictions and prescriptions.
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An Othot advisor will give you a tour of the product and show you key features in the platform.
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After you sign the contract, our Customer Success Team will get you set up in the platform. This process can be completed in as little as 60 days.
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Our Customer Success team will help you get the most out of Othot’s intuitive platform so you can meet your goals.
Othot’s platform was created to take the cost and complexity out of predictive and prescriptive analytics. Our models are custom built and identify which individuals are most likely to donate and engage with a school after graduation and how to influence that likelihood. We build and deliver our models quickly, so you’re up and running in weeks.
Typically, we onboard customers in 60 to 120 days. We work with our customers to create a timeline that fits their needs.
Othot’s platform is cloud-based. You can access it 24/7 from anywhere on any device that has an internet connection and web browser.
No, our models are customized for each institution. The first step in our process is to identify the “High Impact Questions” (HIQs) that matter most for your school, such as, “What is the likelihood that a student will enroll?” Then our team creates a machine learning model built around answering that question. Othot’s predictive engines also combine a school’s historical data with external data and can be customized to create predictions for a school’s unique “What-If” scenarios, such as specific campus visit types or scholarships.
This proprietary approach produces predictive intelligence that offers a more comprehensive solution than other analytic programs.