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Retention Analytics2019-06-24T12:54:37-04:00

Retention Analytics

Transform your data into actionable insights to identify which students are at-risk. See how easy it is with Othot.

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Retention starts at Enrollment

Identify which students are at-risk and
the most impactful form of intervention

Othot’s Retention Analytics is a cloud-based solution designed to support your student retention and success programs. Our custom models are built to meet the unique needs of your institution, leveraging your data so you can precisely target at-risk students.

Platform Features

Getting Started


Schedule your demo

An Othot advisor will give you a tour of the product and show you key features in the platform.


Complete the onboarding process

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 30 days.


Use the tools to gain insights

Our Customer Success team will help you get the most out of Othot’s intuitive platform so you can meet your goals.

Customer Success

Higher Education Retention Analytics

Indicators for student retention

One of our customers is using the Othot platform to predict the likelihood for student success and retention. Insights from the platform revealed that for previously enrolled students, basic requirements of academic success in the first year were an indicator for student retention. The finding prompted the institution to begin evaluating applied and admitted students on both their enrollment likelihood and on their expectation for success and retention.

View more customer stories ⇒


Frequently Asked Questions

Why should I choose Othot’s Retention Analytics?2018-05-15T19:15:49-04:00

Othot’s platform was created to take the cost and complexity out of predictive analytics. Our models are built from scratch for each customer to identify which students are most likely to persist and which interventions are predicted to increase the probability of graduation. We build and deliver our models quickly, so you’re up and running in weeks, not years.

Are the models you build the same for each institution?2018-05-06T20:39:27-04:00

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.

What kind of data do you need to create models in the Othot platform?2018-05-15T19:11:13-04:00

We recommend that you have two to three years of historical data student data to build a model. In addition, we also source external data to build your models. External data includes demographic, socio-economic, geographic, environmental and behavioral.

How often is the platform updated?2018-05-15T19:12:51-04:00

We release updates to our software several times a year and schedule the updates to minimize disruptions to our customers. We communicate with our customers often about the new releases and provide detailed instructions and notes on all new features in the platform.