Machine learning,
built for enrollment.

Admissions teams can spend up to 50% of their time scrambling to determine how to most effectively allocate their time.

Stages, profiles and predictive lead scores are the old; enroll ml's daily machine learning driven behavioral pattern recognition is the new.

Say goodbye to wasted hours and hello to streamlined processes that maximize your enrollment team's efficiency and effectiveness.

Why our partners trust us

We're moving fast to improve enrollment team performance across America. Is your institution next?

Enroll ml saves me an immense amount of time - and directs the team’s focus with more precision than I ever could have with the contemporary tools and techniques.

Vice President of Admissions

Within 3 weeks of using enroll ml, the admissions team’s morale rose to the highest I’ve ever seen it.

Director of Recruiting

On day 3 of using enroll ml it identified 3 highly engaged students who were completely off of our radar - and we promptly reached out to them and enrolled all three.

Director of Recruiting

I kept my eye on enroll ml for over a year - and when I moved into my new position and began an enrollment team transformation, I brought enroll ml right in.

Vice President Admissions

I asked my Director if we really needed to renew enroll ml, and his response was “Are you kidding me?! We’re big fans.

Vice President of Marketing and Admissions

Enroll ml was so impactful so quickly for our adult / online population that we immediately deployed a 2nd engine for our traditional undergrad.

Vice President, Admissions

Enroll ml seemed too good to be true - but it was everything that they said, and more.

Vice President for Enrollment Management

We challenged enroll ml to help us reduce our melt rate - and it delivered.

Executive Director of Undergraduate Admissions

Enroll ml was the foundation that guided our team to beat our enrollment objectives for the first time in 3 years.

Director of Recruiting

Enroll ml saves me an immense amount of time - and directs the team’s focus with more precision than I ever could have with the contemporary tools and techniques.

Vice President of Admissions

Within 3 weeks of using enroll ml, the admissions team’s morale rose to the highest I’ve ever seen it.

Director of Recruiting

On day 3 of using enroll ml it identified 3 highly engaged students who were completely off of our radar - and we promptly reached out to them and enrolled all three.

Director of Recruiting

I kept my eye on enroll ml for over a year - and when I moved into my new position and began an enrollment team transformation, I brought enroll ml right in.

Vice President Admissions

I asked my Director if we really needed to renew enroll ml, and his response was “Are you kidding me?! We’re big fans.

Vice President of Marketing and Admissions

Enroll ml was so impactful so quickly for our adult / online population that we immediately deployed a 2nd engine for our traditional undergrad.

Vice President, Admissions

Enroll ml seemed too good to be true - but it was everything that they said, and more.

Vice President for Enrollment Management

We challenged enroll ml to help us reduce our melt rate - and it delivered.

Executive Director of Undergraduate Admissions

Enroll ml was the foundation that guided our team to beat our enrollment objectives for the first time in 3 years.

Director of Recruiting

Say hello to
machine learning
precision enrollment

In the depths of your CRM data, your prospective students are sending you unbelievably clear signals of their willingness to engage and their intent to enroll. Up to now, these deep behavioral patterns of enrollment have been left unseen and untraceable.

This changes with enroll ml. We identify them, we monitor them, and we guide your counselors to react.

Enrollment teams who use enroll ml move through every day knowing where to spend time, and where not to. They spend more time with the precise students that can improve yield and reduce melt. They achieve more victories, and their morale improves.

We snap quickly and simply into your CRM and use customized AI to pinpoint dynamic behavioral patterns that indicate enrollment opportunities and risks, and translate these findings into straightforward daily counselor guidance.  And this happens every single day. This is machine learning precision enrollment.

How it works

1

The beginning

enroll ml takes predictive lead scoring to the next level to improve enrollment team performance. We review your CRM engagement data using custom AI to pinpoint real-time combinations of behavioral signals that indicate the most promising enrollment opportunities for each student.

2

Night

At night, we crunch the data, analyzing thousands of data elements to determine how prospective students are self-organizing based on their interest and intent levels.

3

Morning

By morning, enroll ml has analyzed, organized, and prioritized your entire funnel down to the  counselor level - providing each individual counselor with their own personalized funnel dashboard to prioritize, guide and direct their daily outreach.

How enroll ml makes your admissions teams more precise, efficient, effective, and confident

Admissions Leaders

Admissions Leaders

Admissions Counselors

Admissions Counselors

Institutions

Quotes
We expected our enrollment improvement with enroll ml. But what we didn't expect was that within 3 weeks of launch, our admissions team’s morale rapidly rose to the highest that I have seen in my time at Columbia College Missouri.

Elizabeth Kirby, Senior Director of Recruitment, Columbia College Missouri

Read all about it at Inside Higher Ed
Quotes

One of the easiest ROI’s
in higher education

Leading higher education ed-tech research group, the Tambellini Group, recently spoke with two enroll ml customers to provide an unbiased, honest and independent review of the use and impact of enroll ml. See what they found, below.

Tambellini Group case study highlights how Columbia College Missouri utilizes enroll ml's AI-driven platform to boost enrollment performance, team efficiency and morale

Tambellini Group case study identifies enroll ml as a significant component of Drew University's enrollment performance transformation

Join us today and start your journey to success!

Book a meeting