Machine Learning in Student Outreach for Higher Enrollment
Machine Learning in Student Outreach for Higher Enrollment
Machine Learning in Student Outreach for Higher Enrollment
Havana's AI automates student engagement with machine learning to boost enrollment rates. Our system contacts, qualifies, and nurtures leads 24/7 so your admissions team can focus exclusively on enroll-ready students.
Havana's AI automates student engagement with machine learning to boost enrollment rates. Our system contacts, qualifies, and nurtures leads 24/7 so your admissions team can focus exclusively on enroll-ready students.
Havana's AI automates student engagement with machine learning to boost enrollment rates. Our system contacts, qualifies, and nurtures leads 24/7 so your admissions team can focus exclusively on enroll-ready students.



Chloe Brunaux



Chloe Brunaux
Trusted by dozens of leading institutions
WHY HAVANA
WHY HAVANA
WHY HAVANA
WHY HAVANA
Transform Student Recruitment with Machine Learning
Admissions teams face overwhelming volumes of student inquiries, with many leads going cold due to delayed responses or insufficient follow-up. This creates a frustrating cycle of missed opportunities and wasted resources. Havana's machine learning technology revolutionizes this process by intelligently engaging prospects across all channels, qualifying them based on your criteria, and only forwarding the most promising candidates to your human advisors.
Qualified leads
1280
40%

Qualified
Entry requirements met

Qualified
Entry requirements met

Not qualified
Entry requirements not met
Qualified leads
1280
40%

Qualified
Entry requirements met

Qualified
Entry requirements met

Not qualified
Entry requirements not met
Qualified leads
1280
40%

Qualified
Entry requirements met

Qualified
Entry requirements met

Not qualified
Entry requirements not met
Qualified leads
1280
40%

Qualified
Entry requirements met

Qualified
Entry requirements met

Not qualified
Entry requirements not met
AI-Powered Assessment
AI-Powered Assessment
AI-Powered Assessment
AI-Powered Assessment
Smart Lead Qualification
Havana meticulously pre-qualifies leads using machine learning to assess academic background, financial capacity, and eligibility. This ensures your advisors only interact with high-potential students most likely to enroll.
Handle Peak Seasons Effortlessly
Handle Peak Seasons Effortlessly
Handle Peak Seasons Effortlessly
Handle Peak Seasons Effortlessly
Scale Outreach Instantly
Machine learning enables instant scaling to manage sudden lead surges from recruitment events or campaigns. Contact thousands of prospects per day without hiring temporary staff, ensuring no opportunity is missed.
Calls
1280
40%

Wants Callback
Free tomorrow at 10am

Interested
Booked consultation

Not qualified
Entry requirements not met
Calls
1280
40%

Wants Callback
Free tomorrow at 10am

Interested
Booked consultation

Not qualified
Entry requirements not met
Calls
1280
40%

Wants Callback
Free tomorrow at 10am

Interested
Booked consultation

Not qualified
Entry requirements not met
Calls
1280
40%

Wants Callback
Free tomorrow at 10am

Interested
Booked consultation

Not qualified
Entry requirements not met

Havana AI

Emma Sweeney
BSc Chemistry
Unresponsive

Maxime James
BSc Finance
Unresponsive

Jessica Newton
BSc Computer Science
Unresponsive

Havana AI

Emma Sweeney
BSc Chemistry
Unresponsive

Maxime James
BSc Finance
Unresponsive

Jessica Newton
BSc Computer Science
Unresponsive

Havana AI

Emma Sweeney
BSc Chemistry
Unresponsive

Maxime James
BSc Finance
Unresponsive

Jessica Newton
BSc Computer Science
Unresponsive

Havana AI

Emma Sweeney
BSc Chemistry
Unresponsive

Maxime James
BSc Finance
Unresponsive

Jessica Newton
BSc Computer Science
Unresponsive
Recapture Lost Opportunities
Recapture Lost Opportunities
Recapture Lost Opportunities
Recapture Lost Opportunities
Revive Unresponsive Leads
Our machine learning system systematically re-engages dormant leads in your CRM through intelligent, multi-touch campaigns, converting previously abandoned prospects into qualified opportunities.
RESULTS FOR CUSTOMERS
RESULTS FOR CUSTOMERS
RESULTS FOR CUSTOMERS
RESULTS FOR CUSTOMERS
Real Results for Educational Institutions
Real Results for Educational Institutions
100K+
100K+
100K+
Students engaged
10%
10%
10%
Increase in conversion
250+
250+
250+
Man days saved a year
TESTIMONIALS
TESTIMONIALS
TESTIMONIALS
TESTIMONIALS
Don’t just take our word for it
"The results have been pretty incredible. Usually our teams are skeptical of tech, but for Havana, different teams were fighting to be the first to get it."

Bryan Palmer, Chief Commercial Officer EMENA, Global University Systems
"The results have been pretty incredible. Usually our teams are skeptical of tech, but for Havana, different teams were fighting to be the first to get it."

Bryan Palmer, Chief Commercial Officer EMENA, Global University Systems
"The results have been pretty incredible. Usually our teams are skeptical of tech, but for Havana, different teams were fighting to be the first to get it."

Bryan Palmer, Chief Commercial Officer EMENA, Global University Systems
"The results have been pretty incredible. Usually our teams are skeptical of tech, but for Havana, different teams were fighting to be the first to get it."

Bryan Palmer, Chief Commercial Officer EMENA, Global University Systems
"Within 2 months, we got conversions. The AI got students who had abandoned their applications to start talking again. It ended up converting leads we had given up on."

Pia Horner, Assoc Director & Head of Student Recruitment, University of Europe for Applied Sciences
"Within 2 months, we got conversions. The AI got students who had abandoned their applications to start talking again. It ended up converting leads we had given up on."

Pia Horner, Assoc Director & Head of Student Recruitment, University of Europe for Applied Sciences
"Within 2 months, we got conversions. The AI got students who had abandoned their applications to start talking again. It ended up converting leads we had given up on."

Pia Horner, Assoc Director & Head of Student Recruitment, University of Europe for Applied Sciences
"Within 2 months, we got conversions. The AI got students who had abandoned their applications to start talking again. It ended up converting leads we had given up on."

Pia Horner, Assoc Director & Head of Student Recruitment, University of Europe for Applied Sciences
"We sometimes receive 1000s of leads from student fairs. It's hard for us to follow-up with all of them quickly, but Havana's AI increases our speed-to-lead dramatically, boosting conversion rates."

Director of Student Recruitment, Top-50 Business School
"We sometimes receive 1000s of leads from student fairs. It's hard for us to follow-up with all of them quickly, but Havana's AI increases our speed-to-lead dramatically, boosting conversion rates."

Director of Student Recruitment, Top-50 Business School
"We sometimes receive 1000s of leads from student fairs. It's hard for us to follow-up with all of them quickly, but Havana's AI increases our speed-to-lead dramatically, boosting conversion rates."

Director of Student Recruitment, Top-50 Business School
"We sometimes receive 1000s of leads from student fairs. It's hard for us to follow-up with all of them quickly, but Havana's AI increases our speed-to-lead dramatically, boosting conversion rates."

Director of Student Recruitment, Top-50 Business School
Frequently asked questions
How does machine learning improve student outreach effectiveness?
Machine learning dramatically improves student outreach by analyzing patterns in prospect engagement to determine the optimal time, channel, and messaging for each individual. Havana's AI system learns from every interaction to continuously refine its approach. Unlike traditional outreach methods, machine learning enables personalized, consistent engagement at scale. It can simultaneously manage thousands of conversations across multiple channels (calls, texts, emails) while qualifying prospects based on your specific criteria, ensuring your human team only spends time with the most promising candidates.
What data does Havana's machine learning system use to qualify student leads?
How does Havana integrate with our existing recruitment systems?
Can machine learning help us reach international students more effectively?
How does machine learning help during peak application seasons?
How does machine learning improve student outreach effectiveness?
Machine learning dramatically improves student outreach by analyzing patterns in prospect engagement to determine the optimal time, channel, and messaging for each individual. Havana's AI system learns from every interaction to continuously refine its approach. Unlike traditional outreach methods, machine learning enables personalized, consistent engagement at scale. It can simultaneously manage thousands of conversations across multiple channels (calls, texts, emails) while qualifying prospects based on your specific criteria, ensuring your human team only spends time with the most promising candidates.
What data does Havana's machine learning system use to qualify student leads?
How does Havana integrate with our existing recruitment systems?
Can machine learning help us reach international students more effectively?
How does machine learning help during peak application seasons?
How does machine learning improve student outreach effectiveness?
Machine learning dramatically improves student outreach by analyzing patterns in prospect engagement to determine the optimal time, channel, and messaging for each individual. Havana's AI system learns from every interaction to continuously refine its approach. Unlike traditional outreach methods, machine learning enables personalized, consistent engagement at scale. It can simultaneously manage thousands of conversations across multiple channels (calls, texts, emails) while qualifying prospects based on your specific criteria, ensuring your human team only spends time with the most promising candidates.
What data does Havana's machine learning system use to qualify student leads?
How does Havana integrate with our existing recruitment systems?
Can machine learning help us reach international students more effectively?
How does machine learning help during peak application seasons?
How does machine learning improve student outreach effectiveness?
Machine learning dramatically improves student outreach by analyzing patterns in prospect engagement to determine the optimal time, channel, and messaging for each individual. Havana's AI system learns from every interaction to continuously refine its approach. Unlike traditional outreach methods, machine learning enables personalized, consistent engagement at scale. It can simultaneously manage thousands of conversations across multiple channels (calls, texts, emails) while qualifying prospects based on your specific criteria, ensuring your human team only spends time with the most promising candidates.
What data does Havana's machine learning system use to qualify student leads?
How does Havana integrate with our existing recruitment systems?
Can machine learning help us reach international students more effectively?
How does machine learning help during peak application seasons?
Implement Machine Learning in Your Recruitment
Join forward-thinking institutions using AI to transform their student outreach and dramatically improve enrollment outcomes.

Implement Machine Learning in Your Recruitment
Join forward-thinking institutions using AI to transform their student outreach and dramatically improve enrollment outcomes.

Implement Machine Learning in Your Recruitment
Join forward-thinking institutions using AI to transform their student outreach and dramatically improve enrollment outcomes.

Implement Machine Learning in Your Recruitment
Join forward-thinking institutions using AI to transform their student outreach and dramatically improve enrollment outcomes.









