Trusted by dozens of leading institutions
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.
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
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.
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Havana AI
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
Students engaged
Increase in conversion
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
"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
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?
