Lead Scoring Algorithm for Student Recruitment
Lead Scoring Algorithm for Student Recruitment
Lead Scoring Algorithm for Student Recruitment
Automatically rank prospective students based on eligibility, financing, and intent with Havana's AI. Our intelligent lead scoring algorithm qualifies the right students 24/7 while your team focuses on enrollment.
Automatically rank prospective students based on eligibility, financing, and intent with Havana's AI. Our intelligent lead scoring algorithm qualifies the right students 24/7 while your team focuses on enrollment.
Automatically rank prospective students based on eligibility, financing, and intent with Havana's AI. Our intelligent lead scoring algorithm qualifies the right students 24/7 while your team focuses on enrollment.
Chloe Brunaux
Chloe Brunaux
Trusted by dozens of leading institutions
WHY HAVANA
WHY HAVANA
WHY HAVANA
WHY HAVANA
How Our Lead Scoring Algorithm Works
Educational institutions struggle to efficiently evaluate thousands of prospective students, wasting time on unqualified or unresponsive leads while missing high-potential candidates. Havana's AI-powered lead scoring algorithm automatically contacts, evaluates, and ranks applicants based on customizable qualification criteria. By filtering leads through targeted questions about academic background, financial capacity, and program interest, we ensure your team only engages with enrollment-ready students.
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
Smart Qualification Criteria
Smart Qualification Criteria
Smart Qualification Criteria
Smart Qualification Criteria
Automated Lead Scoring Algorithm
Havana meticulously evaluates leads by asking targeted questions about academic qualifications, financial capacity, and program interest. Our algorithm ensures only high-potential students reach your advisors, dramatically improving conversion efficiency.
Unlock Hidden Value
Unlock Hidden Value
Unlock Hidden Value
Unlock Hidden Value
Revive and Score Dormant Leads
Our algorithm systematically re-engages and scores old leads sitting in your CRM. By applying intelligent qualification criteria to previously abandoned prospects, Havana transforms sunk costs into valuable enrollment opportunities.
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
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
Handle Peak Recruitment Periods
Handle Peak Recruitment Periods
Handle Peak Recruitment Periods
Handle Peak Recruitment Periods
Scalable Lead Scoring On Demand
Instantly scale your scoring capacity during high-volume recruitment periods. Havana processes thousands of leads after fairs, webinars, or campaigns, ensuring every prospect is scored appropriately without overwhelming your team.
RESULTS FOR CUSTOMERS
RESULTS FOR CUSTOMERS
RESULTS FOR CUSTOMERS
RESULTS FOR CUSTOMERS
Maximize Conversion With Intelligent Scoring
Maximize Conversion With Intelligent Scoring
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 Havana's lead scoring algorithm work?
Havana's lead scoring algorithm works by automatically engaging with prospective students through calls, texts, and emails to collect qualification data. The AI asks targeted questions about academic background, financial capacity, program interest, and other customizable criteria specific to your institution's requirements. The algorithm then assigns numerical values to these responses, creating a comprehensive score that ranks leads based on their likelihood to enroll. High-scoring leads are instantly flagged for human follow-up, while the system continues nurturing lower-scoring prospects. All interaction data syncs with your CRM, providing complete visibility into the qualification process.
Can I customize the lead scoring criteria for my institution?
How does lead scoring improve admissions team efficiency?
How does the algorithm handle international student prospects?
How does Havana integrate with our existing CRM system?
How does Havana's lead scoring algorithm work?
Havana's lead scoring algorithm works by automatically engaging with prospective students through calls, texts, and emails to collect qualification data. The AI asks targeted questions about academic background, financial capacity, program interest, and other customizable criteria specific to your institution's requirements. The algorithm then assigns numerical values to these responses, creating a comprehensive score that ranks leads based on their likelihood to enroll. High-scoring leads are instantly flagged for human follow-up, while the system continues nurturing lower-scoring prospects. All interaction data syncs with your CRM, providing complete visibility into the qualification process.
Can I customize the lead scoring criteria for my institution?
How does lead scoring improve admissions team efficiency?
How does the algorithm handle international student prospects?
How does Havana integrate with our existing CRM system?
How does Havana's lead scoring algorithm work?
Havana's lead scoring algorithm works by automatically engaging with prospective students through calls, texts, and emails to collect qualification data. The AI asks targeted questions about academic background, financial capacity, program interest, and other customizable criteria specific to your institution's requirements. The algorithm then assigns numerical values to these responses, creating a comprehensive score that ranks leads based on their likelihood to enroll. High-scoring leads are instantly flagged for human follow-up, while the system continues nurturing lower-scoring prospects. All interaction data syncs with your CRM, providing complete visibility into the qualification process.
Can I customize the lead scoring criteria for my institution?
How does lead scoring improve admissions team efficiency?
How does the algorithm handle international student prospects?
How does Havana integrate with our existing CRM system?
How does Havana's lead scoring algorithm work?
Havana's lead scoring algorithm works by automatically engaging with prospective students through calls, texts, and emails to collect qualification data. The AI asks targeted questions about academic background, financial capacity, program interest, and other customizable criteria specific to your institution's requirements. The algorithm then assigns numerical values to these responses, creating a comprehensive score that ranks leads based on their likelihood to enroll. High-scoring leads are instantly flagged for human follow-up, while the system continues nurturing lower-scoring prospects. All interaction data syncs with your CRM, providing complete visibility into the qualification process.
Can I customize the lead scoring criteria for my institution?
How does lead scoring improve admissions team efficiency?
How does the algorithm handle international student prospects?
How does Havana integrate with our existing CRM system?
Implement Advanced Lead Scoring Today
Join educational institutions using Havana's AI to identify and convert their highest-potential students while saving valuable admissions team resources.
Implement Advanced Lead Scoring Today
Join educational institutions using Havana's AI to identify and convert their highest-potential students while saving valuable admissions team resources.
Implement Advanced Lead Scoring Today
Join educational institutions using Havana's AI to identify and convert their highest-potential students while saving valuable admissions team resources.
Implement Advanced Lead Scoring Today
Join educational institutions using Havana's AI to identify and convert their highest-potential students while saving valuable admissions team resources.