Integrate AI into the admissions process
The use of artificial intelligence in student recruitment campaigns
Client
One of the biggest universities in Mexico.
Sector
Education
Time
3 weeks
Results at a glance
398%
The conversion of Rating A leads is 398% greater than the average total conversion of Univer Milenium
1 in 4
1 of 4 Rating A leads becomes an enrolment
30x
Rating A leads have a 30x greater conversion rate
The customer's need
- Lead management: Due to steady growth in recent years, Univer Milenium needs a lead scoring solution to be able to prioritise its commercial focus towards the leads that are most likely to become students.
- Reduce sales team costs: Univer Milenium was looking for a solution that would allow it to effectively process leads without having to increase the size of the team.
Our objective
1.
Segmentation
Split up users based on interest in enrolment.
2.
Adapt
Adapt differentiated marketing strategies for each segment.
3.
Optimize
Improve campaigns and sales channels based on segmentation.
4.
Increase
Increase registrations without reducing the volume of leads processed.
The data of our success
How to apply lead scoring in admissions operations
Every day, Univer Milenium receives the qualification of leads generated based on the probabilities of registration.
Assign leads based on qualification, so advisers can prioritise their actions and business efforts towards leads that are more likely to register.
Segmentation performed by the lead scoring algorithm
After analysing UniverMilenium's history of leads and registrations, a lead scoring algorithm was developed to predict which leads are most likely to convert and increase registrations. Leads are segmented into ratings based on probability of registration.
The conversion of Rating A leads is 398% greater than the average total conversion of Univer Milenium 1 of 4 Rating A leads becomes a registration
Results of applying it in the admissions process
30% increase in conversion due to the effect of lead prioritisation
Español