Challenge
A renowned online language school offering courses in multiple languages was struggling to sell and encourage graduates to use its services again. The main problem was the lack of personalized recommendations. All graduates received the same general course suggestions in their mailings, regardless of whether they were learning German for professionals or French for beginners. Students were overwhelmed by the wide range of courses on offer and were unable to find topics that interested them.
The school decided to implement an automatic recommendation system using data on each student's preferences.
Action
- Collecting and analyzing choices
The iPresso system tracked student activity: which courses they completed, what content they viewed on the website. - Precise segmentation
Students were divided into groups based on their chosen language and skill level. - Intelligent real-time recommendations
After completing a course, the system immediately generated personalized suggestions. A graduate of a business-level Spanish course received recommendations for advanced Business Spanish courses, rather than general beginner lessons in other languages. - Omnichannel campaigns
Recommendations were sent via email, SMS, and displayed as pop-ups on the platform. - Dynamic offer adjustment
The system analyzed students' current interests and updated personalized recommendations on an ongoing basis.
Results
- Retention increased by 27%.
- Students were more likely to choose more expensive premium courses, so the language school saw a 20% increase in sales.
- Course dropouts fell by 16% as students enrolled in courses that were better suited to their needs.
