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Case Study

Recommending Online Courses

Boosting conversion rate with a tailor-made recommendation system.

Challenge

Descola is a well-established Brazilian startup offering online education. Despite having over 30,000 customers already, their conversion rate was underwhelming and, as a result, the cost of acquisition too high to enable rapid growth. It seemed like it was difficult for customers to choose from a large number of courses and we were hired to change that.

Solution

In less than one month, we developed a real-time, plug&play recommendation system that reacts to user behaviour and promptly presents courses that the user is most likely to buy, based on immediate browsing history.

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System Architecture

Technology

  • To enable real-time performance, we used a combination of K-means clustering and collaborative filtering.
  • We also weighted the algorithm to favour newer courses.

Results

22 ms

API response time

+32%

conversion rate increase

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