Case study

Universidad Insurgentes (UIN), committed to academic excellence and innovation in its processes, implemented an advanced Lead Scoring system with Artificial Intelligence to optimize its student recruitment efforts. This initiative focused on identifying and prioritizing the lead segments with the highest probability of conversion, allowing the university to focus its resources more efficiently and strategically.

​

By adopting advanced predictive algorithms, Universidad Insurgentes was able to accurately identify the behaviors and patterns of the leads most likely to convert into enrolled students. This technology not only enabled detailed, real-time tracking of the most convertible leads, but also facilitated accurate measurement of the effort required to maximize conversions.

​

One of the highlights of this implementation is the system's ability to adjust strategies based on variations in conversion and contact rates. Instead of applying a uniform approach to the entire lead base, the university can now segment its efforts more effectively, focusing on those groups that show the greatest opportunity for conversion at each stage of the lead cycle.

​

As a result, UIN has achieved greater efficiency in its marketing campaigns and in the efforts of its admissions team. The ability to target the highest potential segments has not only increased conversion rates, but also optimized the use of resources, allowing the university to maintain a competitive advantage in an increasingly dynamic educational environment.

​

This success story demonstrates how the integration of Artificial Intelligence into Lead Scoring processes can radically transform the recruitment strategy, maximizing ROI and improving enrollment results. UIN continues to lead with innovation, using cutting-edge technology to attract and retain the best academic talent.