The main objective for UNIR was to improve the conversion rate on its website by effectively leveraging historical browsing data. A solution was needed that could analyse this data to identify which content generated the most interest and drove the highest conversions, as well as a strategy to personalise the user experience.

Solution:

We carried out an analysis of historical data to develop a predictive model that personalises the content on UNIR’s website according to each visitor’s profile. This was complemented by a conversational assistant that guided users through the process, resolving any queries and proactively collecting the necessary information to convert leads.

These solutions led to a significant increase in student acquisition and a notable reduction in costs through the automation of the commercial process: we achieved a dramatic improvement in the conversion rate (from 3.01% to 8.12%), a reduction in conversion time (from 2.1 days to 6 hours), over 4,000 real conversations per month in Mexico, and the solution was implemented in just 3 months.