Our approach combined qualitative and quantitative research methods:
Group Sessions and Participant Observation: We gathered insights into clients' lifestyles, digital engagement, and channel usage.
Quantitative Data Analysis: We examined the extent and nature of digital channel use in clients' daily lives.
Cluster Analysis: We mapped the new client groups against existing archetypes and defined four new clusters.
The project delivered a robust data-driven model that provided detailed insights into client behavior across different service channels. This model enabled Protección to adapt its strategies, enhancing engagement and meeting the evolving needs of clients. The integration of qualitative and quantitative data facilitated a more nuanced understanding of client preferences, leading to improved service delivery and strategic alignment.