Financial institutions often use disparate processes to track client satisfaction and improve client retention.
Goals and Objectives
Sentiment analytics of voice, email, and SMS data help identify dissatisfied investment clients and improve client retention rates.
Real-time data and analytics to predict client attrition, AI, NLP-sourced data (natural language processing)
Use Case Summary
Sentiment analytics enables institutions to react prior to client attrition event.