Interaction Analytics

Interaction analytics goes beyond traditional call analytics by analyzing every customer touchpoint — calls, chats, emails, social media, and messaging — through a unified lens. AI processes the content of these interactions using NLP to identify topics, detect sentiment, measure effort, and extract actionable insights. Key capabilities include automatic topic categorization (understanding what customers are asking about), root cause analysis (identifying why customers are contacting support), sentiment trending (tracking how customer mood changes over time), compliance monitoring (detecting policy violations across channels), and competitive intelligence (identifying when customers mention competitors).

For support leaders, interaction analytics provides a data-driven understanding of the customer experience that goes far beyond traditional metrics like handle time and CSAT.