Sentiment Analysis for Insurance Calls

Call sentiment analysis uses AI to detect and measure the emotional tone of phone conversations in real-time. It analyzes voice patterns, word choice, and conversational dynamics to determine whether a call is positive, negative, or neutral—and how sentiment changes throughout the conversation.

Sentiment analysis helps agents identify when prospects are engaged vs. losing interest, detect frustration before it leads to hang-ups, spot buying signals, and measure customer satisfaction without post-call surveys. Supervisors can prioritize coaching based on sentiment trends.

AgentTech's sentiment analysis achieves 85-90% accuracy by combining linguistic analysis (what's said) with acoustic analysis (how it's said—tone, pace, volume). This dual approach is more accurate than text-only sentiment analysis.

Yes. Every call in AgentTech includes a sentiment timeline showing how sentiment changed throughout the conversation. This helps identify which parts of the script engage prospects and which cause friction—enabling targeted coaching and script optimization.