Sentiment Analysis
for Insurance Calls

Know how your prospect feels in real-time. AI-powered sentiment analysis detects customer emotions during calls, helping agents adjust their approach and close more sales.

Real-time Emotion Detection $50/seat
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What is Call Sentiment Analysis?

Sentiment analysis uses AI to detect emotional cues in voice—tone, pace, word choice—to gauge whether a customer is interested, frustrated, confused, or ready to buy. This insight helps agents tailor their approach in real-time.

For insurance sales, sentiment analysis can identify when a prospect is losing interest, allowing agents to pivot their pitch before the opportunity is lost.

Live Coaching: AgentTech displays sentiment indicators during calls, giving agents visual cues to adjust their approach on the fly.

Sentiment Analysis Features

Understand your customers at a deeper level.

  • Real-time sentiment scoring during calls
  • Visual indicators for agents
  • Post-call sentiment reports
  • Trend analysis across campaigns
  • Integration with coaching cards

Emotional Intelligence

Live
Detection
Visual
Indicators
AI
Powered

Frequently Asked Questions

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.

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