Glossary
Conversation Intelligence
AI technology that analyzes customer conversations across voice and messaging to surface insights, sentiment patterns, and conversion signals.
What Is Conversation Intelligence?
Conversation intelligence is an AI powered technology that analyzes every customer conversation across voice calls, SMS, RCS, and webchat to extract actionable business insights. Unlike traditional call recording or basic analytics dashboards, conversation intelligence uses natural language processing and machine learning to understand what customers are saying, how they feel, and what drives them to convert or disengage.
How Conversation Intelligence Works
The technology processes conversations in real time or post call, transcribing audio to text and then applying multiple layers of AI analysis. This includes sentiment detection (positive, negative, neutral), topic extraction (what subjects came up), intent classification (what the customer wanted), and conversion signal identification (buying indicators, objections, competitor mentions).
Advanced platforms like Plura AI go beyond basic analytics by offering a Semantic Query Engine that lets business owners ask questions about their conversation data in plain English. Instead of navigating pre built dashboards, users can ask specific questions like "What percentage of inbound calls mentioned price objections this week?" and receive instant, precise answers.
Key Capabilities
- Automated transcription and analysis of 100% of conversations across all channels
- Real time sentiment analysis that tracks emotional shifts throughout a conversation
- Conversion signal detection including buying intent, competitor mentions, and objection patterns
- Agent performance scoring based on script adherence, resolution rates, and customer satisfaction
- Natural language querying through a semantic search engine that understands business questions
Why It Matters
Most businesses only review a small sample of their conversations, typically under 5%. Conversation intelligence changes this by analyzing every single interaction automatically. This means trends, problems, and opportunities that would otherwise go unnoticed are surfaced immediately. Teams can identify why leads are dropping off, which talk tracks convert best, and what topics drive the most customer friction, all without manual review.