Conversation intelligence software records, transcribes, and analyzes sales conversations across calls, video meetings, and other customer touchpoints. By analyzing real sales conversations using artificial intelligence (AI) and natural language processing (NLP), conversation intelligence software can identify keywords and topics so users can quickly jump to those points in the recording rather than listening to the entire call.
Conversation intelligence software analyzes insights from sales conversations to identify buyer intent, deal risks, competitor mentions, and coaching opportunities, allowing leaders to extract and review these insights to turn real conversation data into actionable guidance. By transcribing and analyzing sales calls, conversation intelligence software helps sales teams understand potential buyers, improve sales rep effectiveness, ensure compliance, and drive sales efforts.
In addition to calls, many of these platforms can also analyze insights from emails and text messages to identify key signals, customer sentiment, and engagement trends. Conversation intelligence platforms often integrate with customer relationship management (CRM) software to enable seamless data sharing and workflow automation for capturing, logging, and tracking sales conversations.
Conversation intelligence software differs from AI note-taking software, which captures, transcribes, organizes, and summarizes information from meetings. Conversation intelligence software goes further by analyzing recorded conversations to identify patterns, trends, and actionable insights that help revenue teams improve performance and decision-making.
Sales coaching software is a related software product that generally offers conversation intelligence capabilities. However, it focuses less on analyzing the transcription and text of a call and more on the language, cadence, and technique of the sales representative. Additionally, sales coaching software provides separate features that allow sales representatives to view and organize sales deals in the pipeline easily.
To qualify for inclusion in the Conversation Intelligence category, a product must:
Automatically capture and transcribe sales calls into text and data that can be searched, analyzed, and shared across teams
Analyze human-to-human interactions from calls and meetings to surface meaningful insights such as key topics, themes, customer intent, or interaction patterns
Generate conversation summaries and actionable insights to help identify important moments, next steps, or performance improvement opportunities
Deliver analytics and reporting on call-level conversation metrics such as call duration, trends, and customer interaction
