Conversation Analytics
Definition
Conversation analytics is the measurement and analysis of quantifiable patterns in sales conversations — talk-time ratios, question frequency, topic duration, monologue length, response times, and engagement indicators. While conversation intelligence focuses on extracting qualitative insights (objections, sentiments, themes), conversation analytics provides the numerical metrics that enable comparison, benchmarking, and trend tracking.
Why Measuring Conversations Drives Measurable Improvement
You cannot improve what you cannot measure. Conversation analytics provides the metrics that make sales conversations measurable: how much do reps talk versus listen? How many questions do they ask? How long are their monologues? How quickly do they respond to objections? These metrics create a baseline for coaching, a way to measure improvement, and a mechanism for comparing performance across reps and over time. For agencies, conversation analytics turns subjective assessments of "good" and "bad" calls into objective, actionable data.
How Callbricks Helps
Callbricks provides comprehensive conversation analytics across your call archive. Track talk-time ratios, question frequency, topic patterns, and engagement metrics for every rep and every deal stage. Use these analytics to identify coaching opportunities, measure training effectiveness, and benchmark performance.
Key Takeaways
- 1.Conversation analytics provides quantifiable metrics that make call quality measurable and coachable.
- 2.Key metrics include talk-time ratio, question frequency, monologue length, and topic distribution.
- 3.Analytics enable comparison across reps, deal stages, and time periods to identify patterns.
- 4.The combination of analytics (numbers) and intelligence (insights) provides the complete conversation picture.
Frequently Asked Questions
Put Conversation Analytics Into Practice
Callbricks helps agencies apply these concepts with real data from their sales calls. Start mining your call archive today.