What is Conversational Intelligence?
Conversational intelligence tools track and review customer interactions, allowing customer-facing teams to form a deeper understanding of their conversations with prospects. Conversation intelligence software can record, transcribe, and analyze phone calls, social media conversations, email exchanges, SMS, and more. By capturing data in real time, these tools provide invaluable feedback that sheds light on how to improve customer engagement and sales outcomes.
How does Conversational Intelligence work?
A conversational intelligence platform uses machine learning and artificial intelligence to record voice and text data and combine it with sentiment analysis to understand emotional intent. Using these powerful technologies, conversational intelligence technology can recognize patterns and then predict current and future buyer needs. It also offers recommendations to reps that they can use to drive intelligent conversations — effective communication that increases the value of prospect interactions. The marketplace is taking note of this powerful new tool: according to MarketsandMarkets, the conversational AI market is predicted to reach over $12 billion by 2026.
Let’s look at a few of the key features of conversational AI software:
- Call recording: The ability to capture interactions and transcribe them to create a record of every transaction is a central feature of conversational intelligence. Beyond just providing reps with a clear reference for each conversation (and the key points that came up), this supports training and coaching initiatives, enabling managers to review past interactions and coach reps on improvement.
- Transcription: Conversational intelligence software can transcribe audio into text instantly, making it easier to review conversations, search for critical messaging, and even share with others for feedback. These transcriptions also serve as valuable resources for performance reviews and training, because they provide a tangible record that a manager can refer to when assessing strengths and weaknesses.
- Real-time analysis: The technology also works to collect helpful data points, analyzing language patterns, keyword usage, and conversation pacing to offer a comprehensive view of the interaction. In addition to analyzing calls after they happen, some tools even provide real-time insights, identifying emotions like confusion or hesitancy that the sales rep could address in the moment.
Ready to dig in? See G2’s list of top conversational intelligence software providers to get more information about different options available.
Did you know?
Experts predict the conversational AI market will exceed $12 billion by 2026.
Why is Conversational Intelligence important?
Today’s buyers crave genuine interactions. It’s not just about making a quick sale or answering a question; they want to feel heard and understood. For reps, this means a fundamental shift from transactional interactions toward genuine relationship-building. To do this effectively, sellers need more than just good instincts — they need conversational intelligence.
To remain competitive, customer-facing teams can’t afford to overlook conversational intelligence. Gartner predicts that advanced analytics will become common and top sales organizations will leverage data from buyer interactions to build winning engagement models.
Conversational intelligence drives modern selling by taking away a lot of guesswork. By focusing on customer-facing interactions, organizations may experience the following benefits:
Deep insights
Conversational intelligence pulls out actionable information from past conversations, shedding light on buyer sentiments and needs. This makes it easier for teams to craft outreach (and tweak their approaches) for each individual prospect.
Continuous learning
By pinpointing areas of improvement, these tools help reps become more effective throughout the various stages of the sales cycle .With data at their fingertips on what has worked in the past — not just for them, but for other reps as well — they can quickly upskill and grow their contribution to the team.
Replace intuition with data
With only a gut feeling to go by, understanding why a customer chose to go with a competitor can be challenging. Conversational intelligence provides real data that can help inform more accurate learnings about successful and failed deals.
Predictive selling
Instead of being reactive, teams can be proactive, as conversational intelligence tools help uncover customer needs (even before they are voiced by the customer). This foresight allows sales teams to anticipate concerns and address them preemptively, streamlining the sales process.
Make the Most of Meetings with AI
How to use Conversational AI
Every conversation holds clues to better performance and, ultimately, more closed deals. Conversational intelligence allows reps and go-to-market (GTM) leaders to tap into these interactions regularly, with a clear roadmap to optimize strategies and improve overall team performance.
Here’s a look at some of the use cases for conversational intelligence among sales teams:
Review interactions at scale
From managing team performance to organizational reporting, sales managers are exceptionally busy, leaving little time to review calls between reps and their prospects. Auto-generated summaries help managers easily identify key phrases, messaging, and content that were used in meetings. This enables managers to review many interactions quickly and get a clear picture of team performance without lengthy individual reviews.
Update sales methodology
What worked yesterday might not work today. By tapping into conversational intelligence, leaders can identify what drives positive outcomes and what doesn’t. They can use this to regularly update playbooks and enablement strategies based on real, solid data.
Improve and reinforce training
Every team has its strengths and gaps. With insights pulled from call data, leaders can see where the team could use more education or support. Whether it’s a product refresher or mastering a sales approach, managers will know precisely where to target training.
Deliver personalized coaching
84% of leaders told Seismic that more training, coaching, or upskilling could help them close more deals. Conversation intelligence helps managers pinpoint the strengths and areas of growth for each rep, allowing for tailored coaching that makes a meaningful impact.
Replicate success across the team
Got a team member who’s knocking it out of the park? With conversational intelligence, you can spotlight the tactics or habits that high performers use and share them with the entire team. This collaborative approach not only celebrates success but also creates a culture of shared growth and learning — and that can improve retention down the road.
Gauge the effectiveness of content and messaging
It’s not just about clicks or downloads — it’s about the people. With a closer look at buyer preferences and behaviors through conversational intelligence, teams can understand what customers really want and like. By tracking specific keywords, topics, and questions, marketing teams have end-to-end visibility into the performance of their content and messaging and the insights to iterate and improve.
Harness the power of AI.
Empower effective engagement with Seismic
Conversational intelligence is just one of the many AI innovations that are transforming the enablement space. Seismic’s generative AI capabilities accelerate every aspect of go-to-market activities so customer-facing teams can move faster, engage effectively, and close more deals. Learn how The Seismic Enablement CloudTM incorporates AI to help teams deliver smarter content, proactive enablement, and focused training and coaching. Or, get a demo to see AI in action.
