Customers don’t always take the time to fill out surveys, but that doesn’t mean they’re not telling you how they feel. In fact, most organizations have a vast amount of customer feedback at their disposal—but it’s often scattered across siloed channels, like emails, support tickets, voice calls, and interactions with AI agents.
When these conversations remain disconnected, teams can’t spot patterns at scale, causing them to miss emerging opportunities or critical signals of dissatisfaction. But manually reviewing every interaction to find trends is impossible for busy teams, while most traditional analytics tools aren’t equipped to handle unstructured qualitative data.
This is where conversational intelligence comes in. Proactive, customer-centric teams use conversation intelligence (CI) tools to capture and analyze omnichannel feedback from 100% of conversations and use AI to find patterns, like contact drivers, trending topics, and customer sentiment. With the right CI tool, your business can turn fragmented conversation data into actionable insights, fueling everything from product improvements to marketing campaigns.
In this article, you’ll learn:
6 of the most popular conversation intelligence tools on the market
What features and capabilities to look for
Why connecting feedback with behavioral insights is the key to maximizing your customer experience (CX) strategy
Key insights
Most conversation intelligence tools zoom in on one use case, like sales or support, but these can keep valuable insights siloed. For maximum value, make conversation data accessible across product, marketing, and customer experience teams to unlock more opportunities to improve CX and deliver business-wide results.
If a tool only analyzes a small sample of conversations or a few channels, you risk missing important context or rare but high-impact edge cases. Look for 100% coverage that consolidates data from multiple channels to ensure you’re getting the full picture.
Conversation insights are powerful, but they only give one side of the story. Always validate them with behavioral data like session replays or journey analysis to ensure you fully understand the issue and can prioritize based on real impact—not just the most vocal users.
What makes a great conversation intelligence tool?
As you evaluate conversation intelligence tools to find the best one for your business, make sure you consider factors like
Channel support: does the CI tool analyze only text conversations (like email and chat), or is it capable of speech analytics on phone and audio conversations too?
Coverage: does the tool ingest all conversations across all channels, or does it use sampling to analyze a small amount of random conversations and extrapolate results from there, potentially skewing results?
Integrations: how does the conversational intelligence platform connect to, and work with, the other tools in your tech stack? Think beyond basic integrations with conversation channels here. How does it work alongside other systems—like your product analytics platform, CRM like HubSpot, business intelligence tool, and data warehouse—to give you revenue intelligence and CX insights?
Budget and pricing: alongside subscription fees and per-user pricing, what is the total cost of ownership, and how does this compare to the overall ROI it will bring, like time saved and additional revenue opportunities generated from deeper customer insights? Be mindful of hidden costs that can quickly add up, like time-consuming onboarding or training.
AI capabilities: while most tools offer basic summaries, the best conversation intelligence software offers AI copilots that help you understand your data, connect the dots across tools and datasets, and break down silos to deliver actionable insights faster
Tool | Channel support | Key features | Pricing | Best for |
Contentsquare | Omnichannel (email, live chat, voice, AI agent interactions) | Analyzes 100% of omnichannel customer conversations AI-powered conversation insights AI assistant for analysis and natural language querying AI agent analytics Proactive churn detection Integration with behavioral and digital experience data | Per interaction + scales with usage | Product, marketing, and customer experience teams |
Salesforce | Video meetings and voice calls | Native integration with Salesforce CRM and ecosystem AI-powered summaries and insights Deal guidance based on conversation data | From $50 per user per month (add-on to existing contract) | Enterprise sales teams |
Zoom | Video meetings (e.g. Zoom, Microsoft Teams, Google Meet), in-person meetings | Records, transcribes, and analyzes virtual meetings Embed sales methodologies and track adherence with scorecards AI-powered sales coaching in real time | Contact sales | SMB sales teams |
HubSpot | HubSpot Calling, specific integrations (e.g. Zoom, Google Meet, supported third-party calling providers) | Native integration with HubSpot CRM Basic conversation analytics Rep performance insights | From €90 per user per month | SMB sales teams |
1. Contentsquare
Contentsquare’s Conversation Intelligence automatically analyzes 100% of customer conversations across text and speech-based channels (like live chat threads, emails, phone calls, and interactions with AI chatbots).
It enables you to seamlessly combine surveyless customer feedback with digital experience and behavioral data in one integrated platform—so you can close the gaps between what customers do, what they say, and how they really feel.
Features and capabilities
Conversation Intelligence uses 14+ proprietary AI models trained on over 1 billion real customer interactions to go beyond generic natural language processing (NLP) and provide more accurate, powerful analyses, such as
AI-powered conversation insights: use AI to ask questions about your conversation data in plain language to quickly surface root causes of user issues, trends, and key insights—without requiring time-consuming manual analysis
Contact driver hierarchy: pinpoint precisely why customers are reaching out, down to the exact trigger, for faster routing and resolution
Churn signal detection: identify at-risk customers before it’s too late, using predictors like contact frequency, sentiment, and unresolved issues to proactively prevent churn
AI agent analytics: discover how AI agents and chatbots influence the customer journey, including how they guide customers through purchases and influence conversions, so you can scale impact
Quality assurance: automatically assess agent performance for both human and AI agents to identify coaching opportunities and improvements
Product intelligence: spot product issues in conversations before they appear in survey responses and contextualize them with sentiment trends and contact volume to prioritize your roadmap
The real competitive differentiator comes when you combine Conversation Intelligence with other Contentsquare capabilities, like
Product Analytics: surface conversation data, like trending pain points and contact drivers, directly alongside behavioral and conversion data in the Product Analytics UI to instantly quantify the impact of a friction point and close the loop with the specific users it affected
Sense Analyst: layer conversation data into your Sense Analyst workflow so you can understand root causes faster using a more complete picture of your users—not just what they clicked, but what they said—with Sense Analyst automatically combining conversation and behavioral data to surface actionable insights in one place Session Replay: watch real recordings of your users experiencing friction points, like rage clicks, hesitation, and drop-offs, then use CI to see what users who reached out about these issues say in their own words
Journey Analysis: discover which user paths end in drop-offs, conversions, or looping behaviors, and see how negative interactions (like angry support conversations) or positive ones (like engagement with your sales AI agent) influence journeys and outcomes
Error Analysis: see which technical errors drive the greatest support volume or the most negative sentiment so you can direct your resources where it matters most
Together, this lets you identify new opportunities to drive revenue, find and fix friction points to increase conversions, and understand how experiences affect churn, conversion, and renewals so you can continuously improve CX and engagement.
![[Product screenshot] Sense Analyst](http://images.ctfassets.net/gwbpo1m641r7/7yMzijSDNSRb55vohbyMn6/b14303ccd8043cf602d9fd7eb43c401b/image1__2_.png?w=3840&q=100&fit=fill&fm=avif)
Who it’s great for
Product, marketing, data and analytics, and customer experience teams who want to get a 360° view of their users and make customer-centric, data-driven decisions.
Pricing
Contentsquare's interaction-based pricing scales with your usage, making it increasingly cost-effective as your business grows.
2. Salesforce
Salesforce is a customer relationship management (CRM) platform that offers a conversation intelligence feature as a separate add-on to Salesforce Sales Cloud.
Salesforce’s Conversation Intelligence (also called Einstein Conversation Insights) helps sales teams uncover key moments in conversations—including competitor mentions and objections—to find insights, opportunities, and deal risks without needing to scrub through the entire call recording or transcript.
AI-generated call summaries and conversation data keep pipelines up to date, while AI agents provide targeted sales coaching and deal guidance.
Features and capabilities
AI-generated call summaries: see what was discussed in each call and jump to relevant transcript snippets
Call explorer: search conversations by keywords, topics, or trends to find key moments
Custom conversation insights: understand customer sentiment, uncover key takeaways, and use AI to perform SWOT analysis on each sales call
Sales coaching: analyze rep performance against best practices, pinpoint what makes top performers so effective, and help every rep meet their targets
Deal guidance: use conversation data to identify recommended next steps and proactively address risks, like missed follow-ups or stakeholder approvals
Embedded win-loss analysis: get real-time insights about why the deal was won or lost and use the learnings to improve your sales process and refine objection handling
Native Salesforce integration: automatically log conversation data and insights into call records to keep your pipeline up to date and trigger Salesforce workflows based on keywords or risk signals
Who it’s great for
Enterprise sales teams, particularly those already using the Salesforce platform.
Pricing
Einstein Conversation Insights is priced at $50 per user per month and includes call transcription and insights from sales calls. Einstein Conversation Insights and Enablement, which adds enablement analytics and revenue milestones, is priced at $100 per user per month. Note: pricing may vary according to location.
Pro tip: Einstein Conversation Insights may reveal what prospects say on sales calls, but it doesn’t show you how people actually interact with your site or product. Enrich your outreach using the Salesforce–Contentsquare integration to bring behavioral data from Contentsquare into your customer profiles to get a clearer understanding of their pain points and intent.
3. Zoom
Zoom is a meeting platform with built-in conversation intelligence software, Revenue Accelerator. Its conversational intelligence functionality records, transcribes, and analyzes meetings and sales calls across video and in-person sessions, eliminating the need for manual note-taking and capturing insights that boost sales team performance.
Features and capabilities
AI scorecards: automated AI-driven scoring gives reps post-call feedback to identify what went well and what to improve
Real-time AI guidance: help reps close the deal with live coaching that surfaces relevant battle cards, objection handling, and enablement content in the moment
AI playbooks: embed sales processes and methodologies into workflows and use AI to ensure all sales calls follow these best practices
Call summaries and insights: spot common themes, customer pain points, competitor mentions, and objections across all conversations
Who it’s great for
Small and medium businesses looking to scale their sales with conversation intelligence (especially teams that already use Zoom for meetings or sales calls).
Pricing
Contact sales.
4. HubSpot
HubSpot is an all-in-one CRM platform for marketing, sales, and customer service. It offers basic CI capabilities to help teams save time analyzing sales conversations, integrate valuable insights from conversations into customer records, and automatically trigger workflows.
Features and capabilities
Call recording and automatic transcription: automatically capture and transcribe calls using your calling software of choice (HubSpot’s own calling tool or supported integrations like Zoom, Google Meet, or another third-party calling provider)
AI-generated call summaries: quickly see the purpose of the call, key discussion points, decisions made, sentiment, and next steps, and ask HubSpot’s AI agent, Breeze Assistant, questions about the conversation
Conversation analytics and stats: get call insights and identify trends across all sales conversations, including monitoring tracked terms (Enterprise tier only)
Rep performance insights: see patterns and find coaching opportunities based on rep performance to deliver targeted coaching
Trigger HubSpot workflows: use automation to trigger next steps based on sales calls, like sending automated follow-up emails when specific topics are discussed or launching coaching workflows based on rep activity or performance
Native HubSpot integration: automatically store all transcripts and call summaries in the HubSpot contact record to keep information up to date without admin
Who it’s great for
Teams already using HubSpot that only need lightweight conversation intelligence features.
Pricing
Conversation Intelligence is included in the Sales Hub Professional and Sales Hub Enterprise plans. Sales Hub Professional starts at €90 per user per month, and Sales Hub Enterprise starts at €150 per user per month.
5. Gong
Gong is a dedicated conversation intelligence and revenue intelligence platform. It uses data from sales calls and your CRM to power pipeline forecasting and management, connecting signals from conversation data with revenue outcomes to identify what really drives results for sales teams—and help them do it at scale.
Features and capabilities
Gong Revenue Graph: automatically capture customer interaction data from a range of sources (including calls, meetings, emails, and your CRM) to create a more complete revenue database for your organization
Gong Forecast: track all pipeline at a glance, including renewals, expansion, and churn risks, to get a complete overview of projected revenue based on real customer signals
Performance feedback and coaching: get instant performance feedback and monitor rep progression over time with dashboards that track key metrics, like talk ratio and question rate
Call library: build a custom collection of best-in-class calls that reps can learn from, reinforcing best practices and helping new team members to onboard faster
AI agents: use AI agents to optimize workflows, reduce manual admin, and get more from your conversation data
Who it’s great for
Mid-market or enterprise teams looking for in-depth deal and pipeline visibility.
Pricing
Contact sales.
6. Intercom
Intercom is a customer service helpdesk with built-in conversation intelligence in the form of its AI Insights functionality. In addition to analyzing conversations with Intercom’s native AI agent, Fin, it also draws on live chat, emails, SMS, Messenger, and phone calls (using Fin Voice) to evaluate 100% of support conversations.
Features and capabilities
Trending topics: identify emerging and recurring topics in real time to quickly find and fix issues before they escalate
CX score: AI automatically assigns a rating to each interaction and explains the reasoning behind it, so teams can follow up on negative interactions and managers can provide coaching
Recommendations: discover topics that teams answer repeatedly and get automation recommendations to win back support team time
Monitors: set automated QA rules to ensure high-risk conversations (like chats that show intent to churn) are managed appropriately
Who it’s great for
Customer support teams looking to scale their operations with data-driven insights.
Pricing
AI Insights requires the Pro add-on (in addition to an Intercom subscription), which starts at $99 per month for up to 1,000 conversations.
Turn conversations into your competitive advantage
Conversation intelligence solutions give you valuable customer insights—but they’re not enough on their own. The real benefits come when you democratize this data across teams and validate feedback with how they actually behave.
By combining conversation intelligence and behavioral insights, you can break down silos, empower everyone to make user-centric decisions, and prioritize initiatives that will truly make a business impact and delight your customers.
FAQs about conversation intelligence software
Conversation intelligence software is an AI-powered tool that automatically records, transcribes, and analyzes customer conversations across speech-based channels (like voice calls and video meetings) and text-based channels (like emails, live chats, and AI agent interactions). It uses natural language processing (NLP) and machine learning (ML) to find patterns and uncover insights, like the root cause behind a spike in support queries or the most common objections raised in sales calls.
![[Visual] [Guide] Customer retention - Saas Stock image](http://images.ctfassets.net/gwbpo1m641r7/2Lmp9XhnD3Za2Q7fDglUJB/635404b1e617e2aa950703f719c0f0fa/Woman_with_Curly_Hair_Using_Tablet_on_Couch_Indoors.jpg?w=3840&q=100&fit=fill&fm=avif)
