10 Best Conversation Analytics Software in 2026

Conversation analytics software records, transcribes, and analyzes sales conversations to surface insights about deal health, rep performance, and customer behavior. The best platforms go beyond basic call recording to deliver AI-powered summaries, coaching signals, and pipeline intelligence that revenue teams can act on immediately.

This list covers the ten best conversation analytics platforms available in 2026, what each one does well, and who it is best suited for.

What Is Conversation Analytics Software?

Conversation analytics software captures spoken interactions between sales reps and prospects or customers, converts them into structured data, and applies AI and machine learning to extract meaningful patterns and insights. These platforms analyze what was said, how it was said, and what it means for deal outcomes and rep development.

The most capable platforms do more than transcribe calls. They identify objections, track competitor mentions, score rep behavior against a defined methodology, flag coaching opportunities, and connect conversation data directly to CRM records and pipeline health.

For revenue teams, this means moving from anecdotal coaching and gut-feel forecasting to decisions grounded in what is actually happening across every customer conversation.

What to Look for in Conversation Analytics Software

Not all conversation analytics platforms are built the same. Before evaluating options, identify which capabilities matter most for your team.

• CRM integration depth: Does it sync natively to Salesforce or HubSpot, or does it rely on middleware that creates gaps and delays?
• AI summary quality: Does it generate structured call summaries with next steps, or just a raw transcript?
• Real-time capability: Can it surface guidance to reps during live calls, or only after the fact?
• Coaching infrastructure: Does it include scorecards, annotations, and libraries for scaling best practices?
• Field sales support: Does it capture in-person meetings and mobile calls, not just desk-based calls?
• Compliance: Does it handle call recording consent, DNC checks, and TCPA requirements automatically?

The 10 Best Conversation Analytics Software Platforms in 2026

1. Revenue.io

Revenue.io is a Salesforce-native conversation intelligence platform that captures, transcribes, and analyzes every sales interaction and writes the results directly into Salesforce without middleware or manual logging. It covers inside sales calls, field sales calls, SMS conversations, and in-person meetings through a native iOS app, giving revenue teams complete visibility across every channel their reps use.

What sets Revenue.io apart is that conversation analytics is not a standalone module bolted onto a separate platform. It is the core of a fully integrated revenue orchestration system that includes real-time AI coaching, AI call and deal summaries, pipeline risk signals, performance scorecards, and automated CRM activity capture, all inside Salesforce.

Key capabilities:

• Automatic call recording, transcription, and AI summarization after every conversation
• Real-time AI guidance delivered to reps during live calls based on what is being said
• AI deal summaries that synthesize multiple conversations into a structured opportunity narrative inside Salesforce
• Conversation scorecards that score rep performance automatically against defined criteria
• Full conversation analytics for field sales and in-person meetings via the Revenue.io iOS app
• Built-in DNC, TCPA, and calling hour compliance enforced before every call
• Call libraries and annotation tools for scaling coaching across the team

Best for: B2B sales teams running on Salesforce that want conversation analytics, real-time coaching, and deal intelligence in a single Salesforce-native platform.

2. Gong

Gong is one of the most widely recognized conversation intelligence platforms in the market. It records and analyzes sales calls and meetings, surfaces deal risks, and provides pipeline analytics based on conversation activity. Gong has a broad feature set and strong brand recognition, particularly in enterprise sales organizations.

Key capabilities:

• Call and meeting recording with AI-powered conversation analysis
• Deal intelligence and pipeline risk scoring based on engagement signals
• Team and rep performance analytics with talk-to-listen ratio tracking
• Forecasting features that incorporate conversation activity data

Best for: Enterprise sales teams that want a well-established conversation intelligence platform with broad analytics capabilities.

Consideration: Gong connects to Salesforce via integration rather than natively, which can introduce sync gaps and adds configuration complexity. For a deeper look, see our roundup of the best Gong alternatives.

3. Chorus by ZoomInfo

Chorus is a conversation intelligence platform that is part of the ZoomInfo ecosystem. It records and analyzes sales calls and meetings, tracks keyword mentions, and provides coaching tools for sales managers. Teams already using ZoomInfo for prospecting data benefit from tighter integration across the two platforms.

Key capabilities:

• Call and meeting recording with topic and keyword tracking
• Deal momentum scoring based on conversation activity
• Coaching playlists and call libraries for team development
• Integration with ZoomInfo contact and company data

Best for: Teams already embedded in the ZoomInfo ecosystem that want conversation analytics connected to their prospecting data.

4. Salesloft Conversations

Salesloft includes conversation intelligence as part of its broader sales engagement platform. Calls made through Salesloft are automatically recorded and analyzed, with insights surfaced alongside the sequencing and cadence management features the platform is best known for. If you are weighing options, our breakdown of the top Salesloft alternatives covers the trade-offs.

Key capabilities:

• Call recording and transcription within the Salesloft workflow
• Conversation analytics connected to sequence and cadence performance data
• Coaching features including call review and feedback tools
• CRM integration with Salesforce and HubSpot

Best for: Teams already using Salesloft for sales engagement that want conversation analytics without adding a separate platform.

5. Outreach Kaia

Outreach Kaia is the conversation intelligence layer built into the Outreach sales engagement platform. It provides real-time assistance during calls, post-call summaries, and analytics that connect conversation data to the broader Outreach workflow.

Key capabilities:

• Real-time call assistance with live suggestions during conversations
• Post-call summaries and action item extraction
• Conversation analytics integrated with Outreach sequence and pipeline data
• Deal health signals based on engagement and conversation activity

Best for: Teams already running on the Outreach platform that want conversation intelligence embedded in their existing workflow.

6. Clari Copilot

Clari Copilot is the conversation intelligence component of the Clari revenue platform. It records and analyzes sales calls, provides real-time battlecard suggestions, and feeds conversation signals into Clari’s forecasting and pipeline management capabilities.

Key capabilities:

• Real-time battlecard and objection handling suggestions during calls
• Call recording, transcription, and post-call summaries
• Conversation data connected to Clari pipeline and forecast views
• Competitor mention tracking and win/loss analysis

Best for: Teams already using Clari for forecasting that want conversation intelligence connected directly to their pipeline management workflow.

7. Jiminny

Jiminny is a conversation intelligence platform built for mid-market sales teams. It records and analyzes calls and meetings, provides coaching tools for managers, and integrates with Salesforce and HubSpot. Jiminny positions itself as a more accessible alternative to enterprise-focused platforms, with a faster implementation timeline and a simpler pricing model.

Key capabilities:

• Call and meeting recording with automated transcription and summaries
• Coaching tools including call scoring, playlists, and manager feedback
• Topic and keyword tracking with trend analysis over time
• CRM integration with Salesforce and HubSpot

Best for: Mid-market sales teams that want a capable conversation intelligence platform without the complexity and cost of enterprise-tier solutions.

8. Avoma

Avoma is an AI meeting assistant and conversation intelligence platform that covers the full meeting lifecycle from agenda creation through post-meeting follow-up. It transcribes and summarizes calls and meetings, generates action items automatically, and syncs notes and activity data to the CRM.

Key capabilities:

• Automated meeting notes, transcription, and AI-generated summaries
• Action item extraction and follow-up email drafting
• Conversation analytics with topic tracking and talk-time metrics
• CRM sync for call notes and meeting activity

Best for: Teams that want strong meeting intelligence and automated note-taking across both sales and customer success conversations.

9. Fireflies.ai

Fireflies.ai is an AI meeting assistant that joins video calls and in-person meetings to record, transcribe, and summarize conversations. It is one of the more accessible entry points into conversation analytics, with a broad range of integrations and a lower price point than enterprise platforms.

Key capabilities:

• Automatic meeting recording and transcription across major video platforms
• AI-generated meeting summaries and action items
• Keyword search across all recorded conversations
• Integrations with Salesforce, HubSpot, Slack, and over 40 other tools

Best for: Smaller teams or early-stage companies that want affordable conversation capture and basic analytics without enterprise-level complexity.

10. Dialpad Ai

Dialpad includes built-in conversation intelligence as part of its cloud communications platform. It transcribes calls in real time, surfaces AI-generated post-call summaries, and tracks keyword and topic mentions across conversations. Dialpad is strongest for teams that want calling and conversation analytics in a single platform without a separate conversation intelligence tool.

Key capabilities:

• Real-time transcription with live sentiment analysis
• AI-generated post-call summaries and action items
• Keyword and topic tracking with team-level analytics
• Integration with Salesforce and HubSpot via third-party sync

Best for: Teams that want calling and basic conversation analytics bundled together without investing in a dedicated conversation intelligence platform.

Conversation Analytics Software Comparison

How to Choose the Right Conversation Analytics Platform

The right platform depends on where your team operates, what your CRM environment looks like, and how deeply you need conversation data to connect to pipeline and coaching workflows.

• If you run on Salesforce and need full revenue intelligence: Revenue.io is the only Salesforce-native option that combines conversation analytics, real-time coaching, deal intelligence, and field sales support in a single platform.
• If you need enterprise-scale analytics and are not Salesforce-dependent: Gong is the most established option with the broadest feature set.
• If you are already in the ZoomInfo ecosystem: Chorus offers the tightest data connection between prospecting and conversation intelligence.
• If conversation intelligence is secondary to sales engagement: Salesloft Conversations or Outreach Kaia may be sufficient if you are already on those platforms.
• If budget is the primary constraint: Fireflies.ai or Avoma provide solid conversation capture and summarization at a significantly lower price point.

Final Thoughts

Conversation analytics software has moved from a nice-to-have to a core part of the revenue operations stack. Teams that operate without it are making pipeline decisions based on incomplete data, coaching reps based on anecdote, and losing deals to risks they never saw coming.

The platforms on this list represent the strongest options available in 2026 across a range of team sizes, CRM environments, and budget levels. Start with the capabilities that address your biggest gap today, validate that the platform integrates cleanly with your CRM, and make sure the data it generates flows into the workflows your team actually uses.