The best conversation intelligence software turns recorded sales calls into coaching signals, deal insights, and CRM updates that managers can act on without having to listen to every call. As sales teams grow, call volume rises faster than any manager’s ability to review it. Coaching then becomes inconsistent, and the reasons deals win or stall stay buried in recordings nobody hears. What’s worse, leaders also lose visibility into revenue. Forecasts rely on what reps remember to log rather than what buyers actually said.
Pressure for sales teams to make the most of their time only exacerbates the problem. Every hour spent on call notes and CRM updates comes at the expense of already limited selling time.
This guide explains how conversation intelligence works and compares seven conversation intelligence tools on workflow fit, coaching depth, CRM integration, and pricing. It also breaks down practical guidance for choosing a platform.
Table of Contents
- What is conversation intelligence?
- 7 Best Conversation Intelligence Tools
- How to Choose the Right Conversation Intelligence Software
- Frequently Asked Questions About Conversation Intelligence Software
- Turn sales conversations into revenue insights.
What is conversation intelligence?
Conversation intelligence software uses artificial intelligence (AI) to automatically record, transcribe, and analyze hours of sales calls. It identifies keywords and conversation topics so sales teams can find the most important parts of a call, jump straight to them, and start analyzing.
Conversation intelligence software analyzes recorded customer conversations. Conversation intelligence differs from basic call recording by surfacing searchable insights and coaching signals. A recording captures what was said, while a conversation intelligence platform, also known as call intelligence software, shows what it means by identifying:
- Which objections come up most
- How reps handle competitor mentions
- Which deals show signs of risk
When combined with other data sources, these insights inform a broader customer intelligence strategy.
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How Conversation Intelligence Works
Conversation intelligence software, sometimes called conversation analytics software, follows the same core sequence across most platforms. Each step builds on the last to turn a raw recording into structured insight.
- Recording: The platform captures calls and video meetings via a built-in dialer, a calendar-connected meeting bot, or integrations with tools such as Zoom, Microsoft Teams, and Google Meet.
- Transcription: Speech-to-text models convert audio into a searchable transcript and label each speaker.
- Analysis: Natural language processing (NLP) detects keywords, topics, questions, and sentiment. Teams can usually define their own tracked terms, such as competitor names, pricing language, or product features.
- Speaker analytics: The software measures talk-to-listen ratio, interruptions, and question frequency so managers can spot coaching opportunities.
- Scoring: Many platforms grade calls against a scorecard or sales methodology, such as MEDDIC or SPICED.
- CRM sync: Summaries, action items, and extracted data are logged to contact, company, and deal records, and some platforms update CRM fields automatically.
That last step matters more as AI takes on a bigger role in the CRM. Conversation data stored on CRM records gives AI agents the context to recommend next steps, draft follow-ups, and keep deal records current. HubSpot’s Deal Progression tool is one example. It reads meeting transcripts, synced sales emails, and CRM context, then suggests next best actions and proposes updates to deal properties and Deal Plans.
For more on where this is heading, see HubSpot’s take on the future of AI in CRM.
Why is conversation intelligence important?
Conversation intelligence supports sales coaching at scale. Sales managers at growing companies rarely have time to review each rep’s 30- to 60-minute calls every day, and trying to do so isn’t sustainable. Conversation intelligence surfaces the moments worth reviewing, enabling managers to coach from evidence rather than anecdotes.
Leadership trainer Mike Wagner likens conversation intelligence to game film. “Elite coaches don’t ask players how the game went,” he explains. “They sit down together and watch the tape. Recording and analyzing sales conversations gives leaders the same thing: an objective record of what was actually said.”
With a conversation intelligence tool in place, sales managers can see whether reps are:
- Staying productive and efficient on calls with prospects.
- Actively listening instead of dominating the conversation.
- Applying their training and sticking to approved talk tracks.
- Handling objections and competitor mentions consistently.
The benefits extend beyond coaching. Teams that act on call insights can move deals forward faster. HubSpot’s guide to conversation intelligence and deal velocity covers this in depth.
7 Best Conversation Intelligence Tools
The best conversation intelligence tools vary depending on the sales team’s needs. This roundup evaluates each platform on six criteria.
- Workflow fit: Does it work with the calling and meeting tools the team already uses?
- Coaching depth: Does it offer scorecards, playlists, and timestamped feedback, or only transcripts?
- CRM integration: Does it write data back to records and fields, or only attach notes?
- Pricing transparency: Are prices published, or available only through a sales conversation?
- Usability: How much setup and admin effort does it take?
- Available evidence: Do current product documentation and public information support the vendor’s claims?
1. HubSpot Conversation Intelligence
HubSpot Conversation Intelligence records, transcribes, and analyzes customer calls within HubSpot Smart CRM, so each conversation is linked to the contact record alongside past emails, deals, and service history.
Best for: HubSpot Conversation Intelligence fits revenue teams that want native CRM integration, without a separate tool to sync and maintain.
Key Features
- Coaching tools: HubSpot Conversation Intelligence supports sales coaching at scale. Managers can review team-wide call performance, identify top performers, and leave feedback on specific moments during a call. Transcription is available on Sales Hub Professional (750 hours per account per month) and Enterprise (1,500 hours).
- Tracked terms and workflows: Teams can track terms such as competitor names or pricing objections, report on outcomes, and automatically trigger workflows.
- Flexible capture: HubSpot Notetaker records meetings and calls directly. Teams can also bring their own transcripts from connected apps such as Zoom, Microsoft Teams, and Google Meet. Calls made through HubSpot’s Call Tracking Software, JustCall, Kixie, and other calling services also feed conversation intelligence.
What sets it apart: Conversation data in HubSpot does not stop at the call record. HubSpot groups its newest deal tools under Deal Progression, connecting conversation insights to active deal management.
- HubSpot Notetaker gives reps customer context before meetings. Afterward, it produces conversation summaries, next steps, and follow-up emails that reps can share externally.
- Deal Agent works across transcripts, emails, and pipeline signals to recommend next best actions and draft deal emails with approved content. It also keeps deal properties, sales methodology fields, and Deal Plans current. Admins decide which properties update automatically and which require rep approval.
- Deal Plans give buyers and sellers a shared path to close, with milestones, owners, and dates that can be shared through the customer portal.
Beyond those tools, Breeze Assistant gives managers the key points of a call without the full recording. AI Guided Selling and Sales Playbooks bring next-best actions and approved talk tracks into the rep’s daily workflow. Sales Reporting tracks conversation trends and rep performance over time. For teams evaluating a broader sales acceleration platform, this connected setup is the main reason to choose a native tool.
Pro tip: Tracked terms are most useful when defined around the conversations that matter most — competitor names, pricing language, and key objections. The more consistently they are applied, the more useful the trend data becomes for coaching and forecasting.
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2. Avoma
Avoma is an AI meeting assistant with optional conversation intelligence and revenue intelligence add-ons. Teams start with a base plan for note-taking and scheduling, and add coaching and deal features only for those who need them.
Best for: Small and mid-sized teams that want to control costs by paying only for users who record meetings.
Key Features
- AI scorecards: The Conversation Intelligence add-on scores calls automatically against custom scorecards or frameworks such as SPICED, Sandler, and MEDDIC.
- Keyword and topic trackers: Custom keyword trackers and semantic topic trackers flag recurring objections, questions, and competitor mentions.
- Revenue add-on: The Revenue Intelligence add-on includes deal risk alerts, a deal health score, and two-way CRM field updates for HubSpot and other CRMs.
What sets it apart: Avoma’s pricing is refreshingly transparent. Viewers and collaborators are always free, and the Organization plan includes a 14-day trial and every add-on. Enterprise plans add SSO, custom data retention, and HIPAA compliance.
3. Salesloft Conversation Intelligence (formerly Clari Copilot)
Salesloft Conversation Intelligence was formerly known as Wingman and then Clari Copilot before becoming part of Salesloft following a merger. The platform consolidates data across the revenue pipeline into one connected workspace for sales teams.
Best for: Enterprise sales organizations that want conversation intelligence, sales engagement, and forecasting from a single vendor.
Key Features
- Live battlecards: Coaching cards appear during calls when specific topics come up, such as a discount request.
- Automated post-call work: AI call summaries, follow-up email drafts, and automated CRM updates reduce admin after each conversation.
- Coaching tasks: Coachable moments become tasks within the rep’s workflow rather than waiting for a weekly review.
What sets it apart: Real-time guidance is the main differentiator, since many conversation intelligence tools only analyze calls afterward. The trade-off is pricing. After interacting with the site’s AI chatbot, Sally, I learned that you must book a call with the sales team to get pricing information.
4. Jiminny
Jiminny is a conversation and revenue intelligence platform that captures email, phone, and video conversations and syncs the resulting insights to the CRM.
Best for: Mid-market revenue teams that want one platform covering coaching, competitive intelligence, and pipeline visibility.
Key Features
- Multichannel capture: Jiminny records phone and video calls and also analyzes email, so conversation data isn’t limited to meetings.
- CRM logging: Notes and updates sync automatically to the CRM. Jiminny integrates with HubSpot and dialers like Aircall.
- Coaching and competitive intelligence: Managers get coaching insights by rep, and leaders can track competitor mentions across the pipeline.
What sets it apart: Jiminny publishes a detailed security profile that covers SOC 2 Type II certification, GDPR, CCPA, and HIPAA compliance, as well as SSO and granular permissions. Jiminny does not explicitly list conversation intelligence pricing separately, but revenue intelligence pricing is available on its website.
- Recording Seat from $83/month
- Insights Seat from $42/month
- Listener Seat $0/month
A 14-day full-feature trial is available without a credit card.
5. Claap
Claap, now part of lemlist, is a conversation intelligence platform built for modern revenue teams. The tool combines fast, compliant call recording with AI-powered insights to help sales, customer success, and product teams turn conversations into action.
Best for: Teams with European operations that need EU data hosting, and teams that work closely across sales, customer success, and product.
Key Features
- CRM auto-complete: On the Business plan, Claap fills deal fields in HubSpot, Salesforce, Attio, and Pipedrive directly from conversations.
- AI coaching and scoring: Managers see which behaviors to coach, with support from deal insights and reporting.
- ClaapAgent: An AI assistant answers questions across all recorded meetings, not just a single call.
What sets it apart: Claap combines EU hosting, GDPR compliance, and SOC 2 Type II certification, and says it doesn’t train models on customer data. Its collaboration features, including comments, video annotations, and free Basic licenses for contributors, make it a good fit for teams that also rely on sales collaboration tools.
6. Gong
Gong is a revenue AI platform built on conversation intelligence. It captures customer calls, meetings, and emails and maps them to account and deal context. That data powers coaching, deal inspection, and forecasting.
Best for: Large and enterprise revenue organizations that want deep deal analytics and coaching across sales and customer success, and have the budget for a platform-level investment.
Key Features
- Revenue Graph: Gong automatically captures customer interactions and connects them to business context, so managers can review deals and accounts without having to ask reps for updates.
- Coaching and enablement: Gong Enable helps managers onboard new hires and coach the rest of the team by identifying winning behaviors and spreading them across reps.
- Forecasting and pipeline management: Gong Forecast uses AI to highlight high-impact opportunities, flag deal risks, and estimate the paths to hitting a number.
What sets it apart: Gong has scale and an established ecosystem. A native HubSpot integration imports contacts, companies, deals, and engagements into Gong and exports recorded calls back to HubSpot as meeting activities. One limitation worth noting is that Gong connects to only one CRM at a time. Pricing is custom, combining per-user licenses with a platform fee based on the number of users.
7. Fireflies.ai
Fireflies.ai is an AI meeting assistant that records, transcribes, and summarizes meetings across Zoom, Google Meet, Microsoft Teams, and other platforms. Its Business plan adds conversation intelligence features.
Best for: Small teams and individual sellers who want an affordable starting point and can grow into deeper analytics later.
Key Features
- Transcription in over 100 languages: Transcription is unlimited even on the free plan, with real-time notes and live transcription.
- Conversation analytics: The Business plan adds conversation intelligence, team analytics, topic trackers, sentiment analysis, question detection, and speaker talk-time metrics.
- AskFred: An AI assistant answers questions about past meetings and helps locate specific moments.
What sets it apart: Fireflies has the lowest entry cost of the dedicated tools here. Coaching depth is lighter than purpose-built sales platforms, so it works best for teams that mainly need searchable records with some analytics. Enterprise plans add SSO, audit logs, and HIPAA compliance. For a broader look at this category, see HubSpot’s guide to AI meeting assistants.
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How to Choose the Right Conversation Intelligence Software
The right conversation intelligence software depends on where a team’s data lives, how managers coach, and how much risk the business can accept with recorded conversations. These four steps help narrow the list quickly.
1. Test how deep the CRM integration goes.
CRM integration decides whether call insights change behavior or sit unused. Some tools attach a transcript to an activity record, while others update deal fields, trigger workflows, and feed reporting.
During a trial, record a real call and check what lands in the CRM. Note whether fields update automatically, whether reps must approve changes, and whether managers can report on conversation data alongside pipeline data. RevOps teams comparing their wider stack can use HubSpot’s roundup of RevOps tools as a reference. Also check who controls those updates. Some platforms, including HubSpot’s Deal Agent, let admins choose which fields update automatically and which wait for rep approval.
2. Match coaching depth to how managers actually coach.
Coaching features vary widely, from basic talk-time stats to automated scorecards and live in-call prompts. Real-time guidance helps newer reps and complex objection handling but adds complexity and cost. Post-call review fits teams with structured weekly one-on-ones.
Before buying, ask frontline managers how they coach today. If they review calls in batches, prioritize playlists, timestamped comments, and scorecards. If deals stall over specific moments like pricing discussions, prioritize live battlecards.
3. Model the full cost over the per-seat price.
Pricing models in this category differ enough that headline prices mislead. Four structures are common enough to plan for.
- Per seat: Every user pays, regardless of usage.
- Per recorder seat: Only users who record pay; viewers are free.
- Usage-based: Pricing tied to minutes or AI agents.
- Custom quote: Typically enterprise contracts with multi-year terms.
Add one-time onboarding fees, required add-ons, and annual-billing requirements. A platform bundled into an existing CRM subscription can cost less overall than a cheaper standalone tool, especially when factoring in the effort required to maintain an integration.
4. Confirm compliance and recording consent before rollout.
Recorded sales calls contain personal data, pricing, and sometimes regulated information. Check for SOC 2 Type II certification, GDPR compliance, data residency options, custom retention policies, and HIPAA support if the team works with healthcare organizations.
Recording consent rules also vary by jurisdiction. Some U.S. states require every party on a call to agree to recording. Legal and RevOps teams should confirm that consent notices and recording settings meet local requirements before the tool goes live.
Frequently Asked Questions About Conversation Intelligence Software
What is the best-fit conversational AI for sales teams?
The best fit depends on where the sales team’s data and workflows live. Teams that run sales and marketing on HubSpot typically get the most value from HubSpot Conversation Intelligence because insights land directly on CRM records and feed reporting and workflows. Enterprise teams that need live coaching and forecasting in one place often look at Salesloft, while smaller teams on a tight budget often start with Fireflies.ai or Avoma.
How much does conversational intelligence software cost?
Conversational intelligence software ranges from free plans to custom enterprise contracts. Entry-level meeting assistants with basic analytics run about $10 to $20 per seat per month on annual billing, with dedicated coaching add-ons typically adding $29 or more per seat. Enterprise platforms like Salesloft and Jiminny price by quote, and CRM-native options like HubSpot include conversation intelligence in Sales Hub Professional and Enterprise subscriptions.
How do I pick the right conversational intelligence software for my team?
Start with three questions: which CRM and calling tools must it integrate with, how do managers coach today, and what compliance requirements apply to recorded calls. From there, run a trial on real calls, check what data reaches the CRM, and model the total annual cost including onboarding fees and add-ons.
What’s the difference between conversation intelligence and call recording?
Call recording captures audio so it can be replayed. Conversation intelligence transcribes and analyzes that audio to surface keywords, objections, sentiment, talk patterns, and deal risks, then syncs those insights to the CRM. Recording shows what happened on a call. Conversation intelligence helps teams decide what to do next.
Turn sales conversations into revenue insights.
The best conversation intelligence software does more than transcribe calls. It surfaces the moments that need coaching, flags deals that need attention, and gets those insights into the system reps already use every day. The seven tools in this guide approach that goal differently, ranging from affordable starting points for smaller teams to deep analytics and forecasting for enterprise revenue organizations.
Whichever platform a team picks, the evaluation should follow the same order. Start with where the team’s data lives and how managers coach, then test each finalist on real calls before committing.
Editor's note: This post was originally published in May 2021 and has been updated for comprehensiveness.
AI Notetaker
Walk in prepared, capture each conversation, and follow up fast — all without the admin work.
- Capture meetings and calls
- Get complete context before each conversation
- Quickly send follow-ups and update your CRM
- And more
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All fields are required.
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