15 Best Sales Conversation Intelligence Software in 2024
15 Best Sales Conversation Intelligence Software in 2024
Updated July 26, 20264,426 words15 tools compared
Sales conversation intelligence software has become essential for teams looking to improve win rates, reduce sales cycles, and build repeatable processes. These platforms record, transcribe, and analyze customer interactions to identify what's actually working in your sales conversations—not what you think is working. Whether you're trying to understand why deals are slipping or scale your top performers' techniques across the team, conversation intelligence tools provide the visibility needed to make data-driven improvements. This guide reviews 15 leading sales conversation intelligence platforms, comparing their features, pricing, and ideal use cases to help you find the right fit for your organization.
In-depth analysis of each platform to help you make the right choice.
#1
People.ai
Top Pick
Best For: Enterprise sales teams managing large, complex deals with multiple stakeholders
People.ai stands out as a comprehensive revenue intelligence platform that captures and analyzes all customer interactions across email, calls, and meetings. The platform automatically creates and updates records in your CRM, eliminating manual data entry while providing deep insights into buyer engagement patterns. It's particularly strong for enterprise teams that need visibility into complex, multi-threaded deals where multiple stakeholders are involved in conversations.
Pricing: Custom pricing based on deployment scope and team size; typically requires significant commit for enterprise accounts
Key Features
Automatic conversation capture and transcription
Real-time CRM updates
Multi-threaded deal visibility
Buyer engagement analytics
Predictive deal scoring
Pros
+Captures activity from all communication channels automatically
+Surfaces hidden stakeholders in deals through conversation analysis
+Provides statistically-backed insights on winning behaviors
+Strong integration with major CRM platforms
Cons
-Pricing is opaque and requires sales conversations
-Setup and implementation can be complex for large deployments
-May require workflow changes to capture all conversations
Verdict
People.ai is ideal for enterprise organizations ready to instrument their entire revenue organization. If you're managing deals worth six or seven figures with complex buying committees, the insights People.ai provides pay for itself through improved deal guidance and forecasting accuracy.
#2
Aviso
Best For: Sales organizations focused on rep coaching and deal acceleration
Aviso combines conversation intelligence with AI-powered forecasting and automated coaching to help sales leaders drive coaching at scale. The platform analyzes calls and emails to identify coaching opportunities, then sends targeted recommendations to sales reps. It's particularly effective for organizations that want conversation intelligence tied directly to improved performance outcomes and deal progression.
Pricing: Custom enterprise pricing; typically $500+ per user annually depending on team size and features
Key Features
Call and email analysis
AI-driven forecasting
Automated coaching recommendations
Deal health scoring
Conversation intelligence tied to CRM
Pros
+Bridges gap between insights and action through automated coaching
+Forecasting improves over time as AI learns team patterns
+Call coaching recommendations are specific and actionable
+Strong support for implementation and training
Cons
-Requires consistent meeting capture for best results
-Steep learning curve for maximizing advanced features
-Pricing is higher than point solutions
Verdict
Aviso is best suited for mid-market to enterprise teams with dedicated sales leaders or managers who want to scale their coaching impact. If improving rep performance and deal velocity are your primary goals, Aviso's combination of intelligence and coaching automation delivers measurable ROI.
#3
Dooly
Best For: Sales teams seeking better pipeline visibility and CRM data hygiene without heavy implementation
Dooly takes a different approach to sales intelligence by focusing on pipeline visibility and team collaboration rather than conversation analysis. It acts as a lightweight layer over your CRM, making it easier for teams to maintain accurate pipeline data and collaborate in real-time. While not a traditional conversation intelligence tool, Dooly helps teams act on intelligence by improving the quality of pipeline data and cross-team visibility.
Pricing: Starts at $15/user/month; transparent SaaS pricing model with volume discounts available
Key Features
Real-time pipeline collaboration
Deal health scoring
Integration with Salesforce and HubSpot
Mobile-friendly pipeline updates
Lightweight data capture
Pros
+Easy implementation with minimal learning curve
+Transparent, predictable pricing
+Mobile app ensures reps update data from the field
-Doesn't provide conversation intelligence or coaching
-Limited reporting compared to enterprise platforms
-Relies on CRM data quality from reps
Verdict
Dooly is ideal for growing sales teams (10-100+ reps) that need better pipeline visibility without the complexity of enterprise revenue intelligence platforms. If your team struggles with CRM data accuracy and pipeline visibility, Dooly is a cost-effective first step before investing in conversation intelligence.
#4
Scratchpad
Best For: Sales teams frustrated with CRM data entry and looking for lightweight, fast alternatives
Scratchpad functions as a CRM companion tool designed to reduce friction in data entry and improve team collaboration. While not a conversation intelligence platform in the traditional sense, it helps teams capture customer interactions and context efficiently. It's particularly popular with teams that find their CRM cumbersome and want a lightweight tool to bridge the gap between sales work and CRM records.
Pricing: Starts at $30/user/month; simple per-user pricing with no long-term contracts required
Key Features
Lightweight CRM data capture
Real-time collaboration
Deal guidance based on pipeline data
Integration with Salesforce and HubSpot
Mobile-friendly interface
Pros
+Extremely simple to implement and adopt
+Reps are more likely to use it than traditional CRM
+Transparent pricing with no hidden fees
+Strong design focuses on user experience
Cons
-Doesn't provide conversation recording or analysis
-Limited to CRM data quality already in your system
-Not suitable for complex, multi-stakeholder deals
Verdict
Scratchpad works best as a complement to your existing CRM, not as a replacement. If your team's primary friction point is CRM data entry and collaboration, Scratchpad solves that problem affordably. Pair it with a conversation intelligence tool for complete visibility.
#5
Growblox
Best For: Sales teams wanting AI-powered deal guidance and rep coaching tied to outcomes
Growblox uses AI to analyze sales interactions and provide deal guidance specifically designed to help reps move deals forward. The platform focuses on actionable recommendations rather than just analytics, making conversation intelligence directly tied to deal progression. It's built for sales teams that want to improve not just understanding of conversations, but actual deal outcomes.
+Focuses on actionable guidance rather than just analytics
+AI improves deal recommendation quality over time
+Surfaces specific next steps reps should take
+Good for teams with consistent call volume
Cons
-Requires consistent meeting capture to provide value
-Setup and integration can take months
-Pricing discussion required with sales team
Verdict
Growblox is best for mid-market sales teams (30+ reps) with an established calling culture who want guidance tied to deal outcomes. If your team is losing deals you should be winning, Growblox's AI-driven guidance helps identify the specific changes needed to improve conversion rates.
#6
Zendesk Sell
Best For: Small to mid-market teams wanting integrated CRM with native conversation intelligence
Zendesk Sell is a CRM platform with native conversation intelligence capabilities, making it an all-in-one solution for teams not already invested in another CRM. It provides call recording, transcription, and basic analytics integrated directly into the CRM interface. It's particularly useful for organizations that need a single platform for CRM, customer support, and sales intelligence without complex integrations.
Pricing: Starts at $19/user/month for the Professional plan; higher tiers available with more features
Key Features
Native call recording and transcription
Built-in conversation analytics
CRM and sales intelligence in one platform
Email integration and tracking
Deal forecasting
Pros
+Integrated solution reduces tool complexity
+Transparent per-user pricing
+Call recording works natively within CRM
+Good for teams new to conversation intelligence
Cons
-Conversation intelligence features less advanced than specialized platforms
-Integration with other tools can be limited
-May not scale well for very large teams
Verdict
Zendesk Sell is ideal for growing teams (5-50 reps) that need both CRM and conversation intelligence without juggling multiple platforms. If you're building your sales tech stack from scratch, Zendesk Sell provides solid fundamentals at an affordable price point.
#7
Salesforce Revenue Cloud
Best For: Large enterprises requiring comprehensive revenue operations infrastructure
Salesforce Revenue Cloud represents the comprehensive revenue operations approach, combining CRM, CPQ, revenue intelligence, and forecasting in a unified platform. It's designed for large organizations that want a single source of truth for all revenue-related activities. While not a conversation intelligence tool specifically, its Einstein Analytics component provides intelligence across the entire revenue process.
Pricing: Custom enterprise pricing starting at several hundred dollars per user annually
Key Features
Native Salesforce CRM foundation
Einstein Analytics for predictive insights
CPQ and contract management
Forecasting and pipeline management
Cross-functional revenue visibility
Pros
+Unified platform reduces data silos
+Deep customization available for complex organizations
+Strong analytics capabilities through Einstein
+Extensive partner ecosystem for implementation
Cons
-Very expensive for smaller teams
-Significant implementation timeline and complexity
-Requires strong Salesforce expertise to maximize value
Verdict
Salesforce Revenue Cloud is appropriate only for enterprise organizations with complex revenue operations, dedicated Salesforce teams, and budgets to match. If you're a startup or small business, the overhead and cost make this inappropriate.
#8
Pavlov
Best For: Sales organizations focused on rep skill development and behavior change
Pavlov takes a behavioral approach to sales training using conversation intelligence to identify best practices and then applies spaced repetition learning to help reps internalize those practices. It's particularly useful for organizations that want to turn conversation insights into sustainable behavior change across the team. Rather than just identifying what good looks like, Pavlov ensures reps actually learn and apply those skills.
Pricing: Custom pricing based on team size and training scope
Key Features
Spaced repetition learning for skill development
Conversation analysis to identify best practices
Behavior tracking and reinforcement
Integration with CRM data
Coaching micro-lessons
Pros
+Focuses on sustainable behavior change, not just insights
+Uses proven learning science principles
+Effective for distributed teams across time zones
+Reinforces good behaviors through repetition
Cons
-Requires rep engagement with learning platform
-Results depend on training compliance
-Pricing and implementation details require sales contact
Verdict
Pavlov works best for organizations serious about rep development where coaching and training are strategic priorities. If you've identified best practices through conversation intelligence but struggle with rep adoption, Pavlov's spaced repetition approach drives actual skill improvement.
#9
Tout
Best For: Organizations with content-driven sales processes and marketing-sales alignment needs
Tout specializes in content intelligence and sales-marketing alignment, tracking how content performs in customer conversations and which sales activities drive engagement. It provides a unique angle on conversation intelligence by focusing specifically on content effectiveness and buyer engagement patterns. It's particularly valuable for organizations selling through content and wanting to understand what resonates with buyers.
Pricing: Custom enterprise pricing; typically requires significant user base for viable ROI
Key Features
Content engagement tracking
Sales-marketing interaction intelligence
Buyer engagement analytics
Integration with sales tools
Performance attribution
Pros
+Unique focus on content performance in deals
+Bridges sales and marketing visibility gap
+Surfaces which content assets actually influence deals
+Good for account-based marketing alignment
Cons
-Niche positioning means less applicable for all sales teams
-Requires both sales and marketing buy-in
-Pricing typically requires enterprise budgets
Verdict
Tout is best for organizations where content plays a central role in sales conversations and marketing-sales alignment is a strategic goal. If you're running an account-based marketing program or selling technical/complex products where content shapes conversations, Tout provides differentiated insights.
#10
BoostUp
Best For: Sales leaders managing large teams who want automated, personalized coaching
BoostUp automates sales coaching by analyzing conversations and generating targeted coaching recommendations for individual reps. The platform uses AI to identify where each rep needs development and suggests specific improvements. It's particularly useful for sales leaders managing large teams where personalized coaching at scale would otherwise be impossible.
Pricing: Custom pricing based on team size and desired automation level
Key Features
Automated coaching recommendations
Conversation analysis and scoring
Rep-specific feedback
Integration with CRM and call recording
Coaching library and resources
Pros
+Enables personalized coaching at scale
+Reduces time spent on manual call reviews
+AI learns rep-specific patterns over time
+Actionable recommendations are specific to each rep
Cons
-Requires consistent call recording and analysis
-Setup can require process changes
-Effectiveness depends on rep engagement with recommendations
Verdict
BoostUp is ideal for sales organizations (25+ reps) with dedicated leadership where scaling personalized coaching is a priority. If your sales managers are overwhelmed with one-on-ones and call reviews, BoostUp multiplies their coaching impact through automation.
#11
Xactly
Best For: Large sales organizations focused on compensation automation and performance alignment
Xactly focuses on sales compensation and performance management, using intelligence from sales activities to automate compensation calculations and align incentives. While not purely conversation intelligence, it uses activity and outcome data to drive accountability and performance management. It's valuable for organizations wanting to tie compensation and incentives directly to measurable behaviors.
Pricing: Custom enterprise pricing starting at $5,000+ monthly depending on team size and complexity
Key Features
Automated sales compensation
Commission tracking and management
Performance analytics
Incentive alignment
Forecasting integration
Pros
+Eliminates manual compensation calculations
+Aligns incentives directly with business goals
+Reduces disputes about commission calculations
+Integrates with most major CRM platforms
Cons
-Very expensive for smaller teams
-Implementation requires significant process mapping
-Ongoing maintenance of compensation rules required
Verdict
Xactly is appropriate only for large enterprises (100+ sales reps) where compensation complexity justifies the cost. If you're spending significant time on manual commission calculations and comp disputes, Xactly solves that operational problem.
#12
Weflow
Best For: Sales operations teams focused on process improvement and workflow optimization
Weflow optimizes sales workflows and processes using intelligence from how teams actually work. It analyzes sales activities and team workflows to identify bottlenecks and optimization opportunities. While not a pure conversation intelligence tool, it uses sales activity intelligence to improve team efficiency and process execution.
Pricing: Custom pricing; typically positioned as an operational tool for larger teams
Key Features
Sales workflow analysis
Process bottleneck identification
Team efficiency metrics
Workflow optimization recommendations
Integration with sales tools
Pros
+Identifies real workflow problems not just guessed
+Data-driven process improvement
+Helps reduce admin burden on sales teams
+Clear ROI through efficiency gains
Cons
-Requires data and metrics infrastructure
-Recommendations only valuable if acted upon
-Setup requires understanding current workflows
Verdict
Weflow is useful for sales operations leaders in growing organizations where process efficiency has become problematic. If reps are spending too much time on admin tasks rather than selling, Weflow's workflow optimization helps identify where to improve.
#13
Salesforce Einstein Analytics
Best For: Enterprises already invested in Salesforce wanting advanced predictive analytics
Einstein Analytics applies AI and predictive analytics to Salesforce data to surface insights across the entire customer lifecycle. While not conversation intelligence specifically, it provides predictive modeling that helps teams identify at-risk deals, forecast more accurately, and understand customer behavior patterns. It's most valuable when integrated with conversation intelligence tools that feed it richer data.
Pricing: Custom enterprise pricing; typically $1,000+ monthly depending on features and data volume
Key Features
Predictive analytics
Deal forecasting
Customer health scoring
Customizable dashboards
AI-driven insights
Pros
+Deep integration with Salesforce data
+Advanced predictive capabilities
+Customizable for complex sales models
+Strong support ecosystem
Cons
-Requires significant Salesforce expertise to set up
-Very expensive for smaller implementations
-Better as complement to conversation intelligence, not replacement
Verdict
Einstein Analytics is appropriate only for large Salesforce-native organizations with data science resources. If you're already managing complex Salesforce deployments, Einstein provides valuable predictive capabilities to improve forecasting and deal management.
#14
Kantata
Best For: Professional services firms and agencies managing project-based revenue
Kantata focuses specifically on project-based and professional services revenue management, using intelligence from project delivery and customer interactions to optimize revenue operations. It's particularly valuable for services organizations, agencies, and consulting firms where project profitability and utilization directly impact revenue. While not conversation intelligence per se, it provides activity intelligence specific to services delivery.
Pricing: Custom pricing based on team size and projects under management
Key Features
Project profitability tracking
Resource utilization intelligence
Revenue recognition automation
Customer engagement visibility
Forecasting for services organizations
Pros
+Purpose-built for services business models
+Tracks metrics most important to services firms
+Integrates project and financial data
+Helps identify unprofitable client relationships
Cons
-Only applicable to services/project-based businesses
-Implementation requires process mapping
-May not integrate with all existing tools
Verdict
Kantata is essential for services organizations that have struggled with project profitability and resource utilization visibility. If you're a services firm managing projects and struggling to understand which customers are truly profitable, Kantata provides that critical intelligence.
#15
Reckon
Best For: Sales teams specifically focused on call quality, coaching, and conversation insights
Reckon provides call analytics focused on conversation insights and call quality monitoring. It records and transcribes sales calls, then analyzes them for coaching insights and performance metrics. It's positioned as a straightforward conversation intelligence tool without additional layers like forecasting or compensation management, making it ideal for teams wanting focused call intelligence.
Pricing: Custom pricing based on call volume and team size
Key Features
Call recording and transcription
Conversation analytics
Coaching insights
Call quality scoring
Integration with CRM systems
Pros
+Focused tool without unnecessary complexity
+Clear conversation analytics and insights
+Good for teams wanting basic call intelligence
+Relatively straightforward implementation
Cons
-Pricing and availability not clearly published
-Limited advanced analytics compared to enterprise platforms
-May require custom integration for some workflows
Verdict
Reckon is best for mid-market sales teams wanting conversation intelligence without the complexity or cost of enterprise platforms. If your primary need is understanding call quality and coaching opportunities, Reckon provides that focused capability without enterprise overhead.
Frequently Asked Questions about sales conversation intelligence software
Sales conversation intelligence solves four core problems: first, it eliminates guessing about what actually works in sales conversations by showing you the actual language, techniques, and approaches used in winning deals versus lost ones. Second, it surfaces why deals are being lost before it's too late—by analyzing conversations, you can identify when prospects are disengaging or when objections aren't being addressed effectively. Third, it enables coaching at scale by automatically identifying coaching opportunities for each rep so managers don't have to manually review every call. Fourth, it provides accurate deal forecasting by analyzing conversation sentiment, stakeholder engagement, and buying signals rather than relying on rep optimism. These aren't nice-to-have insights; they directly impact win rates, deal velocity, and forecast accuracy when properly implemented.
Conversation intelligence specifically captures and analyzes what's actually being said between your reps and customers, while general sales analytics tools analyze CRM data, pipeline movements, and activity counts. If you want to understand whether your reps are asking discovery questions, addressing objections, or qualifying properly, you need conversation intelligence. If you primarily want to see pipeline health, forecast accuracy, or deal velocity, general analytics may suffice. The best approach: start with general analytics to identify *which* deals are being lost, then use conversation intelligence to understand *why*. Many growing companies implement both together for complete visibility. Consider starting with a tool like Dooly for pipeline visibility, then adding conversation intelligence once you've identified that sales methodology execution is a problem.
Most teams see initial improvements within 60-90 days if they commit to actually using the insights. Here's what typical implementation looks like: weeks 1-4 cover setup and call capture, weeks 5-8 reveal patterns in conversations (what actually works in your market), and weeks 9-12 reps start applying new techniques based on coaching recommendations. ROI calculations vary—if you improve win rate by 2-3%, that typically pays for the platform in 3-4 months. However, some teams see ROI through reduced sales cycles (moving deals 2-3 weeks faster) or improved deal sizes (getting better discovery in calls). The critical factor is whether your team actually acts on the insights. Tools that provide insights but get ignored produce zero ROI. RevAlign.io can help you implement conversation intelligence in a way that drives adoption and measurable results.
Call recording compliance is critical and varies significantly by region and customer base. In the US, most states follow one-party consent laws (you only need one party—the rep—to know about recording), but California, Florida, Illinois, and Pennsylvania require all-party consent, meaning you must inform the customer they're being recorded. If you sell nationally or internationally, you must handle European customers under GDPR rules (stricter consent requirements). Before selecting any conversation intelligence tool, verify: does it automatically handle compliance notifications, does it have legal review for your specific regions, are there add-ons for recording management? Most enterprise platforms handle compliance adequately, but it's a key implementation consideration. Don't assume any tool is compliant across all regions without verification from their legal or compliance team.
Ideally, you implement conversation intelligence either simultaneously with or shortly after a new CRM, not before. Here's why: conversation intelligence tools work best when they integrate tightly with your CRM, automatically creating and updating records. If you implement conversation intelligence first, you may capture great insights but waste time manually entering deal information. If you implement a CRM first, you'll have clean data structures for conversation intelligence to integrate with. The sequence should be: 1) implement CRM and let reps get comfortable entering data, 2) 1-2 months after CRM implementation, introduce conversation intelligence to improve CRM adoption (reps will see that calls are being tracked) and start capturing conversation insights. This staging prevents implementation overload while maximizing integration benefits. Many startups make the mistake of trying to do both simultaneously, which overwhelms teams and prevents proper adoption of either tool.
Conclusion
Sales conversation intelligence has evolved from a nice-to-have into essential infrastructure for teams serious about improving win rates and forecast accuracy. The 15 platforms in this guide span the spectrum from focused conversation analytics (Reckon, Pavlov) to comprehensive revenue operations platforms (Salesforce Revenue Cloud) to specialized use cases (Kantata for services, Tout for content-driven selling). Your choice depends on your specific needs: for lean growing teams wanting pipeline visibility, Dooly or Scratchpad provide immediate value. For mid-market teams ready to scale coaching and deal guidance, Aviso or Growblox deliver measurable improvements in rep performance. For enterprises requiring comprehensive revenue operations, People.ai or Salesforce Revenue Cloud integrate conversation intelligence into broader revenue management. The critical success factor isn't which platform you choose, but whether you commit to actually acting on the insights they provide. A platform that identifies coaching opportunities is worthless if managers don't deliver coaching. A tool that surfaces winning behaviors doesn't help if reps don't apply them. Start by honestly assessing whether your team's problem is visibility (what's happening in deals?) or execution (how do we actually sell?). Conversation intelligence solves visibility problems. If your primary issue is execution and methodology, you may need coaching infrastructure or sales training alongside conversation intelligence. Most successful implementations pair conversation intelligence with clear processes for translating insights into action—something RevAlign.io specializes in. Begin with a focused trial of one or two tools before committing to a platform-wide implementation.
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