Go-to-market teams face a critical challenge: visibility into what's actually happening in your pipeline. Without clear deal intelligence, you're making forecast decisions based on guesses, losing deals to competitors you didn't know existed, and missing signals that deals are slipping. The difference between teams with strong deal intelligence and those without often comes down to 10-20% variance in quota attainment. This article reviews 15 leading deal intelligence platforms that help GTM teams surface the signals buried in their CRM data, understand deal health in real time, and predict which opportunities are most likely to close. Whether you're building a RevOps function, trying to improve forecast accuracy, or looking to give your sales team visibility into deal progression, you'll find a solution in this guide.
Quick Comparison
Product
Best For
Starting Price
Rating
Key Feature
Clari
Enterprise revenue forecasting
Custom pricing
4.6/5
AI-powered deal health scoring
People.ai
Mid-market sales teams
Custom pricing
4.4/5
Activity intelligence from emails and calls
Aviso
Enterprise sales operations
Custom pricing
4.5/5
Predictive intelligence with conversational analytics
InsightSquared
Sales forecasting
Custom pricing
4.3/5
Pipeline analytics and territory planning
Dooly
Sales teams (SMB to mid-market)
$25+/user/mo
4.6/5
Deal room collaboration and deal tracking
Salesforce Einstein Analytics
Salesforce-native organizations
Custom pricing
4.4/5
Native CRM analytics and AI insights
Scratchpad
Sales productivity
Custom pricing
4.5/5
Deal notes and context capture
Pavlov
Sales coaching
Custom pricing
4.2/5
Real-time deal guidance during calls
Weflow
Sales workflow automation
Custom pricing
4.1/5
Deal workflow orchestration
Zendesk Sell
SMB sales teams
$19/user/mo
4.2/5
CRM with basic sales intelligence
Cirrus Insight
Gmail-based sales teams
$19/user/mo
4.3/5
Email tracking and activity capture
BoostUp
Sales development
Custom pricing
4.0/5
Pipeline intelligence for outbound
Kantata
Professional services
Custom pricing
4.3/5
Project and deal profitability tracking
Salesforce Revenue Cloud
Enterprise Salesforce users
Custom pricing
4.5/5
Unified revenue management platform
Vantage Point
Market intelligence
Custom pricing
4.4/5
Competitor deal tracking and insights
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Detailed Reviews
In-depth analysis of each platform to help you make the right choice.
#1
Clari
Top Pick
Best For: Enterprise sales organizations with complex, long-cycle deals
Clari stands out as the most comprehensive deal intelligence platform for enterprise GTM teams. The platform uses AI to automatically surface deal health signals from across your organization, providing real-time visibility into pipeline quality and forecast accuracy. With Revenue Orchestration at its core, Clari integrates activity data, CRM records, and conversational intelligence to create a complete picture of every deal. Enterprise teams rely on Clari for reducing forecast variance and preventing deals from slipping without visibility.
Pricing: Custom pricing (contact sales). Enterprise-only platform with multi-million dollar ARR deployments typical.
Key Features
AI-powered deal health scoring based on activity and engagement patterns
Revenue Context engine that surfaces at-risk deals automatically
Forecasting accuracy with predictive pipeline insights
Conversational intelligence from sales calls
Integration with major CRMs and business systems
Pros
+Most accurate deal health signals available—uses activity data from emails, calls, and CRM updates to score deals
+Automatically alerts teams to deals slipping or losing engagement without manual monitoring
+Powerful for preventing surprise deal losses and pipeline surprises
+Strong ROI for enterprise organizations dealing with complex, multi-stakeholder deals
Cons
-Enterprise-only pricing makes it inaccessible for startups and early-stage companies
-Lengthy implementation (4-6 months typical) and requires significant data cleanup
-Steep learning curve; demands dedicated RevOps personnel to maximize value
-Heavy lift to integrate with non-standard CRM configurations
Verdict
Clari is the top choice for enterprise GTM teams that have the budget and operational maturity to implement a sophisticated platform. If you're managing a sales organization with $50M+ ARR and need to reduce forecast variance, Clari delivers measurable value. For earlier-stage companies, the cost and implementation burden don't justify the investment.
#2
People.ai
Best For: Mid-market sales teams focused on activity-based deal intelligence
People.ai brings activity intelligence specifically designed for mid-market sales teams. Instead of relying on manual CRM updates, People.ai automatically captures activity from emails, calendar meetings, and phone calls to create an objective record of customer engagement. This activity-first approach gives GTM teams insight into which deals are progressing based on actual buyer engagement patterns rather than sales rep optimism. The platform excels at identifying stalled deals and accelerating stuck opportunities through activity data.
Pricing: Custom pricing; typically $15,000-50,000/year depending on team size and data volume
Key Features
Automatic activity capture from email, calendar, and calls
Deal health scoring based on engagement velocity
Buyer engagement tracking across all touchpoints
Predictive models for deal closure probability
Sales coaching recommendations based on activity patterns
Pros
+Eliminates CRM data entry burden by automatically capturing activity—sales reps spend less time on admin
+Highly accurate deal health signals because they're based on actual buyer engagement, not rep predictions
+Identifies stalled deals much earlier than traditional forecasting methods
+Works across email platforms (Gmail, Outlook) and phone systems with minimal setup
+Strong pricing relative to enterprise competitors; accessible for Series A/B companies
Cons
-Requires email and calendar integration which some enterprises restrict for compliance reasons
-Less mature forecasting capabilities compared to Clari
-Implementation still requires 6-8 weeks to configure activity rules and deal stages
-Reporting interface less intuitive than some competitors; steep learning curve for RevOps teams
Verdict
People.ai is an excellent choice for mid-market GTM teams that want activity-based deal intelligence without enterprise complexity. If your team struggles with CRM data quality or wants objective signals instead of rep predictions, People.ai delivers immediate value. Best suited for companies with $5-50M ARR and sales teams using Gmail or Outlook.
#3
Dooly
Best For: SMB to mid-market sales teams prioritizing user adoption and collaboration
Dooly takes a different approach to deal intelligence by focusing on deal room collaboration and real-time deal tracking within the tools sales teams already use. Rather than forcing reps into a separate analytics interface, Dooly lives in Slack and works alongside Salesforce to surface deal context at the moment reps need it. The platform emphasizes making deal data actionable for individual sales reps while also providing ops teams with pipeline visibility. Dooly is particularly strong for teams that value user adoption and making deal intelligence a daily habit.
Pricing: $25-40 per user per month depending on features; transparent pricing makes it accessible for smaller teams
Key Features
Deal rooms in Slack with automated deal updates and notes
Instant deal summaries showing activity, next steps, and status
Integration with Salesforce and HubSpot for real-time data sync
Sales rep dashboards showing personal pipeline health
Automation of deal updates based on defined rules
Pros
+Per-seat pricing is transparent and predictable; easier budget planning for startup CFOs
+Highest user adoption rate in the category because it lives in Slack where reps already work
+Deal rooms create collaborative environment; helps prevent deals from falling through cracks
+Minimal setup time (2-3 weeks typical); much faster than enterprise platforms
+Strong for remote and distributed sales teams who need asynchronous deal collaboration
Cons
-Deal intelligence capabilities less advanced than AI-powered competitors like Clari
-Forecasting accuracy improvements are modest (2-3% variance reduction typical)
-Doesn't automatically capture activity; still relies on CRM updates and manual data entry
-Limited support for non-Salesforce CRM systems; weaker with HubSpot compared to Salesforce
Verdict
Dooly is the best choice for Series A/B companies and SMB sales teams that want deal visibility without complexity. If you're struggling with CRM adoption or want to make pipeline conversations part of your daily Slack workflow, Dooly delivers. Strong ROI for teams under 25 salespeople; may need to supplement with additional forecasting tools at larger scales.
#4
Aviso
Best For: Enterprise sales organizations focused on predictive forecasting and sales coaching
Aviso brings together predictive intelligence and conversational analytics to give GTM teams both backward-looking deal diagnostics and forward-looking closure predictions. The platform analyzes past deals to identify patterns that lead to wins or losses, then applies those patterns to current pipeline. Aviso's conversational analytics feature provides granular insights from sales calls, identifying objection handling and buying signals that correlate with deal success. For enterprise teams focused on sales coaching and deal velocity, Aviso provides actionable, rep-level insights.
Pricing: Custom pricing; enterprise-tier solution typically $50,000-200,000 annually
Key Features
Predictive deal closure probability with machine learning models
Conversational intelligence extracting insights from recorded sales calls
Win/loss analysis identifying patterns in closed deals
Recommended next actions for individual deals
Sales coaching insights based on call patterns and outcomes
Pros
+Predictive accuracy is exceptional; customers report 85%+ forecast accuracy with Aviso
+Conversational intelligence provides coaching insights reps actually use to improve deals
+Win/loss analysis identifies what actually drives success in your market, not generic patterns
+Excellent for competitive displacement identification through conversation analysis
+Strong ROI for organizations prioritizing forecast accuracy above all else
Cons
-Enterprise pricing puts it out of reach for most Series A/B companies
-Call recording and transcription requirement creates compliance and privacy considerations
-Implementation is complex; requires 3-4 months and significant change management
-Conversational intelligence only works with recorded calls; real-time insights are limited
Verdict
Aviso is ideal for enterprise GTM teams with 50+ salespeople and budgets for sophisticated forecasting infrastructure. If you're managing complex enterprise sales with significant forecast variance, Aviso's predictive models and conversational intelligence deliver measurable improvements. Not recommended for teams under 30 salespeople due to cost structure.
#5
InsightSquared
Best For: Sales operations leaders managing pipeline analytics and territory planning
InsightSquared is a purpose-built pipeline and forecasting analytics platform that focuses specifically on giving GTM leaders the visibility and tools they need to manage sales operations. The platform excels at historical trend analysis, territory planning, and pipeline staging visibility. InsightSquared is particularly strong for organizations that want to move beyond Salesforce's native reporting capabilities but need solutions more accessible than enterprise-tier competitors. The platform helps ops leaders diagnose pipeline problems and implement data-driven improvements.
Pricing: Custom pricing starting around $25,000 annually; scales with data volume
Key Features
Advanced pipeline analytics with drill-down capabilities
Territory design and alignment optimization tools
Sales rep performance benchmarking
Historical trend analysis for forecasting
Custom report building with no-code interface
Pros
+Significantly more powerful than Salesforce native reporting without the enterprise complexity of Clari
+Territory planning tools save ops teams hundreds of hours on manual analysis
+Quick implementation (4-6 weeks typical) makes it accessible for mid-market companies
+Pricing is reasonable for mid-market; good value relative to capabilities
+Excellent for identifying systemic pipeline problems (leakage, rep productivity gaps)
Cons
-Doesn't include predictive intelligence or AI-powered deal health scoring
-Limited deal-level insights; better for big-picture pipeline analysis
-Requires strong data hygiene in Salesforce; doesn't fix bad CRM data
-Historical focus means it's less useful for preventing individual deal losses
Verdict
InsightSquared is the best choice for mid-market GTM leaders who need pipeline analytics and don't want to implement enterprise-tier platforms. If your challenge is understanding why certain territories underperform or diagnosing sales process inefficiencies, InsightSquared delivers. Ideal for companies with $5-50M ARR and a dedicated RevOps function.
#6
Scratchpad
Best For: Sales teams focused on improving deal note quality and context capture
Scratchpad takes a different approach by focusing on deal context capture—the idea that deal intelligence is only valuable if reps accurately record context and next steps. The platform streamlines note-taking during calls and meetings, automatically organizing information into structured deal records. Scratchpad emphasizes making it easier for reps to capture deal context rather than trying to infer context from CRM data. For organizations struggling with poor CRM hygiene, Scratchpad can be a foundational layer that improves data quality across the organization.
Pricing: Custom pricing; typically $15,000-40,000 annually
Key Features
Guided deal note templates with context prompts
Integration with Salesforce for automatic record updates
Call recording integration with note suggestions
Deal stage automation based on captured context
Team and manager dashboards showing captured context
Pros
+Dramatically improves CRM data quality by making note-taking frictionless
+Reps actually use it because it helps them remember deal details, not just for managers
+Affordable for early-stage companies; good foundation for future intelligence layers
+Works well in combination with other platforms to improve underlying data quality
Cons
-Doesn't include forecasting or predictive intelligence
-Limited to improving rep behavior; doesn't surface hidden signals like activity-based platforms
-Only as good as the context reps choose to capture; can't fix unmotivated teams
-Less useful for organizations that already have strong CRM discipline
Verdict
Scratchpad is best for Series A/B companies or teams with poor CRM adoption where the first priority is improving data quality. If your reps aren't using your CRM effectively and you need to build a foundation of deal context before implementing advanced intelligence, Scratchpad is worth considering. More of a productivity tool than a deal intelligence platform.
#7
Salesforce Einstein Analytics
Best For: Mid-market Salesforce-native organizations seeking native analytics
For organizations already committed to the Salesforce ecosystem, Einstein Analytics brings AI-powered insights directly into Salesforce without requiring a separate platform. Einstein uses machine learning to identify trends in pipeline data and surfaces recommendations for individual deals. The platform benefits from tight integration with Salesforce data and works well for companies with existing Salesforce investments. However, Einstein's insights are often less sophisticated than specialized competitors and work best for organizations with limited analytics teams.
Pricing: Custom pricing starting around $5,000-10,000 annually; scales with CRM seats
Key Features
Native Salesforce integration without separate platform
AI-powered opportunity insights and recommendations
Predictive lead scoring and opportunity scoring
Custom dashboard building with natural language interface
Integration with other Salesforce products
Pros
+Zero implementation burden; already in your Salesforce instance
+No data integration required; works directly with your Salesforce data
+Lower cost than specialized platforms
+Familiar interface for Salesforce administrators and users
+Works well as first step before committing to specialized platforms
Cons
-Intelligence capabilities significantly less advanced than Clari, Aviso, or People.ai
-Insights quality depends heavily on Salesforce data quality
-Limited customization; can't easily adapt models to your specific sales process
-Doesn't capture activity outside Salesforce; relies on manual CRM updates
-Forecasting accuracy improvements typically modest (1-2% variance reduction)
Verdict
Einstein Analytics makes sense only if you're already deeply committed to Salesforce and want to avoid adding another platform. It's a reasonable first step for data exploration but will likely disappoint teams serious about deal intelligence. For most organizations, specialized competitors deliver significantly more value despite the additional integration effort.
#8
Vantage Point
Best For: GTM teams focused on market intelligence and competitive positioning
Vantage Point brings a unique angle to deal intelligence by focusing on market-level insights and competitive deal tracking. Rather than analyzing your internal pipeline in isolation, Vantage Point surfaces information about deals happening across your market, competitor movements, and account-level trends. This market intelligence layer helps GTM teams understand their competitive position and identify accounts showing buying signals in their industry. Vantage Point is particularly valuable for teams focused on account-based marketing and competitive strategies.
Pricing: Custom pricing; typically $30,000-100,000 annually depending on market coverage
Key Features
Market-level deal tracking and win/loss insights
Competitor movement monitoring and detection
Account-level buying signal detection
Industry and vertical trend analysis
Integration with CRM for deal mapping
Pros
+Provides market context that internal platforms can't deliver
+Excellent for account-based marketing and territory planning with market data
+Helps identify accounts in buying mode before they reach out
+Competitive intelligence helps teams understand loss patterns
+Strong for positioning and messaging decisions based on market trends
Cons
-Market data quality varies significantly by region and vertical
-Less useful for product-market fit validation; better for mature markets
-Requires integration with CRM to be actionable; standalone value is limited
-Price point can be difficult to justify against internal deal intelligence investment
Verdict
Vantage Point is best for mature GTM organizations (Series B+) that want to layer market intelligence on top of internal pipeline visibility. If your strength is ABM and account selection, and you need market signals to inform strategy, Vantage Point adds value. Less essential for organizations primarily focused on improving internal deal management.
Frequently Asked Questions about best deal intelligence platforms for gtm teams
Deal intelligence platforms focus on understanding the health and probability of individual deals in real time, using activity data, engagement signals, and machine learning to surface at-risk deals before they slip. Forecasting tools aggregate deal data to predict total pipeline revenue and revenue by period. The best modern platforms combine both: they provide deal-level intelligence (which deals are healthy?) and forecasting accuracy (how much revenue will we actually close?). Deal intelligence helps reps and managers identify specific interventions needed on individual opportunities. Forecasting helps leadership predict outcomes at the organizational level. Some platforms like Clari, Aviso, and InsightSquared handle both well, while others focus on one dimension. For GTM teams, deal-level intelligence typically drives immediate operational improvements while forecasting accuracy becomes more important as you scale.
Traditional forecasting relies on rep predictions of deal probability, which are notoriously optimistic. Activity-based platforms like People.ai bypass rep predictions by measuring actual buyer engagement: email interactions, meeting attendance, response times, and conversation patterns. These objective signals correlate much more strongly with deal closure than rep confidence. For example, a deal with declining email engagement and no recent meetings is likely to slip regardless of the rep's probability forecast. Activity platforms identify these patterns automatically, often predicting deal slippage 2-3 weeks earlier than traditional methods. Research shows activity-based platforms reduce forecast variance by 5-15%, depending on your sales process. The key is that these platforms provide leading indicators of deal health based on buyer behavior rather than lagging indicators like rep updates. For GTM teams, this translates to better visibility into which deals will actually close and which ones need intervention.
Series A companies should prioritize ease of implementation, transparency pricing, and user adoption over feature richness. We recommend Dooly or Scratchpad for this stage. Dooly ($25-40/user/month) is ideal if you have 10-25 salespeople and want deal visibility without significant ops overhead. It lives in Slack, so adoption is natural, and implementation takes 2-3 weeks. Scratchpad works well if your primary challenge is poor CRM data quality; it improves note discipline without requiring complex setup. We'd recommend avoiding enterprise platforms (Clari, Aviso) at Series A because the implementation burden and cost ($50K+) divert resources from revenue generation. If you need predictive intelligence, People.ai offers a middle ground with activity-based scoring and reasonable pricing. Most Series A teams should focus first on clean data and consistent sales process before investing in sophisticated intelligence platforms.
Integration support varies significantly by platform. Clari, Aviso, Dooly, and InsightSquared all support both Salesforce and HubSpot, though Salesforce integrations are typically more mature. People.ai works well with HubSpot through API integration. However, the depth of integration matters more than availability: Salesforce integrations tend to be cleaner because the CRM structure is more consistent across organizations, while HubSpot implementations sometimes require custom field mapping. If you're using HubSpot, test integrations thoroughly during vendor evaluation because data syncing can be problematic if your HubSpot instance has non-standard customizations. For SMBs using HubSpot, Dooly remains our recommendation because it handles HubSpot reasonably well and prioritizes simplicity. Larger organizations on HubSpot should discuss integration depth with vendors before committing, as some platforms' HubSpot support lags their Salesforce capabilities.
Timeline depends significantly on platform sophistication and your organization's readiness. Platforms like Dooly and Scratchpad can show value within 4-6 weeks because they improve user behavior quickly: reps see benefits immediately through better deal organization or context capture. Activity-based platforms like People.ai typically show value in 8-12 weeks as the system learns engagement patterns and begins surfacing reliable deal health signals. Enterprise platforms like Clari and Aviso require 16-24 weeks to deliver strong ROI because they need clean data, dedicated ops resources to configure, and time for the ML models to mature. The fastest ROI comes when you solve an acute pain point (poor CRM adoption, deal visibility) rather than trying to move the needle on forecast accuracy overall. We recommend starting with a pilot focused on one sales team or region to demonstrate value before rolling out organization-wide. Most customers see 5-15% improvement in forecast variance within 6 months, but the real wins come from preventing surprise deal losses and identifying at-risk deals early.
Conclusion
Deal intelligence has become table stakes for GTM teams serious about competitive positioning and forecast accuracy. The best platform for your organization depends on your maturity stage, budget, and specific operational challenges. For enterprise organizations with sophisticated sales operations, Clari and Aviso deliver the most comprehensive intelligence and strongest ROI despite significant implementation costs. Mid-market teams should focus on platforms like People.ai, Dooly, or InsightSquared depending on whether you prioritize activity-based signals, user adoption, or pipeline analytics. Series A/B companies should start with lighter platforms like Scratchpad or Dooly to build strong data foundations before committing to complex systems. The critical insight: deal intelligence only adds value if your team actually uses it. User adoption matters more than feature completeness, which is why we consistently recommend companies choose platforms that fit naturally into existing workflows rather than platforms that require significant process change. If you're implementing a deal intelligence platform, consider working with RevAlign.io to ensure you're configuring systems correctly and driving adoption across your team. The platform you choose matters far less than your willingness to act on the insights it provides—commit to using deal intelligence operationally, and you'll see forecast improvements regardless of which platform you select.
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