Best Predictive Sales Analytics for B2B in 2024

Best Predictive Sales Analytics for B2B in 2024

Updated July 20, 20263,633 words9 tools compared

Predictive sales analytics has moved from nice-to-have to essential for B2B companies competing in compressed sales cycles. Rather than relying on gut feel or lagging indicators, modern sales leaders use AI-powered platforms to forecast revenue with precision, identify at-risk deals before they slip, and allocate resources to high-probability opportunities.

But choosing the right predictive analytics platform is complicated. The market has fragmented into category specialists—some focus on deal intelligence, others on compensation modeling or pipeline management. Each claims to drive better outcomes, but implementation complexity, integration requirements, and learning curves vary dramatically.

This guide compares 15 leading predictive sales analytics platforms specifically designed for B2B organizations. We'll evaluate each based on core functionality, pricing transparency, ease of adoption, and real-world applicability for growing sales teams. Whether you're evaluating your first analytics solution or replacing an incumbent platform, this breakdown will help you identify the best fit for your organization.

Quick Comparison

ProductBest ForStarting PriceRatingKey Feature
AvisoEnterprise sales teamsCustom pricingRead reviews on G2 →AI-powered deal coaching and revenue intelligence
People.aiPipeline visibility and deal analyticsCustom pricingRead reviews on G2 →Autonomous data capture with predictive insights
XactlySales compensation and performanceCustom pricingRead reviews on G2 →Incentive compensation management with forecasting
Salesforce Einstein AnalyticsSalesforce-native organizationsStarting at $25/user/monthRead reviews on G2 →Native CRM analytics and AI predictions
GrowbloxMid-market sales operationsCustom pricingRead reviews on G2 →Sales forecasting and pipeline management
DoolySales team collaboration$25/user/monthRead reviews on G2 →Deal collaboration with real-time pipeline sync
ScratchpadSales rep productivityStarting at $25/user/monthRead reviews on G2 →Deal workspace with predictive intelligence
ReckonSales forecastingCustom pricingRead reviews on G2 →AI-driven revenue forecasting
ToutSales engagement analyticsCustom pricingRead reviews on G2 →Rep activity tracking and analytics
WeflowComplex sales workflowsCustom pricingRead reviews on G2 →Workflow automation with predictive routing
BoostUpSales team motivationCustom pricingRead reviews on G2 →Gamification with performance analytics
PavlovSales training and coachingCustom pricingRead reviews on G2 →AI coaching with call intelligence
KantataProfessional servicesCustom pricingRead reviews on G2 →Resource forecasting and project analytics
Salesforce Revenue CloudEnterprise revenue operationsCustom pricingRead reviews on G2 →Unified revenue intelligence platform
Zendesk SellSMB and mid-market salesStarting at $19/user/monthRead reviews on G2 →Sales CRM with predictive scoring

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Detailed Reviews

In-depth analysis of each platform to help you make the right choice.

#1

Aviso

Top Pick

Best For: Enterprise sales teams managing $100M+ pipelines with complex, multi-stakeholder deals

Aviso combines deal intelligence with AI-powered coaching to help sales leaders manage complex pipelines and improve deal quality. The platform automatically analyzes every interaction and flag risks before deals slip, making it especially valuable for enterprise B2B organizations with long sales cycles and high deal variance. Aviso's strength lies in its ability to surface actionable insights from unstructured communication data.

Pricing: Custom enterprise pricing; typical implementations start at $50K+ annually for larger organizations

Key Features

  • Real-time deal risk assessment
  • AI-powered sales coaching
  • Opportunity insights from customer communications
  • Predictive win/loss scoring
  • Revenue intelligence dashboards

Pros

  • +Accurate risk detection prevents pipeline surprises
  • +Coaching recommendations are specific and contextual
  • +Integration with major email and calendar systems requires no manual data entry
  • +Executive dashboards provide visibility without overwhelming detail

Cons

  • -Steep learning curve for sales reps unfamiliar with AI coaching
  • -Requires consistent CRM hygiene to achieve full value
  • -Implementation typically takes 3-4 months for enterprise deployments

Verdict

Aviso excels for enterprise organizations willing to invest in adoption and culture change around data-driven coaching. The AI-powered risk detection is particularly valuable for high-value B2B deals where missed signals translate to significant revenue impact. This is a best-in-fit choice for large, sophisticated sales organizations.

#2

People.ai

Best For: Organizations struggling with CRM adoption and data quality, especially those with remote or distributed teams

People.ai automates data capture across email, calls, and calendar interactions, then applies predictive AI to forecast deal outcomes and identify process gaps. The autonomous data collection eliminates the manual CRM logging that plagues most sales organizations, providing a more complete and accurate picture of deal health. The platform's strength is turning communication data into predictive signals that reps and managers can act on immediately.

Pricing: Custom pricing based on seat count and company size; typically $30K-$100K annually for mid-market companies

Key Features

  • Autonomous data capture from email and calls
  • Engagement analytics by buyer stakeholder
  • Deal prediction models updated daily
  • Rep activity tracking and coaching insights
  • Automated CRM field population

Pros

  • +Dramatically reduces manual CRM data entry burden on reps
  • +Deal predictions reflect actual communication, not just stage movements
  • +Identifies which buyer stakeholders are engaged and influencing decisions
  • +Works across email and calendar regardless of CRM

Cons

  • -Requires integration permissions that some IT teams resist
  • -Data privacy considerations around email/call recording require careful governance
  • -Steep pricing for smaller teams (<20 reps) makes ROI harder to justify

Verdict

People.ai is exceptional for B2B organizations with existing CRM adoption challenges or poor data quality. The autonomous data capture saves significant administrative time while improving forecast accuracy. Best suited for sales organizations where reps frequently miss CRM updates and data freshness is a persistent problem.

#3

Salesforce Einstein Analytics

Best For: Salesforce-standardized enterprises seeking to maximize their CRM investment with minimal new infrastructure

Einstein Analytics embeds AI-powered predictions directly into the Salesforce ecosystem, providing native deal scoring, opportunity analytics, and revenue forecasting without requiring separate platform integration. For organizations already standardized on Salesforce, Einstein offers significant convenience since it connects to existing data without external API layers. The platform combines historical CRM data with AI to surface patterns and anomalies that signal deal risk or acceleration.

Pricing: Starts at approximately $25 per user per month for Analytics Cloud, plus Salesforce CRM licensing ($75-$500+ per user depending on edition)

Key Features

  • Native Salesforce deal scoring and prediction
  • Customizable analytics dashboards
  • Forecasting with trend analysis
  • Anomaly detection for at-risk deals
  • Executive reporting templates

Pros

  • +Zero integration complexity for Salesforce orgs
  • +Predictions based on your actual historical Salesforce data
  • +Native interface reduces training overhead for existing Salesforce users
  • +Pricing is predictable and scales with Salesforce licenses

Cons

  • -Limited effectiveness if Salesforce data quality is poor
  • -Customization requires Salesforce administrator or consultant involvement
  • -Lacks autonomous data capture from emails/calls outside Salesforce ecosystem

Verdict

Einstein Analytics is the right choice if you're already committed to Salesforce and have solid data hygiene. It delivers genuine value without adding complexity, but it's only as good as the CRM data feeding it. Organizations with messy Salesforce implementations should fix foundational data issues before implementing Einstein.

#4

Xactly

Best For: Mid-market to enterprise organizations needing sophisticated commission tracking and quota-based forecasting

Xactly specializes in sales compensation and performance management with integrated forecasting and pipeline analytics. The platform helps organizations model different compensation structures, track performance against quotas, and forecast revenue based on rep-level data. For B2B companies managing distributed sales teams with varying quota attainment, Xactly provides transparency into performance patterns that inform both compensation design and pipeline management.

Pricing: Custom pricing; typical implementations range from $40K-$200K+ annually depending on org size and module selections

Key Features

  • Incentive compensation management
  • Quota management and tracking
  • Sales forecasting integrated with comp data
  • Performance analytics by rep and territory
  • Plan modeling and scenario analysis

Pros

  • +Eliminates spreadsheet-based compensation tracking and forecasting
  • +Performance data directly informs pipeline forecasts
  • +Scenario planning helps leaders test commission structure changes before implementing
  • +Scalable for organizations with complex compensation plans

Cons

  • -Implementation is data-intensive and requires significant sales ops resources
  • -System requires accurate quota and commission data to be valuable
  • -Learning curve for non-finance team members who interact with system

Verdict

Xactly is the best choice for organizations where compensation complexity drives forecasting needs. It's particularly valuable for companies with variable commissions, tiered quotas, or SPIFs that make manual forecasting untenable. Not recommended for simple, flat commission structures where spreadsheets suffice.

#5

Dooly

Best For: Mid-market B2B organizations seeking lightweight pipeline visibility and rep-friendly collaboration tools

Dooly provides a lightweight collaboration workspace that keeps sales deals visible and forecasts synchronized without requiring reps to visit a separate analytics system. The platform captures deal updates in a deal workspace and automatically syncs to Salesforce, then provides pipeline analytics and deal scoring. Dooly's appeal is its accessibility—it meets reps where they work rather than forcing them to navigate a complex analytics interface.

Pricing: Starts at approximately $25 per user per month with annual commitment, scales to $50+ per user for larger teams

Key Features

  • Deal workspace collaboration
  • One-way sync to Salesforce
  • Deal board with drag-and-drop stage management
  • Real-time pipeline visibility
  • Deal scoring and health indicators

Pros

  • +Minimal training required—interface is intuitive for sales reps
  • +Solves the real problem of outdated CRM data by making updates frictionless
  • +Affordable enough for smaller sales teams
  • +Clear focus on solving rep and manager workflows rather than overengineering analytics

Cons

  • -Forecasting accuracy depends entirely on rep discipline in updating deals
  • -Limited predictive intelligence compared to AI-powered competitors
  • -One-way Salesforce sync means custom fields can't always sync back

Verdict

Dooly excels for organizations that prioritize pipeline visibility and rep adoption over advanced predictive modeling. It's a strong choice if your primary challenge is CRM data freshness rather than forecast accuracy. Best suited for teams with 5-30 reps where simplicity outweighs the need for sophisticated AI predictions.

#6

Scratchpad

Best For: Sales teams managing complex, multi-threaded deals where deal context and buyer status tracking are critical

Scratchpad positions itself as a deal workspace that centralizes opportunity information and adds predictive intelligence on top. The platform combines deal management with opportunity insights, helping sales teams organize complex deals and surface risk signals. Scratchpad's focus is on rep-facing analytics that highlight which deals need attention without burying information in executive dashboards.

Pricing: Starting at approximately $25 per user per month

Key Features

  • Unified deal workspace
  • Buyer stakeholder tracking
  • Deal health scoring
  • Integration with Salesforce and email
  • Activity timeline and history

Pros

  • +Consolidates deal information in one place rather than scattered across email and CRM
  • +Buyer tracking helps reps understand stakeholder status and influence
  • +Clean, intuitive interface reduces training burden
  • +Good value at entry-level pricing

Cons

  • -Prediction capabilities are less advanced than dedicated analytics platforms
  • -Effectiveness depends on rep discipline in updating workspace
  • -Limited executive reporting compared to enterprise platforms

Verdict

Scratchpad is a solid choice for teams that need better deal organization and stakeholder visibility without the complexity of enterprise analytics platforms. It bridges the gap between lightweight tools like Dooly and heavyweight platforms like Aviso. Best for organizations with 10-50 reps managing deals with multiple buyer stakeholders.

#7

Zendesk Sell

Best For: Mid-market B2B companies needing a complete CRM solution with predictive capabilities at accessible pricing

Zendesk Sell is a full-featured sales CRM with predictive scoring and pipeline analytics designed for growing B2B organizations. The platform combines lead and deal management with forecasting, providing an all-in-one solution for teams that need CRM functionality plus predictive insights. Zendesk's strength is delivering complete sales stack functionality at a mid-market price point without requiring external integrations for basic analytics.

Pricing: Starts at $19 per user per month for Team plan; predictive features included at $49+ per user per month for Professional plan

Key Features

  • Lead scoring and deal prediction
  • Email integration and templates
  • Activity tracking and analytics
  • Pipeline forecasting
  • Mobile sales app

Pros

  • +Affordable all-in-one solution eliminates need to stitch together multiple platforms
  • +Predictive scoring is built-in rather than bolted on
  • +Strong mobile experience for field sales teams
  • +Straightforward implementation compared to enterprise platforms

Cons

  • -Forecast accuracy is limited by CRM data quality
  • -Customization options are more restricted than Salesforce
  • -Reporting and analytics are simpler than dedicated platforms

Verdict

Zendesk Sell is the best choice for growing B2B companies that don't want the complexity or cost of Salesforce but need more than a lightweight pipeline tool. The included predictive scoring and affordable pricing make it a practical entry point to data-driven sales management for teams with 10-100 reps.

#8

Reckon

Best For: Sales organizations struggling with forecast accuracy or dealing with volatile deal velocity

Reckon specializes in AI-driven sales forecasting, helping organizations predict revenue with greater accuracy by analyzing historical deal patterns, rep performance, and market signals. The platform focuses specifically on the forecasting problem rather than trying to be an all-in-one system, making it a targeted choice for companies where forecast accuracy is a critical pain point.

Pricing: Custom enterprise pricing

Key Features

  • AI-powered revenue forecasting
  • Deal pattern analysis
  • Historical performance modeling
  • Anomaly detection in pipeline
  • Scenario planning and forecasts

Pros

  • +Dedicated focus on forecasting means prediction algorithms are optimized specifically for that problem
  • +Works with historical data to uncover patterns humans miss
  • +Scenario planning helps model impact of market changes

Cons

  • -Requires clean historical data to train models effectively
  • -Best results appear only after 1-2 quarters of system operation
  • -Standalone tool requires integration with existing CRM and tools

Verdict

Reckon is the right choice if forecast accuracy is your primary problem and you're willing to invest in a specialized tool. It's less suitable for organizations seeking a comprehensive analytics platform or those with limited historical data quality. Works best as a complement to existing CRM systems rather than a replacement.

#9

Salesforce Revenue Cloud

Best For: Enterprise organizations with dedicated revenue operations teams and complex, multi-territory sales structures

Salesforce Revenue Cloud is an enterprise-grade revenue operations platform that unifies forecasting, territory management, and revenue intelligence across the entire GTM organization. It's designed for large, complex sales organizations where revenue operations needs specialized tools for planning, modeling, and optimization. Revenue Cloud integrates with Salesforce core and Einstein Analytics to provide comprehensive visibility across all revenue-generating activities.

Pricing: Custom enterprise pricing; implementations typically involve significant professional services investment

Key Features

  • Territory management and optimization
  • Collaborative forecasting
  • Revenue intelligence and analytics
  • Integration with Salesforce ecosystem
  • Quota and incentive planning

Pros

  • +Unified platform reduces data fragmentation across sales, marketing, and finance
  • +Territory optimization algorithms help maximize rep productivity
  • +Collaborative forecasting brings sales and finance alignment
  • +Enterprise-grade security and compliance

Cons

  • -Very steep implementation timeline and cost
  • -Requires significant change management and process redesign
  • -Overkill for organizations without sophisticated revenue operations needs

Verdict

Revenue Cloud is appropriate only for large, mature organizations with dedicated revenue ops teams and the budget to support enterprise implementations. For mid-market and smaller organizations, the cost and complexity outweigh benefits. Best viewed as a strategic investment for companies with $100M+ revenue and complex GTM structures.

Frequently Asked Questions about best predictive sales analytics for b2b

Traditional CRM reporting shows you what happened—closed deals, lost opportunities, average deal size—using historical data. Predictive analytics uses that historical data plus machine learning to forecast what will happen next. For example, a CRM report shows you closed 10 deals last month averaging $50K. Predictive analytics analyzes buyer engagement patterns, deal velocity, and stakeholder involvement in those deals to forecast that your current pipeline will close $500K of the $1.2M in your forecast. The key difference is actionability: predictive platforms flag at-risk deals before they slip and identify which opportunities are accelerating, enabling proactive management rather than reactive reporting. For B2B sales, this distinction matters significantly because long sales cycles mean early intervention can dramatically impact outcomes.

Costs vary dramatically based on platform type and company size. Lightweight tools like Dooly and Zendesk Sell start around $25-50 per user per month, making them accessible for teams of any size. Mid-market platforms like People.ai and Aviso typically cost $30K-$100K annually depending on organization size. Enterprise platforms like Salesforce Revenue Cloud or custom implementations start at $100K+ annually and can reach several hundred thousand dollars with professional services. For a 20-person sales team, budget $500-2,000 monthly for lightweight solutions or $2,500-8,000+ monthly for comprehensive platforms. The key is matching investment level to pain point severity. If forecast accuracy is costing you $1M+ annually in misaligned resources or missed targets, a $100K platform investment becomes logical. If your main problem is pipeline visibility, a $25/user tool may suffice.

Implementation timeline and ROI realization depend heavily on platform complexity and your starting data quality. Lightweight tools like Dooly can be live in 2-4 weeks with immediate visibility improvements, though forecast accuracy improvements take 60+ days as reps adjust to new processes. Mid-market platforms typically take 8-12 weeks for full deployment, with measurable forecast accuracy improvements appearing after 1-2 quarters once the system has learned your historical patterns. Enterprise implementations can span 4-6 months or longer. ROI appears first through process improvements (less time building forecasts) and visibility gains (fewer pipeline surprises), typically realizing within 6 months. Actual revenue impact from better forecasting, earlier risk detection, and improved deal management usually materializes in months 2-4. The critical success factor is data quality—if your CRM data is poor, ROI timelines extend significantly as you'll need to invest in data cleanup first.

Yes, but with important caveats. Most standalone analytics platforms (Aviso, People.ai, Reckon, Xactly) integrate with multiple CRMs including HubSpot, Pipedrive, and others through APIs and connectors. However, integration depth and out-of-the-box functionality vary. Salesforce-native platforms like Einstein Analytics and Revenue Cloud work optimally with Salesforce data. If you're using a non-Salesforce CRM, confirm that your target platform has active integration support and that integration doesn't require heavy custom development. Some platforms like People.ai actually prefer non-Salesforce users because their autonomous data capture from email/calls reduces reliance on CRM data accuracy. The key limitation appears when platforms depend heavily on CRM field population for predictions—if your CRM doesn't track certain fields, the platform can't factor them into predictions. Test integration scenarios with your current CRM before committing to any platform.

The choice depends on your primary pain point. If your main issue is knowing which deals are at risk and need management attention, choose a deal intelligence platform (Aviso, People.ai, Scratchpad) that surfaces risk signals and buyer engagement patterns. These platforms help managers coach reps on specific opportunities. If your primary challenge is forecast accuracy and you're struggling to predict quarterly or annual revenue reliably, choose a forecast-focused platform (Reckon, Xactly) that models historical patterns and predicts outcomes. Some organizations need both capabilities, in which case larger platforms like Salesforce Revenue Cloud or Aviso provide both. A practical approach: start by identifying your costliest problem. If missed deals or forecast surprises are damaging your credibility with finance and executive teams, invest in deal intelligence. If your forecasts are consistently wrong and creating resource misalignment, start with forecasting. Most organizations eventually need both capabilities, so consider how platforms stack if you plan to expand later.

Conclusion

Choosing the right predictive sales analytics platform requires honest assessment of your current pain points, data readiness, and organizational sophistication. For startups and early-stage companies (seed to Series A) with limited sales team complexity, Zendesk Sell or Dooly provide immediate value without overwhelming implementation burden. Mid-market B2B organizations managing $10M-$100M pipelines should evaluate Aviso, People.ai, or Salesforce Einstein Analytics depending on whether you're Salesforce-standardized and whether autonomous data capture versus native CRM integration matters more to your team.

Enterprise organizations with dedicated revenue operations teams and complex GTM structures have options like Salesforce Revenue Cloud or comprehensive Aviso deployments that unify forecasting, territory management, and revenue intelligence. The key decision factor isn't the platform's feature list but rather how well it matches your team's adoption readiness, data quality maturity, and the specific revenue problem you're trying to solve.

Regardless of platform selection, implementation success depends on three factors: clean historical data to train predictions on, sales team discipline in maintaining accurate CRM information, and management commitment to acting on insights the platform surfaces. Organizations investing in predictive analytics without addressing foundational data quality issues will see disappointing results. Consider tools like RevAlign.io to help with implementation planning, data preparation, and adoption strategy—these decisions are too important to leave to vendor guidance alone. Start with a clear hypothesis about what predictive capability will drive the biggest impact for your organization, measure results rigorously, and adjust your approach based on what you learn.

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