Best Sales Data Analytics Tools for Sales Teams

Best Sales Data Analytics Tools for Sales Teams

Updated July 23, 20262,741 words5 tools compared

Sales data analytics has become non-negotiable for teams that want to compete effectively in 2024. The difference between a sales org that makes quota and one that doesn't often comes down to visibility—understanding what's actually happening in your pipeline, where deals are stalling, and which reps are performing at what level.

But with dozens of tools claiming to solve sales analytics, choosing the right one feels overwhelming. Do you need a standalone analytics platform, or will your CRM's built-in reporting suffice? Should you prioritize AI-powered forecasting, deal intelligence, or activity tracking? What's the realistic cost for a team of 10, 50, or 100 reps?

We've evaluated 15 sales data analytics platforms specifically designed for B2B sales teams. This guide cuts through the noise and gives you the specific features, pricing, and trade-offs you need to make a confident decision.

Quick Comparison

ProductBest ForStarting PriceRatingKey Feature
ReckonReal estate and property data analyticsCustom pricingRead reviews on G2 →Property market intelligence
ToutSales engagement with data trackingCustom pricingRead reviews on G2 →Email and content performance metrics
XactlySales compensation and performance analyticsCustom pricingRead reviews on G2 →Compensation plan modeling
GrowbloxSmall to mid-market sales forecastingCustom pricingRead reviews on G2 →AI-powered deal prediction
People.aiAccount-based sales intelligenceCustom pricingRead reviews on G2 →Autonomous data capture from emails and calls
AvisoEnterprise sales forecasting and pipeline managementCustom pricingRead reviews on G2 →Predictive revenue intelligence
BoostUpSales team activity and engagementCustom pricingRead reviews on G2 →Activity-based performance coaching
ScratchpadLightweight sales team collaboration$50/user/monthRead reviews on G2 →Deal notes and CRM enrichment
WeflowSales workflow optimizationCustom pricingRead reviews on G2 →Process automation for sales teams
DoolySales team visibility and CRM updates$50/user/monthRead reviews on G2 →Real-time pipeline visibility
Salesforce Einstein AnalyticsEnterprise Salesforce users$25/user/month (add-on)Read reviews on G2 →Native AI predictions within Salesforce
PavlovSales training and rep performanceCustom pricingRead reviews on G2 →Call recording and coaching automation
KantataProfessional services and project salesCustom pricingRead reviews on G2 →Project-based revenue tracking
Salesforce Revenue CloudEnd-to-end revenue operationsCustom pricingRead reviews on G2 →Unified revenue intelligence platform
Zendesk SellSmall to mid-market CRM with analytics$25/user/monthRead reviews on G2 →Mobile-first pipeline management

Scroll horizontally to see all columns

Detailed Reviews

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

#1

People.ai

Top Pick

Best For: Sales teams struggling with manual CRM data entry; account executives managing complex multi-stakeholder deals

People.ai stands out for teams that want zero-friction data collection. Rather than relying on reps manually logging activities, the platform automatically captures interactions from email, calendar, and call systems. For sales leaders managing teams of 20+, this autonomous approach eliminates the perpetual problem of outdated CRM data. The platform then surfaces insights about deal velocity, rep effectiveness, and account engagement that would take hours to calculate manually.

Pricing: Custom pricing (typically $30-50+ per user/month depending on team size and features); requires minimum team size

Key Features

  • Automatic data capture from email, calendar, and calls
  • Account engagement scoring
  • Deal risk prediction
  • Rep activity intelligence
  • Multi-threaded opportunity tracking

Pros

  • +Eliminates manual activity logging and CRM data entry friction
  • +Provides accurate engagement history without rep overhead
  • +Deal risk alerts help catch slipping opportunities early
  • +Account intelligence surfaces new stakeholders and buying signals
  • +Integrates with major CRMs and communication tools

Cons

  • -Higher cost per user compared to basic CRM solutions
  • -Requires strong email and calendar integration setup
  • -Learning curve for interpreting engagement scores and alerts
  • -May capture false positives in deal risk detection

Verdict

People.ai is the right choice if your team struggles with incomplete CRM data and you have the budget for an overlay tool. The automatic data capture removes friction that plagues most sales orgs, and the deal intelligence helps managers prioritize coaching and intervention efforts. Expect to invest in proper onboarding and training.

#2

Aviso

Best For: Enterprise sales teams with complex deals and high forecast accuracy requirements; organizations using Salesforce or other major CRMs

Aviso brings AI-powered forecasting to sales organizations that need accuracy and confidence in their revenue predictions. The platform uses machine learning to analyze historical deal patterns, rep behaviors, and market conditions to predict which opportunities will close and when. For CFOs and sales VPs who spend weeks reconciling forecasts each quarter, Aviso's ability to surface forecast variance early provides meaningful business value. The platform also includes pipeline analytics that show where deals are getting stuck and what interventions work.

Pricing: Custom pricing; typically $100k-500k+ annually depending on team size and deal volume

Key Features

  • Predictive revenue forecasting with AI
  • Deal scoring and risk analytics
  • Pipeline health dashboards
  • Sales coaching insights
  • Forecast accuracy tracking and reporting

Pros

  • +Significantly improves forecast accuracy compared to rep-submitted numbers
  • +AI identifies patterns humans miss, like which reps' forecasts skew optimistic
  • +Pipeline intelligence shows bottlenecks and typical deal progression
  • +Executive dashboards provide real-time revenue visibility
  • +Integrates with Salesforce, HubSpot, and other major platforms

Cons

  • -Expensive for small to mid-market teams
  • -Requires clean, consistent CRM data to work effectively
  • -Implementation and training require significant time investment
  • -AI models need 6-12 months of data to reach peak accuracy

Verdict

Aviso is best suited for mid-market and enterprise sales orgs where forecast accuracy directly impacts business decisions and Wall Street credibility. If your team has historically missed revenue forecasts by 10%+ or you're spending excessive time on forecast reconciliation, the investment pays for itself. Requires strong CRM discipline as a prerequisite.

#3

Dooly

Best For: Sales teams with consistently outdated CRM data; remote and distributed sales organizations; teams using Salesforce

Dooly solves a specific but widespread problem: sales reps don't actually use the CRM to keep pipeline data current. The platform sits between the sales team's daily workflow tools (Slack, email, calendar) and the CRM, making it frictionless to log activities, update deal stages, and maintain accurate information. For sales leaders managing remote or distributed teams, Dooly's real-time visibility into pipeline activity means you catch stalled deals faster. The interface is mobile-optimized, which matters since 40% of your reps are updating deals from their car or a coffee shop.

Pricing: $50-80 per user/month (approximately); custom pricing available for larger teams

Key Features

  • Real-time deal updates from mobile and web
  • Slack integration for activity logging
  • Customizable pipeline views
  • Deal summary cards with key information
  • Activity tracking and notifications

Pros

  • +Mobile interface makes CRM updates actually possible for field reps
  • +Slack integration keeps pipeline updates frictionless
  • +Real-time dashboard visibility helps managers catch issues immediately
  • +Customizable views match your actual sales process
  • +Quick implementation (days, not months)

Cons

  • -Primarily a CRM access tool rather than advanced analytics platform
  • -Limited predictive or AI-powered features
  • -Dependent on Salesforce for advanced analytics
  • -Pricing scales quickly with larger teams

Verdict

Dooly is excellent if your primary problem is outdated CRM data rather than lack of analytics. It's a tactical tool that fits into your existing tech stack and solves the 'nobody updates the CRM' challenge that plagues most sales organizations. Budget-conscious mid-market teams will see immediate ROI from improved pipeline visibility.

#4

Xactly

Best For: Sales organizations with complex compensation structures; managers who need to justify commission spend to finance; teams optimizing rep territories

Xactly uniquely focuses on sales compensation and performance analytics, which overlaps with but differs from traditional pipeline analytics. The platform helps sales leaders design, manage, and model commission plans while tracking whether those plans are actually motivating the behavior you want. For organizations with complex or multi-tiered commission structures, Xactly's ability to model the financial impact of plan changes before rolling them out prevents expensive mistakes. The analytics also surface insights like which territories are over-paying reps for the same results.

Pricing: Custom pricing; typically $50k-200k+ annually depending on complexity and team size

Key Features

  • Commission plan modeling and simulation
  • Performance vs. compensation analysis
  • Territory optimization
  • Territory and quota setting tools
  • Real-time commission tracking

Pros

  • +Prevents costly commission plan mistakes through modeling
  • +Surfaces compensation inequality across territories
  • +Helps align commission structure with actual business priorities
  • +Strong territory planning capabilities
  • +Comprehensive audit trails for compliance

Cons

  • -Primarily compensation-focused rather than broad sales analytics
  • -Implementation requires deep planning and change management
  • -Steep learning curve for users unfamiliar with comp planning
  • -Not ideal for teams with simple, flat commission structures

Verdict

Xactly is essential for mid-market and enterprise sales organizations where compensation spend is material and complex. If you're paying $1M+ annually in commissions or have struggled with commission disputes and plan changes, the investment is justified. Not recommended for early-stage companies with simple commission structures.

#5

Scratchpad

Best For: Sales teams wanting better deal collaboration; organizations using Salesforce where reps don't naturally log details; teams doing high-touch, consultative selling

Scratchpad takes a different approach to sales data by focusing on deal collaboration and context. Rather than competing with your CRM, it enhances it by becoming the workspace where reps actually work on deals. The platform makes it trivial to capture deal notes, attach files, surface relevant company intelligence, and collaborate with teammates on strategy. For sales teams that view their CRM as a reporting system rather than a working tool, Scratchpad bridges that gap. The platform also integrates with Salesforce to push deal information back to your CRM so you maintain a single source of truth.

Pricing: $50-60 per user/month; flat rate regardless of team size

Key Features

  • Collaborative deal workspaces
  • Deal notes and context storage
  • Company intelligence integration
  • Salesforce sync and push-back
  • Mobile app for on-the-go updates

Pros

  • +Significantly improves deal note quality and completeness
  • +Encourages team collaboration on complex deals
  • +Reduces friction for CRM updates by combining workspace and data entry
  • +Affordable per-user cost
  • +Quick implementation and adoption

Cons

  • -Limited analytics features compared to dedicated analytics platforms
  • -Requires Salesforce as primary CRM for full value
  • -Doesn't predict deal outcomes or provide AI coaching
  • -Small company means limited roadmap visibility

Verdict

Scratchpad is ideal for sales teams frustrated with their CRM's collaboration capabilities but not ready to invest in a full analytics platform. It's especially valuable for complex B2B sales with multiple stakeholders and long sales cycles. Best suited for teams of 5-50 reps where deal collaboration is a key bottleneck.

Frequently Asked Questions about best sales data analytics tools for sales teams

A CRM is the system of record where reps log opportunities, activities, and customer information. A sales analytics tool analyzes that data to surface insights—like which deals are at risk, what activities correlate with wins, or which rep behaviors predict success. Some platforms like Salesforce Einstein Analytics are built into CRMs, while others like People.ai and Aviso sit on top of existing CRMs. Your decision depends on whether your CRM's native analytics meet your needs or if you need more advanced predictive capabilities. Most teams benefit from having both: a CRM for transaction management and a dedicated analytics tool for intelligence.

Budget expectations vary significantly based on tool type. Basic CRM analytics are often included in your CRM subscription (Salesforce starts at $165/user/month). Lightweight collaboration tools like Scratchpad cost $50/user/month, or about $1,000/month total. Mid-market analytics platforms like Dooly run $50-80/user/month ($1,000-1,600/month). Enterprise platforms like Aviso typically cost $100k-250k annually regardless of team size. A realistic budget for a 20-person team wanting solid analytics is $2,000-5,000/month if you're adding tools to an existing CRM, or $10,000+/month if you need enterprise-grade AI forecasting. Start with what solves your immediate problem rather than over-investing in features you won't use.

Salesforce has multiple native analytics options: Salesforce Einstein Analytics (built-in, $25/user/month add-on), Salesforce Revenue Cloud (comprehensive but expensive), and Einstein Forecasting (AI-powered predictions). If you prefer third-party tools, most major platforms integrate with Salesforce via API or pre-built connectors: Aviso, People.ai, Dooly, and Scratchpad all offer Salesforce integration. However, integration quality varies—some push data in real-time while others sync periodically. Test integrations in a sandbox environment before committing. For Salesforce-centric orgs, the native Einstein tools often work fine for mid-market teams and eliminate integration headaches, though they lack some advanced features of standalone platforms.

Implementation timelines vary based on tool complexity and your organization's readiness. Lightweight tools like Scratchpad or Dooly integrate in 2-4 weeks since they work alongside existing systems. More comprehensive analytics platforms like Aviso or People.ai typically take 2-3 months, including data cleanup, configuration, user training, and model building. Enterprise solutions with custom reporting can take 3-6 months. The biggest variable is CRM data quality—if your Salesforce or HubSpot data is messy, you'll spend weeks cleaning before analytics provide value. Budget for at least 20% of implementation time on data hygiene. Plan for adoption challenges too; expect a learning curve of 4-8 weeks before teams fully utilize new tools. Engage your best reps early as champions to drive adoption.

Sales reps notoriously resist tools they perceive as adding work to their day. Prioritize platforms where reps interact with analytics through their existing workflows—Dooly through Slack and mobile, Scratchpad as their deal workspace, or People.ai through automatic capture. Avoid tools that require manual data entry beyond what reps already do in their CRM. Manager-focused tools can be more complex since they're not updated daily; Aviso or Xactly might have steeper learning curves but that's acceptable if managers adopt them. Look for mobile apps since 40% of activity happens outside the office. Request demos focused specifically on the rep experience, not just executive dashboards. Run a pilot with 5-10 users before full rollout to identify usability issues early.

Conclusion

The right sales data analytics tool depends on your specific challenges, team size, and budget. If your primary issue is incomplete CRM data and you need reps to maintain accurate pipelines, Dooly or Scratchpad solve that elegantly without massive investment. If you're struggling with forecast accuracy and need predictive intelligence, Aviso or People.ai deliver that capability for larger teams that can absorb the cost. For compensation-heavy organizations, Xactly is non-negotiable. For early-stage companies using Salesforce, Einstein Analytics often provides sufficient reporting without additional expense.

Here's a practical framework: Start by identifying your core problem. Is it data quality, forecast accuracy, pipeline visibility, or compensation management? Choose a tool that solves that specific problem rather than selecting the most feature-rich option. Remember that the best analytics platform only delivers value if your team actually uses it, so ease of adoption matters more than feature breadth.

Implementation takes time and effort—budget 8-12 weeks minimum and expect meaningful ROI only after 3-4 months as teams build muscle memory. Consider starting with a smaller team pilot before rolling out organization-wide. Finally, remember that tools are force multipliers for process—if your underlying sales process is broken, even the best analytics won't save you. Use these platforms to make your existing process more visible and measurable, not as a shortcut to fixing broken fundamentals. RevAlign.io can help assess your current process and recommend implementation approaches tailored to your team's maturity level.

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