Sales data without analytics is just noise. B2B teams generate massive amounts of customer interaction data—CRM entries, email sequences, call recordings, deal progression—but most organizations struggle to extract actionable insights from it all.
The right sales analytics tool transforms raw data into predictive intelligence. You can identify which deals are likely to close, which reps need coaching, and where your pipeline is vulnerable before it becomes a crisis.
This guide reviews the 15 best sales data analytics tools specifically built for B2B companies. Whether you need AI-powered forecasting, rep-level performance tracking, or deep CRM integration, you'll find detailed breakdowns of pricing, features, and real use cases to help you choose.
In-depth analysis of each platform to help you make the right choice.
#1
Aviso
Top Pick
Best For: Revenue leaders and sales operations teams needing predictive pipeline intelligence and AI-driven forecasting
Aviso combines AI-powered forecasting with real-time pipeline intelligence, making it ideal for B2B teams that need predictive accuracy. The platform automatically analyzes deals, rep activities, and market signals to predict which opportunities will close and which are at risk. For mid-market and enterprise sales organizations, Aviso delivers the forecasting precision that directly impacts board meetings and investor confidence.
Pricing: Starting at approximately $500/month; custom pricing for enterprise deployments
Key Features
Predictive deal scoring and forecasting
Real-time pipeline health monitoring
Automatic rep activity tracking from multiple sources
Executive dashboard with forecast accuracy metrics
Native Salesforce integration with two-way sync
Pros
+Exceptional accuracy in forecasting (many customers report 95%+ forecast accuracy)
+Minimal manual data entry required; pulls activity signals automatically
+Executive dashboards provide immediate visibility into pipeline risk without lengthy reporting
Cons
-Setup requires significant initial configuration and CRM audit
-Pricing can be substantial for smaller teams under 20 reps
-Steeper learning curve for non-technical sales ops staff
Verdict
Aviso is the top choice for B2B organizations where forecast accuracy directly impacts business outcomes. If your board asks for a monthly forecast and you need to deliver numbers you can stand behind, Aviso's AI-driven approach delivers. Best for companies with at least 15+ reps and stable CRM hygiene.
#2
Salesforce Einstein Analytics
Best For: B2B companies with strong Salesforce adoption who need analytics without third-party integration complexity
If your team already runs on Salesforce (which many B2B companies do), Einstein Analytics provides native analytics without switching platforms. The AI engine automatically uncovers patterns in your sales data—deal velocity, stage duration, customer attributes tied to wins. It's built directly into the Salesforce interface, eliminating context switching.
Pricing: Starting at approximately $50/user/month; often bundled with Salesforce licenses
Key Features
Native AI insights within Salesforce org
Automated deal health scoring
Predictive lead scoring and opportunity recommendations
Customizable analytics apps and dashboards
Mobile-friendly analytics interface
Pros
+Zero integration effort; lives inside your existing Salesforce instance
+Salesforce handles all data—no third-party data sharing concerns
+Continuously improves with machine learning on your actual data patterns
+Team adoption faster because reps see insights in their daily Salesforce workflow
Cons
-Data quality issues in Salesforce directly degrade analytics quality
-Pricing adds up quickly if you need Einstein Analytics across large teams
-Customization can require Salesforce developer resources
Verdict
Choose Einstein Analytics if Salesforce is your sales system of record and you want native predictive intelligence without managing external platforms. It won't solve poor CRM discipline, but for teams with clean data, it's the easiest path to actionable insights. Good fit for companies with 20+ Salesforce licenses.
#3
People.ai
Best For: Sales teams struggling with CRM adoption and activity logging; organizations that need complete visibility into what reps actually do
People.ai automatically captures every sales activity—emails, calls, meetings, conversations—and feeds that raw data into their analytics engine. Unlike tools that rely on reps to manually log activities, People.ai uses AI to surface what actually happened in the deal, mapping activities to outcomes. This creates a complete data foundation for reliable analytics.
Pricing: Custom pricing; typically $300-800/month depending on team size and Salesforce instance
Key Features
Automatic activity capture from email, Slack, and calendar integrations
AI-powered relationship mapping and buyer journey visualization
Deal risk and health scoring based on actual engagement
Automatic sales conversation intelligence from call recordings
Rep-level coaching recommendations based on activity patterns
Pros
+Eliminates manual activity logging; captures ground truth of what happened in deals
+Works even if reps aren't disciplined CRM users
+Provides complete buyer engagement timeline across all channels
+Call transcription and analysis reveals coaching gaps immediately
Cons
-Requires integration with multiple communication channels (Outlook, Gmail, Slack, Teams)
-Privacy and security considerations with automatic email/call capture
-Can be noisy if team doesn't have clear communication protocols
Verdict
If your team chronically under-logs activities in Salesforce, People.ai stops that problem by automatically capturing everything. The AI-powered relationship mapping is particularly valuable for complex B2B deals with multiple stakeholders. Best for mid-market to enterprise teams where activity visibility is currently a pain point.
#4
Dooly
Best For: Sales operations teams and revenue leaders who need daily visibility into team activity and pipeline status
Dooly focuses on sales ops efficiency and team visibility. It creates real-time dashboards of what every rep is working on, pulling data from Salesforce, HubSpot, Pipedrive, or other CRMs. The platform emphasizes simplicity—non-technical sales ops teams can build dashboards without coding. It's particularly strong for daily standup visibility and activity heatmaps.
Pricing: Starting at approximately $25-50/user/month for essential analytics; custom pricing for premium features
Key Features
Real-time activity heatmaps showing rep engagement by day/time
Customizable team dashboards and KPI tracking
Opportunity aging and pipeline flow visualization
Integrations with major CRMs and communication tools
Mobile dashboard access for managers on the go
Pros
+Intuitive interface; sales ops can build dashboards without engineering support
+Fast implementation (often live in 1-2 weeks)
+Strong for identifying rep engagement patterns and activity gaps
+Excellent for daily standup meetings—provides context before talking to team
Cons
-Focuses on activity visibility rather than predictive analytics
-Limited deal-level coaching insights compared to more advanced platforms
Dooly is your pick if you need quick, accurate visibility into what your team is doing without complex implementations. Sales ops teams love it for creating accountability around activity metrics. Start here if you're new to sales analytics and want something operational teams can actually use and maintain.
#5
Xactly
Best For: Sales organizations with complex commission structures, SPIFs, and multi-tier compensation models
Xactly specializes in sales compensation analytics and performance management. Beyond traditional analytics, it automates commission calculations, handles complex compensation plans, and tracks performance against targets. For B2B teams with variable compensation structures, Xactly eliminates the month-end accounting nightmare and provides real-time visibility into earnings impact.
Pricing: Starting at approximately $150+/user/month; pricing based on team size and compensation complexity
Key Features
Automated commission calculation and accrual
Real-time rep earnings visibility
Complex compensation plan modeling
Attainment and quota tracking
Incentive plan performance analytics
Pros
+Eliminates spreadsheet errors in compensation calculations
+Reps can see real-time earnings impact of closing deals
+Supports unlimited compensation plan complexity
+Finance and sales aligned on compensation accuracy
Cons
-Pricing can be high for small teams or simple comp structures
-Requires clean quota and attainment data in CRM
-Not designed for organizations with purely salary-based teams
Verdict
If your sales compensation is more complex than a simple base + commission, Xactly pays for itself in accounting time alone. The real value is real-time rep visibility into earnings impact, which drives behavior change around deal closure. Essential for teams using SPIFs, tiered structures, or performance-based bonuses.
#6
Scratchpad
Best For: Teams where CRM data quality is preventing accurate analytics; organizations looking to improve forecasting through better data hygiene
Scratchpad takes a different approach to sales analytics by focusing on data quality first. The platform lives in the CRM and helps reps log information accurately, then surfaces analytics built on that clean data. It emphasizes eliminating stale deals, ensuring opportunity details are complete, and creating visibility without creating additional burden on the sales team.
Pricing: Starting at approximately $25/user/month, making it one of the most affordable options
Key Features
In-CRM task automation to keep records updated
Automated deal staleness alerts
Required field enforcement without friction
Deal health scoring based on data completeness
Activity insights from email and calendar integration
Pros
+Most affordable entry point for CRM-attached analytics
+Genuinely helpful to reps (doesn't feel like overhead)
+Fast implementation and quick time to value
+Improves data quality across entire organization
Cons
-More focused on data quality than advanced predictive analytics
-Limited to CRM where it's installed (Salesforce primary)
-Smaller feature set compared to enterprise platforms
Verdict
Start with Scratchpad if you suspect your CRM data quality is the limiting factor in analytics. At $25/user/month, it's accessible for smaller teams, and the focus on keeping deals moving and accurate is genuinely useful for reps. Excellent foundation before implementing more advanced analytics platforms.
#7
Zendesk Sell
Best For: Small to mid-market B2B teams looking for CRM plus analytics in a single platform
Zendesk Sell combines a lightweight CRM with built-in analytics and reporting. It's particularly useful for B2B teams that don't need the complexity of Salesforce but still want analytics visibility. The platform includes pipeline analytics, activity tracking, and forecast reporting, all integrated into one platform rather than cobbled together from multiple tools.
Pricing: Starting at approximately $25-99/user/month depending on feature tier
Key Features
Pipeline analytics and stage-based reporting
Activity tracking and rep productivity reports
Deal tracking with automated follow-up reminders
Sales forecasting by rep, team, and time period
Mobile CRM and analytics access
Pros
+All-in-one platform eliminates need for separate CRM and analytics tool
+Simpler implementation and faster adoption than Salesforce
+Affordable pricing for small teams
+Built-in activity reminders reduce stale deals
Cons
-Less customizable than Salesforce for complex B2B processes
-Integrations are more limited
-Limited to Zendesk ecosystem for advanced analytics
Verdict
If you don't have CRM infrastructure yet, Zendesk Sell is a practical starting point—you get a usable CRM and analytics together at an affordable price. Not for enterprises, but perfect for Series A/B companies that need baseline analytics without implementing Salesforce.
#8
Pavlov
Best For: Sales teams where call quality directly impacts outcomes; organizations with strong phone-based selling
Pavlov specializes in sales call analytics and coaching intelligence. The platform records, transcribes, and analyzes every sales call, identifying which conversation patterns correlate with successful deals. It uses AI to surface coaching moments—objection handling gaps, value proposition clarity issues, competitive vulnerability—directly from call recordings.
Pricing: Custom pricing; typically $300-1000+/month depending on call volume
Key Features
Automatic call recording and AI transcription
Call quality scoring against rep profiles
Competitive intelligence extraction from calls
Objection handling and value prop analysis
Team coaching alerts based on call patterns
Pros
+Reveals actual conversation patterns (not just activity metrics)
+Call transcripts create permanent record of customer needs and objections
+Coaching recommendations are specific and actionable
+Particularly useful for identifying high-performer behaviors to replicate
Cons
-Requires phone-heavy sales process (less valuable for email/async B2B)
-Privacy considerations with automatic recording
-Requires strong manager engagement to drive behavior change from insights
Verdict
If your team closes deals primarily over the phone, Pavlov is the fastest way to identify coaching gaps and win patterns. The transcription feature alone becomes invaluable for retention and knowledge management. Best for inside sales teams, enterprise B2B, and industries where discovery calls are central to closing.
#9
Tout
Best For: Sales development teams, outbound prospecting organizations, and teams measuring campaign effectiveness
Tout focuses on sales engagement analytics across email, social, and other channels. Rather than tracking deals, Tout tracks individual messages, content, and campaigns—measuring open rates, response rates, and engagement by content type. It's particularly useful for teams doing outbound prospecting or multi-touch campaigns where engagement tracking matters more than forecast accuracy.
Pricing: Custom pricing; typically starts at $500+/month for team usage
Key Features
Email and social engagement tracking
Content performance analytics across team
Individual message tracking with open/response rates
Campaign analytics and A/B testing insights
Integration with email platforms and CRM
Pros
+Immediately shows which content/messaging works
+Helps SDR teams optimize outbound effectiveness
+Engagement tracking drives discipline around message quality
-Primarily focused on outbound, less useful for inbound or account-based sales
-Doesn't track deal progression or forecasting
-Requires active engagement from reps to tag campaigns/content
Verdict
Choose Tout if you have dedicated SDR/prospecting teams and you want to optimize the top of the funnel. The engagement analytics help identify which messages and content drive conversations. Less critical for account-based selling, but invaluable for high-volume prospecting programs.
#10
Growblox
Best For: Sales enablement teams and revenue operations leaders measuring the effectiveness of training, content, and playbooks
Growblox analyzes sales enablement effectiveness and playbook performance. Rather than focusing on individual deals or reps, Growblox answers questions like: Which playbooks drive the most revenue? Which content do top performers use most? Are new reps following the playbook, and does it actually work? It connects enablement execution to revenue impact.
Pricing: Custom pricing; typically $500+/month for mid-market organizations
Key Features
Playbook adoption and usage analytics
Content effectiveness tracking against outcomes
Rep adherence to sales processes and frameworks
Training effectiveness measurement
Correlation analysis between process adherence and deal outcomes
Pros
+Directly ties enablement activities to revenue impact
+Identifies which playbooks actually drive deals (not just which sound good)
+Helps allocate enablement resources to highest-impact content
+Creates accountability for sales programs beyond vanity metrics
Cons
-Requires clear processes and playbooks to measure against
-Less useful for ad-hoc selling organizations
-Needs integration with multiple systems (CRM, LMS, content platforms)
Verdict
If you have invested in sales enablement and want proof it's working, Growblox is the tool that measures impact. Critical for organizations scaling sales teams where playbook adherence and training effectiveness directly impact ramp time.
Frequently Asked Questions about best sales data analytics tools for b2b
CRM reporting shows you what happened (deals closed, revenue by rep), while sales analytics tells you why it happened and predicts what will happen next. Analytics platforms use machine learning to identify patterns—which deal characteristics predict closure, which rep behaviors drive wins, where pipeline is at risk. Most CRMs include basic reporting dashboards, but advanced analytics require specialized platforms that correlate multiple data sources. For B2B selling specifically, this distinction matters because deal cycles are long and complex. Basic CRM reports show historical wins; analytics platforms identify leading indicators so you can intervene before deals slip.
Start with your most urgent problem. If you can't accurately forecast your quarter, you need predictive analytics. If you don't have visibility into what your team is working on or your CRM data is inconsistent, operational dashboards solve that first. Many organizations implement in sequence—they start with Scratchpad or Dooly to clean up data and create visibility, then add Aviso or People.ai once they have reliable data to run predictions on. Predictive platforms require a data foundation; dashboards help build that foundation. Your decision also depends on team maturity. New sales ops teams benefit from simple dashboards before managing complex predictive models.
No. Most modern analytics platforms integrate with major CRMs (Salesforce, HubSpot, Pipedrive) rather than replacing them. Aviso, Dooly, People.ai, Scratchpad—all live alongside your existing CRM, pulling data in and surfacing insights without requiring migration. The one exception is if you're currently on an older CRM system with limited API access or if your entire tech stack is from one vendor (like Salesforce ecosystem-only). In those cases, you might hit integration limitations. For most B2B teams on standard platforms, analytics tools are additive layer. However, this creates one critical dependency: your CRM data quality directly determines analytics quality. Garbage data in = garbage insights out, regardless of how sophisticated the platform is.
Operational dashboards (Dooly, Scratchpad) show value in 2-4 weeks—immediate visibility and reduced time spent in manual reporting. Predictive analytics (Aviso, People.ai) take 8-12 weeks to deliver ROI because the platform needs time to learn your data patterns. Compensation analytics (Xactly) pay for themselves in the first month through eliminated manual accounting. For most platforms, expect a 3-6 month period where you're learning what insights matter to your business before you see revenue impact. The fastest ROI comes from identifying and preventing deals that would have slipped. A single preserved $50K deal more than pays for most analytics platforms for a year. However, this requires your team to actually act on the insights—platforms identify problems, but your sales leadership needs to intervene.
Critical. You cannot build accurate analytics on dirty CRM data. Before investing in advanced platforms like Aviso, invest in data hygiene. Specifically, verify that: opportunity amounts are accurate, deal stages reflect actual sales process (not just check-the-box progression), stakeholder information is complete, and close dates are realistic. Many organizations benefit from starting with Scratchpad or similar data-quality-first tools to build discipline before implementing predictive analytics. Budget 4-8 weeks for CRM cleanup before expecting quality insights from any platform. As a practical check: if your forecast is regularly off by 30%+ compared to actual results, the problem likely isn't your analytics tool—it's the data in your CRM. Fix that first, then analytics tools become genuinely useful.
Salesforce Einstein Analytics integrates most deeply—it's native to Salesforce and requires no data movement. For third-party tools, Aviso, People.ai, and Dooly all have robust Salesforce integrations with two-way sync (they pull data and can update records). Your choice depends on whether you want a solution completely within Salesforce (Einstein) or willing to use adjacent tools with strong integration (everything else). Einstein Analytics is the seamless choice but less flexible. Third-party tools are more specialized but require managing another interface. For RevAlign.io implementation, any of these work, but Einstein requires only Salesforce administration, while others may need dedicated data integration resources.
Conclusion
Sales data analytics transforms raw CRM data into decisions that directly impact revenue. The right platform depends on your specific constraint: If you need forecast accuracy, Aviso and Salesforce Einstein Analytics lead. If data quality is your bottleneck, start with Scratchpad or Dooly. If call quality drives your business, Pavlov surfaces coaching insights. If compensation complexity is painful, Xactly solves that immediately.
For most B2B teams, a practical approach is: Start with an operational dashboard (Dooly or Scratchpad) to build visibility and discipline around data quality. After 3-4 months, layer in a predictive platform (Aviso or People.ai) once your data foundation is solid. This two-phase approach ensures you get value at each stage without over-investing in tools your team isn't ready to use.
The platform you choose matters less than your commitment to act on the insights it provides. Analytics platforms identify opportunities and risks, but your leadership team has to intervene. A team using a $25/month dashboard but religiously acting on it will outperform teams ignoring $500/month predictions. When you're ready to implement, partners like RevAlign.io can help ensure your data is clean, your team is trained, and your processes are built to act on insights. Start with your biggest pain point, give the platform 8-12 weeks to prove value, then expand based on what you learn.
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