15 Best Revenue Forecasting Software for Sales Teams
15 Best Revenue Forecasting Software for Sales Teams
Updated August 3, 20264,447 words10 tools compared
Revenue forecasting is no longer optional for scaling sales organizations. Without accurate visibility into future revenue, you're flying blind—missing quota targets, struggling to allocate resources, and disappointing investors. The right revenue forecasting software bridges the gap between your CRM data and real predictive insights, helping your sales team understand which deals will close and when. In this guide, we've evaluated 15 revenue forecasting platforms used by B2B SaaS companies, from early-stage startups to enterprise teams. You'll discover which tools excel at pipeline visibility, which offer the best AI-powered predictions, and which integrate seamlessly with your existing tech stack. Whether you need advanced analytics, mobile accessibility, or straightforward forecast views, we'll help you identify the platform that matches your team's maturity level and budget.
In-depth analysis of each platform to help you make the right choice.
#1
InsightSquared
Top Pick
Best For: Enterprise sales teams managing complex, multi-stage pipelines; Fortune 500 companies needing executive-level revenue visibility
InsightSquared stands out as the most comprehensive revenue forecasting platform for enterprise sales organizations. Built specifically to translate raw CRM data into actionable forecast intelligence, it combines historical pipeline patterns with AI algorithms to predict deal outcomes and close dates. The platform serves as a central nervous system for revenue operations, connecting sales, finance, and executive leadership around a single source of forecasting truth.
Pricing: Custom pricing based on organizational size and data volume; typically $500-$2,000+ per month for enterprise deployments
Key Features
AI-powered forecast accuracy that learns from your historical close rates
Real-time pipeline health scoring with deal-level risk assessments
Automated deal flow anomaly detection to flag potential forecast misses
Executive dashboards with revenue scenario modeling
Deep Salesforce integration with bi-directional data sync
Pros
+Highest accuracy forecasting due to proprietary AI trained on millions of deals across SaaS companies
+Comprehensive analytics across sales, forecast, pipeline, and activity metrics in one platform
+Strong executive reporting capabilities with customizable KPI dashboards
+Dedicated customer success team for implementation and ongoing optimization
Cons
-Premium pricing puts it out of reach for seed-stage and Series A startups
-Requires clean, standardized CRM data to deliver accurate forecasts; significant data cleanup may be needed
-Steep learning curve for sales teams accustomed to basic CRM reporting
Verdict
InsightSquared is the top choice for mature B2B SaaS companies where forecast accuracy directly impacts funding rounds and investor relations. If your sales organization has 50+ reps and your forecast misses are creating board-level tension, the investment in InsightSquared typically pays for itself through improved forecast accuracy and resource allocation.
#2
Aviso
Best For: Enterprise sales organizations focused on forecast accuracy and deal quality; teams where coaching and rep performance improvement are strategic priorities
Aviso takes a different approach to revenue forecasting by embedding AI directly into the deal qualification process. Rather than analyzing forecast data after it's entered, Aviso uses machine learning to help sales reps make better decisions in real-time—identifying which deals are most likely to close and which need intervention. The platform combines predictive intelligence with coaching capabilities to drive both forecast accuracy and win rate improvements.
Pricing: Custom enterprise pricing; generally $1,000-$3,000+ per month depending on team size and feature set
Key Features
AI-powered deal probability scoring based on buying signals and deal characteristics
Automated coaching recommendations for reps showing lower close rates
Real-time alerts for forecast-critical deals needing attention
Integration with Salesforce, HubSpot, and Pipedrive
Mobile app for on-the-go forecast tracking and deal monitoring
Pros
+Unique combination of forecasting accuracy and sales coaching creates multiple value streams
+Deal probability scoring is transparent and helps reps understand why a deal is flagged as high or low risk
+Significantly reduces time spent in forecast calls by pre-filtering data for meaningful discussion
+Mobile app enables remote sales teams to stay connected to forecast health
Cons
-Implementation requires substantial data cleanup and initial training on platform mechanics
-Coaching recommendations can feel intrusive if not carefully calibrated to your sales culture
-Requires commitment from leadership to act on AI insights; best results when combined with regular forecast coaching
Verdict
Aviso excels for organizations where forecast accuracy and rep development are equally important. The combination of AI deal scoring and coaching recommendations makes it particularly valuable for teams experiencing high forecast variance or inconsistent close rates across reps.
#3
People.ai
Best For: Mid-market and enterprise Salesforce users struggling with incomplete activity data; sales operations teams prioritizing data quality
People.ai solves a fundamental problem in revenue forecasting: incomplete activity data. Most CRMs only capture a fraction of customer interactions—emails get missed, calls aren't logged, meetings happen in calendar systems disconnected from your pipeline. People.ai automatically captures and analyzes all buyer-seller interactions across email, calendars, and calls, then uses this comprehensive activity data to power more accurate forecasts. For Salesforce teams, this means working with complete information for the first time.
Pricing: Custom pricing starting around $500-$1,000+ per month, varies by team size and deployment
Key Features
Automatic activity capture from Gmail, Outlook, and calendar systems without manual logging
Deal health scoring based on buyer engagement patterns and interaction frequency
Account intelligence that tracks buying committee engagement across an opportunity
Salesforce native; updates your Salesforce records automatically with captured activities
Rep activity benchmarking to identify top performers and coaching opportunities
Pros
+Eliminates the primary source of CRM data quality problems—missed activity logging
+Activity data is pulled from systems reps already use, reducing training requirements
+Deal scoring becomes more accurate because it's based on actual interactions rather than rep estimates
+Provides clear visibility into buying committee engagement for better pipeline assessment
Cons
-Privacy and email monitoring concerns require careful change management and clear policy communication
-Implementation requires IT coordination for email integration and admin setup
-Accuracy of activity capture depends on email configuration and calendar connectivity
Verdict
People.ai is essential for any enterprise Salesforce shop where forecast misses are attributed to 'deals that came out of nowhere' or 'activity we didn't know about.' The automatic activity capture dramatically improves forecast accuracy by ensuring your predictions are based on complete customer interaction data.
#4
Dooly
Best For: Small to mid-market SaaS companies with 5-50 sales reps; organizations prioritizing rep adoption and daily forecast visibility
Dooly takes a minimalist approach to revenue forecasting, focused on getting daily updates from reps about deal status without requiring them to use another interface. Reps update their deals directly in Salesforce or HubSpot, and Dooly surfaces those changes in mobile-friendly format, creating accountability and visibility without extra work. For sales leaders who've struggled getting reps to log updates, Dooly's lightweight philosophy solves a real problem.
Pricing: $35 per user per month when billed annually; one of the most affordable options with per-rep pricing transparency
Key Features
Daily deal updates through mobile-first interface requiring 30 seconds per rep
Automatic sync with Salesforce and HubSpot—no separate data entry
Sales leader dashboard showing daily pipeline movement and deal status changes
Slack integration for forecast updates delivered to leadership channels
Lightweight design minimizes reps' time commitment while maximizing visibility
Pros
+Significantly higher rep adoption than complex forecasting platforms due to minimal friction
+Mobile app makes it easy for reps to update deals from the field or in customer meetings
+Affordable per-user pricing makes it economical even for teams with 5-10 reps
+Slack integration keeps leadership informed without opening another tool
+Onboarding is fast; you can be live in days rather than months
Cons
-Lacks predictive AI or deal scoring; relies on rep estimates rather than analyzing patterns
-Limited analytics and historical trend analysis compared to enterprise platforms
-Not suitable for organizations needing sophisticated forecast modeling or scenario planning
-Forecast accuracy is only as good as reps' manual inputs
Verdict
Dooly is the top choice for fast-growing Series A and Series B startups where adoption and daily visibility matter more than predictive analytics. The combination of affordability, ease of use, and Slack integration makes it ideal for lean sales teams that need better visibility without adding complexity.
#5
Scratchpad
Best For: Growing SaaS companies with 10-30 sales reps; teams needing better pipeline visibility without complexity; companies just starting their revenue operations journey
Scratchpad positions itself as the 'lightweight alternative' to full revenue forecasting platforms, designed for sales teams that want better forecast visibility without the complexity of enterprise software. It automatically syncs with your CRM, surfaces key deal information in a clean interface, and helps teams spot pipeline trends through simple visualizations. The product appeals to growing companies that have outgrown basic CRM reporting but aren't ready to commit to complex revenue operations platforms.
Pricing: $35 per user per month with monthly or annual billing options
Key Features
Automatic CRM data sync from Salesforce, HubSpot, and Pipedrive
Deal tracking dashboard showing pipeline by stage, value, and close date
Sales rep productivity insights and activity tracking
Customizable forecasting views by rep, manager, or organization
Simple mobile interface for on-the-go pipeline reviews
Pros
+Dramatically simpler implementation than enterprise platforms; no data science team required
+Clean interface appeals to sales reps who might resist complex forecasting tools
+Affordable pricing with transparent per-seat costs
+Works with multiple CRMs including Salesforce, HubSpot, and Pipedrive
+One-click setup from your CRM; data syncs automatically with no manual work
Cons
-Limited forecasting sophistication compared to AI-powered competitors; mostly reports what's in your CRM
-No predictive AI or deal scoring to help identify forecast risks
-Limited customization options for teams with complex sales processes
-Forecast accuracy depends entirely on CRM data quality and rep compliance with your pipeline stages
Verdict
Scratchpad is ideal for Series A startups with 10-30 reps who need dramatically better pipeline visibility than their CRM provides but aren't yet ready for enterprise-level complexity. The affordability and simplicity make it a smart choice as a stepping stone toward more sophisticated platforms.
#6
Salesforce Einstein Analytics
Best For: Enterprise Salesforce customers with large implementations; organizations seeking to consolidate tools within the Salesforce ecosystem
Einstein Analytics is Salesforce's native AI analytics engine, embedded directly into the Salesforce platform itself. For organizations already committed to Salesforce as their CRM of record, Einstein Analytics eliminates the need for a separate forecasting tool by bringing predictive intelligence directly to where your data lives. It analyzes historical close rates, pipeline patterns, and rep performance to generate forecasts without requiring data export or integration.
Pricing: $50 per user per month or $500-$1,000+ monthly for organization-wide implementations
Key Features
AI-powered forecasting directly within Salesforce without data export
Predictive scoring for leads, opportunities, and accounts
Custom dashboard creation without requiring data science expertise
Pre-built templates for common sales metrics and KPIs
Native integration with all Salesforce modules and third-party Salesforce apps
Pros
+No data integration complexity; everything lives in your existing Salesforce instance
+Forecasts automatically reflect real-time CRM updates with no lag
+Eliminates need to train teams on a separate forecasting interface
+Lower overall cost of ownership when comparing to separate third-party tools plus Salesforce
+Strong executive reporting with native Salesforce dashboard capabilities
Cons
-Forecast accuracy depends on Salesforce data quality; if your CRM is messy, forecasts will be unreliable
-Less sophisticated AI algorithms compared to specialized forecasting platforms built by pure-play vendors
-Can feel overwhelming for teams not deeply trained in Salesforce analytics
-Requires Salesforce expertise for advanced customizations
Verdict
Einstein Analytics is the right choice if you're already heavily invested in Salesforce and want to avoid adding another tool to your tech stack. For organizations with clean CRM data and strong Salesforce expertise, it provides solid forecasting at reasonable cost within your existing platform.
#7
Zendesk Sell
Best For: Seed-stage and Series A SaaS startups with 3-15 sales reps; small teams seeking a simple all-in-one CRM with forecasting
Zendesk Sell is a lightweight CRM with built-in forecasting and activity tracking, designed for small sales teams and startups that don't need the complexity of Salesforce. It combines basic CRM functionality with forecasting capabilities, making it ideal for teams just professionalizing their sales process. The mobile-first design and affordable pricing make it appealing for early-stage companies with distributed teams.
Pricing: $29 per user per month for the Team plan with forecasting features included
Key Features
Simple pipeline and forecast views built into the CRM
Mobile app for iOS and Android with full functionality
Activity tracking for calls, emails, and meetings within the interface
Customizable sales stages and deal tracking
Basic reporting and forecast dashboards
Pros
+Extremely affordable at $29/user; includes CRM plus forecasting in one product
+Mobile app is full-featured, not a stripped-down mobile experience
+Fast implementation; teams can be productive within days
+Clean interface appeals to sales reps with minimal CRM experience
+Integrates with Gmail, Outlook, and other common business tools
Cons
-Limited forecasting sophistication compared to specialized platforms
-No AI-powered deal scoring or predictive analytics
-Forecast accuracy dependent on rep discipline with activity logging
-Limited customization for complex sales processes
-May require migration if you outgrow the platform to enterprise CRM
Verdict
Zendesk Sell is the best option for early-stage startups that need a functioning CRM with basic forecasting but lack the budget for separate specialized tools. The mobile-first design and affordability make it worth considering if you have a small, distributed sales team.
#8
Vantage Point
Best For: Mid-market B2B SaaS companies with 20-100 sales reps; sales operations leaders focused on proactive pipeline management
Vantage Point focuses on providing real-time pipeline intelligence through continuous monitoring and automated alerts. Rather than requiring manual forecasting updates, it analyzes your CRM data to identify at-risk deals, emerging opportunities, and pipeline trends that need immediate attention. The platform is designed for sales operations teams that need to actively manage pipeline health rather than react to end-of-quarter surprises.
Pricing: Custom pricing; typically $800-$2,000+ per month for mid-market implementations
Key Features
Real-time pipeline monitoring with automated alerts for risk conditions
Deal velocity tracking showing how long deals typically spend in each stage
Automated identification of deals stuck in pipeline stages
Visual pipeline health dashboard updated throughout the day
Integration with Salesforce and HubSpot
Pros
+Real-time intelligence catches forecast issues before they become problems
+Automated alerts reduce time spent in manual pipeline reviews and forecasting calls
+Deal velocity analysis helps identify process bottlenecks and coaching opportunities
+Proactive approach to pipeline management prevents end-of-quarter surprises
+Customizable alert thresholds and dashboards for different stakeholder needs
Cons
-Requires clean CRM data to be effective; messy pipeline stages will produce noisy alerts
-Can generate alert fatigue if not carefully configured
-Focuses on monitoring rather than predictive forecasting
-Custom pricing means smaller teams may find it cost-prohibitive
Verdict
Vantage Point excels for mid-market organizations where the sales operations function is mature and proactive pipeline management is valued. If your current problem is forecast surprises and deals stalling in pipeline, the real-time monitoring approach addresses these pain points directly.
#9
Pavlov
Best For: Enterprise sales teams struggling with incomplete activity data in CRM; organizations where reps don't consistently log activities
Pavlov uniquely focuses on capturing and analyzing all customer interactions to improve forecasting accuracy. The platform automatically tracks emails, calls, meetings, and other interactions without requiring manual logging, then uses this comprehensive activity data to score deal health and predict close probability. For sales teams frustrated by incomplete CRM data, Pavlov provides the missing ingredient for better forecasts.
Pricing: Custom pricing; typically $500-$1,500+ per month depending on team size
Key Features
Automatic activity capture from email, calendar, and phone systems
AI-powered deal health scoring based on buyer interaction patterns
Account intelligence showing engagement across multiple stakeholders
Integration with Salesforce, HubSpot, and other CRMs
Privacy-compliant activity capture with transparent logging
Pros
+Solves the fundamental problem of incomplete CRM data without requiring reps to change behavior
+Deal scoring becomes accurate because it's based on real interactions, not rep estimates
+Buying committee visibility prevents surprise decisions from unknown stakeholders
+Automatic logging eliminates friction that prevents reps from logging activities
+Privacy features address GDPR and compliance concerns
Cons
-Email and interaction monitoring can create cultural friction if not properly communicated
-Requires IT coordination for email integration and ongoing management
-Implementation timeline is longer due to integration complexity
-Best results require integration with multiple systems (email, calendar, phone)
Verdict
Pavlov is the top choice for enterprise organizations where forecast misses are consistently attributed to 'deals we didn't know about.' By automatically capturing all interactions, it provides the complete information foundation necessary for truly accurate forecasting.
#10
Weflow
Best For: Enterprise sales organizations with complex governance requirements; companies standardizing forecasting processes across multiple regions or business units
Weflow takes a workflow-automation approach to revenue forecasting, focusing on orchestrating the processes and approvals that support accurate forecasting. Rather than just reporting on data, Weflow helps teams define and enforce forecasting workflows, approval processes, and governance. It's designed for sales operations teams that need to standardize forecasting processes across large, distributed organizations.
Pricing: Custom pricing; typically $1,000-$3,000+ per month for enterprise deployments
Key Features
Configurable forecasting workflows with manager reviews and approvals
Automated data validation to catch forecasting errors before submission
Pipeline stage standardization across multiple business units
Audit trails and historical forecast tracking for compliance
Integration with Salesforce and other CRMs
Pros
+Solves governance and standardization challenges at scale
+Forecast audit trails provide compliance documentation for regulated industries
+Prevents forecasting errors through automated validation
+Scales to large, distributed teams without requiring extensive manual coordination
+Clear workflow visibility helps teams understand forecasting requirements
Cons
-Requires significant change management to implement standardized processes
-Can feel like additional process burden if not carefully designed
-Best suited for mature organizations with complex governance needs
-Custom pricing limits accessibility for smaller organizations
Verdict
Weflow is best for large enterprise organizations that have struggled coordinating forecasts across multiple regions or business units. If forecast standardization and governance are your primary pain points, Weflow's workflow-driven approach addresses these needs.
Frequently Asked Questions about revenue forecasting software for sales teams
Most CRMs provide basic forecast views that simply aggregate rep-submitted deal probabilities—if your rep says a deal is 50% likely to close, the CRM counts it as 50% revenue. Revenue forecasting software applies multiple sophisticated techniques to improve accuracy beyond rep estimates. These include analyzing historical close rates by rep and deal type, examining buyer engagement patterns through activity data, applying machine learning to spot deals at risk, and accounting for seasonal trends. Specialized forecasting platforms also provide real-time alerts about forecast-critical deals, variance analysis to understand why forecasts miss, and executive reporting that finance and investors need. The accuracy improvement typically ranges from 10-40% depending on your starting data quality. For early-stage startups with 5-10 reps, basic CRM forecasting may suffice; for mid-market and enterprise teams, specialized software delivers measurable ROI through improved forecast accuracy and reduced surprise forecast misses.
Implementation timeline varies significantly by platform complexity and your data readiness. Lightweight platforms like Dooly and Scratchpad can be operational within 1-2 weeks—they sync your existing CRM data and immediately start showing pipeline visibility. Mid-market platforms like Aviso or Vantage Point typically require 6-12 weeks including data cleanup, pipeline stage standardization, and team training. Enterprise platforms like InsightSquared may take 3-6 months when accounting for data migration, historical data validation, AI model training, and executive alignment on forecasting processes. The biggest implementation variable is data quality—if your CRM has inconsistent pipeline stages, missing activity data, or inaccurate close dates, expect longer implementation timelines. We recommend starting with a data audit to identify gaps before selecting your platform; this 2-4 week assessment prevents surprises during implementation.
Salesforce has deeper integration options because its ecosystem is more mature and many specialized vendors prioritize Salesforce first. For Salesforce, you have excellent options including InsightSquared, Aviso, People.ai, and Salesforce's own Einstein Analytics. For HubSpot, your options are more limited but growing—Scratchpad, Dooly, and Zendesk Sell all work well with HubSpot. If you're using HubSpot specifically, Scratchpad and Dooly offer the best native integration experiences with simpler setup. However, many enterprise forecasting platforms like InsightSquared and Aviso support HubSpot through API integrations even if they market toward Salesforce primarily. Before selecting a platform, verify native integration availability with your specific CRM version—some platforms support HubSpot's Enterprise tier but not earlier versions. If HubSpot integration is critical and you need sophisticated forecasting, contact vendors directly about their roadmap and integration depth.
Costs vary significantly based on approach. Per-user platforms like Dooly and Scratchpad cost around $875-$875/month (25 users × $35/user), making them the most affordable option for small teams. Mid-market platforms typically use custom pricing starting around $1,000-$2,000/month based on team size and features. Enterprise platforms like InsightSquared, Aviso, or Salesforce Revenue Cloud charge $2,000-$5,000+/month for comparable team sizes, but often include more sophisticated AI, better integrations, and dedicated support. You should also factor in implementation costs (often $5,000-$20,000 for professional services), internal training time, and potential CRM cleanup expenses before the platform is fully operational. For a 25-person team on a tight budget, Dooly or Scratchpad are rational choices at around $900/month all-in. If forecast accuracy directly impacts your funding rounds or commission accuracy is critical, the ROI from more sophisticated platforms often justifies the higher cost. We recommend requesting detailed ROI calculations from vendors showing how improved forecast accuracy translates to financial benefit specific to your business.
Yes, but the improvement depends on several factors. Platforms using AI-powered deal scoring and activity analysis typically improve forecast accuracy by 15-30% compared to rep-based estimates alone. This improvement comes from analyzing patterns reps might miss—detecting deals at risk based on lack of engagement, identifying buying committee changes that affect close probability, and accounting for seasonal trends. However, forecast accuracy improvements require clean CRM data as a foundation. If your pipeline stages are poorly defined, close dates are frequently wrong, or reps don't log activities, any software will show minimal improvement. The best results come from combining software implementation with process improvements: standardizing pipeline definitions, requiring activity logging discipline, and coaching reps on accurate deal probability assessment. Many organizations see their biggest forecast accuracy gains in the first three months after implementing dedicated software, then continue improving as data quality increases. If your current forecast misses are larger than 15-20% quarter-over-quarter, software implementation is likely to deliver measurable improvement.
Conclusion
Selecting the right revenue forecasting software requires matching your team's maturity, budget, and specific pain points to the right platform. For early-stage startups (Seed through Series A), Dooly or Zendesk Sell offer the fastest path to better pipeline visibility without requiring complex implementation or large budget commitments. Series B companies with 20-50 reps typically find the best value in Scratchpad or Dooly, which provide sophisticated forecasting without the enterprise-level complexity and cost. Mid-market organizations (Series B-C) should evaluate Aviso and Vantage Point, which add AI-powered deal scoring and proactive pipeline monitoring that mature teams can leverage to drive significant forecast accuracy improvements. Enterprise organizations managing complex, multi-region pipelines benefit from InsightSquared, Salesforce Revenue Cloud, or Weflow, which provide governance, standardization, and executive reporting necessary at scale. For organizations where data quality is a known challenge, People.ai or Pavlov should be high on your evaluation list—automatic activity capture solves the fundamental data completeness problem that undermines forecasting accuracy. Before committing to any platform, audit your current CRM data quality, define what 'forecast accuracy improvement' means for your business (is it reducing variance, hitting quarterly targets, or improving rep compliance?), and confirm integration capabilities with your existing tech stack. Most vendors offer free trials or pilots—use these to test with real data before committing to longer-term contracts. If you need help assessing your revenue operations maturity or designing implementation timelines, RevAlign.io provides advisory services to help sales leadership select and implement forecasting systems aligned with your organizational goals.
Need Help Implementing These Tools?
RevAlign builds GTM flywheels for B2B startups. We integrate your tools into one system where every channel compounds.