9 Best Sales Forecasting Tools for B2B SaaS

9 Best Sales Forecasting Tools for B2B SaaS

Updated June 18, 20263,721 words9 tools compared

Accurate sales forecasting is the difference between hitting quota and missing targets by 20%. Yet most B2B SaaS companies still rely on spreadsheets and gut feelings to predict revenue. This outdated approach leads to inaccurate forecasts, surprised stakeholders, and missed growth opportunities.

Modern sales forecasting tools use AI and real-time data to give you visibility into your pipeline before deals slip. They analyze conversation intelligence, engagement patterns, and historical trends to predict which deals will close and when.

We've reviewed the 9 best sales forecasting tools for B2B SaaS companies. Whether you're a Series A startup needing affordable forecasting or an enterprise managing complex multi-stakeholder deals, this guide will help you find the right solution for your team.

Quick Comparison

ProductBest ForStarting PriceRatingKey Feature
ClariEnterprise revenue teamsContact sales4.7/5Revenue Orchestration Platform with AI forecasting
GongMulti-team revenue intelligenceContact sales4.6/5Multimodal conversation intelligence
ChorusSales leadership insightsContact sales4.5/5Conversation recording and analysis
People.aiSales analytics and forecastingContact sales4.4/5Autonomous sales intelligence
AvisoMid-market forecastingContact sales4.3/5Predictive AI and opportunity scoring
DoolySales rep productivity$50/user/mo4.6/5Integrated CRM workspace
ScratchpadSales team collaborationContact sales4.4/5Lightweight CRM alternative
WeflowPipeline managementContact sales4.2/5Visual pipeline forecasting
BoostUpSales performance trackingContact sales4.1/5Deal analytics and insights

Scroll horizontally to see all columns

Detailed Reviews

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

#1

Clari

Top Pick

Best For: Enterprise SaaS companies with complex multi-stakeholder deals and revenue teams larger than 50 people

Clari stands out as the most comprehensive revenue orchestration platform specifically designed for enterprise B2B SaaS companies managing complex forecasting needs. Their AI-powered system combines deal data, engagement signals, and historical patterns to deliver accurate revenue predictions. The platform integrates directly with your CRM to automatically surface at-risk deals and forecast adjustments without manual data entry.

Pricing: Contact sales for custom pricing; typical enterprise deployments start at $50,000+ annually

Key Features

  • AI-powered revenue forecasting with confidence scoring
  • Real-time deal health indicators and risk alerts
  • Revenue context from CRM, email, and calendar data
  • Automated forecast reviews and variance analysis
  • Cross-functional revenue team collaboration

Pros

  • +Most accurate forecasting accuracy among enterprise platforms, with reported 15-20% improvement in forecast accuracy
  • +Completely automated data capture eliminates manual deal updates and reduces rep friction
  • +Enterprise-grade security and compliance (SOC 2, GDPR) for regulated industries
  • +Dedicated success team helps customize the platform to your specific sales process

Cons

  • -Pricing is enterprise-only and prohibitively expensive for Series A/B startups
  • -Requires significant implementation effort (typically 8-12 weeks) and ongoing change management
  • -AI model quality depends heavily on clean CRM data; garbage in equals garbage out

Verdict

Clari is the market leader for enterprise revenue forecasting and should be your first choice if you have 50+ sales reps and a budget of $100K+. The accuracy improvements and automation ROI justify the investment for larger teams. For smaller SaaS companies, the cost-to-value proposition doesn't work.

#2

Gong

Best For: Enterprise companies with large AE teams who want conversation intelligence combined with forecasting capabilities

Gong has built the most comprehensive conversation intelligence platform that directly improves sales forecasting accuracy. By analyzing calls, meetings, and demos, Gong's AI identifies commitment signals, pushback patterns, and deal momentum that sales reps miss. This real-time intelligence automatically feeds into their Revenue AI OS to improve forecast predictions and surface coaching opportunities for pipeline deals.

Pricing: Contact sales for custom pricing; enterprise packages typically start at $75,000+ annually depending on seat count and data volume

Key Features

  • Multimodal conversation intelligence from calls, emails, and meetings
  • Deal momentum scoring based on customer sentiment and engagement
  • Specialized AI agents for different GTM functions (sales, marketing, customer success)
  • Automatic deal health updates from conversation insights
  • Video and transcript search across entire organization

Pros

  • +Conversation intelligence is the single best predictor of deal closure; Gong captures this systematically
  • +Multi-user support means the entire GTM team benefits from insights, not just sales leaders
  • +Powerful search and analytics across all customer interactions creates institutional knowledge
  • +AI agents specialized by function (sales, marketing, success) provide targeted insights for each team

Cons

  • -Very expensive with pricing that scales with call volume and user count
  • -Implementation complexity is high; requires 10-12 weeks and significant IT involvement
  • -Conversation intelligence value depends on high-quality call recordings, which some teams struggle to achieve

Verdict

Gong is essential if your sales process is heavily call-based and you want the most sophisticated conversation intelligence on the market. The forecasting improvements come from understanding deal momentum through real conversations. Best for teams with 30+ AEs and strong coaching cultures. Skip if your sales cycle is deal-review focused versus call-driven.

#3

Chorus

Best For: Sales organizations focused on rep coaching and improving team consistency through conversation analysis

Chorus provides conversation intelligence specifically optimized for sales team coaching and forecasting accuracy. The platform records and transcribes all customer interactions, then flags key moments like pricing discussions, objection handling, and buying signals. This intelligence automatically improves forecast accuracy by highlighting deals that need attention and reps who need coaching to close more business.

Pricing: Contact sales; typically $40,000-$80,000 annually depending on call volume and team size

Key Features

  • Automatic call recording and transcription with speaker identification
  • AI-powered highlights capturing key moments and buying signals
  • Rep performance benchmarking across team and peer groups
  • Coaching workflows and skill-gap identification
  • CRM integration for automatic deal insights

Pros

  • +Conversation intelligence directly improves forecast accuracy by surfacing deal momentum early
  • +Exceptional coaching features help managers identify training gaps and improve rep consistency
  • +Lower implementation burden than Gong with faster time-to-value (4-6 weeks typical)
  • +Strong focus on rep experience means less friction than competing platforms

Cons

  • -Pricing increases significantly with call volume, which can become prohibitive at scale
  • -Forecasting capabilities are secondary to coaching; primary focus is rep development
  • -Requires nearly 100% call recording adoption to deliver full value

Verdict

Chorus is the best choice if your primary goal is improving rep performance through conversation analysis, with forecasting as a secondary benefit. The coaching features are superior to Gong's, making it ideal for sales leaders who believe better coaching creates better forecasts. Budget $50,000-$80,000 annually for a typical Series B SaaS team.

#4

People.ai

Best For: Mid-market to enterprise SaaS companies frustrated by poor CRM hygiene and manual forecasting processes

People.ai takes a unique autonomous intelligence approach to sales forecasting, automatically capturing all customer interactions without manual logging. Their platform eliminates CRM busy work by intelligently mapping emails, calls, and meetings to the right deals and opportunities. This creates a complete activity record that feeds into predictive forecasting models, giving you accurate insights without rep friction or manual data entry.

Pricing: Contact sales for custom pricing; typically $30,000-$60,000 annually depending on organization size

Key Features

  • Autonomous activity capture from email, calendar, and phone systems
  • Automatic deal mapping and opportunity intelligence without CRM updates
  • Predictive forecasting based on complete interaction history
  • Customer engagement scoring and momentum tracking
  • Automated CRM hygiene and activity logging

Pros

  • +Eliminates the single biggest cause of poor forecasts: incomplete or stale CRM data
  • +Reduces rep administrative burden significantly, improving adoption and morale
  • +Predictive models are fed by actual customer interactions, making forecasts more accurate
  • +Works well as a CRM alternative for organizations with poor Salesforce adoption

Cons

  • -Less sophisticated than Gong for conversation intelligence; primarily activity-based
  • -Privacy and compliance considerations since the platform monitors all email and calendar activity
  • -Forecasting features are relatively basic compared to Clari or Aviso

Verdict

People.ai is your best option if you're drowning in manual CRM entry and your reps refuse to update opportunities. The autonomous capture approach solves the root cause of poor forecasts: incomplete data. Ideal for Series B companies with 20-50 AEs. The ROI comes from rep time savings combined with better forecast accuracy from complete data.

#5

Aviso

Best For: Mid-market SaaS companies (Series B-C) seeking predictive forecasting without enterprise implementation burden

Aviso combines predictive AI forecasting with intelligent opportunity scoring to help mid-market B2B SaaS companies improve pipeline accuracy. Their platform learns from your historical win/loss patterns to score active opportunities and predict the probability of closure. Built specifically for sales leaders managing complex B2B pipelines, Aviso provides the AI-powered insights you need without enterprise-grade pricing or implementation complexity.

Pricing: Contact sales; typically $20,000-$40,000 annually for mid-market teams

Key Features

  • Predictive opportunity scoring based on historical win patterns
  • Forecast accuracy trending and variance analysis
  • Risk detection for deals at threat of slipping or closing early
  • Sales rep performance insights and pipeline visibility
  • Intelligent opportunity recommendations for reps

Pros

  • +Significantly less expensive than Clari or Gong while still delivering solid forecasting accuracy
  • +Faster implementation than enterprise platforms; typical deployment 4-6 weeks
  • +Prediction models specifically trained on B2B SaaS patterns and deal cycles
  • +Strong customer success team provides ongoing model optimization

Cons

  • -Less sophisticated conversation intelligence compared to Gong or Chorus
  • -Forecasting accuracy depends on having 1-2 years of historical win/loss data
  • -UI is functional but not as polished as some competing platforms

Verdict

Aviso is the smart choice for Series B-C SaaS companies that need serious forecasting accuracy without enterprise pricing. The predictive models are specifically trained on B2B SaaS deal patterns, giving you relevant predictions for your business. If you have clean historical data and realistic forecast improvement expectations, Aviso delivers 80% of Clari's value at 40% of the cost.

#6

Dooly

Best For: Series A-B SaaS companies with 10-30 AEs looking for a lightweight forecasting tool that doesn't require reps to change their workflow

Dooly approaches sales forecasting differently, focusing on eliminating rep friction through a lightweight integrated workspace. Instead of a heavy forecasting platform, Dooly sits inside your rep's workflow as an always-on sales assistant. The platform helps reps stay productive while automatically capturing deal data and providing real-time forecast insights. This lighter approach works well for sales-driven teams that prioritize rep experience over complex analytics.

Pricing: $50-$100 per user per month; typical Series A team of 15 reps costs $7,500-$15,000 annually

Key Features

  • Integrated CRM workspace for sales reps with real-time deal guidance
  • Automatic deal status updates and forecast contributions
  • Sales rep activity tracking and productivity insights
  • Mobile app for on-the-go pipeline updates
  • Lightweight forecasting dashboard for sales leaders

Pros

  • +Per-seat pricing is transparent and predictable; no surprise costs as you scale
  • +Minimal implementation burden; reps can start using it within days
  • +Strong product-market fit with early-stage sales teams who value simplicity
  • +Lightweight approach means less admin overhead compared to enterprise platforms

Cons

  • -Forecasting features are basic compared to AI-powered platforms; doesn't use predictive models
  • -Less valuable for teams with poor CRM hygiene since it depends on rep accuracy
  • -Limited conversation intelligence or deal momentum analysis

Verdict

Dooly is the right choice if you're a Series A company with a small, disciplined sales team that actively manages their CRM. The per-seat pricing means you can scale affordably, and the lightweight approach won't overwhelm young teams. Avoid if your reps don't keep CRM up-to-date or if you need sophisticated predictive forecasting. This is a productivity tool first, forecasting tool second.

#7

Scratchpad

Best For: Early-stage SaaS companies (pre-Series A to Series A) seeking a lightweight CRM alternative for better data quality

Scratchpad is a lightweight CRM alternative designed specifically for high-velocity sales teams. Rather than a traditional CRM, Scratchpad provides a minimal sales workspace where reps manage deals, tasks, and pipeline information. The platform's simplicity makes it easy for reps to adopt, which improves data quality and forecasting accuracy. For early-stage SaaS companies where CRM adoption has been a struggle, Scratchpad offers an alternative that teams actually use.

Pricing: Contact sales; estimated $20-$35 per user per month based on available information

Key Features

  • Minimal deal tracking and pipeline management interface
  • Email integration for automatic activity capture
  • Task management and collaboration features
  • Mobile app for field sales teams
  • Simple reporting and pipeline visibility

Pros

  • +Exceptional ease of use means higher adoption and better data quality among reps
  • +Significantly cheaper than traditional CRM platforms like Salesforce or HubSpot
  • +Excellent for early-stage teams that find Salesforce overwhelming
  • +Active development team regularly adds features based on user feedback

Cons

  • -Forecasting capabilities are minimal; not designed as a forecasting platform
  • -Limited integrations with other revenue tools compared to Salesforce ecosystem
  • -Reports and insights are basic, not suitable for complex analysis

Verdict

Scratchpad is best for pre-Series A SaaS companies or early-stage teams struggling with Salesforce adoption. The forecasting value comes indirectly: higher adoption means more accurate data, which improves your ability to forecast. Don't choose Scratchpad if sophisticated forecasting is your primary need; choose it if your real problem is that reps won't use your CRM.

#8

Weflow

Best For: Sales teams that prefer visual pipeline management and want to improve deal flow visibility

Weflow takes a visual, Kanban-based approach to pipeline management and forecasting. Rather than dense dashboards and reports, Weflow organizes your pipeline into visual workflow stages where deals move as they progress. This visual approach helps sales leaders quickly spot bottlenecks and forecast issues. The platform is designed for sales managers who think visually about pipeline flow rather than through spreadsheet reports.

Pricing: Contact sales for custom pricing; estimated $25-$40 per user per month

Key Features

  • Kanban-style visual pipeline management
  • Deal flow automation based on trigger-based actions
  • Pipeline bottleneck identification and alerts
  • Team collaboration and deal ownership tracking
  • Simple forecasting based on pipeline movement

Pros

  • +Visual approach is intuitive and helps sales leaders spot pipeline issues quickly
  • +Deal flow automation reduces manual pipeline management work
  • +Strong adoption among visual thinkers and managers who dislike spreadsheets
  • +Lower learning curve compared to traditional CRM platforms

Cons

  • -Forecasting capabilities are limited compared to AI-powered platforms
  • -Doesn't integrate conversation intelligence or customer engagement data
  • -Less suitable for complex B2B sales processes with multiple stakeholders

Verdict

Weflow works best if your team is already visual thinkers and you want to improve pipeline flow management. The forecasting is secondary to the pipeline visibility benefits. Skip if you need predictive forecasting or conversation intelligence; Weflow is a visualization tool, not a forecasting engine.

#9

BoostUp

Best For: Series A-B SaaS companies seeking an affordable forecasting platform with strong analytics

BoostUp focuses on sales performance tracking and deal analytics to improve forecasting accuracy. The platform analyzes your current pipeline and historical data to identify patterns that predict successful deal closure. BoostUp is positioned as a more affordable alternative to enterprise forecasting platforms, targeting growing SaaS companies that need better visibility without enterprise pricing or complexity.

Pricing: Contact sales for custom pricing; estimated $15,000-$30,000 annually for typical Series A team

Key Features

  • Deal analytics and performance tracking
  • Historical win/loss pattern analysis
  • Sales rep performance benchmarking
  • Pipeline trend analysis and forecasting
  • CRM integration for automated data capture

Pros

  • +Significantly more affordable than Clari or Gong
  • +Analytics-focused approach appeals to data-driven sales leaders
  • +Doesn't require complex implementation; 3-4 week typical deployment
  • +Good customer support and implementation guidance

Cons

  • -Forecasting is based on historical analysis, not predictive AI models
  • -No conversation intelligence or real-time deal momentum tracking
  • -Limited to organizations that have consistent sales processes and deal types

Verdict

BoostUp is a reasonable choice if you're a Series A company looking for affordable forecasting analytics. The platform delivers solid historical analysis and trend reporting without AI complexity. However, it doesn't offer the predictive power of Aviso or Clari. Choose BoostUp only if budget is extremely constrained and you can accept that forecasting will be based on historical patterns rather than predictive models.

Frequently Asked Questions about best sales forecasting tools for b2b saas

Forecasting software costs vary dramatically based on company size and required sophistication. Early-stage startups (pre-Series A) with 5-10 AEs can use Dooly at $50-$100/user/month, totaling $3,000-$12,000 annually. Series A companies with 15-30 AEs should budget $20,000-$60,000 for tools like Aviso or People.ai. Series B-C companies with 30-50+ AEs typically spend $50,000-$150,000 annually for platforms like Clari or Gong. Enterprise SaaS companies with 100+ AEs budget $200,000+ for multi-system implementations. The key is matching tool sophistication to your team's maturity and data quality. A $100K forecasting platform won't improve accuracy if your sales team doesn't update the CRM.

Forecasting tools predict revenue based on pipeline data, historical patterns, and deal characteristics. Conversation intelligence platforms (like Gong and Chorus) analyze customer interactions to surface buying signals and deal momentum. The best modern forecasting tools combine both approaches: they analyze conversations to identify deal health, then feed that intelligence into forecasting models. Gong and Chorus primarily excel at conversation intelligence, while Clari and Aviso focus on forecasting. For maximum accuracy, consider how conversation data can improve your forecast models. Many companies layer conversation intelligence on top of a forecasting platform rather than choosing one or the other.

Implementation timeline varies significantly. Lightweight tools like Dooly or Scratchpad can be adopted in 1-2 weeks with minimal training. Mid-market platforms like Aviso typically require 4-6 weeks to get value, including data integration and team training. Enterprise platforms like Clari or Gong require 8-12 weeks of structured implementation involving IT, CRM administrators, sales leadership, and the vendor's implementation team. Timeline also depends on your starting point: companies with clean CRM data, documented sales processes, and disciplined reps implement faster. Those with CRM adoption challenges or undocumented processes need longer. Plan for 10-15% of the total implementation cost for change management and training.

The single most important feature is data accuracy and completeness. A sophisticated AI model fed garbage data produces garbage forecasts. Prioritize platforms that improve your underlying data quality, either through autonomous capture (People.ai), conversation intelligence (Gong), or workflow integration (Dooly). Second priority is ease of adoption by sales reps; if your team resists using the tool, the best forecasting algorithm in the world won't help. Third is accuracy trending and transparency: good platforms show you month-over-month forecast accuracy improvements so you can measure ROI. Advanced features like risk detection and deal scoring matter less than getting the fundamentals right: clean data, team adoption, and measurable accuracy improvements.

Quality forecasting tools absolutely improve accuracy when implemented properly. Research shows companies using AI-powered forecasting see 15-25% improvement in forecast accuracy compared to spreadsheet-based forecasting. However, improvements depend on three factors: clean historical data (at least 12 months), consistent sales processes, and honest pipeline qualification. Tools work best in established markets and mature sales motions; they struggle with new products or market entry. Implementation requires changing how managers think about forecasting: instead of rep gut feelings or arbitrary adjustments, decisions should be based on model predictions. This requires training and culture change. Set realistic expectations: forecasting tools improve accuracy and reduce variance, but they don't eliminate forecast misses entirely. View them as one input into your forecast process, not a replacement for sales leadership judgment.

Start by evaluating your current forecasting challenges. If deals consistently surprise you at close or reps misrepresent deal status, conversation intelligence helps because it reveals deal momentum independently. If your primary issue is pipeline visibility and accurately projecting next quarter's revenue based on current pipeline, focus on pipeline forecasting tools. Most effective companies use both: conversation intelligence (Gong/Chorus) identifies deal momentum, while pipeline forecasting (Clari/Aviso) predicts revenue. If you must choose one, conversation intelligence has broader organizational benefits since it helps with coaching and revenue operations. Pipeline forecasting has narrower use but is essential for finance teams and board reporting. Evaluate your budget and team maturity: conversation intelligence requires high call volume and good recording adoption, while pipeline forecasting depends on CRM hygiene.

Conclusion

Selecting the right sales forecasting tool depends on three factors: your team size, budget, and current data quality. For early-stage teams (Series A with under 25 AEs), start with Dooly or Aviso. These platforms deliver legitimate forecasting improvements at $20,000-$40,000 annually without the complexity of enterprise implementations. For established mid-market companies (Series B-C with 30-50 AEs), Aviso or People.ai provide the best value: strong predictive capability, reasonable pricing, and faster implementation than enterprise platforms.

Enterprise SaaS companies (50+ AEs) should evaluate Clari and Gong. Both platforms deliver superior accuracy through AI-powered analysis, but they require significant implementation investment and data quality upfront. Clari excels at pure forecasting orchestration, while Gong delivers the most comprehensive conversation intelligence that benefits entire GTM teams beyond just sales forecasting.

Regardless of which platform you select, remember that the tool is only as good as your underlying data. Invest equally in improving CRM hygiene, sales process documentation, and team adoption. Consider working with partners like RevAlign.io who specialize in implementing forecasting platforms and supporting the organizational change required to maximize their value. Start with one forecasting platform, measure accuracy improvements month-over-month, and expand to conversation intelligence or additional tools as your team matures. The right forecasting tool won't eliminate forecast misses, but it will dramatically improve your revenue visibility and predictability.

Need Help Implementing These Tools?

RevAlign builds GTM flywheels for B2B startups. We integrate your tools into one system where every channel compounds.

Get StartedLearn About GTM Flywheel