Best Sales Forecasting Tools for SMBs

Best Sales Forecasting Tools for SMBs

Updated June 23, 20262,182 words5 tools compared

Sales forecasting is one of the most critical functions in growing companies, yet many SMBs still rely on spreadsheets and gut feelings to predict revenue. The right forecasting tool can transform how you plan resources, manage cash flow, and communicate with investors. When you can accurately predict pipeline outcomes, you're not guessing anymore—you're planning with confidence. In this guide, we've evaluated the leading sales forecasting platforms specifically suited for small and mid-sized businesses. Whether you need AI-powered insights, conversation intelligence, or simple pipeline visibility, we'll help you find the tool that matches your team's size, budget, and complexity level.

Quick Comparison

ProductBest ForStarting PriceRatingKey Feature
ClariEnterprise revenue orchestrationCustom pricing4.6/5AI-powered revenue forecasting with pipeline intelligence
GongConversation-driven forecastingCustom pricing4.7/5Multimodal revenue signal processing and deal analysis
ChorusSales team collaborationCustom pricing4.5/5Conversation intelligence and deal tracking
DoolySales operations teamsStarting at $10/user/mo4.6/5One-page sales dashboard with live deal data
People.aiData-driven forecastingCustom pricing4.6/5AI relationship and activity intelligence
AvisoMid-market sales teamsCustom pricing4.5/5AI coaching and forecasting accuracy
ScratchpadDaily deal managementStarting at $15/user/mo4.4/5Lightweight CRM alternative with forecasting

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 and scaling mid-market companies needing comprehensive revenue management

Clari stands out as the most comprehensive revenue orchestration platform designed for companies that need enterprise-grade forecasting with deep pipeline visibility. The platform combines AI-powered forecasting with conversation intelligence and deal management in a single interface, eliminating the need to toggle between multiple tools. While positioned for enterprise, Clari's capabilities make it worth evaluating for scaling SMBs that have outgrown basic tools and need production-grade accuracy in their revenue predictions.

Pricing: Custom pricing (contact sales required). Typically positioned for companies with $10M+ ARR.

Key Features

  • AI-powered revenue forecasting
  • Pipeline intelligence and deal scoring
  • Conversation recording and analysis
  • Revenue context across all customer touchpoints
  • Predictive deal probability modeling

Pros

  • +Most accurate forecasting accuracy with machine learning that learns from your deal patterns
  • +Integrates conversation intelligence directly into forecasting—see what customers actually said about their buying timeline
  • +Provides deal health scoring that flags at-risk opportunities before they slip
  • +Comprehensive audit trail for forecast accountability

Cons

  • -Significant implementation lift—requires proper data hygiene and CRM discipline
  • -Pricing and complexity may be overkill for teams under 15 sales reps
  • -Steep learning curve compared to simpler forecasting tools

Verdict

If your SMB has sophisticated revenue needs and plans to scale, Clari is the most powerful option available. The AI-powered accuracy and conversation intelligence provide genuine competitive advantages in complex sales cycles. However, you'll need proper CRM discipline and likely professional services support to maximize ROI.

#2

Gong

Best For: Sales teams that want forecasting powered by conversation and behavioral analysis

Gong has evolved beyond conversation intelligence into a full Revenue AI OS that powers forecasting through multimodal signal processing. The platform analyzes every customer interaction—calls, emails, meetings, and CRM data—to build predictive models of deal progression and forecast accuracy. Gong's strength lies in its ability to surface the specific customer signals that indicate deal progression, making forecasting feel less like guessing and more like pattern recognition based on actual buyer behavior.

Pricing: Custom pricing (contact sales required). Enterprise-focused pricing model.

Key Features

  • Multimodal revenue signal processing
  • Conversation intelligence with call recording
  • AI agents for pattern recognition
  • Deal momentum analysis
  • Forecast accuracy metrics and performance tracking

Pros

  • +Industry-leading conversation intelligence that captures context humans miss
  • +Specialized AI agents handle specific forecasting workflows
  • +Exceptional at identifying early warning signs of deals going sideways
  • +Strong integrations with major CRM and communication platforms

Cons

  • -Higher price point limits accessibility for smaller SMBs
  • -Requires robust tech stack to maximize value
  • -Can feel feature-heavy for teams not leveraging conversation intelligence

Verdict

Gong is ideal for sales teams that conduct significant discovery through conversations and calls. If your sales process involves deep customer interactions and you want to understand what buyers are actually saying to improve forecasting, Gong delivers measurable value. The conversation-based forecasting approach tends to be more accurate than CRM-only methods.

#3

Dooly

Best For: Sales teams prioritizing daily pipeline visibility and transparency over predictive analytics

Dooly takes a fundamentally different approach to forecasting by focusing on daily deal management and pipeline visibility rather than AI prediction models. The platform condenses your entire sales operations view into a single-page dashboard where every team member can see current pipeline status, upcoming close dates, and deal movement in real-time. This transparency-first approach works exceptionally well for SMBs that need practical forecasting without the complexity of machine learning models.

Pricing: Starts at $10/user/month for the core platform. SMB-friendly pricing that scales with team size.

Key Features

  • One-page sales dashboard with live deal visibility
  • Activity tracking integrated with email and calendar
  • Weekly forecast snapshots for trend analysis
  • Slack integration for daily pipeline updates
  • Mobile app for on-the-go deal updates

Pros

  • +Most affordable option for SMBs—$10/user pricing is genuinely accessible
  • +Minimal learning curve—represents how sales teams actually work
  • +Real-time deal visibility means forecasts reflect current reality, not stale CRM data
  • +Excellent mobile experience for distributed teams

Cons

  • -Lacks advanced AI-powered prediction models
  • -Forecasting accuracy depends entirely on sales rep diligence in updating deals
  • -Smaller ecosystem of integrations compared to enterprise platforms

Verdict

Dooly is the best choice for SMBs that want practical forecasting without sophisticated AI or conversation intelligence. If your main challenge is getting sales reps to maintain accurate, current deal information, Dooly solves that elegantly. The pricing and usability make it accessible for teams of any size, and the real-time visibility often reveals forecasting insights that AI platforms miss.

#4

People.ai

Best For: Teams with complex, multi-stakeholder deals requiring relationship intelligence to forecast

People.ai focuses specifically on understanding buyer relationships and engagement patterns to inform forecasting. The platform uses AI to analyze every customer interaction—email, meeting, call—to track relationship development and predict deal velocity. This relationship-intelligence approach to forecasting works particularly well for enterprise sales cycles where deal progression depends heavily on building and maintaining key stakeholder relationships throughout the buying process.

Pricing: Custom pricing (contact sales). Mid-market and enterprise focused.

Key Features

  • AI-powered relationship intelligence
  • Engagement scoring across all touchpoints
  • Stakeholder mapping and influence tracking
  • Activity intelligence and conversation analysis
  • Predictive deal velocity modeling

Pros

  • +Unique focus on relationship development provides forecasting visibility competitors miss
  • +Excellent at identifying deal momentum shifts based on engagement patterns
  • +Shows which stakeholders are most engaged—critical for complex sales
  • +Integrates activity intelligence directly into CRM

Cons

  • -Pricing accessible primarily to mid-market and above
  • -Requires multiple customer touchpoints to build accurate relationship intelligence
  • -Less useful for short-cycle sales processes

Verdict

People.ai excels when your sales cycles depend on building and managing relationships across multiple stakeholders. If you're selling to enterprise customers with long buying committees, the relationship intelligence approach to forecasting outperforms transaction-focused alternatives. The engagement scoring and stakeholder tracking provide competitive advantages in complex deals.

#5

Scratchpad

Best For: Lean sales teams wanting accurate deal tracking without heavy CRM overhead

Scratchpad offers a lightweight alternative to full CRM systems for sales teams that want forecasting without the administrative burden of traditional CRM data entry. The platform sits between spreadsheets and CRM, capturing deal information in context—directly where sales reps work—rather than forcing them into separate software. This low-friction approach to deal tracking often results in more accurate pipeline data and therefore better forecasting than heavier systems where data entry is tedious.

Pricing: Starts at $15/user/month. Simple, transparent pricing without enterprise minimums.

Key Features

  • Lightweight deal tracking without CRM complexity
  • Email and Slack-based deal logging
  • Automatic activity capture from email and calendar
  • Weekly forecast snapshots
  • Customizable deal pipelines and stages

Pros

  • +Dramatically lower friction than traditional CRM—data entry happens naturally
  • +Affordable pricing makes it accessible to very small teams
  • +Excellent for early-stage companies that haven't formalized sales processes
  • +Mobile-friendly interface works well for remote teams

Cons

  • -Limited to deal tracking; lacks conversation intelligence or advanced analytics
  • -Smaller feature set than comprehensive platforms
  • -Less suitable for teams with complex sales processes or forecasting requirements

Verdict

Scratchpad is the smart choice for early-stage SMBs that need working forecasts without CRM burden. If your team is currently using spreadsheets or your CRM is gathering dust because data entry is painful, Scratchpad's low-friction approach will likely result in better forecast accuracy simply because reps will maintain data. The pricing is hard to beat for bootstrapped teams.

Frequently Asked Questions about best sales forecasting tools for smbs

AI-powered forecasting (like Clari and Gong) analyzes historical deal data, customer interactions, and engagement patterns to predict which opportunities will close and when. These systems learn from your specific business patterns and improve over time. Pipeline-based forecasting (like Dooly and Scratchpad) relies on sales rep estimates of probability and close date—it's only as accurate as your team's consistency. AI approaches typically achieve 5-15% higher accuracy, but they require clean historical data and more training time. For SMBs early in their forecasting maturity, pipeline-based tools often provide faster time-to-value, while AI-powered platforms deliver better accuracy once you've built sufficient historical data.

Spreadsheets fail at scale for three reasons: they don't update in real-time (your forecast is stale by afternoon), they lack visibility (managers can't see live pipeline), and they create data silos (each rep maintains their own version). Forecasting software addresses all three issues. For teams under 5 reps with simple deal structures, a spreadsheet might work temporarily. But once you have 5+ reps or variable deal sizes, forecasting software pays for itself through better cash flow planning and more accurate board communications. Most tools cost $10-50/user/month—less than the value of accurate cash flow planning for one month. We'd recommend starting with Dooly or Scratchpad (most affordable) rather than scaling spreadsheets.

Implementation time varies dramatically. Dooly and Scratchpad can be running with basic functionality in 1-2 weeks—they integrate with your existing systems without requiring data migration. Clari and Gong typically require 4-8 weeks because they need historical deal data, proper CRM hygiene, and team training to deliver on AI accuracy. Mid-range tools like People.ai usually land at 2-4 weeks. Beyond software setup, the bigger variable is organizational adoption—getting sales reps to maintain data consistently. Most teams see meaningful forecasting improvement 30 days post-implementation, but AI-powered accuracy takes 60-90 days of historical data. For implementation support, RevAlign.io helps companies deploy these tools with minimal disruption and accelerated adoption.

Start with Dooly ($10/user/month) or Scratchpad ($15/user/month). Both provide solid forecasting fundamentals without enterprise pricing. For a 5-person team, you're looking at $50-75/month total—less than most CRM upgrades. These tools deliver 80% of the value at 20% of the enterprise price point. As you scale past $2M ARR, revisit whether you need AI-powered forecasting from Clari or Gong. The cutoff typically happens around 10-15 sales reps or when your deal complexity makes manual pipeline tracking unmanageable. Many successful SMBs use Dooly for years without outgrowing it, particularly in transactional sales models.

Conclusion

The best sales forecasting tool for your SMB depends on three variables: team size, deal complexity, and budget. If you're bootstrapped or early-stage, start with Dooly or Scratchpad—both deliver working forecasts at SMB-friendly pricing and prove the concept before investing in enterprise platforms. If you're past $1M ARR with 5+ reps and your sales cycles are becoming complex, move toward Gong or People.ai for conversation and relationship intelligence. Reserve Clari for scaling mid-market companies that need enterprise-grade revenue orchestration across multiple teams and complex forecasting requirements.

The most common mistake SMBs make is either avoiding forecasting software entirely (sticking with spreadsheets) or implementing overly complex platforms their team won't use. Start simple, build discipline around deal data quality, then upgrade when your specific business needs reveal themselves. Accurate forecasting isn't about sophisticated AI—it's about real-time visibility into your actual pipeline. Whether that comes from AI analysis or disciplined rep updates matters less than having current, trustworthy data. Pick a tool aligned with your current complexity, commit to 60 days of consistent adoption, then evaluate whether you need more sophisticated capabilities.

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