Sales Forecasting Software for SaaS Teams
Replace gut-feel forecasts with data-driven revenue predictions. DealARR uses AI and your actual deal book data to forecast ARR with confidence.
Why SaaS Forecasting Is Broken
Most SaaS companies rely on CRM probability fields and spreadsheet models that consistently miss the mark. The result: sandbagged forecasts, surprise misses, and boards that don't trust the numbers.
How DealARR Improves Forecast Accuracy
12-Month ARR/MRR Projections
AI-powered linear regression on historical deal data with confidence intervals and scenario modeling.
Churn Risk Scoring
AI identifies at-risk customers before they churn, so CS can intervene and protect forecasted revenue.
Pipeline Coverage Analysis
Measure pipeline coverage against quota targets with gap analysis and risk indicators per rep.
Deal Health Scoring
Automatic deal health assessment based on contract dates, renewal status, and engagement patterns.
Rep-Level Forecasts
Individual salesperson and CSP predictions with performance trends and quota attainment tracking.
AI Scenario Planning
Bear, base, and bull scenarios with sensitivity analysis to stress-test your revenue projections.
What Teams Achieve
Sales Forecasting FAQ
DealARR uses AI-powered linear regression models with confidence intervals on your actual deal book data — not CRM probability fields. Combined with churn risk scoring, renewal pipeline tracking, and historical pattern analysis, teams typically reduce forecast error from 30%+ to under 10%.
DealARR combines bottom-up deal-level analysis with AI-powered regression models. It forecasts ARR, MRR, and revenue across 12-month horizons with bear/base/bull scenarios and confidence intervals.
Yes. DealARR provides per-salesperson and per-CSP performance predictions with personalized insights, quota attainment tracking, and pipeline coverage ratios.
DealARR complements your CRM. Import deals from HubSpot or Freshsales, and let DealARR handle the forecasting, ARR calculations, and revenue intelligence layer that CRMs don't provide.