10 Best Sales Forecasting Tools for Accuracy in 2026
CRM rollup forecasts are notoriously inaccurate because they rely on rep gut feel. Modern forecasting tools use AI to analyze deal signals, activity patterns, and historical data for predictions you can trust. We tested 13+ platforms to find the best for revenue predictability.
Clari pioneered AI-powered sales forecasting and remains the market leader. The platform analyzes activity signals, deal progression patterns, and historical data to predict outcomes far more accurately than rep-submitted forecasts. Pipeline inspection shows exactly which deals are at risk and why. The revenue platform provides complete visibility from pipeline to close.
Starting priceCustom
Strengths
Industry-leading forecast accuracy
Comprehensive pipeline inspection
AI-driven deal risk scoring
Strong Salesforce integration
Executive dashboards
Limitations
Enterprise pricing
Complex implementation
Requires good CRM data hygiene
Who it's for: Best for enterprise sales organizations where forecast accuracy is critical for planning. Ideal for companies with 50+ reps.
Gong Forecast is unique because it incorporates actual conversation data into predictions. Instead of relying solely on CRM fields, Gong analyzes what buyers actually say and how they engage. Deal health scores reflect real buyer sentiment. Reality-based forecasting is more accurate because it's based on conversations, not rep opinions.
Starting priceCustom
Strengths
Conversation data in forecasts
Real buyer engagement signals
Deal health from actual calls
Unique data source
Integrated coaching
Limitations
Requires Gong call recording
Enterprise pricing
Best with high call volume
Who it's for: Best for teams using Gong who want forecasts informed by actual buyer conversations.
Aviso provides the most advanced AI for sales forecasting, going beyond predictions to prescriptive recommendations. WinScore predicts deal outcomes with high accuracy. The platform recommends specific actions to improve deal outcomes. Guided selling helps reps follow winning patterns.
Starting priceCustom
Strengths
Advanced AI predictions
Prescriptive recommendations
WinScore deal scoring
Guided selling actions
Deep analytics
Limitations
Enterprise focus and pricing
Complex AI requires trust-building
Longer implementation
Who it's for: Best for enterprise sales organizations that want AI to go beyond prediction to prescription.
InsightSquared provides revenue intelligence with faster time to value than enterprise platforms. Forecasting uses AI to improve accuracy over CRM rollups. The platform works well for mid-market companies that need forecasting without enterprise complexity.
Starting priceCustom
Strengths
Faster implementation
Good for mid-market
AI-powered forecasting
Salesforce and HubSpot
Revenue analytics
Limitations
Less AI depth than leaders
Fewer advanced features
Growing platform
Who it's for: Best for mid-market companies that want forecasting without enterprise complexity.
BoostUp is built for revenue operations teams managing forecasting processes. The platform combines AI forecasting with deal inspection and pipeline reviews. Forecast submission workflows help managers roll up accurate numbers. It's designed for structured forecasting processes.
Starting priceCustom
Strengths
Built for RevOps
Forecast submission workflows
Deal inspection
Pipeline review tools
Strong integrations
Limitations
Newer to market
RevOps focused
Less brand recognition
Who it's for: Best for revenue operations teams that own the forecasting process.
Salesforce Revenue Intelligence brings AI forecasting natively into Salesforce. Einstein AI scores opportunities and predicts outcomes. For Salesforce customers, there's no integration complexity. The platform lives inside the CRM where reps already work.
Strengths
Native Salesforce integration
Einstein AI predictions
No external tool
Opportunity scoring
Pipeline visibility
Limitations
Less specialized than pure-play tools
Salesforce only
Premium pricing
Who it's for: Best for Salesforce customers who want forecasting without additional vendors.
Outreach Commit provides forecasting natively within the Outreach sales engagement platform. Activity data from sequences informs predictions. For Outreach customers, forecasting connects directly to engagement activities.
Starting priceIncluded
Strengths
Native Outreach integration
Activity-informed forecasts
Deal signals from sequences
Unified platform
Included with Outreach
Limitations
Requires Outreach platform
Less standalone value
Newer forecasting focus
Who it's for: Best for Outreach customers who want forecasting connected to engagement data.
Revenue.io (formerly RingDNA) combines real-time conversation guidance with forecasting. The platform captures call data and uses it to inform predictions. Real-time coaching during calls helps reps execute. Forecasting benefits from conversation intelligence.
Starting priceCustom
Strengths
Real-time call guidance
Conversation intelligence
Call data in forecasts
Coaching built-in
Salesforce integration
Limitations
Telephony focus
Less pure forecasting
Smaller market presence
Who it's for: Best for inside sales teams that want real-time guidance plus forecasting.
Weflow focuses on improving the data that makes forecasts accurate. The platform simplifies CRM updates so reps actually do them. Better data leads to better forecasts. It's a different approach: fix the data problem first.
Starting price$39/user/mo
Strengths
Simplifies CRM updates
Better data quality
Pipeline inspection
Salesforce sync
Affordable pricing
Limitations
No AI predictions
Focused on data hygiene
Less forecasting depth
Who it's for: Best for teams that need to fix CRM data quality before adding forecasting AI.
We assessed each platform on real forecasting scenarios:
Forecast Accuracy (30%) — Ability to predict outcomes more accurately than CRM rollups.
Deal Intelligence (25%) — Quality of deal scoring, risk identification, and recommendations.
Ease of Adoption (20%) — Time to value and change management required.
CRM Integration (15%) — Depth of Salesforce, HubSpot, and other CRM integrations.
Value for Money (10%) — ROI potential relative to investment.
How to Choose
Choose Clari if you need Enterprise, best accuracy.
Choose Gong Forecast if you need Using Gong calls.
Choose Aviso if you need AI prescriptive guidance.
Choose InsightSquared if you need Mid-market, fast start.
Choose BoostUp if you need RevOps team.
Choose SF Revenue Intelligence if you need Salesforce only.
Choose Outreach Commit if you need Outreach customer.
Choose HubSpot Forecasting if you need HubSpot customer.
Choose Weflow if you need Data quality issues.
Common Questions
CRM rollups rely on rep-submitted predictions which reflect optimism bias. AI analyzes objective signals: activity patterns, deal progression, historical outcomes, and email/call engagement. These signals predict outcomes better than gut feel.
Most platforms need 2-3 quarters of historical data to train models. Accuracy improves as more deals close and patterns emerge. Start by running AI forecasts alongside traditional methods to build trust.
Most organizations supplement rather than replace. AI provides the baseline prediction; reps add context AI can't see (like verbal commitments or relationship dynamics). The combination often works best.
You need: consistent stage definitions, deal amounts populated, close dates maintained, and ideally activity data captured. Garbage in = garbage out. Some teams start with data cleanup before adding AI.
