Forecasting
Revenue forecasting transforms raw opportunity data into actionable predictions. By analyzing deal values, pipeline stages, and historical performance, you gain visibility needed to set realistic targets, allocate resources, and identify revenue risks before they impact your bottom line.
What Forecasting Does
Forecasting relies on three core data sources: pipeline configuration, opportunity values, and status tracking. Navigate to Settings > Pipelines to define clear stages reflecting actual sales process (Prospecting, Qualification, Proposal, Negotiation, Closed Won). Go to Opportunities and verify each deal includes monetary value. Confirm opportunities are marked as Open, Won, Lost, or Abandoned (only Open and Won contribute to forecasts).
Assign close probability to each pipeline stage based on historical data or industry benchmarks: Prospecting (10%), Qualification (25%), Proposal (50%), Negotiation (75%), Closed Won (100%). These weights multiply opportunity values to generate weighted forecasts.
Access forecasting data across multiple modules. From Opportunities > Pipelines, select pipeline and view board. Top bar displays total opportunity value per stage, providing revenue distribution snapshot. Navigate to Dashboards and add custom widgets for pipeline value, win rate, and conversion metrics. Go to Reports > Opportunities for detailed breakdowns by stage, owner, source, and time period.
Key Configuration Options
Weighted revenue calculation: Sum all open opportunity values multiplied by respective stage probabilities. For example, $10,000 deal in Proposal stage (50% probability) contributes $5,000 to forecast.
Pipeline-level totals: Navigate to Opportunities > Pipelines, select pipeline. Platform automatically calculates total opportunity value per stage. Multiply each stage total by probability percentage to derive weighted revenue.
Multi-period forecasting: Break forecasts into monthly or quarterly segments by filtering opportunities by expected close date. Go to Opportunities, apply date range filter, group results by month. Sum weighted values per period to build revenue timeline.
Stage probability setup: Create custom field called “Stage Probability” and assign values per stage. Navigate to Settings > Custom Fields > Opportunities, add number field, populate when opportunities move stages.
Dynamic probability adjustment: Increase probability for highly engaged prospects (attended multiple demos, responded quickly, introduced decision-makers adds 10-15% to base). Reduce probability for stale opportunities (twice average duration decreases by 20-30%). Lower probability for deals exceeding average size by 3x or more (reduce by 10%).
Win Rate Analysis
Win rate measures percentage of opportunities converting to revenue. Divide total won opportunities by total opportunities (won plus lost). Exclude abandoned and open opportunities. Navigate to Reports > Opportunities, filter by status Won and Lost, group by date range. Platform displays win percentage automatically in many report views.
Segment by pipeline: Calculate win rates separately for each pipeline. Lead generation pipeline may have 15% win rate while inbound demo pipeline converts at 45%. Go to Reports, filter by pipeline, compare performance.
Stage conversion rates: Measure what percentage of opportunities advance from one stage to next. Navigate to Reports > Opportunities, group by stage, track progression over time. If 80% of deals move from Qualification to Proposal but only 30% progress from Proposal to Negotiation, Proposal stage needs attention.
Win rate by source: Compare across lead sources. Navigate to Reports > Opportunities, group by source, calculate win percentage for each channel. Direct budget toward high-converting sources. If referral leads convert at 60% while purchased lists convert at 8%, shift spending accordingly.
Period Comparison
Compare forecasts and actuals across time periods to reveal trends, validate assumptions, and improve future predictions.
Month-over-month trends: At start of each month, record weighted revenue forecast. At month end, compare forecasted revenue to actual closed revenue. Navigate to Reports > Opportunities, filter by closed date, sum won opportunity values. Calculate variance by subtracting actual from forecast. If consistently exceed actuals by 20%, reduce stage probabilities. If underestimate by 15%, increase probabilities. Recalibrate quarterly.
Quarter-over-quarter growth: Compare total closed revenue per quarter. Calculate percentage change: ((Q2 Revenue - Q1 Revenue) / Q1 Revenue) × 100. Track open opportunity value at start of each quarter. Growing pipeline values suggest future revenue growth. Declining values signal need for increased lead generation.
Year-over-year benchmarking: Compare current year revenue and win rates against prior years. Navigate to Reports, filter by year, analyze growth trends. Identify months with historically higher or lower close rates. If Q4 consistently delivers 40% of annual revenue, adjust resource allocation and forecast expectations accordingly.
Pro Tips
- Update opportunity values regularly. As deals progress, refine dollar amounts based on new information. Navigate to opportunity card, click Edit, adjust value field whenever scope or pricing changes. Accurate values lead to better forecasting.
- Set realistic close dates using historical cycle length data. Avoid optimistic estimates. Navigate to Opportunities, open card, set close date based on stage entry date plus average stage duration.
- Mark lost opportunities quickly. When deal is dead, mark Lost immediately. Leaving dead deals in Open status inflates forecasts. Navigate to opportunity card, change status to Lost, select lost reason.
- Hold weekly pipeline review meetings. Walk through high-value opportunities, validate stage placement, adjust close date estimates. Use Opportunities > Pipelines board view for visual review.
- Quarterly probability audits. Every quarter, recalculate stage probabilities based on actual win rates. Navigate to Reports, filter by closed opportunities, update stage probability percentages based on real performance data.
Common Questions
How often should I update forecasts?
Update weekly at minimum. Daily updates provide most accurate view but require strong data hygiene. Navigate to Reports > Opportunities and refresh data before planning meetings.
What if we have multiple pipelines?
Calculate forecasts separately for each pipeline, then sum totals for organizational forecast. Different pipelines often have different win rates and cycle times. Go to Reports, filter by pipeline, build pipeline-specific models.
Should abandoned opportunities be included in forecasts?
No. Abandoned opportunities should not contribute to revenue forecasts. Only Open and Won opportunities matter. Navigate to Opportunities, filter out Abandoned status, exclude from calculations.
What is a good forecast accuracy target?
Mature sales organizations achieve 85-95% forecast accuracy. Teams new to forecasting should target 70-80% initially and improve over 6-12 months. Track accuracy in Reports and adjust probabilities quarterly.
Can I forecast by product or service line?
Yes. Create custom fields to tag opportunities by product. Navigate to Settings > Custom Fields > Opportunities, add product dropdown, filter reports by product to build segmented forecasts.