Turn raw opportunities into clear conversion insights fast. See trends, gaps, and revenue potential instantly. Plan smarter campaigns with metrics your team can trust.
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Use this sample to test exports or compare your campaign performance.
| Period | Total Opps | Converted | Conversion Rate | Avg Deal | Revenue | Cost | ROI |
|---|---|---|---|---|---|---|---|
| Jan | 180 | 28 | 15.56% | $1,100 | $30,800 | $18,000 | 71.11% |
| Feb | 210 | 34 | 16.19% | $1,250 | $42,500 | $20,500 | 107.32% |
| Mar | 235 | 39 | 16.60% | $1,300 | $50,700 | $23,000 | 120.43% |
| Apr | 260 | 45 | 17.31% | $1,380 | $62,100 | $25,200 | 146.43% |
| May | 275 | 49 | 17.82% | $1,420 | $69,580 | $27,400 | 153.94% |
| Jun | 300 | 56 | 18.67% | $1,500 | $84,000 | $30,000 | 180.00% |
| Metric | Formula | Purpose |
|---|---|---|
| Opportunity Conversion Rate | (Converted Opportunities ÷ Total Opportunities) × 100 | Measures how efficiently opportunities become wins. |
| Loss Rate | 100 − Conversion Rate | Shows the share of opportunities not converted. |
| Revenue | Converted Opportunities × Average Deal Value | Estimates realized revenue from won opportunities. |
| Total Cost | Marketing Spend + Sales Cost | Combines promotion and sales execution costs. |
| ROI | ((Revenue − Total Cost) ÷ Total Cost) × 100 | Quantifies profitability of the conversion effort. |
| Pipeline Velocity | (Total Opportunities × Conversion Rate × Avg Deal Value) ÷ Sales Cycle Days | Estimates revenue movement through pipeline per day. |
| Forecast Conversions | Forecast Opportunities × Conversion Rate × Confidence Factor | Projects likely conversions for the next period. |
| Scenario Revenue | Forecast Conversions (uplifted rate) × Average Deal Value | Tests upside from improving conversion performance. |
Conversion rate and confidence factor are converted to decimals in calculations (for example, 22% becomes 0.22).
Opportunity conversion analysis becomes reliable only when opportunity stages are standardized. Teams should align qualification rules, entry criteria, and close definitions across marketing and sales. Inconsistent stage naming inflates totals and suppresses reported conversion rates. This calculator helps expose that problem by comparing total opportunities, converted opportunities, and benchmark rates together. When definitions improve, reported performance becomes stable, and month-to-month comparisons support better decisions across campaigns, channels, regions, and teams.
Conversion rate alone can mislead if acquisition cost is ignored. A campaign converting at 20% may underperform a 16% campaign when marketing spend, sales cost, and average deal value are considered together. The calculator combines these variables to estimate total cost, cost per opportunity, cost per conversion, and ROI. This lets marketing leaders reallocate budget toward channels producing profitable conversions, not simply higher lead volume, during weekly and quarterly planning reviews cycles.
Many teams track wins but miss timing efficiency. Pipeline velocity estimates daily revenue movement by combining opportunity volume, conversion rate, average deal value, and sales cycle days. If conversion improves while cycle length grows, cash generation may still slow. Using this calculator, managers can monitor both outcomes simultaneously and identify bottlenecks earlier. Pair velocity trends with rep capacity metrics to decide whether the next investment should target enablement, automation, or qualification rules.
Professional marketing planning depends on target gaps and benchmark comparisons, not isolated percentages. This calculator highlights target conversions, conversion gaps, and benchmark gap in percentage points, allowing faster performance reviews. Forecast fields extend that analysis by applying current conversion performance to future opportunity volume and a confidence factor. Teams can then estimate likely conversions and revenue before launch, which improves campaign pacing, quarterly planning, leadership alignment, executive communication, and budget accuracy overall.
The scenario uplift function translates optimization ideas into financial estimates. Instead of saying conversion may improve, teams can test a specific uplift percentage and view projected conversions, projected revenue, and incremental revenue immediately. This is useful for prioritizing landing page redesigns, scoring improvements, nurture sequences, and sales handoff changes. When incremental revenue exceeds estimated implementation cost, the initiative can be prioritized confidently with measurable expectations, clearer accountability, and stronger stakeholder support internally.
Use opportunities that have reached your agreed sales-ready stage. Do not mix raw inquiries with qualified opportunities, or your conversion rate and cost metrics will be distorted.
Yes. Enter values for a week, month, quarter, or campaign flight. Keep the period label and period days aligned so daily metrics and comparisons remain accurate.
Include direct marketing spend and sales execution costs related to the same period. Exclude unrelated overhead unless you consistently allocate it across all campaigns.
Forecast confidence reduces projected conversions by applying a realism factor. For example, 80% confidence assumes only eighty percent of forecasted opportunities perform like your historical conversion rate.
Not always. A higher conversion rate can still produce weaker ROI if deal value declines or total costs rise. Review conversion, revenue, and ROI together.
Use the uplift field for controlled what-if planning. Start with small improvements, such as 3% to 10%, then compare incremental revenue against implementation cost and effort.
Important Note: All the Calculators listed in this site are for educational purpose only and we do not guarentee the accuracy of results. Please do consult with other sources as well.