Growth calculator
Lead Funnel Leak Calculator
Find the funnel transition with the largest modeled recoverable revenue, not just the largest raw drop-off.
Results
Results are deterministic scenario outputs, not guarantees.
Enter values and calculate to see the summary, supporting metrics, warnings, and interpretation.
Interpretation
Deterministic interpretation rules will explain what the modeled result means once a calculation is available.
Detailed breakdown
Intermediate calculation rows will appear here after calculation.
Formula
Stage conversion rate
stageConversionRate = nextStageCount / currentStageCount
Drop-off and lost count
stageDropoffRate = 1 - stageConversionRate; lostEntities = currentStageCount - nextStageCount
Benchmark recovery
recoverableNextStageEntities = max(0, currentStageCount × benchmarkConversionRate - nextStageCount)
Target improvement
improvedStageRate = min(100%, stageConversionRate × (1 + targetImprovementRate))
Recoverable revenue
recoverableRevenue = recoverableNextStageEntities × downstreamCustomerRate × averageCustomerValue
Assumptions
- Largest leak is determined by estimated downstream business impact, not by raw lost count alone.
- When a benchmark is entered for a transition, it is used for that transition's recoverable entity estimate.
- When no benchmark is entered, the target improvement rate models a relative improvement to the observed transition rate.
- This is deterministic scenario math and does not forecast that a benchmark or improvement will be achieved.
Worked example
Example: visitors to customers
For a 10,000 visitor funnel with 5% visitor-to-lead conversion, 18 customers, and $2,500.00 customer value, the calculator ranks funnel leaks by recoverable revenue after downstream conversion is considered.
FAQ
Why is the largest raw drop-off not always the largest leak?
A large early-stage drop-off may have less revenue impact than a later-stage issue if downstream conversion and customer value make the later stage more recoverable.
What happens if I leave benchmark rates at 0%?
The calculator uses the target improvement rate to model a relative improvement to each observed stage conversion rate.
How are non-monotonic stages handled?
They are flagged because later-stage counts normally should not exceed earlier-stage counts unless your stage definitions intentionally allow it.
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Want help interpreting the model?
Use this calculator as a deterministic planning tool, then talk with Propel Collective about which assumptions are worth validating first.