Inputs used
- Monthly visits
- Visit-to-lead rate
- Lead-to-customer close rate
- Average revenue per customer
- Marketing cost
Free growth tool / Funnel economics
The calculator makes funnel assumptions explicit from visit to lead to customer. It is most useful when platform events are reconciled with CRM, sales and finance definitions.
Use the calculatorFree · No account · Inputs stay in your browser

Interactive tool
Enter non-sensitive planning values. The output updates in your browser and is not sent to GrowthLabs.
Simplified linear scenario. Revenue is not profit.
Formula and inputs
Leads = visits × lead rate. Customers = leads × close rate. Revenue = customers × average customer revenue. CAC = marketing cost ÷ customers.
Decision context
Use this free planning model to make assumptions visible, compare scenarios and identify which input deserves validation before budget, campaign or conversion decisions are made.
Model
Use recent, relevant business or platform data where possible. Label estimates clearly so the result is not mistaken for measured performance.
Compare
Compare a baseline with one or two realistic scenarios. This makes the commercial effect of each rate, cost or volume assumption easier to understand.
Validate
Use Google Ads, Meta Ads, GA4, CRM, sales or finance data to test whether the scenario reflects qualified enquiries, customers and actual economics.
How to use the output
Keep visits, leads, customers and spend aligned to a comparable cohort or period.
Document the point at which an enquiry becomes a useful lead.
Validate customer and revenue assumptions outside ad-platform reporting.
Change one rate at a time to see which assumption drives the scenario.
Tool questions
It is the proportion moving between defined stages, such as visits to leads or qualified leads to customers.
Customer acquisition cost is included acquisition spend divided by acquired customers, with the cost scope stated clearly.
No. Profitability also depends on margin, fulfilment, overhead, refunds and customer lifetime behaviour.
Stage rates help locate where a system loses qualified demand instead of blaming one channel for the entire journey.
Continue with context