Marketing Funnel Calculator

Funnel Drop-off Calculator

Measure conversion rate and drop-off between each stage of your marketing or sales funnel.

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Build your funnel

Enter each funnel stage in order from largest audience to final conversion.

StageVolumeRemove

How funnel drop-off is calculated

Stage Conversion RateNext Stage ÷ Previous Stage × 100
Stage Drop-off100% − Stage Conversion Rate
Overall Conversion RateFinal Stage ÷ First Stage × 100

What should I look for?

Look for stages with unusually high drop-off relative to the rest of the funnel. These can indicate issues with traffic quality, landing pages, lead qualification, checkout processes or sales follow-up.

Important:A high drop-off is not automatically bad. Different funnel stages have naturally different conversion expectations depending on traffic source, business model and qualification criteria.

Diagnosing a marketing funnel

The biggest percentage drop is not automatically the highest-priority problem.

Keep stage definitions stable

Funnel analysis is only useful when each stage means the same thing over time. A “lead” that changes from every form submission to only qualified enquiries can make conversion rates move even if campaign performance did not.

Look at volume and value together

A stage can have a high percentage drop but affect only a small number of users. Prioritize the stage where the lost volume, commercial value and ability to improve the experience are all meaningful.

Example: where should the team investigate first?

Suppose 10,000 visitors produce 500 leads, 200 qualified leads and 80 customers. Visitor-to-lead conversion is 5%, lead-to-qualified is 40%, and qualified-to-customer is 40%. If visitor volume is large, even a small improvement in the first stage can create more downstream opportunity than a dramatic percentage change in a tiny stage.

Common funnel-analysis traps

  • Comparing cohorts with different maturation windows or sales-cycle lag.
  • Mixing paid, organic and existing-customer traffic without knowing the scope.
  • Changing stage definitions between reports.
  • Assuming a funnel leak is caused by advertising when the issue may be sales follow-up, offer or UX.