Conversion Funnel Calculator

This calculator shows you exactly where people drop out of any multi-stage process, whether that is a sales pipeline, a marketing campaign, or an e-commerce checkout, so you know precisely which step to fix first. You enter a name and a visitor, lead, or customer count for each stage of your funnel, starting with two stages and adding up to eight (the defaults use a typical SaaS journey of Visitors, Sign-ups, Trials, and Customers). As you type, the calculator instantly returns your top-of-funnel and bottom-of-funnel counts, your overall conversion rate from first stage to last, a bar-style funnel visualisation showing the relative size of each stage, and a stage-by-stage table with the step conversion rate, drop-off count, drop-off percentage, and cumulative conversion rate for every transition. A verdict below the table flags the stage losing the most people overall, usually the highest-priority place to test and improve, even when its percentage drop-off is not the worst on paper. Use it to sanity-check a funnel before launch, to compare performance across campaigns or channels, or to build the case for fixing a specific step such as checkout friction or a weak call to action. Because conversion benchmarks vary hugely by industry, channel, and traffic quality, treat the results as a guide to relative performance and priority rather than a fixed target to hit.

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Standard formula  Step CVR = next stage / current stage x 100. Overall CVR = final stage / top stage x 100.

Funnel Stages

Name each stage and enter the number of people (or sessions, leads, etc.) who reached it. Add up to 8 stages.

Funnel Summary

Top of Funnel
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Visitors
Overall CVR
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Top to bottom
Bottom of Funnel
-
Customers

Funnel Visualisation

Stage-by-Stage Breakdown

Stage Count Step CVR Drop-off Count Drop-off % Cumulative CVR
Result: Enter your funnel data above.

How the Conversion Funnel Calculator Works

A conversion funnel describes the journey a person takes from first contact with your product or service through to the desired end action (a purchase, sign-up, or enquiry). At each stage, some people drop off and do not continue. The calculator uses two formulas:

Worked Example

Using the calculator defaults (Visitors: 10,000, Sign-ups: 2,500, Trials: 800, Customers: 120):

StageCountStep CVRDrop-offCumulative CVR
Visitors10,000--100%
Sign-ups2,50025.00%7,50025.00%
Trials80032.00%1,7008.00%
Customers12015.00%6801.20%

Overall funnel CVR = 120 / 10,000 x 100 = 1.20%. The biggest drop-off by volume occurs between Visitors and Sign-ups (7,500 people, a 75% drop-off rate), making that the highest-priority stage to optimise given the number of people affected.

What Counts as a Good Conversion Rate?

Conversion rates vary enormously by industry, channel, and funnel type. There is no single benchmark that applies universally. As a rough guide:

Rather than comparing to industry averages, focus on improving your own funnel incrementally. A 10% improvement in each of three funnel stages compounds into a 33% lift in overall conversion.

Identifying Where to Focus Optimisation

The most valuable stage to optimise is not always the one with the lowest step CVR. You should also consider the volume of people affected. Use the drop-off count from this calculator to prioritise: a stage with 5,000 people dropping off at 50% CVR represents more opportunity than a stage with 100 people dropping off at 20% CVR, even though the second CVR is lower.

Common causes of high drop-off at specific stages include: slow page load times, unclear calls to action, unexpected pricing or friction in the checkout, requiring account creation before purchase, and poor mobile experience.

Related Calculators

Method: Step conversion rate = (Stage N+1 / Stage N) x 100. Overall CVR = (Final stage / Top stage) x 100. Drop-off = Stage N minus Stage N+1. Cumulative CVR = Stage N / Top stage x 100. All standard digital marketing funnel analysis formulas.

This calculator provides funnel analysis based on the numbers you enter. Conversion rate benchmarks vary by industry, channel, device, and audience. Use the results to identify relative drop-off points and prioritise testing rather than as absolute performance targets.