Build conversion funnels with custom stages. Enter visitor counts per stage and visualize drop-off rates with an interactive funnel chart.
Funnel Visualization Builder turns a list of stages and the visitor count at each stage into a funnel chart. You name the stages (for example, landing page, sign up, purchase), enter how many visitors reached each one, and the chart draws a bar per stage scaled to its count, with the percentage lost between every pair of adjacent stages. The most common mistake is entering percentages where counts belong. The most common misreading: a steep drop-off rate is not automatically the biggest leak, because every rate is relative to the stage above it, and the actual loss in people can be small when few visitors reach that stage.
A concrete input and expected output from the current implementation.
Input
Stages and visitor counts: Homepage 1000, Sign up 400, Purchase 100
Expected output
Three bars with Homepage at full width (1000 visitors), Sign up at 40% width (400), Purchase at 10% width (100). Drop-off labels between bars: Homepage to Sign up 60%; Sign up to Purchase 75%.
Drop-off is the share of the stage above that does not continue: 600 of 1000 (60%) from the first pair, then 300 of 400 (75%) into the final stage. Each bar's width follows its share of the largest count: 400 of 1000 is 40%, and 100 of 1000 is 10%.
Every entry is a visitor count for one stage, listed in funnel order. For each adjacent pair the tool computes the drop-off as (count of the stage above - count of this stage) divided by the count of the stage above, and it derives every percentage from these counts rather than accepting rates as input.
Each stage bar is drawn at a width proportional to its count relative to the widest stage, so the shape of the chart shows where volume disappears at a glance. The drop-off labels sit between the bars, and each stage keeps its name and count visible so the chart can be read without referring back to the input.
Between two adjacent stages it is the visitors who did not continue divided by the visitors at the stage above: (previous count - current count) / previous count. So a stage that 300 of 400 visitors leave shows 75%, while a stage that 600 of 1000 leave shows 60%. The rate always refers to the stage above it, never to the first stage.
No. The tool works only from the counts you provide and reports what those numbers imply. It cannot attribute users, follow paths, or explain reasons for leaving. For trustworthy results, enter counts from the same analytics period and population, since mixing sources produces a funnel that never happened.
The example and behavioral notes were checked against the browser implementation. Standards and primary references below define the relevant format, formula, or platform behavior.
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