Conversion Funnel

You might say

Turn visits, sign-up starts, profile submissions, and completions into a funnel to find the largest drop-off.

A sequence of user counts and conversion rates that locates drop-off from entry to a target outcomeOut of 1,000 visitors, 620 may start sign-up, 310 submit details, and 280 finish. A funnel shows how many remain at each step. Mismatched event definitions, time windows, or user scopes can make the shape misleading.

Know first

User Flow

Funnel AnalysisConversion Funnel Analysis

Find the largest loss as sign-up counts narrow

Example data · one user scope · 7 days

Visit1,000100%

Start62062%

Submit31050%

Complete28090%

How a conversion funnel provides reliable clues

Define steps and the success outcome: Each step needs a real trackable action and an order that matches the question.

Use one user and time definition: Deduplication, entry rules, and observation windows change the result and must remain consistent.

Location is not cause: A funnel shows where to investigate; interface, rule, technical, and motivation causes still need evidence.

Quick checkChoose the best answer

A sign-up funnel shows 1,000 visits, 620 starts, 310 profile submissions, and 280 completions. What should the team investigate first?

Investigate start → profile submission first, while verifying that both events use matching definitions and trackingLook only at the 280 completions and ignore intermediate stepsAssume the form is too long and delete fields without checking events or user feedback

You can say this to an AI Agent

Build a sign-up conversion funnel from this real event data: visit, start sign-up, submit profile, and complete sign-up. First verify each event definition, deduplication method, time window, and user scope. Then calculate counts, step conversion, and drop-off. Identify the largest loss, but keep possible causes as questions to validate. Do not invent user data or directly remove interface content.

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