Group name

Website heatmap

Behavior analytics

Voice of customer

Research methods

User journey map

Research methods

User behavior analytics

Behavior analytics

Usability testing

Research methods

Trust signals

Page levers

Tree testing

Research methods

Time on page

Metrics and funnel

Survey design

Research methods

Social proof

Page levers

Session replay

Behavior analytics

Session recording

Behavior analytics

Segmentation analysis

Metrics and funnel

Scroll map

Behavior analytics

Scroll depth

Behavior analytics

Revenue per visitor

Metrics and funnel

Rage click

Behavior analytics

PIE framework

Research methods

Mobile conversion rate

Metrics and funnel

Micro conversion

Metrics and funnel

Message match

Page levers

Macro conversion

Metrics and funnel

LIFT model

Research methods

ICE score

Research methods

Hotjar

Tools

Hick's law

Page levers

Goal completion

Metrics and funnel

Funnel analysis

Metrics and funnel

Form analytics

Behavior analytics

Form abandonment

Behavior analytics

Five second test

Research methods

Fitts's law

Page levers

Exit rate

Metrics and funnel

Event tracking

Metrics and funnel

Drop-off rate

Metrics and funnel

Dead click

Behavior analytics

CRO audit

Research methods

Conversion funnel

Metrics and funnel

Cohort analysis

Metrics and funnel

Cognitive load

Page levers

Click map

Behavior analytics

Cart abandonment

Metrics and funnel

Bounce rate

Metrics and funnel

Average order value

Metrics and funnel

Attention map

Behavior analytics

Anchoring bias

Page levers

Above the fold

Page levers
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Funnel analysis is the practice of measuring how many visitors pass from each step of a conversion sequence to the next, in order to locate where the largest recoverable losses occur. It converts a single conversion rate into a diagnosis of which specific step is responsible.

Table of contents

  • How do you read a funnel report?
  • Why does segmentation change the answer?
  • How does funnel analysis connect to the rest of CRO?
  • How do you run funnel analysis on a Webflow site?

How do you read a funnel report?

Three numbers per step, and teams routinely read only the first.

Step conversion rate. The share continuing to the next step. Shows where the friction is.

Absolute count lost. The number of people. Shows the size of the prize.

Value of those lost. Count multiplied by the expected value of someone at that stage. Shows what to work on.

The third number gets skipped as unknowable, and it is arithmetic. Take the historic end-to-end conversion rate of everyone who reached that step, multiply by average deal value, and you have a per-visitor figure to rank steps against. Rate finds the friction. Value decides which friction is worth a sprint.

Why does segmentation change the answer?

Because an aggregate funnel averages populations that behave differently, and the average frequently matches none of them.

Segments that reliably change the picture:

  • Device. Mobile funnels usually leak hardest at forms and checkouts.
  • Traffic source. Paid traffic arriving on a specific promise behaves differently from organic traffic arriving on a question.
  • New versus returning. Returning visitors skip early stages, which distorts blended rates.
  • Geography. Where language, currency, or a regional compliance step changes what the visitor is shown.

A funnel showing an even 40% drop at every step often resolves, once segmented, into one segment failing catastrophically at one step while everyone else passes through.

How does funnel analysis connect to the rest of CRO?

Funnel analysis answers where. It cannot answer why, and shipping a fix straight from a funnel report is guessing with extra steps.

The working chain:

  1. Funnel analysis identifies the costly step.
  2. Heatmaps and form analytics localize the problem within that step.
  3. Session recordings explain the behavior.
  4. A hypothesis states the change and the expected effect.
  5. An A/B test measures whether the change works.

How do you run funnel analysis on a Webflow site?

Webflow's built-in analytics report page and session metrics rather than step sequences, so the funnel itself is built in GA4, under Explore, Funnel exploration.

Two choices there decide whether the report is honest.

Open or closed. A closed funnel counts only sessions that entered at step one, which discards every paid visitor who landed straight on pricing. An open funnel counts them from wherever they joined. Closed is the default, and it is the wrong default whenever paid or referral traffic enters part way.

What defines a step. Any step that is not its own URL has to be a custom event, or it collapses into the step before it and the report shows a clean funnel that is missing a stage.

Related terms

Conversion funnel · Drop-off rate · Segmentation analysis · Cohort analysis · Form abandonment

Service: Conversion Rate Optimization.

FAQ

What is the difference between funnel analysis and a conversion funnel?

The conversion funnel is the model, meaning the defined sequence of steps. Funnel analysis is the practice of measuring progression through it and interpreting the result.

How much traffic does funnel analysis need?

Enough that the final step still carries a readable count. A funnel ending in five conversions a month cannot support segmentation, because each segment resolves to one or two people.

Should you fix the biggest drop first?

Usually not. The largest percentage drop sits at the top of the funnel, among visitors who were never going to buy. Rank steps by the count lost multiplied by what a visitor at that step is worth.

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