CRO

Funnel Analysis

A practical CRO method for identifying where users fail to progress through key journeys.

How to use funnel analysis to spot drop-off points, understand conversion performance, and prioritise optimisation work.

29 May 20244 min read

Quick take

If you want to understand where users drop off and why conversions are not happening, start with funnel analysis.

What it is

analysis is a quantitative UX and CRO method used to track how users move through a defined and where they .

It breaks a into steps, such as landing, browsing, adding to basket, and completing a purchase, and measures how many users progress between each stage.

Unlike , analysis focuses on at scale using analytics data. It shows what is happening, but not why.

The goal is to identify points, , and opportunities to improve .

Funnel analysis is useful for showing where users are falling out of a journey, but it needs other methods to explain why.

When to use it

Use this method when you need to understand across a .

It is most useful when:

You are analysing conversion rates or drop-off points
You need to identify where users are failing to progress
You want to prioritise optimisation efforts
You are working on checkout, sign-up, or key flows
You have analytics data available

It is less useful when:

You need to understand user motivation or reasoning
Data is limited or unreliable
Journeys are not clearly defined
Funnel analysis is often used alongside usability testing and user interviews to explain why issues occur.

Key takeaway

Use funnel analysis when you need a clear view of where performance breaks down across a journey.

How to run it

Set up properly.

Before you start, be clear on the you want to analyse, the key steps in that journey, and how those steps are tracked in analytics.

Make sure your tracking is accurate. Poor to poor decisions.

Run the method.

analysis is -driven and structured.

Define the steps clearly. Measure how many users reach each step. Calculate between steps. Identify where the largest occur. Segment data where relevant, such as device, channel, or user type.

Focus on identifying rather than isolated numbers.

Capture and make sense of it.

The value comes from identifying where and how users .

Look across to identify major points, trends across segments, differences between devices or , and changes over time.

Use this to prioritise where to investigate further.

What to look for

Focus on:

Drop-off points
Where users fail to continue
Conversion rates
How effectively users move between steps
Segmentation
Differences across user types, devices, or channels
Trends
Changes over time or after updates
Anomalies
Unexpected spikes or drops in behaviour

Where it goes wrong

Most issues come from:

analysis shows what is happening, not why it is happening.

poor tracking or missing data
unclear or inconsistent funnel definitions
focusing on numbers without context
ignoring segmentation
assuming data explains behaviour

What you get from it

Done properly, this method gives you:

clear visibility of where users drop off
understanding of conversion performance
prioritisation of optimisation opportunities
evidence to guide further research

Key takeaway

It helps you focus on the areas that matter most.

Get in touch

If this sounds like something you need, we can help you identify where users are dropping off and how to improve .

No guesswork. No assumptions. Just clear you can act on.

FAQ

Common questions

A few practical answers to the questions that usually come up around this method.

What is funnel analysis in UX?

analysis is a method used to track how users move through a and where they .

When should you use funnel analysis?

Use it when analysing , , or across key flows.

What tools are used for funnel analysis?

Common tools include Google Analytics, Mixpanel, Amplitude, and other analytics .

What is the difference between funnel analysis and user research?

analysis shows what users do at scale, while explains why they behave that way.

Can funnel analysis improve conversion rates?

Yes. It helps identify where users so you can focus efforts effectively.

LET'S WORK TOGETHER

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UX, research and product leadership for teams tackling complex digital services. The work usually starts where things have become harder than they need to be: unclear journeys, inconsistent products, competing priorities, or teams trying to move forward without a clear direction. I help simplify the problem, shape the right next step, and turn complexity into something people can actually use.

Previous feedback

Will Parkhouse

Senior Content Designer

01/20