CRO

Abandonment Analysis

A practical UX and analytics method for identifying where users leave key journeys before completing the intended goal.

How to use abandonment analysis to pinpoint drop-off points, uncover friction, and improve completion rates.

15 November 20134 min read

Quick take

If users are dropping off, don’t guess why. Analyse where and when they abandon.

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What it is

Abandonment analysis is a UX and analytics method used to identify where users leave a before completing a goal.

It focuses on points within such as sign-up, checkout, or application .

By analysing , it reveals where users stop, hesitate, or fail to continue.

This can include reviewing , , and interaction patterns.

The focus is on identifying and understanding why users do not complete key actions.

The goal is to reduce and improve completion rates.

Abandonment analysis is most useful when teams need clear evidence of where journeys are failing before deciding what to fix.

When to use it

Use this method when users are not completing .

It is most useful when:

you have clear conversion or completion goals
users are dropping off at specific stages
you want to improve funnels or flows
you need to prioritise fixes
you have behavioural data available

It is less useful when:

tracking data is incomplete
journeys are too simple or short
traffic is too low for meaningful analysis
Abandonment analysis is often used in CRO and UX optimisation.

Key takeaway

Use abandonment analysis when you need to prioritise fixes based on where users actually stop, not where teams assume problems are.

How to run it

Set up properly.

Before you start, be clear on the or you are analysing, the key steps involved, and what completion looks like.

Ensure tracking is accurate.

Run the method.

Abandonment analysis is -driven.

Map the or . Identify points between steps. Analyse where users leave. Review supporting data such as session replays and errors. Compare different user segments.

Focus on where and when users abandon.

Capture and make sense of it.

The value comes from identifying .

After analysis: prioritise high-impact points, identify potential causes, validate findings with other methods, and define improvements.

Use this to reduce abandonment.

What to look for

Focus on:

Drop-off points
Where users leave the journey
Patterns
Consistent abandonment behaviour
Segments
Differences between user groups
Friction
Issues causing users to stop
Impact
Which drop-offs matter most

Where it goes wrong

Most issues come from:

If you don’t understand why, you can’t fix it.

poor tracking or data quality
focusing only on numbers without context
ignoring qualitative insights
not prioritising findings
failing to act on results

What you get from it

Done properly, this method gives you:

clear visibility of where users drop off
prioritised areas for improvement
insight into friction and barriers
improved completion and conversion rates

Key takeaway

It helps you fix what’s stopping users.

Get in touch

If this sounds like something you need, we can help you analyse where users are dropping off and fix the issues that are costing you .

No guesswork. No assumptions. Just clear into what’s going wrong.

FAQ

Common questions

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

What is abandonment analysis in UX?

It is a method for identifying where users leave a before completing it.

When should you use abandonment analysis?

Use it when users are dropping off in key .

What can you analyse?

, forms, checkout , and multi-step .

How do you find the cause?

Combine analytics with qualitative methods.

Does abandonment analysis improve UX?

Yes. It helps remove and improve completion rates.

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Will Parkhouse

Senior Content Designer

01/20