Strategy
Retention Analysis
A practical product method for understanding stickiness, drop-off, and long-term user value.
How to use retention analysis to measure return behaviour, identify drop-off points, and improve long-term engagement.
Quick take
If users are not coming back, nothing else matters. Retention analysis shows you where and why they drop off over time.
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What it is
glossaryRetentionRetention measures how well a product keeps users over time by continuing to deliver value. It is a key indicator of product success and long-term viability.Open glossary term analysis is a quantitative UX and product method used to measure how many users return to a product over a defined period.
It tracks repeat usage after a first glossaryInteractionInteraction refers to any action a user takes within a product and how the system responds. It includes clicks, taps, gestures, and inputs that drive the user experience.Open glossary term, showing whether users continue to find value or drop away.
Unlike guideCohort AnalysisGrouping users by shared characteristics to understand retention, engagement, and behaviour over time.Open guide, which compares groups, glossaryRetentionRetention measures how well a product keeps users over time by continuing to deliver value. It is a key indicator of product success and long-term viability.Open glossary term analysis focuses specifically on return glossaryBehaviourBehaviour refers to how users interact with a system, including actions, patterns, and responses.Open glossary term and long-term engagement.
The goal is to understand stickiness, identify glossaryDrop-offDrop-off refers to users leaving a journey before completing a desired action or reaching the next step.Open glossary term over time, and improve ongoing user value.
Retention analysis is useful because it tells you whether the product is valuable enough for users to come back.
When to use it
Use this method when long-term glossaryEngagementEngagement refers to how users interact with a product, content, or experience, including actions like clicks, time spent, and interactions.Open glossary term matters.
It is most useful when:
It is less useful when:
Retention analysis is often used alongside cohort analysis and feature usage analysis to understand both behaviour and value over time.
Key takeaway
Use retention analysis when the real question is whether users are finding enough ongoing value to come back.
How to run it
Set up properly.
Before you start, be clear on what defines a returning user, what time intervals you will measure, and what actions indicate meaningful use.
Ensure tracking reflects real glossaryEngagementEngagement refers to how users interact with a product, content, or experience, including actions like clicks, time spent, and interactions.Open glossary term, not just visits.
Run the method.
glossaryRetentionRetention measures how well a product keeps users over time by continuing to deliver value. It is a key indicator of product success and long-term viability.Open glossary term analysis is structured and time-based.
Track users from their first glossaryInteractionInteraction refers to any action a user takes within a product and how the system responds. It includes clicks, taps, gestures, and inputs that drive the user experience.Open glossary term. Measure how many return at set intervals, such as day 1, day 7, or day 30. Analyse glossaryRetention RateRetention rate is the percentage of users who continue to use a product or return over a given period of time.Open glossary term over time. Segment glossaryDataData is raw information collected and stored for analysis, processing, or decision-making.Open glossary term where relevant, such as user type or acquisition channel. Compare retention before and after changes.
Focus on glossaryPatternA reusable solution to a common design problem.Open glossary term rather than individual users.
Capture and make sense of it.
The value comes from understanding when and why users glossaryDrop-offDrop-off refers to users leaving a journey before completing a desired action or reaching the next step.Open glossary term.
Look across glossaryDataData is raw information collected and stored for analysis, processing, or decision-making.Open glossary term to identify glossaryRetentionRetention measures how well a product keeps users over time by continuing to deliver value. It is a key indicator of product success and long-term viability.Open glossary term curves over time, key glossaryDrop-offDrop-off refers to users leaving a journey before completing a desired action or reaching the next step.Open glossary term points, differences between user segments, and the impact of product or design changes.
Use this to guide improvements in onboarding and ongoing value.
What to look for
Focus on:
Where it goes wrong
Most issues come from:
If you do not measure the right glossaryBehaviourBehaviour refers to how users interact with a system, including actions, patterns, and responses.Open glossary term, glossaryRetentionRetention measures how well a product keeps users over time by continuing to deliver value. It is a key indicator of product success and long-term viability.Open glossary term glossaryDataData is raw information collected and stored for analysis, processing, or decision-making.Open glossary term becomes misleading.
What you get from it
Done properly, this method gives you:
Key takeaway
It helps you build products that users actually come back to.
Get in touch
If this sounds like something you need, we can help you understand why users are not coming back and what to do about it.
No guesswork. No assumptions. Just clear glossaryInsightAn insight is a meaningful understanding that explains why something is happening and what it means.Open glossary term you can act on.
FAQ
Common questions
A few practical answers to the questions that usually come up around this method.
What is retention analysis in UX?
glossaryRetentionRetention measures how well a product keeps users over time by continuing to deliver value. It is a key indicator of product success and long-term viability.Open glossary term analysis is a method used to measure how many users return to a product over time.
When should you use retention analysis?
Use it when analysing glossaryEngagementEngagement refers to how users interact with a product, content, or experience, including actions like clicks, time spent, and interactions.Open glossary term, onboarding, or long-term product value.
What is a good retention rate?
It depends on the product and industry, but strong glossaryRetentionRetention measures how well a product keeps users over time by continuing to deliver value. It is a key indicator of product success and long-term viability.Open glossary term indicates users find ongoing value.
How do you improve retention?
By improving onboarding, delivering value quickly, and removing glossaryFrictionFriction refers to anything that slows users down or makes it harder for them to complete a task. It can be caused by poor design, unnecessary steps, unclear messaging, or technical issues.Open glossary term in key glossaryPain PointA specific problem or frustration users experience when trying to complete a task.Open glossary term.
What tools are used for retention analysis?
Tools such as Google Analytics, Mixpanel, Amplitude, and Tableau are commonly used.