Group name
Website heatmap
Webflow Optimize
Webflow A/B testing
Voice of customer
User journey map
User behavior analytics
Usability testing
Trust signals
Tree testing
Time on page
Survey design
Statistical significance
Split URL testing
Split testing
Social proof
Session replay
Session replay tools
Session recording
Sequential testing
Segmentation analysis
Scroll map
Scroll depth
Scarcity marketing
Revenue per visitor
Rage click
PIE framework
Novelty effect
Multivariate testing
Mobile conversion rate
Microsoft Clarity
Micro conversion
Message match
Macro conversion
LIFT model
Landing page optimization
Landing page conversion rate
Information scent
ICE score
Hotjar
Holdout group
Hick's law
Heatmap tools
Guardrail metrics
Goal completion
Funnel analysis
Form analytics
Form abandonment
Five second test
Fitts's law
Exit rate
Exit intent popup
Event tracking
Drop-off rate
Dead click
CRO tools
CRO audit
Choosing CRO tools
Conversion funnel
Cohort analysis
Cognitive load
Click map
Checkout optimization
Cart abandonment
Bounce rate
Bayesian A/B testing
Average order value
Attention map
Anchoring bias
Above the fold
A/B testing tools
What is exit rate?
Exit rate is the percentage of all views of a page that were the last page in the session. It counts every session that ended on the page, whether the visitor arrived there directly or navigated to it from somewhere else on the site.
How does exit rate differ from bounce rate?
They count the same event against different denominators, and the denominator is the whole difference.
A worked example. A page gets 100 views. 40 of those views started the session, and 10 of those 40 left without further interaction. Another 30 views came from elsewhere on the site and ended there. Bounce rate is 10 of 40, or 25%. Exit rate is 40 of 100, or 40%.
Bounce rate asks whether the page holds people who land on it cold. Exit rate asks whether the page is where journeys end, whatever route brought them.
Which exit rates are worth investigating?
Expected high exit rates, which need no action:
- Confirmation and thank-you pages, where exiting means success
- Contact pages, where the visitor took the detail off-site
- The final page of a documentation path
Exit rates worth investigating:
- Mid-funnel pages. A pricing page with a high exit rate is losing people at the moment of evaluation.
- Any step in a checkout or multi-page form. Every exit here is a lost conversion.
- A page whose exit rate rose after a change. The most reliable signal in the metric.
- Category or listing pages. These exist to route people onward, so exits mean the routing failed.
Key takeaway: exit rate matters where the page's job is to pass the visitor along.
How do you diagnose a bad exit rate?
Exit rate identifies the page. It says nothing about why, so three follow-ups:
- Scroll map. Did they reach the element that was supposed to move them on?
- Click map. Did they click something that took them off-site, or nothing at all?
- Filtered session recordings. Filter to sessions ending on this page and watch fifteen. This is where the reason lives.
Check the obvious mechanical causes first: broken outbound links, an error state, a form that fails silently, or a page that loads slowly enough that people abandon.
Related terms
Bounce rate · Drop-off rate · Conversion funnel · Session recording · Scroll map
Service: Conversion Rate Optimization.
FAQ
What is a good exit rate?
The figure only means something against the page's role, so compare a page to the other pages that do the same job on your site: category pages against category pages, checkout steps against checkout steps. Thank-you pages belong in no comparison, since a high exit rate there is the point.
Is a high exit rate always bad?
No. On pages where the visitor's goal is completed, a high exit rate means the page worked. It becomes a problem on pages whose function is to move someone to a next step.
Can a visitor exit without leaving the site?
Yes. A session ends after a period of inactivity, 30 minutes by default in GA4, so someone who leaves a tab open over lunch and then carries on browsing registers an exit on the page they paused at and starts a fresh session afterward. Pages people read slowly collect these phantom exits.