Calculate page exit rate from exits and pageviews, compare it with a target benchmark, and quantify how many visits ended on the page.
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Exit rate shows the share of pageviews that ended the visit on this page. It is not the same thing as bounce rate, which is only about sessions that started and ended on the same page.
Enter page exit data Add exits and pageviews to calculate the exit rate. Exits cannot exceed total pageviews.
An exit rate calculator helps you measure how often a page is the last page viewed in a visit and how that result compares with the benchmark you are trying to hit. This guide explains the exit-rate formula, why exit rate is not the same as bounce rate, and how to decide whether a page's exit behavior signals friction or simply the natural end of a journey.
What exit rate actually measures
Exit rate is the percentage of pageviews on a specific page that ended the visit on that page. If a page was viewed 5,000 times and 500 of those pageviews were the final page in the visit, the exit rate is 10%. That makes exit rate a page-level drop-off metric, not a sitewide engagement score.
The interpretation depends on page purpose. A high exit rate on a thank-you page, logout page, or completed checkout flow may be normal. A high exit rate on a pricing page, lead form, or product-detail page may point to friction, confusion, weak messaging, or a mismatch between traffic intent and page content.
How the exit-rate formula works
The formula is simple: exits divided by total pageviews, multiplied by 100. That gives the share of pageviews that ended the visit. The calculator also shows the pageviews that continued, which helps you understand the result in count terms rather than relying on the percentage alone.
Adding a benchmark can make the result easier to use in practice. If you know the exit rate you are targeting for a page type, you can compare the actual exits against the number of exits that benchmark would imply at the same pageview volume. That gives you a clearer sense of whether you are seeing a few extra exits or a meaningful drop-off problem.
Exit rate versus bounce rate
Exit rate and bounce rate are often confused because they both describe people leaving. Bounce rate applies only to visits that started and ended on the same page with no further engagement or page progression. Exit rate applies to any pageview that ended the visit, regardless of how many pages the visitor saw before reaching that page.
That means a page can have a high exit rate without being a bad landing page. For example, a shipping-information page late in a checkout sequence may not receive many landings at all, but it can still have an elevated exit rate if users abandon the session there. The troubleshooting questions are different from those you would ask on a true landing-page bounce problem.
Worked example: 500 exits from 5,000 pageviews
If a page logs 5,000 pageviews and 500 exits, the exit rate is 10% and 4,500 pageviews continued to another step. If the team entered a 20% benchmark, the same traffic volume would allow 1,000 exits before the page hit that threshold. In that example the page is performing better than benchmark, not worse.
That benchmark framing matters because raw percentages can look alarming without context. A 35% exit rate might be strong for a page that intentionally closes the user journey, while a 12% exit rate might still be disappointing on a key navigation or offer page if comparable pages on the site regularly hold attention longer.
What this calculator does not tell you
Exit rate does not explain why visitors left. It cannot tell you whether the cause was page speed, weak intent match, confusing UI, content quality, tracking issues, pricing shock, or simply task completion. You need page purpose, traffic source, funnel position, and qualitative evidence before you treat a high exit rate as a defect.
Different analytics platforms also define sessions, engaged visits, and user journeys differently, so the surrounding context may not line up perfectly across tools. This calculator is best used as a clean math check and a reporting aid, not as a substitute for a full analytics investigation.
Further reading
Adobe Analytics — Exits — Official Adobe Analytics metric reference for exits and the way the metric is counted.
Count — Exit rate — Metric reference summarizing the standard exit-rate formula and common usage in reporting.
Frequently asked questions
What is a good exit rate?
There is no universal good exit rate because the page's job matters more than the raw number. Pages that naturally end a journey often have high exit rates by design, while key navigational or conversion pages usually need closer scrutiny if the rate rises unexpectedly. A benchmark is most useful when it compares similar page types, traffic sources, and funnel positions rather than applying one generic threshold everywhere.
Is exit rate the same as bounce rate?
No. Bounce rate is about sessions that start and end on the same page without further progression or qualifying engagement. Exit rate is about pageviews that ended the visit, even if the visitor saw several pages first. A page can therefore have a low bounce rate and a high exit rate if many visitors leave there later in the journey.
Can exit rate be more than 100%?
In clean page-level math, no. Exits should not exceed total pageviews for the same page and period, so the rate should stay between 0% and 100%. If your reporting appears to break that rule, the usual explanation is a tracking mismatch, inconsistent scope, or a data-export problem rather than a genuine analytical result.
Does a high exit rate always mean the page is bad?
No. Some pages are meant to finish the session, such as confirmation pages, completed downloads, support resolutions, or deliberate dead-end utility screens. The useful question is whether the page is ending the session earlier than intended for that step in the journey. That requires you to interpret exit rate alongside page purpose, funnel position, traffic source, and user intent.
