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Exit Rate Calculator

Results are estimates based on the values you enter. Recheck your inputs and assumptions before using the output for decisions.

Calculate exit rate from exits and total page views for the selected page or step.

Exit rate -
Non-exit page views -
Continuing view rate -

Exit Rate Calculator

Free online exit rate calculator to measure how often users leave a website from a specific page after viewing that page. This calculator is useful for SEO teams, content marketers, UX analysts, ecommerce managers, publishers, funnel builders, and business owners who want to understand where users are dropping out of a site or journey. Exit rate is a page-level engagement metric that helps show whether a specific page is acting as a common ending point in the user path.

The calculator works with two simple inputs: exits and page views. Exits means the number of visits that ended on the selected page. Page views means the total number of times that page was viewed during the same period. From those values, the calculator shows exit rate, non-exit page views, and continuing view rate. Exit rate helps you understand how frequently the page was the last page in a session, while continuing view rate shows the share of page views that continued on to another page.

The formula of exit rate

Exit rate = (Exits / Page views) x 100

Non-exit page views = Page views – Exits

Continuing view rate = (Non-exit page views / Page views) x 100

Here exits means the number of sessions that ended on the selected page, and page views means the total number of views for that same page. Exit rate shows what share of page views became the final interaction on that page.

Solved Example

Example 1: Find the exit rate if a page has 420 exits and 3,500 page views.

Solve: Exit rate = 420 / 3500 x 100 = 12.00%

Non-exit page views = 3500 – 420 = 3,080

Continuing view rate = 3080 / 3500 x 100 = 88.00%

Example 2: Find the result if a page has 180 exits and 900 page views.

Solve: Exit rate = 180 / 900 x 100 = 20.00%

Non-exit page views = 900 – 180 = 720

Continuing view rate = 720 / 900 x 100 = 80.00%

Example 3: Find the result if a page has 950 exits and 5,000 page views.

Solve: Exit rate = 950 / 5000 x 100 = 19.00%

Non-exit page views = 5000 – 950 = 4,050

Continuing view rate = 4050 / 5000 x 100 = 81.00%

Table of exit rate calculator

Exits Page Views Exit Rate Non-Exit Page Views Continuing View Rate
180 900 20.00% 720 80.00%
420 3,500 12.00% 3,080 88.00%
950 5,000 19.00% 4,050 81.00%
1,400 8,000 17.50% 6,600 82.50%

How to use this exit rate calculator

Enter the number of exits in the proper input field. After that, enter the total page views for the same page and the same reporting period. Then click the calculate button. The calculator will show exit rate, non-exit page views, and continuing view rate in the result box. Make sure both values refer to the same page and time range so the output stays meaningful.

This calculator is useful when reviewing content performance, product pages, checkout steps, landing pages, and help pages. A high exit rate does not always mean a page is performing badly. Some pages are naturally designed to be the end of a visit, such as thank-you pages, order confirmations, or contact information pages. But on pages where you expect users to continue, a high exit rate can suggest weak internal linking, unclear next steps, mismatch with user intent, slow performance, or poor content flow. Looking at exit rate together with continuing view rate helps make the pattern easier to interpret.

When using the result, remember that exit rate is different from bounce rate. Bounce rate looks at sessions where users left after only one page, while exit rate looks at how often a specific page was the last page, even in longer sessions. That means a page can have a high exit rate without having a high bounce rate. Even so, exit rate remains one of the clearest quick indicators of where journeys end on a site. This calculator gives a fast numerical view that supports UX review, SEO analysis, funnel optimization, and page-level performance decisions.

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