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Exit Rate
32%
of pageviews ended on this page
Exits from Page 320
Total Pageviews of Page 1,000

What Is Exit Rate?

Exit rate measures the percentage of pageviews for a specific page that were the last page a visitor viewed before leaving your site. Unlike bounce rate, exit rate considers every visit that included the page, regardless of how the visitor arrived. It is a key web analytics metric for spotting pages where users tend to drop off.

Diagram showing visitors landing on a web page and some leaving the site from it
Exit rate measures the share of pageviews that were the last in a session.

How to Use the Calculator

Enter two numbers from your analytics report: the number of exits from the page (sessions that ended there) and the total pageviews for that page over the same period. The calculator divides exits by pageviews and multiplies by 100 to give the exit rate as a percentage.

The Formula Explained

The formula is simple:

$$\text{Exit Rate} = \frac{\text{Exits from Page}}{\text{Total Pageviews of Page}} \times 100$$

If a page had 320 exits out of 1,000 total pageviews, then \(320 \div 1{,}000 = 0.32\), and \(0.32 \times 100 = \textbf{32\%}\). That means roughly one in three views of the page was the last page of the session.

Fraction diagram of exits divided by total pageviews times one hundred
Exit rate is exits from the page divided by its total pageviews, as a percentage.

Worked Example

Suppose your checkout page received 4,500 pageviews and 900 of those were exits. $$\text{Exit Rate} = \frac{900}{4{,}500} \times 100 = 20\%$$ A high exit rate on a checkout or pricing page can signal friction worth investigating.

FAQ

Is a high exit rate bad? Not always. A "thank you" or confirmation page is expected to have a high exit rate. Context matters.

How is exit rate different from bounce rate? Bounce rate counts single-page sessions only, while exit rate counts any session that ended on the page, even after viewing other pages first.

What is a good exit rate? There is no universal benchmark — compare pages of similar purpose and watch for unexpected spikes.

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