Exit Rate: Definition, Formula, and GA4

Exit rate is the percentage of sessions that ended on a specific page, regardless of how many other pages a visitor viewed during that session. Every session closes on exactly one page, so exit rate accumulates per page across all site traffic over time.

The formula: divide the number of exits recorded for a page by the total pageviews that page received, then multiply by 100. A page that received 1,000 views and from which 200 sessions ended carries an exit rate of 20 percent.

Exit Rate vs. Bounce Rate: Where the Difference Lies

Exit rate and bounce rate are closely related but answer different questions. In GA4, bounce rate measures non-engaged sessions: a session counts as a bounce when it lasts under 10 seconds, records no conversion event, and includes fewer than two page views. That page was both the entry and the exit point. Bounce rate is therefore a measure tied to landing pages and how well they hold new visitors.

Exit rate applies to every page on the site, not just entry points. A visitor who browsed three pages before leaving registers an exit on the final page, but none of the earlier pages record a bounce. The visitor was engaged, navigated the site, and eventually left from somewhere. That last page accumulates exits without any additional context about how the session began.

The key relationship: every bounce is also an exit, but not every exit is a bounce. Treating these as interchangeable produces the wrong analysis. If you want to understand where users tend to close sessions across the full site, exit rate is the right metric. For understanding how well individual landing pages hold new visitors, bounce rate is the more precise signal.

Example (assumed values for illustration): A product page receives 400 pageviews in a given period. Fifty of those sessions were single-page visits: the visitor arrived directly on the product page and left without viewing any other page. Those 50 sessions are both bounces and exits from the product page. Another 60 visitors browsed the homepage and other pages first, then closed their session on the product page. Those 60 are exits but not bounces. Total exits: 110. Exit rate: 110 divided by 400, multiplied by 100, equals 27.5 percent. Bounce count: 50.

Where to Find Exit Rate in GA4

Google Analytics 4 does not surface exit rate as a pre-calculated column in its standard overview reports. Calculating it requires a custom exploration: the Exits and Views metrics are available in the Explore section, where the rate can be derived by dividing one by the other.

To access it: open Explore in the left-hand navigation, create a blank exploration, and add "Page path and screen class" as a dimension. Then add "Views" and "Exits" as your metrics. Once the table renders, divide exits by views for each row to get the exit rate for that page. You can add a calculated metric inside the exploration itself, or export the data to a spreadsheet and calculate the column there.

The Exits metric in GA4 counts the number of sessions that ended on a given page. Views counts how many times that page was displayed, regardless of session outcome. Both values are visible in the same exploration table, which makes the calculation direct.

When a High Exit Rate Is Expected

Context determines whether a high exit rate signals a problem or confirms that a page did its job. Pages designed to close an interaction carry high exit rates by design: a form confirmation page, an order summary, a help article that resolves a specific question, or a contact details page all tend to see most visitors leave after viewing them, because the session goal was reached.

The situation to investigate is a high exit rate on a page designed to move visitors forward. A pricing page where a large share of visitors exit without clicking through to a contact form, or a checkout step where sessions regularly end before payment is complete, can point to friction rather than a natural session end. The cause is confirmed only with additional data: engagement time reveals whether visitors spent meaningful time on the page before leaving, and session recordings show where attention dropped. By contrast, a thank-you page after a completed form submission will naturally carry a high exit rate — the session goal was reached and there was no further step to take.

Why Exit Rate Matters

Exit rate gives marketers a map of where sessions end across the full site. Paired with context about each page's purpose in the visitor journey, it identifies which pages create friction and which ones close naturally.

The metric becomes more useful when read alongside engagement time and scroll depth. A page with a high exit rate and low engagement time suggests visitors left without finding what they needed. A page with a high exit rate and high engagement time more often indicates a natural session close after the content was consumed.

For further reading, the on-page SEO guide covers editorial and technical on-page factors. A practical next step is to pull the exit rate for your highest-traffic pages in Explore and compare it against engagement time to identify which pages may need attention.