Bounce Rate Calculator

Measure the percentage of users leaving your website without interacting with a second page.

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Session Bounce Rate
0%
Total Immediate Exits
0
Total Traversed Pool
0
Formula / Calculation
Bounce Rate = (Total Bounces / Total Sessions) × 100

The Metric of Disappointment

A "bounce" occurs when a user lands on your website and leaves without triggering any other requests to the Google Analytics server (i.e., they didn't click any internal links). A high bounce rate typically signals a massive disconnect between what the user expected when they clicked your link, and what your landing page actually delivered.

Diagnosing High Bounce Rates

Clickbait Disconnect

If your Facebook ad promises "70% Off TVs" but the link drops them aggressively onto a generic homepage filled with blenders, they will instantly bounce in frustration.

Mobile Unresponsiveness

If a user arrives on their smartphone and the text is microscopic, the viewport is broken, or the buttons cannot be tapped, the bounce is physically guaranteed within seconds.

The "Good" Bounce Paradox

A high bounce rate is NOT universally bad. If a user googles "Customer Support Phone Number," lands on your Contact page, grabs the number, and leaves... that was a flawless user experience, but it registers mathematically as a 100% bounce.

Fixing Site Leaks

Improve your Page Load Speed. Over 50% of mobile users will bounce if a page takes longer than 3 seconds to render completely.
Provide clear, massive, aggressively visible "Next Steps" navigation. Don't make the user hunt for the checkout or portfolio button.
Differentiate User Intent. Informational blog posts naturally carry astronomically high bounce rates (80%+); ecommerce product pages must maintain low ones (30-40%).

Frequently Asked Questions

Is an 80% bounce rate terrible?
It depends entirely on the page intent. For a blog article answering a specific question, 80-90% is entirely normal. For a multi-step checkout funnel landing page, an 80% bounce rate indicates the page is functionally broken or scamming viewers.