Analytics Bounce Rate Calculator

Free Bounce Rate Calculator

The total number of visits to your website or page.

Visits where the user left without interacting with the page.

What is Bounce Rate?

Bounce rate is a critical metric in web analytics that represents the percentage of visitors who enter a website and then leave ("bounce") rather than continuing to view other pages within the same site. Essentially, it measures the percentage of single-page sessions.

A "bounce" happens when a user lands on a page and triggers only a single request to the Analytics server. This usually means they didn't click any links, fill out forms, or interact with elements that are tracked by events.

How is Bounce Rate Calculated?

The formula for calculating bounce rate is relatively straightforward. It is the number of single-page sessions divided by the total number of sessions, expressed as a percentage.

Formula:
Bounce Rate = (Total Single-Page Visits / Total Entrance Visits) × 100

For example, if a specific blog post receives 1,000 sessions (visits) and 700 of those visitors leave without visiting a second page:

• Total Sessions: 1,000
• Bounces: 700
• Calculation: (700 / 1,000) × 100 = 70%

What is a Good Bounce Rate?

There is no single "good" number because bounce rates vary significantly by industry, content type, and device. However, general benchmarks can help you analyze your performance.

Website Type	Average Bounce Rate Range
Retail / E-commerce	20% – 45%
B2B Websites	25% – 55%
Lead Generation	30% – 55%
Content / Blogs	65% – 90%
Landing Pages	60% – 90%

Why High Bounce Rate Isn't Always Bad

A high bounce rate (e.g., 80%+) isn't always negative. If a user searches for a specific answer, lands on your article, reads the answer, and leaves satisfied, that is a positive user experience, even though it counts as a bounce. However, if users leave an e-commerce checkout page without buying, a high bounce rate indicates a problem.

How to Improve Your Bounce Rate

If your bounce rate is higher than industry averages for your site type, consider these optimization strategies:

1. Improve Page Load Speed: Slow pages cause users to leave immediately.
2. Match Search Intent: Ensure your content actually answers the query the user searched for.
3. Enhance Readability: Use short paragraphs, headers, and bullet points to make content scannable.
4. Clear Calls to Action (CTA): Guide users clearly on what to do next (e.g., "Read Next," "Buy Now").
5. Mobile Optimization: Ensure your site functions perfectly on smartphones and tablets.

Bounce Rate in GA4 vs. Universal Analytics

It is important to note that Google Analytics 4 (GA4) handles this metric differently than the older Universal Analytics (UA). In GA4, the focus has shifted to Engagement Rate.

In GA4, a session is considered "engaged" if it lasts longer than 10 seconds, has a conversion event, or has at least 2 pageviews. The Bounce Rate in GA4 is essentially the inverse of the Engagement Rate. If the Engagement Rate is 60%, the Bounce Rate is 40%.

function calculateBounceRate() { // Get input values var sessionsInput = document.getElementById('totalSessions'); var bouncesInput = document.getElementById('totalBounces'); var sessions = parseFloat(sessionsInput.value); var bounces = parseFloat(bouncesInput.value); // Result elements var resultBox = document.getElementById('brResult'); var percentageDisplay = document.getElementById('brPercentage'); var interpretationDisplay = document.getElementById('brInterpretation'); var marker = document.getElementById('brMarker'); // Validation if (isNaN(sessions) || isNaN(bounces)) { alert("Please enter valid numbers for both fields."); return; } if (sessions <= 0) { alert("Total sessions must be greater than zero."); return; } if (bounces sessions) { alert("Total bounces cannot be greater than total sessions."); return; } // Calculation var rate = (bounces / sessions) * 100; // Update UI resultBox.style.display = "block"; percentageDisplay.innerHTML = rate.toFixed(2) + '%'; // Move marker (clamp between 0 and 100 for css) var markerPosition = rate; if (markerPosition > 100) markerPosition = 100; if (markerPosition < 0) markerPosition = 0; marker.style.left = markerPosition + '%'; // Contextual Interpretation var message = ""; var color = ""; if (rate 40 && rate 55 && rate <= 70) { message = "Higher than Average"; color = "#fd7e14"; // Orange } else { message = "High Bounce Rate (Normal for Blogs/News)"; color = "#dc3545"; // Red } interpretationDisplay.innerHTML = message; interpretationDisplay.style.color = color; }