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Bounce rate calculator

Compute your website's bounce rate from single-page sessions and total sessions.

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Enter Single-page sessions, Total sessions and the Bounce rate calculator works out Bounce rate straight away. For instance, with Single-page sessions = 300 and Total sessions = 1,000 it returns Bounce rate = 30%.

How to use it

  1. Enter your values: Single-page sessions, Total sessions.
  2. Read the result instantly: Bounce rate.

Frequently asked questions

How does the Bounce rate calculator work?

It takes Single-page sessions and Total sessions and derives Bounce rate from them. The calculation is live as you type, so the result updates on every change.

Which values does the calculator ask for?

2 values: Single-page sessions and Total sessions. Nothing else is required — no account, no file upload.

What does a typical calculation look like?

With Single-page sessions = 300 and Total sessions = 1,000, the calculator returns Bounce rate = 30%. Those figures come from running this exact tool, so you can reproduce them by entering the same values.

When would I actually use this?

Finding where a journey leaks: which step loses the most people relative to its own traffic, what fixing it would be worth, and how many visitors a test needs before its result means anything.

What is the most common mistake?

Fixing the step that loses the most people. That is almost always the first one, simply because everybody starts there — the weak step is the one with the worst rate relative to the traffic reaching it.

What is the difference between the Bounce rate calculator and the Conversion rate calculator?

This one returns Bounce rate; the Conversion rate calculator returns Conversion rate and Visitors per conversion. That is the whole difference — open the one whose figure you need.

Is there a tool for the next step?

Email list growth rate calculator is the closest one after this: Compute the net growth rate of your email list from new subscribers and unsubscribes.

What else is worth having open alongside it?

Lead-to-customer rate calculator and Cart abandonment rate calculator — they come up in the same task often enough to be worth a second tab.

Where do the figures come from, and how current are they?

The maths is exact for the counts you enter, and it assumes each step is measured over the same period and the same population. Sample-size guidance follows the standard test for two proportions.

Further reading

All guides →
ExplainerBounce Rate Is Not What Most People Think It IsA bounce was never a measure of dissatisfaction — it was a session that sent one hit. Google Analytics 4 replaced the definition entirely, and the new one is a configurable timer. Here is the same thousand sessions read five ways.ExplainerEmail Open Rate Is Broken. Measure Click-to-Open InsteadApple Mail Privacy Protection pre-fetches tracking pixels, so a share of your opens were never opened by a person. Open rate now moves with your audience's mail client. Here is what survives, worked on a single send.GuideEngagement Rate Formulas by Platform: Why the Same Post Scores 2% and 4.8%Engagement rate is not one metric. Divide by followers, by reach or by impressions and the same post returns three different numbers — and every platform defaults to a different denominator.GuideUTM Parameters: The Five Fields and the Discipline That Makes Them WorkEach of the five fields has one job, and attribution rarely breaks on the mechanism — it breaks on inconsistent values. Here are the naming rules, the case-sensitivity trap, and the internal-link mistake that destroys the original attribution.ExplainerOpen Rate Is a Measurement of Your Audience's Mail ClientThe denominator should be delivered, not sent — which means defining hard and soft bounces properly. Unique and total opens are different numbers. And a reported open rate has a computable null point: past a certain share of prefetching clients it carries no information about humans at all. The instrumentation that replaces it.ExplainerThe Lead-to-Customer Rate, and Why It Is Not One NumberThe overall rate is the product of the stage rates, which makes a percentage gain anywhere worth the same percentage overall — and a ten-point gain worth wildly different amounts depending on where you put it. Plus the lag that makes a growing business look worse than it is.