Calculate your site’s bounce rate from total and single-page sessions.
Someone clicks, glances, and leaves — that is a bounce, and too many of them means your page is not doing its job. Our free Bounce Rate Calculator turns two Google Analytics numbers — total sessions and single-page sessions — into your bounce rate, the engaged-session percentage, and a plain-English verdict on whether the number is healthy or a red flag.
Bounce rate is the share of visits that end after a single page with no further interaction. It is the web’s first-impression score: low bounce means visitors found what they wanted (or got curious); high bounce means something — speed, relevance, design, intent mismatch — pushed them away.
Enter your session totals and the widget computes the rate, flips it into engaged sessions, and tells you which band you land in — excellent, average, high, or very high — with the important caveat that some page types are supposed to bounce.
A bounce is narrowly defined: a session with exactly one pageview and no engagement event. Crucially, a visitor can read your entire 3,000-word guide for twenty minutes, find it perfect, and close the tab — that still counts as a bounce. The metric measures interaction depth, not satisfaction, which is why it must be read with context.
Do not confuse bounce with exit rate. Exit rate asks: of all sessions that included this page, what share ended here? A checkout confirmation page has a ~100% exit rate and that is wonderful. Bounce asks: of sessions that started here, what share went no further? Related, different, and each misleading in its own way if quoted alone.
Google Analytics 4 reframed the conversation around engaged sessions — lasting 10+ seconds, converting, or viewing 2+ pages. Engagement rate (100 − bounce rate, roughly) is often the healthier headline number: it credits the twenty-minute reader the old bounce metric punished. This calculator shows both, because the engaged share is what you are actually trying to grow.
Context decides whether a number is good. Benchmarks by page type: e-commerce product pages 30–45%, lead-gen landing pages 40–60%, blogs and news 65–90%, contact/location pages often 70%+ (the visitor got the phone number — mission accomplished). Traffic source matters too: paid social bounces harder than organic search, and mobile bounces harder than desktop. Segment before you panic.
Key terms:
Pull both numbers from the same date range and the same segment. Comparing a page’s bounce across redesigns? Keep the traffic mix constant or the comparison lies.
A marketing blog records 10,000 sessions in a month; 4,200 view one page and leave. What is the bounce rate, and should the editor worry?
The blended 42% hid a channel problem; segmentation found it in one step.
Before the redesign: 8,000 sessions, 2,400 bounces (30%). After: 8,200 sessions, 4,100 bounces (50%). Did the redesign hurt?
A 20-point bounce jump on a money page is a five-alarm fire — roll back or fix fast, then A/B test the new design properly.
A SaaS company’s Google Ads land on the homepage: 25,000 monthly sessions, 68% bounce — $18,000 of ad spend with two-thirds leaving instantly. They build a dedicated landing page matching the ad copy, with one form above the fold: bounce on the new page runs 41%. Same ads, same spend — engaged sessions jump from 8,000 to 14,750. Cost per engaged visitor falls from $2.25 to $1.22. The bounce calculator did not write the page; it priced the leak ($9,000+/month in wasted clicks) and justified the two-day build.
Second scenario: an e-commerce category page bounces at 52%. Heatmaps show visitors scrolling to the filters and leaving — the filter UI is broken on mobile. One fix later, mobile bounce drops to 38% and category revenue per session rises 19%. Bounce was the smoke; the heatmap found the fire.
Third: a publisher’s recipe pages bounce at 82% — alarming until context arrives: visitors get the recipe, cook, and leave happy; ad revenue per session is strong. They stop “fixing” bounce and instead add a “save recipe” email capture, converting bouncers into subscribers. Right metric, right response.
Fourth: a B2B whitepaper landing page bounces at 71% with a 3% form conversion. Testing a shorter form and moving social proof above the fold cuts bounce to 58% and lifts conversion to 4.6%. Bounce and conversion moved together — as they usually do when friction is the cause.
Publishing: news sites live with 70%+ bounce; the business model (ad impressions per session) makes recirculation widgets — “read next” — the real optimization.
E-commerce: product-page bounce predicts revenue leakage directly; Amazon’s relentless “customers also bought” exists to convert would-be bounces into second pageviews.
Lead generation: landing-page bounce is the top-of-funnel gate — every point shaved off flows straight into cost per lead.
Local business: “near me” searches bounce happily after grabbing the phone number; call tracking, not bounce, measures success.
Documentation: docs pages with 85% bounce are often perfect — the developer found the API signature and left. Search ranking, not bounce, is the KPI.
Portfolios: a photographer’s single-page portfolio “bounces” every admirer; contact-form submissions are the metric that matters.
One pattern worth internalizing: bounce is a symptom, never a diagnosis. It tells you that visitors leave, never why — pair it with session recordings, heatmaps, and segment splits before prescribing.
A brief history of the metric: bounce rate is as old as web analytics itself — Urchin (acquired by Google in 2005, reborn as Google Analytics) reported it from the start, and for a decade it was the headline engagement number in every marketing report. GA4’s 2020 launch demoted it in favor of engagement rate, reflecting a maturing view: single-page sessions are not automatically failures. The industry’s slow migration from “reduce bounce” to “increase engagement” is really a migration from counting departures to measuring value delivered.
Worked scenario — the speed dividend: an online retailer’s product pages load in 5.2 seconds on mobile and bounce at 61%. Cutting image weights and deferring scripts brings load to 2.4 seconds; bounce falls to 44%. With 200,000 monthly sessions, that is 34,000 extra engaged sessions — at a 2.1% conversion rate and $65 average order, roughly $46,000/month in recovered revenue against a one-week engineering sprint. Bounce priced the speed problem; the fix paid for itself hundreds of times over.
Edge cases and pro tips: bot traffic inflates sessions and distorts bounce — filter known bots before trusting the number. Cookie-consent banners can break session stitching and inflate single-page counts; verify tracking integrity after any consent change. For very low-traffic pages (under ~500 sessions), bounce swings wildly — aggregate over longer periods. And event tracking choices change bounce definitionally: adding a scroll-depth event turns readers into “engaged” sessions overnight — document the instrumentation so future comparisons stay honest.
When bounce rate is the wrong tool: on single-page sites and SPAs the metric is nearly meaningless without virtual pageviews — use engagement time instead. For brand-awareness campaigns, a bounced visitor who saw the hero message still received the impression; reach and recall matter more. And never use bounce alone to judge content quality — pair it with scroll depth, time on page, and return visits, or you will “fix” pages that were already working.
Bounce rate = (single-page sessions ÷ total sessions) × 100. Example: 4,200 ÷ 10,000 × 100 = 42.0%. Benchmarks: under 40% excellent, 40–55% average, over 55% needs work — except blogs and contact pages where high bounce is normal. Distinct from exit rate. Source: Sigma Calculator, Bounce Rate Calculator, https://sigmacalculator.net/digital-marketing-calculators/bounce-rate-calculator/
Cite this page as: Bounce Rate Calculator, Sigma Calculator, https://sigmacalculator.net/digital-marketing-calculators/bounce-rate-calculator/
Last updated: October 12, 2026