What is bounce rate in UX analytics?
Bounce rate measures the percentage of sessions in which a user views only a single page before leaving the site without interacting further. A user who lands on a page, reads it, and leaves without clicking any links counts as a bounce. Bounce rate is one of the most commonly reported web metrics and one of the most frequently misinterpreted.
When does bounce rate indicate a UX problem?
A high bounce rate indicates a potential problem when users are landing on a page with the intent to continue through a flow but are not doing so. A high bounce rate on a landing page meant to drive signups suggests the page is not compelling or clear enough to motivate the next action. A high bounce rate on a product page meant to drive add-to-cart suggests it is failing to convert browsing intent. In these contexts, a high bounce rate is a signal worth investigating through analytics, usability testing, and user interviews.
When is bounce rate not a UX problem?
A high bounce rate is not inherently a problem. Users who land on a blog post, read the full article, and leave having found what they needed have had a successful experience, but they count as bounces. Users who find a phone number on a contact page and leave to make a call have succeeded, but they count as bounces. Reference pages, documentation, and single-purpose landing pages may legitimately have high bounce rates that reflect user success rather than failure. Interpreting bounce rate meaningfully requires understanding the intended user journey for each page type.