Bounce rate: definition, calculation and methods to improve it

A high bounce rate is not always negative: for a blog, a user can read an article in full and leave satisfied. On the other hand, for a product page or an advertising landing page, an 80% bounce rate generally signals a mismatch between the ad and the page content.

Benchmarks vary widely by sector:

• Blogs: 70–90% (normal)
• E-commerce: 30–55%
• Lead generation: 30–60%
• SaaS service pages: 40–70%

It is important to distinguish the traditional bounce rate (no second pageview) from the 'engagement rate' introduced by GA4, which considers a session engaged if the user spends more than 10 seconds on the page, completes a conversion or visits at least two pages. These two methods are not comparable.

The bounce rate is one of the first indicators to analyse to diagnose the performance of a site or campaign.

An abnormally high bounce rate on a strategic page (landing page, product page, pricing page) is often a symptom of a specific problem:

• Ad message disconnected from the page content
• Load times too long (each additional second increases bounce by 10–20%)
• Degraded mobile experience
• Insufficiently compelling content

For marketing teams, monitoring bounce rate by traffic source helps identify which channels bring qualified traffic.

1. 1Improve loading speed first (each additional second increases bounce by 10–20%).
2. 2Ensure message-page alignment: your content must match exactly the promise made in the ad or source link.
3. 3Optimise the mobile experience, which often represents more than 60% of traffic.
4. 4Add clear calls to action and relevant internal links to encourage exploration.
5. 5Test different page structures with A/B tests.
6. 6Segment bounce rate by device, source and page type to identify priority issues.