Are you puzzled by the discrepancy between your bounce rate in Google Analytics and what you see on Ezoic? You're not alone. The way Google Analytics defines a 'bounce' may not accurately reflect the level of user engagement on your site. This article delves into the differences between Google Analytics' and Ezoic's definitions of bounce rates, explaining why you might see varied statistics and how Ezoic's approach offers a more accurate picture of user interest.

The default behavior of tracking bounces by Google Analytics has significant shortcomings. Google Analytics defines a 'bounce' as any visit where a user views only a single page, regardless of the time spent on that page. This method fails to accurately capture user engagement.

For instance, if a user spends ten minutes reading an article on a single page and then exits, Google Analytics still records this as a bounce. This is misleading as it does not reflect the user's genuine interest and engagement with the content.

In contrast, our approach to tracking bounces is more reflective of user behavior. We define a bounce as a single-page visit where the user leaves in less than 30 seconds. This method assumes that if a user spends more than 30 seconds on the site, they have found something engaging or of interest, and hence, should not be considered a bounce. By refining the definition of a bounce in this manner, we provide a more accurate measure of user engagement.