Engagement metrics help you understand how visitors interact with your site beyond just loading it. These signals reveal how effectively your content captures attention, encourages interaction, and keep users involved.
What are error clicks?
Error clicks represent user interactions that trigger a failed outcome - such as clicking a broken link, submitting a form that throws an error, or interacting with a button that doesn’t respond as expected. These clicks reflect technical breakdowns that disrupt the intended user flow.
How is it measured?
We track clicks that lead to client-side or server-side errors - such as 404 pages, failed network requests, or JavaScript exceptions tied to click events. The metric is expressed as the average number of error-triggering clicks per pageview, helping you spot patterns across pages or elements where user actions consistently fail.
Why it matters?
Error clicks signal frustration and failed expectations. When users click something and it breaks, they lose trust - and often abandon the session. A high error click rate may indicate broken functionality, regressions, or delays caused by performance bottlenecks. Identifying and fixing these points helps ensure a smoother experience, reduces support burden, and protects conversions across key pages like checkout, signup, or navigation menus.
Average daily error clicks
Represents the average number of clicks that trigger a technical error. This metric is a direct indicator of broken functionality on your site, enabling you to identify and fix bugs that impact the user experience proactively. Error clicks data was reported by our event-level tracking system, which captures failed interactions in real time.
Total error clicks
Represents the total number of clicks that triggered a technical error during the selected period. This total can help you quantify the scale of bugs and prioritize fixes after a new deployment or site change. Error clicks data was reported by our real-time monitoring tools and can be filtered by page, device, or timeframe for deeper analysis.