📄️ Audit ID
A unique identifier for each specific audit conducted, linking the results to particular tests or checks performed during the evaluation.
📄️ Average Audit Score
The average score for a specific issue, calculated across all instances, providing a general indication of severity or impact.
📄️ Average Blocking Time (sec)
The average blocking time per instance in seconds, showing the typical delay caused by blocking resources.
📄️ Total Blocking Time (sec)
The sum of all blocking times converted into seconds, making it easier to grasp the extent of user-experienced delays.
📄️ AVG Cache Hit Probability
The average probability that a resource is served from cache rather than downloaded, impacting loading times and server load.
📄️ Total Cache Lifetime (ms)
The total sum of cache lifetimes in milliseconds for resources involved in the audits, indicating potential areas for better cache management.
📄️ Debug Data Max Age
Indicates the maximum age of debug data, which helps in understanding the freshness or relevance of the audit data.
📄️ Debug Data Type
The type of debug data collected during the audit, which can inform on the nature of data processing and interpretation.
📄️ Description
An in-depth explanation of what the audit assessed, why it is important, and the potential effects of the findings on user experience or performance.
📄️ Element
HTML element (e.g., an image, script, or CSS file) associated with the performance issue, which can be optimized to enhance the page's performance.
📄️ Example URL
An example URL where the issue was found
📄️ Failed URLs
The number of audit instances that resulted in a 'Failed' status, indicating critical areas where improvements are necessary.
📄️ Failure Type
The type of failure detected during the audit, categorizing the issue into broader problem areas like performance, accessibility, or best practices.
📄️ From Protocol
Specifies whether the resource was loaded via a specific protocol (e.g., HTTP, HTTPS), which may influence performance and security aspects.
📄️ Total Pageviews
The sum of Google Analytics pageviews for all URLs where the audit issue was found, reflecting the exposure of the issue to visitors.
📄️ GSC Clicks SUM
The sum of Google Search Console clicks for all URLs affected, reflecting the exposure of the issue to visitors.
📄️ Hostname
The domain name of the server where the audited URL resides, useful for identifying issues at the server level.
📄️ Needs Review URLs
The number of audits that were marked as 'Needs Review', indicating areas that might require further investigation or context-specific analysis.
📄️ Instance Count
The total number of times a particular issue was identified across different URLs, indicating how common the issue is.
📄️ Is Cross Origin
Indicates whether a resource is loaded from a different origin than the page, which can impact security policies and resource loading times.
📄️ Average Layout Shift Impact
The average impact of layout shifts per instance, helping to gauge the typical disruption caused to users due to unstable layouts.
📄️ Total Layout Shift Impact
The cumulative impact of layout shifts identified in the audits, quantifying the instability in page layout during loading.
📄️ Node Bounding Rect
The bounding rectangle of the node, providing spatial dimensions and positioning on the page, which can affect layout and visibility.
📄️ Node Label
A label that provides a human-readable identifier or name for the node, aiding in understanding the context of the audit findings.
📄️ Node Path
A path representation leading to the audited node within the DOM structure, helping developers locate and address the issue.
📄️ Node Selector
The CSS selector path to the specific node involved in the audit, useful for finding the element in a complex DOM structure.
📄️ Node Snippet
A snippet of the HTML code from the audited element, providing a direct code-based reference to diagnose issues.
📄️ Opportunity ID
A unique identifier for each type of audit opportunity, used to aggregate similar issues across different pages.
📄️ Passed URLs
The number of audit instances that achieved a 'Passed' status, showing compliance with best practices or performance standards.
📄️ Total Savings (KiB\*pageviews)
The total potential reduction in resource size (in kilobytes) multiplied by pageviews, quantifying the data-saving impact across user visits.
📄️ Total Savings (sec\*pageviews)
The total potential time saved (in seconds) multiplied by the pageviews, emphasizing the user-experienced impact of addressing these issues.
📄️ Protocol
The network protocol used for the audited request, such as HTTP or HTTPS, which might influence security and performance audits.
📄️ Protocol Reason
Additional details about why a specific protocol-related issue was flagged during the audit, enhancing understanding of network issues.
📄️ Reason
The reason provided for the audit failure or issue, offering specific insights into what went wrong or needs attention.
📄️ Request Start Time
The timestamp marking the start of the request for the audited resource, useful for analyzing timing and performance issues.
📄️ Savings Score
The cumulative score representing potential savings across all audit instances, measuring the total benefit of addressing the identified issues.
📄️ Source Column
The column number in the source code for pinpointing the exact location of the issue, useful for precise code edits.
📄️ Source Line
The line number in the source code where the issue or relevant code is located, facilitating direct debugging and corrections.
📄️ Source URL
The URL of the source file where the issue is found, often pointing to external scripts, stylesheets, or resources involved in the problem.
📄️ Subitems
Additional details or sub-components related to the audit issue, providing deeper insight into what is being evaluated.
📄️ # of Subitems
of Subitems
📄️ Title
The title of the audit test applied, summarizing the specific standard or performance aspect being evaluated.
📄️ Average Total Size (KiB)
The average size of resources in kilobytes per instance, useful for benchmarking and identifying outliers in resource usage.
📄️ Total Size (KiB)
The total size of all resources measured in kilobytes across all instances, highlighting the bulk of data that could be optimized.
📄️ Total Transfer Size (ms)
The total size of data transferred for the audited elements, providing a scope of data exchange that could be optimized.
📄️ URL Count
The number of unique URLs affected by a specific issue, helping to identify the scope of the issue across the site.
📄️ Warning URLs
The count of audit instances that resulted in a 'Warning' status, suggesting areas for potential enhancement.
📄️ Average Savings (KiB)
The average amount of data (in kilobytes) wasted per instance, offering a benchmark for comparison and potential improvement.
📄️ Total Savings (KiB)
The total amount of data (in kibibytes) that could be saved if optimizations are implemented, indicating potential network savings.
📄️ AVG Savings Percent
The average percentage of resources that could be deemed unnecessary or excessive, suggesting potential efficiency gains.
📄️ Average Wasted (sec)
The average amount of time (in seconds) wasted per instance, providing a standard measure of inefficiency across audited elements.
📄️ Total Savings (sec)
The total amount of time (in seconds) that could be saved if optimizations are implemented, showing potential improvements in load times.
📄️ Total Wasted Webp (bytes)
The sum of bytes that could have been saved if images were served in the WebP format, indicating opportunities for optimizing image delivery.
📄️ Weighted Score
The average audit score across all URLs this issue was found at, giving a weighted impact of the issue across the site.