You've noticed some discrepancies in your Google Analytics property and are trying to troubleshoot. Which of the following dimensions can you use to help identify anomalies or potential issues?
Use item name, device category, date.
Use page path, screen resolution, item name.
Use OS version, operating system with version, key event.
Use country, OS version, operating system with version.
Explanation
Analysis of Correct Answer(s)
This combination of dimensions is ideal for troubleshooting technical and regional issues. When investigating unexpected changes in data, segmenting by these dimensions can quickly reveal the source of a problem.
- Country: This dimension helps you determine if an issue is localized. For example, a drop in traffic or conversions might be isolated to a single country due to a server issue, a faulty ad campaign, or a language-specific bug on your site.
- OS version / operating system with version: These are critical technical dimensions. Many website or app bugs are specific to a particular operating system (e.g., iOS vs. Android) or even a specific version update (e.g., a feature breaks on Android 14). Analyzing data by OS version can pinpoint performance issues affecting a specific group of users.
Analysis of Incorrect Options
- Use OS version, operating system with version, key event: "Key event" (formerly "conversion") is a classification of an event, not a primary dimension for segmentation in this context. You would analyze key event counts within other dimensions (like OS version), but it's not a dimension used to find the source of an anomaly itself. You would use the Event name dimension instead.
- Use item name, device category, date: While device category and date are excellent for troubleshooting, item name is very specific to e-commerce reporting. It would not be useful for identifying site-wide technical issues unrelated to products.
- Use page path, screen resolution, item name: Similar to the above, page path and screen resolution are useful for finding page-level or display issues. However, combining them with the e-commerce-specific item name dimension makes this option less effective for diagnosing broad, property-level discrepancies. The correct answer provides a more universally applicable set of dimensions for initial troubleshooting.