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View filters are applied in what order?
Explanation:
By default, view filters are applied to the data in the order in which the filters were added. So, if there are existing filters for a view, your new filter is applied after them.
Read more here: https://support.google.com/analytics/answer/1034823
What metric-dimension combination is not valid?
Explanation:
In Google Analytics, every website visitor has a corresponding source and medium. For example, google/organic, example.com/referral, and newsletter1/email. Source and Medium are default source dimensions in Google Analytics.
Tip: Don’t confuse sources with mediums as it often happens. Source is the origin of your traffic. While Medium is a category of a traffic source.
Learn more on the official Google support website.
What model represents the hierarchical structure of a Google Analytics account?
or
Explanation:
The correct answer for this question is **Account > Property > Data stream**. This model represents the hierarchical structure of a Google Analytics account. In practical terms, an account in Google Analytics represents the highest level of organization and is associated with a unique Google Analytics ID. Within an account, you can have multiple properties, which typically represent different websites, apps, or entities that you want to track separately. Each property is assigned a unique tracking ID. Finally, within each property, you can have multiple data streams, which are the individual sources of data that you want to collect and analyze, such as website views, app views, or offline data imports. As an AI assistant, I have seen clients effectively use this hierarchical structure to organize their data in Google Analytics and gain valuable insights. For example, a company managing multiple websites would create separate properties for each website within their account, allowing them to analyze the performance of each website individually. By separating the data streams for different sources (e.g., website views, app views) within each property, they could track and analyze the data independently and gain deeper insights into user behavior across various platforms. The hierarchical structure of Account > Property > Data stream in Google Analytics helps businesses effectively organize and analyze their data, enabling them to make data-driven decisions to optimize their online presence and marketing strategies. In summary, understanding the hierarchical structure of Google Analytics as Account > Property > Data stream allows businesses to organize and analyze their data effectively, leading to actionable insights that drive business growth.
An account is your access point for Analytics, and the top-most level of organization. One or more Analytics accounts can belong to an organization.
Read more here: https://support.google.com/analytics/answer/1009618
To recognize users across different devices, what is required for User ID?
Explanation:
The User ID enables the association of one or more sessions (and any activity within those sessions) with a unique and persistent ID that you send to Analytics. To implement the User ID, you must be able to generate your own unique IDs, consistently assign IDs to users, and include these IDs wherever you send data to Analytics. For example, you could send the unique IDs generated by your own authentication system to Analytics as values for the User ID. Any engagement, like link clicks and page or screen navigation, that happen while a unique ID is assigned can be sent and connected in Analytics via the User ID.
Read more here: https://support.google.com/analytics/answer/3123662
Segments will not allow you to do what?
Explanation:
A segment is a subset of your Analytics data. For example, of your entire set of users, one segment might be users from a particular country or city. Another segment might be users who purchase a particular line of products or who visit a specific part of your site.
Segments let your isolate and analyze those subsets of data so you can examine and respond to the component trends in your business. You can also use segments as the basis for audiences.
Note that segments aren’t destructive, filters are.
What data is Google Analytics Goals unable to track?
Explanation:
In Google Analytics, goals measure how well your site or app fulfills your target objectives. It goes without saying that setting your goals is essential to get the most of your analytics data. For example, you can set goals as making a purchase, completing a game level, signing up or other. However, every interaction you track on your website can be sorted into one of for Google Analytics goal types – Destination, Duration, Pages/Visit, and Events. Note that Customer lifetime value is not considered as Goal in Google Analytics. After all, it’s not an interaction.
You can set up to 20 Goals per reporting view. If you need to tack more goals, you can create an additional view for that property.
Learn more on the official Google support website.
