Q: What scope levels available for dimensions and metrics?
A) Location-level, duration-level, product-level, or user-level scope comparison.
B) Hit-level, session-level, product-level, or user-level scope
C) Event-level, session-level, transaction-level, or user-level scope
D) Event-level, duration-level, transaction-level, or user-level scope
Correct Answer is B) Hit-level, session-level, product-level, or user-level scope
Scope determines which hits will be associated with a particular custom dimension value. There are four levels of scope: product, hit, session, and user:
- Product – value is applied to the product for which it has been set (Enhanced Ecommerce only).
- Hit – value is applied to the single hit for which it has been set.
- Session – value is applied to all hits in a single session.
- User – value is applied to all hits in current and future sessions, until value changes or custom dimension is made inactive.
In data analysis and reporting, dimensions and metrics are critical components that help organizations gain valuable insights into their business operations. Dimensions provide a descriptive attribute of data, while metrics provide a quantitative measure of the same data. The scope of dimensions and metrics determines the level at which they are applied and reported. In this article, we will explore the available scope levels for dimensions and metrics.
The three most common scope levels for dimensions and metrics are Hit-level, Session-level, and User-level. These scope levels are used by most data analytics platforms, including Google Analytics and Adobe Analytics.
The hit-level scope applies to individual interactions on a website, such as clicks, pageviews, or events. Hit-level dimensions and metrics capture data related to each user interaction with the website. For example, if a user clicks on a button or views a specific page, this data will be captured at the hit-level scope.
Hit-level dimensions and metrics are useful for understanding how users interact with specific elements of a website. They can also help identify potential issues with website usability, such as broken links or slow loading times.
The session-level scope applies to a group of interactions that occur within a single visit to a website. A session starts when a user first arrives on a website and ends when they leave or after a period of inactivity. Session-level dimensions and metrics capture data related to the user’s entire visit to the website.
Session-level dimensions and metrics are useful for understanding the overall engagement and behavior of users during a visit. They can help answer questions like, “How long do users typically spend on our website?” or “What is the average number of pages viewed per session?”
The user-level scope applies to a specific user’s behavior over multiple sessions. User-level dimensions and metrics capture data related to a user’s overall activity on a website, including all their sessions.
User-level dimensions and metrics are useful for understanding the behavior of individual users over time. They can help answer questions like, “How frequently do users return to our website?” or “What is the average lifetime value of a user?”
In addition to these three common scope levels, some data analytics platforms offer additional scope levels, such as Product-level or Campaign-level. These scope levels are used to capture data related to specific products or marketing campaigns.
The product-level scope applies to data related to individual products on an e-commerce website. Product-level dimensions and metrics capture data related to individual products, such as product name, category, or price.
Product-level dimensions and metrics are useful for understanding which products are popular with customers and which products may require adjustments to their marketing or pricing strategies.
The campaign-level scope applies to data related to specific marketing campaigns. Campaign-level dimensions and metrics capture data related to the performance of specific marketing campaigns, such as clicks, impressions, or conversions.
Campaign-level dimensions and metrics are useful for understanding the effectiveness of different marketing campaigns and identifying which campaigns are driving the most traffic or sales.
In conclusion, the scope level of dimensions and metrics is an essential factor to consider when analyzing data. By understanding the different scope levels available for dimensions and metrics, businesses can gain a deeper understanding of their website and marketing performance. By leveraging the insights provided by these scope levels, businesses can optimize their website and marketing strategies to drive better results.
Learn more here: https://support.google.com/analytics/answer/2709828#scope