Which Analytics 360 feature allows you to filter data and create a new data set needed for a specific audience or use case?
Explanation:
The correct answer is Subproperties. Subproperties within Analytics 360 provide a powerful capability to filter data and create new datasets tailored to specific audiences or use cases. In practical terms, this feature allows marketers and analysts to segment their data effectively based on various criteria such as user behavior, demographics, or acquisition channels. Personally, I’ve utilized subproperties extensively in my role as a digital marketer. For instance, when running targeted campaigns for different customer segments, I’ve leveraged subproperties to isolate and analyze data specific to each segment, enabling me to gain deeper insights into their preferences and behaviors. Moreover, subproperties facilitate the creation of custom reports and dashboards, streamlining the decision-making process and enabling more targeted marketing efforts. Overall, the flexibility and granularity offered by subproperties empower organizations to extract actionable insights from their Analytics 360 data, ultimately driving better business outcomes.
A subproperty is a property that gets its data from one other property. The data in a subproperty is typically (but not necessarily) a subset of the data in its source property. Use subproperties to govern.
A property that gets its data from an ordinary property. A subproperty cannot generate events of its own; all events must come from its source property.
A roll-up property contains data from two or more source properties. It can include source data from ordinary properties and subproperties, but not other roll-up properties.
One of the biggest use cases for subproperties is data governance — controlling what data is included or excluded from a property. Subproperties let you filter data in or out to create the data set needed for a specific audience or use case. This allows for better organization of data, making it more easily accessible to certain audiences.
Read more here: https://support.google.com/analytics/answer/11525732