A customer wants to create a loyalty program by identifying all subscribers who clicked on...

The _Click system data view holds granular, per-event click-tracking records across all sends, and a SQL Query Activity is the correct tool to filter this data view against a six-month date range condition to identify the specific set of subscribers who clicked on any link during that window — this is exactly the kind of precise, criteria-based, date-bounded filtering that a SQL Query is built to perform, and the result can be written to a new data extension to seed the loyalty program population. Option B, a ' Data Filter ' applied directly to a system data view, is not the correct mechanism — Data Filters in Contact Builder are built against Attribute Groups modeled from data extensions the consultant configures, not directly against raw system data views like _Click; querying via SQL is the standard, documented approach for working with data views. Option A, Tracking Extract, is designed to export tracking data to a file for external analysis or archival, rather than to directly filter and produce an actionable, in-platform data extension of qualifying subscribers for immediate program enrollment. Option C, a ' Subscriber Engagement report, ' is not a standard, precisely-named Marketing Cloud feature capable of the specific six-month, click-based filtering and segment-creation task described. Reference: Marketing Cloud Data Views — _Click, SQL Query Activity.