Besides tailored customer support interactions, this is useful for characterizing cohorts. You would use aggregates to identify customer groups and interesting business insights -- 'one geographic region produces more order completions than another' or 'low purchase price customers initiate more support interactions' -- and then use something like this activity feed to discover the narrative behind samples from those clusters. The aggregate stats give you the high-level business logic, while this use-case view tells the story behind how those overall traits arise from single user actions.