All Correlation is Visitor-based

Important facts about associations between nodes as you're discovering segments.

As you drag items onto the canvas and see the visitor breakdowns, remember that they represent intersections, rather than subsets or drill-downs. This means that if you select an attribute near the top of the tree, the resulting visitor populations are associated with, but not solely restricted by, that attribute.

For example, if you first break down visitors by Purchase SKU, and then break down SKU 53932 on Purchase: Revenue Sum, nodes in the next level of the tree represent visitors who purchased SKU 53932 AND generated a total revenue of $12.99 and $113.99 in the time period selected. This is the total revenue for all products these visitors purchased, in addition to SKU 53932, in this time period.

Figure 1. Revenue totals for visitors who viewed SKU 53932 Breaking down visitors by Purchase SKU and Purchase: Revenue Sum.

Similarly, when looking at content groups broken down by content sub-group, the first breakdown is on Content Group, then, under Parts, Content Sub-Group. The sub-groups under Parts are not sub-groups only of Parts, but a variety of sub-groups. Of the visitors who viewed the Parts content group, some viewed the Tire Search sub-group, others viewed Accessories, and others Honda Parts.

Figure 2. Visitors who viewed sub-groups and viewed the content group "Parts" Breaking down content groups by content sub-group.

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