Funnel visuals enable us to explore user behavior across a sequence of discrete time-stamped events, specifically how sessions drop off; they are a very good way to measure conversion.
Funnels are an implementation of a Sankey plot: blocks represent individual events, and the width of the connection is proportional to the size of the measurement connecting any two events.
For contrast, see Flow Visuals.
The following steps demonstrate how to create a new funnel visual on a dataset Campaign. This dataset is based on data previously imported into Arcadia from the datafile campaign.csv.
In the visuals menu, find and click funnel (row 2, column 6).
All shelves, except Filters and Top K, are mandatory.
Populate the shelves from the available Fields:
timestampand place it on the Time shelf.
user_idand place it on the Session shelf.
Startand place it on the Path shelf. Similarly, add to the right
Purchase, in that order.
Record Countand place it on the Measure shelf.
Click Refresh Visual.
The funnel visual appears.
Note that each connection has at most two segments, which does not model the real business case.
To model more of the path that satisfies the event conditions, add more copies of the
All non-purchase application events, to the
In the following funnel visual, we added a total of 5 instances of the
non-purchase application events to the shelf.
You may wish to examine a particular business case scenario. To see this path, simply click on a flow leading to the first card impression, and the flow highlights the entire path.
If the path is complicated, you can change the order of the nodes in any step of the flow visual, simply by clicking on that node and dragging it up or down.
In the following visualization, we arranged the nodes to place all purchases at the top of the funnel steps.
Click Edit next to the title of the visualization.
Campaign - Funnel.
Above the left navigation bar, click Save.