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 3, column 4).
All shelves, except Filters and Top K, are mandatory.
Populate the shelves from the available Fields:
timestamp
and place
it on the Time shelf.user_id
and place it
on the Session shelf.Start
and place it on the
Path shelf. Similarly, add to the right All
events
and Purchase
, in that order.Record Count
and
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
intermediate event, All non-purchase application events
, to the
Path shelf.
In the following funnel visual, we added a total of 5 instances of the All
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 (pencil icon) next to the title of the visualization to edit it, and enter the new name.
Campaign - Funnel
.At the top left corner of the Visual Designer, click Save.