CDP Data Visualization Flow visuals enable us to explore user behavior across a sequence of discrete time-stamped events, towards a defined goal. They only plot data that achieves this goal.
Flows 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. The plot is defined by a path, or sequence, through time-stamped events. To learn how to identify and define events of a dataset, see Events.
For contrast, see Funnels.
For convenience, we divided this discussion into the following sections:
- Best practices for a flow visual
- Basic flow visual
- Modeling the min/max range of events in flow visuals
- Modeling the goal event for flow visuals
- Reorganizing flow visuals
- Using tooltips in flow visuals
- Setting the number of steps in flow visuals