Analysis | Visual | Segment | Impact on Target
The Impact on Target shows:
This new feature allows comparing a segment with a selected benchmark (either
data set, or another segment)
The differentiation/impact is computed by using the difference between the mean values of the variables, and the effect on the Target nodeThe comparison is based on how the observable variables of the segment can impact the Target node value.
The Impact for each observable variable is computed as follow:
is the analyzed segment,
is the benchmark,
is the analyzed observable variable,
the observable variable on the dataset ( on the data set defined by the segment or the benchmark),is the mean value of
of the observable variable of on the Target node, evaluated on the benchmark.is the effect
You can choose among the following Four types of effecteffects are available:
Let's take the Perfume example for which we have defined five segments with the Breakout Variable Product, namely Prod3, Prod4, ProdG1, ProdG5 and Prod G6.
Below is the table with the Standardized Total Effects of all the observable variables on Purchase Intent, and the mean values of these variables, computed on the entire data set, and on the segment represented by Prod3.