Decision Tree is a feature in C-clone that allows user to select Gain and Volume of unique users from an audience.
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1- Select a Cclone segment then click on a graph one point (Volume of Unique Users and Gain)
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2- Decision Tree is displayed with the different segments and volume from selected previous point
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Once the advertiser has clicked on the dot corresponding to the audience he wants to target, he will get the corresponding segmentation tree at the bottom of the interface
2- Decision Tree is displayed with the different segments and volume from selected previous point
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This tree enables to identify and visualize the key predictors (most explanatory variables) explaining a performance (conversion…)
These explanatory variables are the result of the Khi2 test which calculates the dependency of the variables vs the variable to explain
The red nodes are those that constitute the audience selected
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number of Unique Users = Sum of “Volume Target” points in red (140+59+73+6 = 278)
They have the highest performance index vs the other segment (2.94; 2.06 and 1.09) = top figure in red (32.33; 7.23; 17.31; 1.40)
For the first segment, the strongest explanatory variable is that they don’t play videogames (>9most probably have a psychotherapy (>=0.5 index)
3- Audience can be saved
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Keep label of the audience created automatically. The pattern of the label is standardized
Illustration:
Cclone main segments label = test
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«4» is the second point of the abacus, starting from the left
« UU 4.39 » means 4.39% of the Negative segment
« G » is the expected performance
Tree illustration
Once the advertiser has clicked on the dot corresponding to the audience he wants to target, he will get the corresponding segmentation tree at the bottom of the interface
This tree enables to identify and visualize the key predictors (most explanatory variables) explaining a performance (conversion…)
These explanatory variables are the result of the Khi2 test which calculates the dependency of the variables vs the variable to explain
The red nodes are those that constitute the audience selected
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of the Negative segment
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How to create audiences from decision tree ?
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Once the audience is selected, save this segment by clicking on the
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Tip: audience label
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«2» is the second point of the abacus, starting from the left
« UU 2.48 » means 2.48% of the Negative segment
« G » is the expected performance
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