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CHAID analysis, also known as decision tree analysis, can be used for prediction as well as classification, and for isolating the most persuasive variables against target goals, such as website visitation or supplier recommendation. CHAID identifies discrete groups of variables and seeks to predict the impact of each variable on the target variable. We use CHAID for segmentation and for isolating key attribute drivers.

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