An Overview of Data Mining Techniques - Data Mining Techniques in CRM: Inside Customer Segmentation - page 20

Table 2.1 The modeling dataset for the classification model.

Input fields Output field

Customer Gender Occupation Monthly Monthly Response

ID average average to pilot

number of number of campaign

SMS calls voice calls

1 Male White collar 28 140 No

2 Male Blue collar 32 54 No

3 Female Blue collar 57 30 No

4 Male White collar 143 140 Yes

5 Female White collar 87 81 No

6 Male Blue collar 143 28 No

7 Female White collar 150 140 No

8 Male White collar 140 60 Yes

Figure 2.2 Graphical representation of classification modeling.

After identifying the customer profiles associated with acceptance of the offer,
the company extrapolated the results to the whole customer base to construct a
campaign list of prospective Internet users. In other words, it scored all customers
with the derived model and classified customers as potential buyers or non-
buyers.