Dell PowerConnect W Clearpass 100 Software Advertising Services Deployment Gui - Page 103

Default Level

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Advertising Services Version 1.3 With these settings, the balance of advertisements delivered to Sarah and Bradley would be as follows:  50% of Sarah's advertisements would be labelled with gender Female.  25% of Sarah's advertisements would be labelled with age_group 20 to 29.  50% of Bradley's advertisements would be labelled with gender Male.  25% of Bradley's advertisements would be labelled with age_group 30 to 39. IMPORTANT A user who is labelled with a user label can be matched to any advertisement that is (a) also labelled with the same label, or (b) is not labelled with any of the labels from the corresponding label group. For example, a user who is labelled with gender Female can be matched to any advertisement that is labelled with gender Female. They can also be matched to any advertisement that is not labelled with any of the gender labels; that is, any advertisement not labelled with gender Female and not labelled with gender Male. Therefore, an advertisement can be gender agnostic by simply omitting all gender labels. You do not need to label an advertisement with both gender Female and gender Male for it to be gender agnostic. Default Level: Specify how often all 'other' labels should be matched. NOTE The Default Level field will only be shown if intelligent delivery is Enabled. The Default Level specifies the requirement level for all user labels that are not listed in the Requirement Levels field. The Default Level field supports the following options: Table 22: Options for the Default Level field Option 0% (Ignore) 25% (Sometimes) Description Select this option to ignore the associated labels when processing intelligent delivery rules. Select this option to match the associated labels, on average, 25% of the time. That is, for every 4 advertisements delivered, on average, 1 advertisement must match the associated labels. 103

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Advertising Services
Version 1.3
103
With these settings, the balance of advertisements delivered to Sarah and
Bradley would be as follows:
50%
of Sarah's advertisements would be labelled with
gender
Female
.
25%
of Sarah's advertisements would be labelled with
age_group
20 to 29
.
50%
of Bradley's advertisements would be labelled with
gender
Male
.
25%
of Bradley's advertisements would be labelled with
age_group 30 to 39
.
IMPORTANT
A user who is labelled with a user label can be matched to any advertisement
that is (a) also labelled with the same label, or (b) is not labelled with
any
of
the labels from the corresponding label
group
.
For example, a user who is labelled with
gender Female
can be matched to
any advertisement that is labelled with
gender Female
. They can also be
matched to any advertisement that is not labelled with
any
of the gender
labels; that is, any advertisement not labelled with
gender Female
and not
labelled with
gender Male
.
Therefore, an advertisement can be
gender agnostic
by simply omitting all
gender labels. You do not need to label an advertisement with both gender
Female and gender Male for it to be gender agnostic.
Default Level:
Specify how often all ‘other’ labels should be
matched.
NOTE
The
Default Level
field will only be shown if intelligent delivery is
Enabled
.
The
Default Level
specifies the requirement level for all
user labels
that are
not listed in the
Requirement Levels
field.
The
Default Level
field supports the following options:
Table 22: Options for the Default Level field
Option
Description
0% (Ignore)
Select this option to ignore the associated labels
when processing intelligent delivery rules.
25% (Sometimes)
Select this option to match the associated labels,
on average, 25% of the time. That is, for every 4
advertisements delivered, on average, 1
advertisement must match the associated labels.