Reference Guide

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.