Understanding how sites can track and target anonymous users takes more effort. Figure 6.10
should be helpful, but it may not answer all student issues. They have to understand cookies.
There are other types of targeting of anonymous users listed. To the best of my knowledge, none
are in widespread use, but who knows what the figure holds.
Targeting with predictive models takes us back to Chapter 4 and that link should be made.
Again, it’s not something that’s easy for a lot of students to understand, so it doesn’t hurt to
spend some more time on it. Akamai is used as an example, but they are not particularly good at
This would make a good case study if you can afford to spend that much time.
And as you end your discussion, it’s worth asking students if they are now more aware—more
concerned?—about the amount of data companies hold about them.
Targeting on vertical networks seems to generally make sense to students. Looking at the Glam
Media page in Figure 6.11 pretty much identifies the target audience. We couldn’t show the CBS
There are many opportunities for advertising on social networks. Many blogs accept advertising
and the Bargain Briana blog shown in Figure 6.12 is a hoot, but the attraction for advertisers is
obvious. Note that Google is advertising on the home page in this shot.
Once again, Facebook is the 800-pound gorilla in the space. You might want to search for recent