Micro$oft has a web page which when you give it an URL, it will try to predict a customer’s age, gender. http://adlab.microsoft.com/DPUI/DPUI.aspx

So I fed it http://www.geocaching.com it gave 52% male, 48% female and fairly even age spread. This make sense.

Next http://www.ggaonline.org 37% male, 63% female? and older group.

Then my website http://www.allenlacy.com 5% male, 95% female and 82% between the ages of 25 and 34. There must be something I could sell to these young women and become rich.