Systems and methods for targeting advertisements to users of social-networking and other web 2.0 websites and applications
The present inventions manage and deliver electronic advertisements to targeted users of an electronic communication network. The present inventions target advertisements based on the user's interactions with or behaviors exhibited on sites within the communication network. The present inventions also define audiences of target users based on the users' interaction with or behaviors on the sites and/or their responses to advertisements.
1 . A computer implemented method for targeting to a user of sites and applications on an electronic communication network an advertisement, comprising the steps:
collecting data regarding a user's behaviors,
defining an audience of targeted users for an advertisement based on user behaviors,
comparing the user's behaviors with the behaviors in the target audience definition, and
determining whether the user has displayed pre-selected behaviors in the target audience definition,
wherein, if the user has displayed pre-selected behaviors in the target audience definition, then causing an advertisement intended to be presented to users in the audience to be sent to the user.
2 . A computer implemented method for targeting to a user of sites and applications on an electronic communication network an advertisement, comprising the steps:
collecting data regarding a user's behaviors,
defining an audience of targeted users for an advertisement based on user behaviors,
optimizing the audience definition based on the audience user's conversions or advertisements,
comparing the user's behaviors with the behaviors in the target audience definition, and
determining whether the user has displayed pre-selected behaviors in the target audience definition,
wherein, if the user has displayed pre-selected behaviors in the target audience definition, then causing an advertisement intended to be presented to users in the audience to be sent to the user.
3 . The method of claim 1 or 2 , wherein:
collecting data is collecting data from a tag on the site.
4 . The method of claim 1 or 2 , wherein:
collecting data is collecting data from a database of previously collected data.
5 . The method of claim 1 or 2 , wherein:
defining the audience is defining the audience based on pre-selected user behaviors.
6 . The method of claim 1 or 2 , wherein:
defining the audience based on user behaviors that the user and other users have displayed.
7 . The method of claim 6 , wherein:
selecting the behaviors for the audience definition from the user behaviors that the user and other users have displayed by applying Pearson's Correlation Coefficient to the user behaviors that the user and other users have displayed.
8 . The method of claim 1 or 2 , wherein:
defining the audience based on the user behaviors that the user and other users have displayed and that will produce an optimal response to an advertisement.
9 . The method of claim 8 , wherein:
determining the user behaviors that will produce an optimal response to an advertisement by performing a regression analysis on the user behaviors that the user and other users have displayed.
10 . The method of claim 1 or 2 , wherein:
determining whether the user has displayed pre-selected behaviors in the target audience definition is applying Pearson's Correlation Coefficient to the user's behaviors and the behaviors in the target audience definition.
11 . A computer program product stored in a computer storage medium, comprising: a computer program configured, when executed by a computer, to target to a user of sites and applications on an electronic communication network an advertisement, by:
collecting data regarding a user's behaviors,
defining an audience of targeted users for an advertisement based on user behaviors,
comparing the user's behaviors with the behaviors in the target audience definition, and
determining whether the user has displayed pre-selected behaviors in the target audience definition,
wherein, if the user has displayed pre-selected behaviors in the target audience definition, then causing an advertisement intended to be presented to users in the audience to be sent to the user.
12 . The program of claim 11 , wherein:
collecting data is collecting data from a tag on the site.
13 . The program of claim 11 , wherein:
collecting data is collecting data from a database or previously collected data.
14 . The program of claim 11 , wherein:
defining the audience is defining the audience based on pre-selected user behaviors.
15 . The program of claim 11 , wherein:
defining the audience based on user behaviors that the user and other users have displayed.
16 . The program of claim 15 , wherein:
selecting the behaviors for the audience definition from the user behaviors that the user and other users have displayed by applying Pearson's Correlation Coefficient to the user behaviors that the user and other users have displayed.
17 . The program of claim 11 , wherein:
defining the audience based on the user behaviors that the user and other users have displayed and that will produce an optimal response to an advertisement.
18 . The program of claim 17 , wherein:
determining the user behaviors that will produce an optimal response to an advertisement by performing a regression analysis on the user behaviors that the user and other users have displayed.
19 . The program of claim 11 , wherein:
determining whether the user has displayed pre-selected behaviors in the target audience definition is applying Pearson's Correlation Coefficient to the user's behaviors and the behaviors in the target audience definition.