Synthetic user profiles and monitoring online advertisements
Disclosed are systems and methods for monitoring and policing online advertisements. Content of a website is evaluated and assigned a score. The content evaluated may be either first-party content or third-party content or both. If the score fails predetermined criteria, a report is generated. Synthetic user profiles can be generated using a browser (or other software) to visit a number of predetermined or pseudo-random sites and accumulate user-specific data as it visits each of the sites. The browser stores off the accumulated user-specific data in conjunction with a synthetic user profile.
1. A method for evaluating online advertisements, the method comprising:
generating a first synthetic user profile by:
configuring a browser in accordance with first attributes; and
accumulating, via the browser configured in accordance with the first attributes, first user-specific data associated with a first plurality of resources;
generating a second synthetic user profile by:
configuring a browser in accordance with second attributes different from the first attributes; and
accumulating, via the browser configured in accordance with the second attributes, second user-specific data associated with a second plurality of resources, the second plurality of resources differing at least in part from the first plurality of resources associated with the first synthetic user profile;
retrieving, in a first instance, a target webpage via a browser configured in accordance with the first synthetic user profile, the target webpage comprising internal content and dynamic content;
retrieving, in a second instance, the target webpage via a browser configured in accordance with the second synthetic user profile; and
evaluating first dynamic promotional content retrieved via the first instance and second dynamic promotional content retrieved via the second instance to assign a first score to the first dynamic promotional content and a second score to the second dynamic promotional content.
2. The method of claim 1 , further comprising, based at least in part on the evaluation of the dynamic content:
identifying an affiliate associated with the first dynamic promotional content; and
automatically requesting further dynamic content associated with the affiliate be prevented from being served in conjunction with the target webpage.
3. The method of claim 1 , further comprising automatically generating a report comprising:
a record of the first dynamic promotional content;
the first score assigned to the first dynamic promotional content;
a record of the second dynamic promotional content; and
the second score assigned to the second dynamic promotional content.
4. The method of claim 3 , further comprising automatically providing the report to a user.
5. The method of claim 1 , wherein the first dynamic promotional content in the first instance is a first advertisement, and wherein the second dynamic promotional content in the second instance is a second advertisement different from the first advertisement.
6. The method of claim 1 , wherein the first attributes comprise one or more of: a browser type, a browser version, an operating system, or a geographical location.
7. The method of claim 1 , wherein accumulating user-specific data comprises accumulating and storing one or more of: cookies, web beacons, flash cookies, user-agent stringers, or referrer headers.
8. The method of claim 1 , wherein evaluating the first dynamic promotional content comprises assessing one or more of:
time to load the first dynamic promotional content;
data used to load the first dynamic promotional content;
animation load associated with the first dynamic promotional content;
number of trackers associated with the first dynamic promotional content;
rich media content associated with the first dynamic promotional content;
secured resource requests associated with the first dynamic promotional content; or
malicious code associated with the first dynamic promotional content.
9. A tangible, non-transitory computer-readable medium storing instructions that, when executed by one or more processors, cause the one or more processors to perform operations comprising:
generating a first synthetic user profile by:
configuring a browser in accordance with first attributes; and
accumulating, via the browser configured in accordance with the first attributes, first user-specific data associated with a first plurality of resources;
generating a second synthetic user profile by:
configuring a browser in accordance with second attributes different from the first attributes; and
accumulating, via the browser configured in accordance with the second attributes, second user-specific data associated with a second plurality of resources, the second plurality of resources differing at least in part from the first plurality of resources associated with the first synthetic user profile;
retrieving, in a first instance, a target webpage via a browser configured in accordance with the first synthetic user profile, the target webpage comprising internal content and dynamic content;
retrieving, in a second instance, the target webpage via a browser configured in accordance with the second synthetic user profile; and
evaluating first dynamic promotional content retrieved via the first instance and second dynamic promotional content retrieved via the second instance to assign a first score to the first dynamic promotional content and a second score to the second dynamic promotional content.
10. The computer-readable medium of claim 9 , wherein the operations further comprise, based at least in part on the evaluation of the first dynamic promotional content:
identifying an affiliate associated with the first dynamic promotional content; and
automatically requesting further dynamic content associated with the affiliate be prevented from being served in conjunction with the target webpage.
11. The computer-readable medium of claim 9 , wherein the operations further comprise automatically generating a report comprising:
a record of the first dynamic promotional content;
the first score assigned to the first dynamic promotional content;
a record of the second dynamic promotional content; and
the second score assigned to the second dynamic promotional content.
12. The computer-readable medium of claim 11 , wherein the operations further comprise automatically providing the report to a user.
13. The computer-readable medium of claim 9 , wherein the first dynamic promotional content in the first instance is a first advertisement, and wherein the second dynamic promotional content in the second instance is a second advertisement different from the first advertisement.
14. The computer-readable medium of claim 9 , wherein the first attributes comprise one or more of: a browser type, a browser version, an operating system, or a geographical location.
15. The computer-readable medium of claim 9 , wherein accumulating user-specific data comprises accumulating and storing one or more of: cookies, web beacons, flash cookies, user-agent stringers, or referrer headers.
16. The computer-readable medium of claim 9 , wherein evaluating the second dynamic promotional content comprises assessing one or more of:
time to load the second dynamic promotional content;
data used to load the second dynamic promotional content;
animation load associated with the second dynamic promotional content;
number of trackers associated with the second dynamic promotional content;
rich media content associated with the second dynamic promotional content;
secured resource requests associated with the second dynamic promotional content; or
malicious code associated with the second dynamic promotional content.
17. A system comprising:
one or more processors; and
the computer-readable medium of claim 9 .