Abstract: Systems, methods, and computer-readable media are disclosed for optimization of online advertising bid requests and floor pricing. In one embodiment, a method may include receiving a first ad impression request for an ad slot on a publisher website or mobile application from an ad exchange server, extracting first publisher website information from the publisher website, and associating the first publisher website information with the first ad impression request. The method may include comparing the referral website URL to a set of one or more historical ad impression requests, identifying second publisher website information associated with a second ad impression request, the second publisher website information comprising ad slot dimension information, and associating the second publisher website information with the first ad impression request. The method may include generating a bid request associated with the first ad impression request, and sending the bid request to one or more ad servers.

Abstract: Systems and methods for conducting one or more surveys are provided herein. In certain embodiments, one or more participants may be identified to take part in a survey. Each of the participants may be associated with a respective user computing device. The user computing devices may present each of the participants with content to rate and/or review. In this manner, each of the participants may provide a review and/or rating of the content via the user computing devices. Further, based at least in part on the review and/or rating of the content, a survey profile of the content may be determined.

Abstract: Systems and methods for conducting one or more surveys are provided herein. In certain embodiments, one or more participants may be identified to take part in a survey. Each of the participants may be associated with a respective user computing device. The user computing devices may present each of the participants with content to rate and/or review. In this manner, each of the participants may provide a review and/or rating of the content via the user computing devices. Further, based at least in part on the review and/or rating of the content, a survey profile of the content may be determined.