Identification of user segments based on video viewership activity and analysis

Abstract

The techniques disclosed herein facilitate online audience targeting based on brand and product interest/enthusiasm as determined by a measurement metric that is a function of one of more (and preferably all) of the following: recency data, frequency data, intensity data, consumption data, site data, meta data related to given videos, data, and other demographic data.

1 . Apparatus, comprising:
 a processor;   computer memory holding computer program instructions that when executed by the processor perform an advertising method, comprising:   receiving data generated from tracking video viewing behavior and consumption of related content;   based on the received data, generating at least one metric that correlates content being viewed with a given product/brand that is desired to be promoted; and   using the metric to facilitate a behavioral targeting decision.   
     
     
         2 . The apparatus as described in  claim 1  wherein the metric is a function of one of: recency data, frequency data, intensity data, consumption data, site data, metadata related to given videos, and combinations thereof. 
     
     
         3 . The apparatus as described in  claim 1  wherein the method further includes generating a profile associated with the metric. 
     
     
         4 . The apparatus as described in  claim 3  wherein the profile is forwarded to an ad server or an ad network. 
     
     
         5 . Apparatus, comprising:
 a processor;   computer memory holding computer program instructions that when executed by the processor perform a method, comprising:   receiving video viewing data;   using the video viewing data to determine an enthusiasm metric for one of: a particular brand, a product, an activity, and an interest; and   using that enthusiasm metric for ad targeting.   
     
     
         6 . The apparatus as described in  claim 5 , wherein the video viewing data includes user-generated video content.