Identification of user segments based on video viewership activity and analysis
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.