TagLift™ ad matching technology increases the value of UGC and professional video inventory in your network.
TagLift™ matches ads with the right audience, regardless of where a video is watched. The algorithm combines metadata, semantic analysis and social context to accurately determine the videos “real” content and audience. TagLift enhances contextual targeting by adding a layer of social relevance to metadata related to each video. This solution compliments behavioral targeting by matching ads for all users, even if they block tracking or have opted out.
By matching ads to a video's true audience. TagLift aggregates and follows it across social and distribution networks, and increases reach. By validating metadata and context, it increases overall ad performance. TagLift matching works in conjunction with other targeting technology and offers your customers: contextual, behavioral, demographic, channels, categories, and keywords.
Better matching means safer matching. By automatically assessing each video's viewers preferences and identifying misleading or fraudulent metadata, TagLift minimizes the risk of potential damaging content matching. In tests, TagLift was able to identify inappropriate content with 3 to 5 times better accuracy than contextual targeting.
