"As reported last year, GCS uses machine-learning algorithms to analyze data from YouTube, as well as third-party partners like Comscore, and even self-identified creators from Pixability's Inclusive Media Initiative. GCS then present users with a list of channels or videos to buy ads, against using over 700 attributes to score and classify each piece of content. (Since last year, that amount has now increased to over 1,200 attributes, Chief Product Officer Jackie Swansburg Paulino told AdExchanger.)"
"As precise as this particular tool can get, however, it still requires a lot of manual effort to implement, said Paulino. A human still needs to read and interpret the marketing brief, and then spend days researching and understanding the right types of audience personas to target before inputting those details into the GCS search function."
"By contrast, now users can copy that marketing brief directly into Pixie's chatbot-like interface, and the new tool will immediately generate audience segments based on that prompt. Users can also use natural language follow-up prompts to filter the Pixie-generated segments further. A user may type "I only want no-risk content""
Pixie is an agentic product that automates creation of scalable audience segments on YouTube by accepting marketing briefs in a chatbot-like interface and generating segments immediately. Pixie builds on GenAI Contextual Segments (GCS), which analyzes YouTube data, third-party partners like Comscore, and self-identified creators using hundreds to over 1,200 attributes to score and classify content. GCS historically presents channel and video lists for ad buying but required significant human effort to interpret briefs and craft audience personas. Pixie reduces manual steps by producing and allowing natural-language filtering of audience segments in real time.
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