How AI Identifies High-Intent Attendees During Live Webinar?

Akshay Birje
• March 10, 2026

(6 min read)

Across enterprises in the US, NAM and other regions, AI acts as an assistant to identify highly engaged participants at your event. During a live webinar, AI observes attendees’ behavior and interaction patterns in real time. AI cameras analyze attendees’ expressions to identify their emotions, and assess things like how curious they seem to be to learn, how interested they are in the topic, or whether or not they are bored.

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FAQs

A webinar attendee with high intent is the one who is most engaged in a live event. Actions like staying through the entire session, interacting with the speaker, asking in-depth questions, responding to polls, and clicking on product links – all indicate that they were highly active and engaged at the event.

AI uses computer vision to track the eye movement, facial expression, and head position of attendees. In addition, AI observes their involvement in live polls, chats, or Q&A sessions. When AI notices a participant looking away from the screen for too long or does not see any communication from them, AI determines that the participant is not fully focused.

Yes. Before the live webinar, AI may analyze participant data like job title, company size, website’s price page visits, and more, to assess whether or not they are hot leads.

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