Which data points offer the *mostactionable insights for improving engagement *duringa live virtual event for a fandom community?

The data points that offer the most actionable insights for improving engagement *duringa live virtual event for a fandom community are *real-time audience participation rates correlated with specific event segments and sentiment analysis of live chat and social media mentions*. Real-time audience participation rates measure how many attendees are actively engaging with the event, such as through polls, Q&A sessions, or interactive features. Correlating these rates with specific event segments (e.g., a particular speaker, a specific scene being discussed, a new product reveal) reveals which content is most engaging. For example, if participation spikes during a Q&A but drops during a presentation, the presentation format might need adjusting. Sentiment analysis of live chat and social media mentions provides immediate feedback on audience reactions. Identifying whether attendees are expressing positive, negative, or neutral sentiment towards specific event elements allows for real-time adjustments. For instance, if attendees express confusion during a demonstration, the presenter can immediately clarify the steps. These data points, analyzed in real-time, enable immediate adjustments to the event's flow, content, and presentation style, maximizing engagement and ensuring a positive experience for the fandom community. Focusing on passive metrics like total viewership is less actionable than understanding *howand *whyattendees are engaging (or disengaging) with specific parts of the event.