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In this insightful webinar, we dive into the critical topic of event data with industry experts Mark Maiden from CrowdConnected and Richard Kensett from Explori. They discuss how event organizers can leverage a comprehensive understanding of their data to make smarter decisions, enhance attendee experiences, and ultimately, drive commercial success. The discussion is broken down into three key areas: data categories, collection methods, and practical use cases for sales, strategy, and operations. Key Takeaways: Understanding Event Data Categories: The webinar outlines three primary types of event data: demographic, behavioral, and sentiment data. Demographical Data: This is the basic information collected during registration, like job title and company, providing a foundational understanding of your audience. Behavioral Data: This focuses on what people actually do at an event, such as their movement around the show floor, how long they spend in certain areas, and who they interact with. This can be collected actively (e.g., through badge scans and taps) or passively (e.g., via mobile apps). Sentiment Data: This is the feedback attendees provide through surveys, polls, and other feedback mechanisms, revealing how they feel about their experience. Combining Data for Deeper Insights: The true power of event data is revealed when these categories are combined. For example, combining behavioral data (like the number of meetings attended) with sentiment data (satisfaction scores) can help organizers understand what truly drives attendee satisfaction and retention. One specific example from a client showed that after a certain number of meetings, attendee satisfaction significantly increased, giving the organizer a clear goal to focus on for future events. Real-World Applications of Data-Driven Strategy: Improving the Attendee Experience: Organizers can use behavioral data to identify underserved areas of an event and create new "walking routes" to guide attendees to these locations. Data can also inform decisions about event layouts and help personalize the experience for different attendee personas, such as "boothers," "networkers," and "educators". Enhancing the Sales Process: Behavioral data, such as footfall and booth performance metrics, can be used to inform sales teams during the rebooking process. This gives them a clear, data-backed narrative to discuss with exhibitors and sponsors, moving beyond a "gut feel" approach. Proving Event ROI and Driving Growth: Data-driven event design and a customer-centric approach lead to better event scores, higher retention, and ultimately, improved commercial performance. Retention of attendees, particularly first-time visitors, is a key metric, as it costs significantly more to acquire a new attendee than to retain an existing one. Overcoming Data Challenges: The experts emphasize that the biggest challenge for organizers is not just collecting data, but having processes in place to turn that data into actionable insights. They recommend starting with a specific problem you want to solve, and then identifying the data needed to address it. Technology should automate this process, moving from simply providing insights to actively helping to improve event outcomes. This webinar is essential viewing for any event professional seeking to move from reactive event planning to a proactive, data-driven strategy that delivers continuous improvement and measurable results. Visit our website for more information on how we can help you with your event data strategy.