Turning post-event data into event success with Nicola Kastner and Jon Wolff
Event Experience
English - February 19, 2024 05:30 - 39 minutes - 54.7 MB - ★★★★★ - 21 ratingsMarketing Business Management events eventexperience eventmarketing eventprofessionals eventsindustry inperson leadership management marketers marketing Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
Tune in as Host Rachel Moore dives into the intricacies of using post-event data to shape future event successes with industry experts The Event Strategist Founder Nicola Kastner and Lenovo Global Events Manager Jon Wolff.
The discussion opens up the challenges of analyzing event data, the potential of AI in streamlining this process, and the practical steps toward transforming these insights into actionable strategies for 2024. Through a blend of expert opinions and actionable advice, the conversation sheds light on the crucial role of data in event planning, the pitfalls to avoid, and how AI tools can offer a competitive edge in interpreting vast amounts of data.
With an extensive background in event marketing strategy, Kastner emphasizes the significance of aligning event objectives with business goals and using data to inform every event planning stage. On the other hand, Wolff shares his experience in leveraging data for ROI optimization and the importance of sales and marketing alignment in utilizing event data effectively.
Together, they explore the essential metrics for measuring event success, the common challenges in data analysis, and how to overcome these obstacles to create impactful and memorable events.
Here’s what you’ll hear about in this conversation:
The importance of clearly defined objectives in collecting and analyzing event data to drive future event strategies.
How AI and machine learning tools can assist in uncovering trends and actionable insights from post-event data.
Strategies for overcoming common data analysis challenges, including the need for standardization and avoiding biases in AI-assisted data interpretation.
Mentioned in This Episode