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  • Writer's pictureFadi Khoury

The 3 Data Layers that Events Must Extract from the Show Floor

Typically, events collect a significant amount of data from their online components, such as registration forms, event apps, online portals, and matchmaking solutions. However, when it comes to the show floor, there is often a lack of effective data extraction, which could be crucial if executed properly. To optimize future events and ensure continued improvement, there are three specific layers of data that organizers must collect and analyze.

1) Attendees’ behavioral movement (visited sections, visited sessions, visits duration)

Extracting attendees’ behavioral movement data can provide valuable insights into attendee behavior and preferences, which can be used to optimize event planning and design. Specifically, information about which sections attendees visited, which sessions they attended, and how long they spent in each area can help event organizers better understand what attendees are interested in and what they find most valuable about the event.

For example, if data analysis reveals that attendees are spending significantly more time in one section of the event than others, organizers may choose to allocate more space or resources to that area in future events. Similarly, if attendees consistently attend certain types of sessions, event organizers can use this information to curate more relevant content for future events.

However, collecting and analyzing this data requires a certain level of technological infrastructure, such as WIFI, beacons or RFID technology, which can track attendee movements in real-time. Additionally, it is important to ensure that data collection is done in a way that is respectful of attendee privacy, and that any data collected is properly secured and used only for its intended purpose.

2) Attendees’/exhibitors interaction (Lead scans, meetings booked, deals generated)

Another type of data that can be extracted from a tradeshow floor is information on attendees' and exhibitors' interactions. This includes data on lead scans, meetings booked, and deals generated, among other metrics. Collecting and analyzing this data can help organizers and exhibitors understand the success of their engagement strategies, and identify areas for improvement.

For exhibitors, data on lead scans can provide insights into the number and quality of leads generated during the event. This data can be used to gauge the effectiveness of booth design, messaging, and promotional materials, and help exhibitors optimize their approach for future events. Similarly, data on meetings booked can provide insights into the effectiveness of pre-show outreach efforts and help exhibitors understand the level of interest in their products or services.

For event organizers, data on exhibitor interactions can help provide a comprehensive view of attendee engagement and satisfaction, and help identify which exhibitors were most successful in generating leads, booking meetings, and closing deals. This data can be used to identify best practices, and optimize future events to better support attendee-exhibitor interactions.

3) Feedback collection via surveys

Feedback and surveys are a valuable tool for collecting data during a tradeshow. Attendee and exhibitor feedback can provide insights into the success of the event, identify areas for improvement, and help shape future events to better meet the needs and preferences of attendees and exhibitors.

One way to collect feedback during a tradeshow is to conduct on-site surveys or interviews with attendees and exhibitors. This can be done through a variety of methods, such as paper surveys, digital surveys, or in-person interviews. Questions can be designed to gather data on a range of topics, such as overall satisfaction, specific event features or sessions, and suggestions for improvement.

In addition to on-site feedback, post-event surveys and follow-up emails can also be used to collect feedback and data. These surveys can help gauge attendees' and exhibitors' perceptions of the event after they have had time to reflect on their experience, and provide a more comprehensive view of event success and areas for improvement.

Collecting feedback and survey data requires careful planning and execution, including ensuring that questions are well-designed and relevant, and that the survey or interview process is conducted in a way that is respectful of attendees' and exhibitors' time and privacy. However, the insights gained from feedback and surveys can be invaluable for optimizing future events and ensuring their continued success.

In conclusion, collecting all three data layers at the show floor is essential for optimizing tradeshows and ensuring their continued success. Data on attendee behavior, exhibitor interactions, and event performance can provide valuable insights into event success, areas for improvement, and best practices. By leveraging this data, event organizers can make informed decisions about how to structure future events, better engage attendees and exhibitors, and drive improved ROI for all stakeholders. While collecting this data can be a challenge, particularly given the complexity and scale of tradeshows, the potential benefits are significant. Ultimately, by prioritizing data collection and analysis, event organizers can ensure that their events are successful, engaging, and effective, and that they continue to drive meaningful results for all stakeholders.

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