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Trade show data in context

Posted By Kevin Fett
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Data is collected every day, even in circumstances you may not think of, like for instance when using your Roomba. Keep in mind, however, that data collected needs to be kept in context in order to be meaningful and be applied in a thoughtful way. Here are some things to consider when applying your data so your attendees can have an amazing and engaging experience.BigData

Data to personalize attendee interactions: One of the ways data in context is a powerful tool is in its application for a personalized interaction. You already collect information such as interests, job titles, and the like, as well as if attendees register for certain tracks or education sessions. You can use this information to provide suggestions or help attendees network with people who have similar interests or a similar background. You can also use data to offer up suggestions to attendees, such as which are the most popular sessions. By using key interests and other data markers, this allows application of those markers in real time.

Data to keep attendees informed: Push notifications are common nowadays, and most event apps have the ability to create push notifications. What if you made those push notifications contextually relevant? This could be to inform attendees who have registered for a certain session if there has been a change or if the session will start soon and they have not entered the room (where their badge has been scanned). Use registration information to create push notifications that are relevant to the attendee receiving them and bring context to those data points.

Data to be in the same place as your attendees: Geofencing can be used in different locations, such as at the airport when attendees arrive (to welcome them), at nearby hotels (to help guide them to shuttles or food options), and at the show location (to guide people to registration on day one, and sessions and coffee breaks throughout the conference). Beacons can also work as GPS to help show attendees figure out where they are and help them get to certain areas in the conference, such as the keynote. This is data in geographical context - using the data to be relevant exactly where the attendee is located at any given time.

Data application can be made in real time with the use of context, from where the attendee is, to what interests the attendee has, to how the attendee wishes to experience a conference via sessions and networking. Data in context can help make your attendees’ experiences personalized and memorable.