Category Archives: Data Management

How to Choose the Best Tradeshow Lead Retrieval Device for Your Needs

Post authored by Siobhan Connellan, Senior Manager of Exhibitor Operations at Experient I recently attended a meeting for exhibitors held by a large show organizer about six weeks before their event. The purpose was to give representatives from exhibiting companies … Continue reading

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In the World of Tradeshow Lead Retrieval, Everything Old is New Again

Post authored by Siobhan Connellan, Senior Manager of Exhibitor Operations at Experient Tradeshows have been a forum at which buyers and sellers could meet face-to-face, sample wares, and place orders for many years. In fact, some point to the bazaars … Continue reading

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Phishing: Your Exhibitors May Be Doing It—and It’s Naughty

Post authored by Michael Godsey, Senior Vice President of Market Development at Experient I just can’t seem to keep myself from writing titles that attempt to grab the reader’s attention. I guess it was beaten into my head during journalism … Continue reading

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“Opt-Out” Clauses for the Attendee – DEATH for the Exhibitor’s Booth

Post authored by Michael Godsey, Senior Vice President of Market Development at Experient How’s that for a title? I know that’s a good bit of drama, and I think it comes from watching the movie Gladiator a little too much … Continue reading

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Transparency and Accountability: Keys for Government Events

Post authored by Mark Decker, Director of Government Events at Experient Congressional hearings taking place this week in the House and Senate underscore the need for transparency and accountability in government spending on conferences and events. The GSA scandal that broke … Continue reading

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It’s Not About Badges Anymore

Post authored by Terence Donnelly, CMP – Vice President, Sales & Account Management at Experient First, it was about “who’s coming to the event” and whether you had a function room big enough (or small enough) to hold the number … Continue reading

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Event Organizers Use Data to Hit Homeruns

Successful data collection means we need to work backward. We have to start with a goal, then determine what we need to know. Continue reading

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