Marketing

What's the Best Time to Launch a Video Game?

Research from the Robert H. Smith School of Business, at the University of Maryland, offers new insight into the strategies companies should use to maximize sales of their games: In general, study finds, companies ought to weigh the tradeoffs between reaching early adopters of game consoles, who purchase more content (and more-sophisticated content), and later adopters, who buy less but who over time make up more and more of the population of console owners. Read more...

Why You Should Dine Out Alone

Why are so many people reluctant to go to the movies or dinner alone? The existence of this inhibition is widely known, but its underpinnings have been subjected to surprisingly little scientific scrutiny — until now. Research by Rebecca Ratner, a marketing professor and assistant dean for academic affairs at the Smith School, sheds new light on the psychology of solo consumerism.

Undergrads Compete in Annual Marketing Conference

On Friday, Oct. 9, 2015, terpAMA, the University of Maryland’s Bronze Collegiate Chapter of the American Marketing Association hosted its 7th Annual Undergraduate Marketing Conference, where students had the opportunity to expand their skills and their networks by bringing back fantastic Smith alumni to provide their insights and experiences in marketing world to the attendees.

Coming Soon: A Social Media Tool to Predict Elections

The big winner of Tuesday’s Democratic presidential debate — at least in the Twitterverse — wasn't even on the stage. Republican frontrunner Donald Trump gained 60,000 followers with his live tweets during the event. But does it matter? Smith School professor Wendy W. Moe and a colleague from the University of Maryland journalism school are developing a tool to help make sense of social media data. Read more...

The Science of Retweets

What's the best time to tweet, to ensure maximum audience engagement? University of Maryland researchers, including Smith School professor William Rand, have demonstrated that an algorithm that takes into account the past activity of each of your followers — and makes predictions about future tweeting — can lead to more "retweets" than other commonly used methods, such as posting at peak traffic times. Read more...

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