Researchers at the University of Georgia looked at data of online conversations about products before release and discovered the degree of buzz generated could be a powerful predictor of sales. "Unlike conventional consumer conversations that occur in person, online buzz is curated and can be tracked in terms of date and time, and with the decline in computing and storage costs, it has become increasingly affordable for companies to keep a record of the history and evolution in consumer buzz over time," study co-author Guyiang Xiong says.

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