Updated: Last night’s game, halftime show, commercials and power outage combined to make it the most social event on television to date, according to data from Bluefin Labs and Trendrr. The Super Bowl tallied up 30.6M social media comments (Twitter, public Facebook data and GetGlue checkins), 2.5 times last year’s social activity of 12.2 million.
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Nielsen has announced a deal with Twitter to create a new social TV rating that they hope will become a standard in the industry. For Nielsen, this has been a remarkable story of catching up quickly in the social TV space, acquiring SocialGuide and partnering with Twitter in just over a month’s time. For Twitter, it’s an effort to further illustrate its value for “broadcasters and advertisers [to] create truly social TV experiences,” explains Twitter VP Chloe Sladden. The more TV participates on Twitter, the better Twitter becomes.
Earlier today, Nielsen and NM Incite announced they acquired the social TV data company SocialGuide for an undisclosed sum. While it’s big industry news, it’s not entirely unexpected: Nielsen has been ramping up its investment in social data while startups like Bluefin Labs, Trendrr, Networked Insights and SocialGuide have been hard at work creating and trying to standardize a new social dimension of TV ratings.
Trendrr has made a big announcement today, one that is sure to help their services grow in the long term. The social TV analytics company has announced that “the United States Patent and Trademark Office has awarded the company U.S. Patent No. 8,271,429, which protects the data collection and web-based display methods.” Their release goes onto explain that “the patent, entitled ‘System and method for collecting and processing data,’ protects Trendrr’s intuitive, turnkey enterprise technology solution, which solves the problem of processing, understanding and leveraging social data around television.” We spoke with CEO Mark Ghuneim about what this means for his company and about the unique ways they tracked the debates by looking at attribution by network. Read more
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