Between the Lines

Larry Dignan, Andrew Nusca and Rachel King

DataSift brings social media tracking, filtering platform to U.S.

By | November 16, 2011, 6:00am PST

Summary: DataSift launches in the U.S. to use real-time social media data in order to monitor brands.

DataSift, a real-time data-filtering platform, is moving stateside to help businesses monitor just how their brand is doing when it comes to social media.

Essentially, DataSift’s platform searches through user conversations on social media sites (just Twitter for the time being) to formulate business-related insights based on hundreds of millions of social media posts per day. The platform is also able to filter social media data by demographic information, online influence and sentiment.

Sentiments come into play thanks to a partnership with Lexalytics, so that DataSift can characterize and filter for the sentiment (positive or negative) of a tweet. Another partnership with Klout allows DataSift to filter and analyze Twitter results based on influence.

Furthermore, DataSift does not limit searches based on keywords. Companies of any size can opt to customize and define more complex filters, such as location, gender, sentiment, and language for more specific insights and analysis. DataSift’s platform technology can even be applied to picking out any content that is represented as a link within the post itself.

Actually, DataSift is one of only two companies in the world with a license to make Twitter data commercially available for non-display purposes, which enables customers to search for posts using metadata contained in Tweets.

Similarly, Twitter itself has tried to alleviate the problem many businesses complain about in which they don’t understand how much traffic, and therefore the financial benefit, they’re receiving by using Twitter. That resolution started to come about with Twitter Web Analytics when it was unveiled in September.

Features on that particular platform including enabling site managers to see what content is driving the most traffic and most shared items, as well as tracking links to specified content.

In the coming months, DataSift will expand to cover other social media streams, including Facebook and Google Plus.

Originally founded by TweetMeme founder Nick Halstead and based in Reading, U.K, DataSift is setting up shop in San Francisco this week.

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Rachel King is a staff writer for ZDNet based in San Francisco.

Disclosure

Rachel King

Rachel King has no business relationships, affiliations, investments, or other potential conflicts of interest relating to the content posted in this blog.

Biography

Rachel King

Rachel King is a staff writer for CBS Interactive in San Francisco. Before serving as a contributing editor at ZDNet in New York City for two years, she previously worked for The Business Insider, FastCompany.com, CNN's San Francisco bureau and the U.S. Department of State. Rachel has also written for MainStreet.com, Irish America Magazine and the New York Daily News, among others. Rachel has a B.A. in Mass Communications and History from the University of California, Berkeley and a M.S. in Journalism from Columbia University, where she served as art director for the student magazine, Plated.

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RE: DataSift brings social media tracking, filtering platform to U.S.
yfrueye 16th Nov
This seems like a really cool program, and I am excited to see what impact it will have on U.S. enterprise. I haven???t used Twitter Web Analytics yet but I think a lot of businesses would be really interested in a service like this that helps them gain a broader understanding of their social media traffic. It???d be useful to measure Twitter success in more than just followers and @ replies. http://www.mosaictec.com

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