SAN FRANCISCO and LONDON – Dec. 5, 2013 – DataSift, the platform that powers the social economy, announced today a global partnership with Automattic, the company behind WordPress.com, to further enhance the ability of brands and businesses to curate and extract value from social and web content. DataSift has also added a separate feed for IntenseDebate, a commenting system averaging 1 million activities per day across WordPress and other content management platforms such as Google’s Blogger and Tumblr.
Through the DataSift platform, companies will have curated access to the full firehose of Automattic’s public data including posts and comments on WordPress.com, as well as content from externally hosted WordPress blogs and websites powered by Jetpack. DataSift’s rich filtering capability enables users to add context to the data by providing more than 50 unique fields to search on, along with keyword targeting in post titles, body text, tags, categories, comments and links. Users can also define minimum comment count thresholds or listen for key bloggers and influencers by username. In addition, only the DataSift platform provides the data output for posts including tags and categories applied by bloggers, providing even more context to the data.
WordPress is a leading source of social and web content, for both consumer-oriented and B2B online destinations, powering more than 20 percent of web sites globally. With more than 1.8 million posts per day and roughly as many comments and likes, WordPress is a key data source for any enterprise interested in understanding the web presence of a brand or industry. The DataSift platform unifies access to multiple sources including Twitter, Facebook, Tumblr, Instagram, bitly and now WordPress, enabling companies to easily integrate social data into their applications and use social data to inform decision-making.
“By most measures, WordPress is the world’s most popular content management system. Adding this massive source of data to our platform advances DataSift’s mission to help companies truly understand the voice of their customers and the preferences of the marketplace,” said Rob Bailey, CEO of DataSift. “Real-time social engagement gives brands an incredible opportunity to capture and analyze consumer attitudes and behaviors, and then shift business strategy to take advantage of that feedback.”
“WordPress is the most popular CMS on the web – with publishers, the Fortune 500, the federal government, and millions of individuals and small business using WordPress to tell their story,” said Paul Maiorana, vice president of platform services at Automattic. “Our partnership with DataSift will help brands leverage this platform to unlock a mountain of data and better understand their customers.”
WordPress is a premier social economy property comprising more than 73 million sites, which produce more than 35 million new posts every month. This rich content provides a wealth of opportunity for enterprises and brands to better understand consumer interest and feedback as well as to capture sentiment and build deeper relationships. With the DataSift platform, companies now have access to real time and historic WordPress data, making it possible to turn more than 15B monthly page views in more than 120 languages into rich data for analysis and insight.
For more information about WordPress on DataSift, please visit datasift.com/platform/datasources/wordpress/.
DataSift Inc. is the leading enterprise social data platform, enabling companies to aggregate, filter and extract insights from the billions of public social conversations on Twitter, leading social networks and millions of other sources. DataSift provides access to both real-time and historical social data to uncover insights and trends that relate to brands, businesses, financial markets, news and public opinion. Key investors include Insight Venture Partners, Scale Venture Partners, Upfront Ventures and IA Ventures. DataSift has offices in San Francisco, New York, Canada, and Reading, U.K. For more information, visit www.datasift.com and follow us on Twitter @datasift.