BREAKING NEWS & VIEWS
Parse.ly Makes Dash API Available to Create Custom Content Experiences
Thursday, August 2, 2012
Dash, Parse.ly’s ﬂagship product (launched March of 2011), analyzes content in order to generate insights that help publishers optimize content performance on their site and across the Web. Use of the Dash API provides publishers with a way to leverage all of the metadata collected through the analytics product to make customizable recommendations intended to enrich the reader’s experience. The Dash API provides complete access to the real time data collected through the analytics product which includes traffic and social data on articles, authors, sections, referral sources, and topics discussed in the content. The Dash API returns traffic and social data on a publisher's articles, authors, sections, referral sources, and topics and also features a content recommendation technology.
Ars Technica, a Conde Nast publication, is among current publishers leveraging the data in Parse.ly Dash to personalize individual reader experiences. A post on the Parse.ly company blog covers the variety of applications Ars Technica has based upon the Dash API. One way in which Ars Technica has implemented the Dash API is to develop a site overlay, which displays real-time page view data on top of the Ars Technica homepage, allowing editors and writers to respond quickly to trends and to adjust article distribution pathways.
Ars Technica has also leveraged the Dash API to build a recommendation engine. Recommendations appear in two places, in a “My Stories” space tailored to specific users and in a grid underneath posts. Ars Technica is using the profile capabilities of the API, where user profiles are stored, to build a base of information and browsing habits on specific users whether they’re anonymous or not.
Other customers using Parse.ly Dash publisher analytics include Meredith Publishing, The Atlantic, Mashable, The Next Web, and US News. Pricing for Dash starts at $499 per month.
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