Parse.ly Launches API to Empower Publishers’ Websites

Ars Technica is among current publishers leveraging the unique data in Parse.ly Dash to personalize the experience for each reader. 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.

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Ars Technica uses the data that the Parse.ly API collects and recommends other articles based on relevant topics

“Our goal with the Parse.ly API is to provide our customers with unique opportunities to build on top of our data to enrich their interactions with their readers,” Mike Sukmanowsky, Parse.ly’s Product Lead

New York, NY (PRWEB) August 02, 2012

Parse.ly, Inc., a New York City startup and creator of Dash, its content analytics product, today announced public availability of the Dash API. Ars Technica, a Conde Nast publication, has integrated Parse.ly’s unique technology across several key areas of arstechnica.com. The Dash API leverages all of the unique metadata collected through the analytics product to make highly sophisticated and customizable recommendations that enrich the reader’s on-site experience. The Dash API also 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.

A post on the Parse.ly company blog publicizes the variety of applications of the Dash API that Ars Technica has already implemented. Key implementations by the publisher include powering personalized content recommendations on the home page and article pages, Top Stories, and a backend site overlay used by the editorial team to quickly understand real time performance of their content.

By incorporating the overlay into their strategy, Ars Technica has already seen measurable results. Having access to at-a-glance page view data “has helped people tweak how they make their headlines and the types of content that they write about,” Jason Marlin, the Director of Technology at Ars Technica, said. The recommendations engine has been improving the reader experience, too. The recommendations appear in two places, in a “My Stories” space tailored to specific users and in a grid underneath posts. Using Parse.ly, the Ars Technica team can “make the individual user experience ever more tailored to the needs of that user.”

Parse.ly’s agile development environment has made Ars Technica’s API implementation smooth. The Parse.ly engineering team is quick to respond to client input and add desired functionality. “The best part of working with Parse.ly is just how good you guys have been about implementation versus, ‘oh well we’ll put this in our future request list and it might make version 12 or something,’” Marlin said. “Our goal with the Parse.ly API is to provide our customers with unique opportunities to build on top of our data to enrich their interactions with their readers,” Mike Sukmanowsky, Parse.ly’s Product Lead, said. “We’re thrilled to have great partners like Ars Technica, and many others, that have helped us recognize the pain points faced by online publishers on a daily basis. We want our customers to own their web experience completely. The Parse.ly API provides complete flexibility and customization.”

According to Parse.ly’s website, other customers using the Parse.ly Dash publisher analytics include Meredith Publishing, The Atlantic, Mashable, The Next Web, and US News.

About Parse.ly
Parse.ly is a predictive content optimization platform purpose-built for publishers. Parse.ly’s flagship product, Dash, empowers publishers to better understand their content and audience to make informed decisions via historical, real-time and predictive analytics. Parse.ly was co-founded by Sachin Kamdar, CEO, and Andrew Montalenti, CTO. The company was incubated at DreamIT Ventures, and is currently based in New York City. Parse.ly is financed by Blumberg Capital, ff Venture Capital, Scott Becker, Don Hutchinson, Jeffrey Greenblatt and Jon Axelrod. For more information, please visit http://www.parsely.com

Contact:
John Levitt
(212) 920-6846
john(at)parsely(dot)com


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Ars Technica uses the data that the Parse.ly API collects and recommends other articles based on relevant topics