APRIL 1, 2013: FOR IMMEDIATE RELEASE
Sometimes a startup needs to examine where they are now and whether the product that they’ve developed could be applied to solve different market needs. Parse.ly is no different and over the past months we’ve given a lot of thought to applications of our semantic technology to solve new problems for publishers.
One problem we feel all publishers suffer from is finding the right metric to evaluate editorial quality. Pageviews, uniques, time spent — these are all so web 1.0! The only true answer in the question of editorial quality can come from the Big Data of Viral Content Signals from the Wisdom of Crowds.
That’s why this today we are launching a revolutionary new product to evaluate editorial quality: Parse.ly Deathmatch.
We make two publishers face off against each other on a topic we’ve extracted from their content and allow the interwebs to vote on which article is hot and which is not.
We’ve run our Hadoop clusters on overdrive to crunch our semantic and traffic datasets. Every vote is evaluated for 325 elements of content compatibility. Millions of data points are reticulated, re-masticated, and post-fabricated into a single important summary metric: are you HOT, or are you NOT?
We believe this is a new day in the media industry: finally, data-driven editorial decision making, at scale.
Enter Parse.ly Deathmatch Now!
Mike Sukmanowsky
Product Lead
UPDATE: our Chief Hadoop Officer has also written a technical explanation of our new Hotclick metric in Hotclicks: the Science Behind Parse.ly Deathmatch.
