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Making the Most of Your Metrics: 7 Parse.ly Features You Might Not Know About
Data can be dense and difficult to navigate, even when it’s been synthesized for you. That’s why we ensure that everyone within an organization can navigate the Parse.ly dashboard easily and find actionable data to help make editorial decisions every day. There are, however, some valuable areas of the dashboard that may not be as…
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Readers are “Feeling the Bern”
Parse.ly recently uncovered new evidence suggesting that the public is not especially interested in reading about Donald Trump, despite the media’s persistence in covering his bid for the presidency. We learned that articles on Trump, Hillary Clinton, Bernie Sanders, and Ted Cruz received comparable page views per article, which led us to question why the…
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The Media’s Obsession with Trump Isn’t Justified by Data
A couple of months ago, Journalist Nicholas Kristof wrote a controversial op-ed column in The New York Times about how “The Media Helped Make Trump.” In the piece, he argued that the $1.9 billion in free publicity that the media has given Donald Trump so far during this election cycle has provided him with a…
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Questions You Should Ask Your Analytics Software Vendor: Answered
Do newsrooms and media sites always understand the full implications of the data collection habits of their analytics software providers? Thanks to the murky world of ad-tech, publishers have to be vigilant about their understanding of every type of third-party software. Even well-intentioned applications can put readers’ personal information at risk. Melody Kramer, a columnist…
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Parse.ly Does “The Side Hustle”
A side hustle is your true passion outside of the office — a chance to delve into fashion, travel, or whatever it is you care about the most without quitting your day job. Having a side hustle allows you to enjoy your work more fully; it improves your skills both in and out of the…
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Parse.ly Recommendation Engine Explainer (part 2): Under the Hood
In my last post on this topic, I introduced Parse.ly’s recommendation engine. There, I discussed how our recommendation engine for digital media websites takes a content-driven approach; supports contextualized and personalized modes of operation; and is exposed through four simple HTTP/JSON endpoints. In this post, we’ll go under the hood on the recommendation engine to…
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Personalizing News Recommendations by Building Better Reader Profiles
Only a few years ago, many people used RSS feed readers and personalized news aggregators to quickly find the stories they wanted to read. The promise of many of these apps and readers was that they would use data to learn what you liked and provide you with the most interesting stories. The technology seems…
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We Built a Slack Bot for Your Audience Data
Newsrooms love Slack. The communications platform that’s taken the world by storm helps teams organize and share knowledge in real-time. One topic media teams love to talk about is how your audience is responding to your latest articles and stories. We’ve made it easy to have conversations about audience data and analytics with our Slack…
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How Readers Engage with Long-Form Content on Mobile Devices
Do readers engage with long-form content from news websites on their phones? Pew Research Center, in association with the John S. and James L. Knight Foundation, wanted to explore how the rise in mobile devices impacted long-form content. Using anonymized data from Parse.ly’s database of hundreds of news and media sites, it was able to…





