How to work smarter, not harder, with evergreen reporting

Today we’re announcing three new features in Parse.ly that help our clients access and identify insights about their audiences clearly and quickly, which allows them to make better decisions, faster. We now offer Evergreen Reports for identifying evergreen content, Multi-Author tracking for posts with more than one author, and an Audience Overview report (in beta) for understanding what encourages engaged, loyal readers.

To understand what each of these features means for our customers, we’ll be focusing on each in a blog post over the next few weeks. Read more on our Evergreen Report here.  Continue reading


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Parse.ly, July 23, 2014

The Top Five Things Digital Publishers Need to Know About Audience Loyalty

Wondering what you need to know when it comes to thinking about your strategy for growing loyal audiences? Here’s a crash course from Parse.ly’s CEO Sachin Kamdar.

1.) Loyal readership comes from building strong relationship between you and your reader.

Audiences don’t become loyal readers just because your headlines are crisp and your UI is well-designed. Those things play a role, but it’s part of a bigger picture. Casual or one-time readers turn into loyal readers through an individual relationship that you build by providing them with unique value.


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Sachin Kamdar, July 18, 2014

85% of the Internet has better things to worry about than LeBron James going back to Cleveland

The news broke at 12:29 p.m. Four years after LeBron James announced he was taking his talents to South Beach in an on-air extravaganza with ESPN, SI.com released a personal essay by Lebron explaining why he was coming home.

How did the internet react? The SI.com article has the highest Twitter shares, with over 130,000 at the time this post was published. ESPN’s coverage got over 30,000 likes, shares and comments on Facebook.

But it wasn’t just the sports websites that cared about LeBron. In just four hours after the announcement, 15% of total views across Parse.ly’s network of over 200 online publishing websites were on articles about LeBron James.


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Parse.ly, July 11, 2014

Newsrooms Explain How to Make Data Talk

As analytics become more and more common in digital newsrooms, the conversation has shifted from “Should we use analytics,” to “What are analytics actually telling us about our audience?”

It’s a difficult question to answer, with the only consensus appearing so far is that there is no consensus. Digital publishers have different audiences; their business models vary from ads to subscriptions to more; those that cover breaking news have different prerogatives than those that seek to entertain. That means each online publisher must have their own, personal strategy to bring their data to life through an eye for the creative power of seeing stories and trends. We call it: combining the art and science of measuring success in online journalism.


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Clare Ondrey, June 30, 2014

Hacking The News

A Sunday morning in the MIT Media Lab atrium, all the clues were there. Few words spoken between huddled teams. Quiet determination encoded in methodical keystrokes. Yes, a hackathon was entering its final hours.

Hacking Journalism, a hackathon hosted by Embed.ly & MIT’s Media Lab brought together journalists, students and technologists to hunt for solutions to familiar problems in digital journalism. How do you find new ways to tell a story? How do you determine what is relevant and true in a world of noise? How do you figure out who will reveal the next detail of a story as it unfolds?


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Garrett Wilkin, June 18, 2014

How to tell if explanatory journalism is explaining anything to anyone

The new cohort of explanatory journalism sites have been up and running long enough to take a first look at if they’re meeting expectations or not. But with digital publishers of all stripes struggling to understand what success means online, the added complexity of these new models only makes evaluation more difficult. Getting clear audience insights isn’t just a “nice to have” for these new sites, they’re essential for proving their value in the media ecosphere.

Is explanatory journalism explaining anything?

These sites, awash with data and aware of how helpful it can be when used in the right context, have no doubt been coming over their analytics to get the best insights and answers. So then, what do we expect their strategies to look like?


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Parse.ly, June 12, 2014

Alex Leo from Newsweek on the art and science of measurement in the digital newsroom

There’s a frustrating, basic truth about data and analytics: the information provided is at best noise, and at worst, harmful if not correctly analyzed and interpreted. Often, data scientists discuss how they must both be able to apply academic rigor while being creative enough to tell a narrative with the data. With the influx of data into newsrooms, having organizational leaders that understand this balance and know how to apply it to media is critical to harnessing its power for good.

Alex Leo, NewsweekAlex Leo is one of those people. As the Head of Product for the IBT and Newsweek, she deals directly with the challenges of finding success through data, technology and news, including spearheading the Newsweek.com relaunch. We spoke to her about how she sees the balance of art and science playing out in the digital newsroom.


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Parse.ly, June 9, 2014

What the New York Times found out by mapping audiences’ reading paths

Most media industry professionals have, hopefully, spent some time pouring over the digital innovation report from the New York Times. Throughout it, technology being at odds with “the way things have always been done” at traditional publishers becomes a recurring theme. Digital Innovation at the NY Times Continue reading

Clare Ondrey, May 30, 2014

Why Loyalty Matters, to Dale Earhnardt Jr. and Your Mother

It always comes back to metrics. We’ve written on which metrics matter, which ones might not, and there’s been extensive debate from others on the same topic. Digital publishers are investing to understand their metrics – the Association of Online Publishers found that 89% of their survey respondents planned to grow their investment in data technology in the coming year.11-perrcent

We’re not surprised; in fact, we’re encouraged, as organizations are starting to really understand the value in data. But a word of caution, if we may? Analytics can be a shiny fun tool to play with, but shiny fun tools can get boring after a while. If you aren’t using those numbers you capture to make better decisions, connect more with your readers, and improve your strategies – then it’s a wasted investment.


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Parse.ly, May 7, 2014

Q&A with Dan Lyons, on which metrics actually matter to writers

The upheaval of the media industry has been accompanied by well-publicized worries that measuring writers’ performance using data will lead to creative decline.  Some publications make a point of shielding their writers from this data, while others compensate on various metric benchmarks. This debate has been largely among editor ranks, so we wanted to hear directly from writers about how they feel when they see data on their article performance. 

At Parse.ly we interact with a wide range of people within publishing organizations, from analysts and editors to product managers and writers. In our Q&A posts, we’ll share insider’s thoughts about how data and analytics applies to the editorial world by going straight to the source.


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Parse.ly, April 18, 2014