Its new Data Pipeline delivers the info behind its existing dashboard and API.
At Parse.ly, we’re used to measuring the impact of media with metrics. Page views, shares, and engaged minutes are our usual currency for understanding how audiences respond to the content they read, watch, and use every day.
A new report from Parse.ly, a social media analytics company that works with large publishers such as Upworthy, Slate and Business Insider, suggests that in terms of traffic, the average publisher isn’t getting much out of Twitter.
Typical database management problems, such as fault tolerance and data distribution issues, may seem commonplace for digital publishers; but, many actually have a difficult time making their data truly accessible through a simple query. To address this problem, Parse.ly introduced Mage, a backend capable of powering our large analytics dashboard.
The native content wars are heating up: Twitter recently announced it’s experimenting with 10,000-character feature-length tweets, which means that entire news articles could soon be displayed within the Twitter feed.
There’s no question that social media is one of the most effective ways for publishers to distribute digital content — as of December 2015, more than 45 percent of traffic to publisher sites on the Parse.ly network came from social.
Our company is well-known for our real-time and historical content analytics dashboard, but Parse.ly’s data is also widely used for automatic content optimization on some of the top sites across the web, via our rich API. This post covers how we’re changing the API in early 2016.
Catching up on some reading this week? We took a look back at the Parse.ly blog in 2015 to see which stories were most read by our audience. Don’t miss any stories in 2016 – subscribe to the blog to get the stories sent directly to you!
Santa has elves, we have engineers. As the holiday season begins, here’s a rundown of our gifts to you: new features you’ll find in the Parse.ly dashboard.
Parse.ly, the leading provider of audience insights for digital publishers, today announced itsAgency Alliance partnership program with top-tier agencies including 10up, Alley Interactive, Empirical Path, Hard Candy Shell, The Splice Newsroom, and Vector Media Group.
Parse.ly’s chief technical officer Andrew Montalenti said in an interview with Fortune that the company’s latest estimates show that social-media sources (of which Facebook FB -0.01% is by far the largest) accounted for about 43% of the traffic to the Parse.ly network of media sites, while Google accounted for just 38%.
Have you ever wondered how we ended up with the name “Parse.ly”? Do we really like herbs? Or puns? We’ve heard people delight in the name Parse.ly, though on occasion it has also been a source of confusion (Parsely? Parse.Ly?). Even if you’ve never given it much thought, we wanted to set the record straight.
Why are venture capitalists, private equity firms and wealthy individuals pouring hundreds of millions of dollars into new media each year? Last month, Parse.ly invited dozens of journalists and professionals from the publishing world to participate in a conversation that explored these questions and more.
Recent research from Parse.ly about the impact of social sharing of content comes at an opportune moment. The last week, several of the diginomica team have been hip deep in our own analytics.
The New Republic's investment arm has made its first move in buying a piece of web analytics firm Parse.ly.
Online publishers have been furiously testing out different content models. To keep up with them, publishing analytics provider announced a new version of its platform.
Parse.ly, the New York-based web analytics startup has been awarded more than $1 million through a Defense Advanced Projects Agency (DARPA) program called Memex, focused on developing the next generation of web search.
In the keynote presentation at news:rewired on Friday (20 September), Jay Lauf, publisher of business news site Quartz, said an important question that publishers do not ask often enough is "where does our audience come from?". He shared traffic source stats for Quartz, which is a year old this week and is averaging around 3.3 million unique users a month.
Publishing analytics startup Parse.ly has raised $5 million and has released its first report showing the top sources of traffic across its customer base. It claims hundreds of them, including big-name ones like Atlantic Media, Reuters and Mashable.
In the race for pageviews, knowledge can be a dangerous thing. On the one hand, editors like me love having data that tells us what kind of stories people are clicking on.
From its founding, publishing analytics startup Parse.ly has embraced the idea of a virtual office. Its CTO, Andrew Montalenti, was a big believer in the power of distributed teams, a perspective gained through working on various open source projects.
Parse.ly, the content optimization platform for publishers which emerged from stealth in January has been flying under the radar when it comes to press, but has growing the size of its customer base over the past year. The company recently signed one of its largest deals to date, having now added Thomson Reuters to its list of publishing customers, and says that it’s now on track to profitability by early next year.
Parse.ly, a New York-based tech start-up that analyzes Internet traffic data for publishers like Atlantic Media and Mashable, found that over two days in July, a little more than half of traffic referrals came through Google, and about 14.3% through Facebook.
The massive amount of data that is emerging from connected, digital systems, is fundamentally changing everything, from Internet search to entertainment, to disease management, to energy consumption. Here’s 10 case studies that highlight the power of big data.
For publishers, being able to write relatable, hot-topic content is somewhat of a Holy Grail. Here at TNW we have a staff of 11 (at present) full-time writers. I can tell you the beats that they cover, but I can’t always tell you exactly how well a story has done because most analytics platforms don’t handle that sort of granular information very well. Enter Dash, from Parse.ly, and it’s problem solved.
This morning, Parse.ly launched Dash, a content management system smart enough to make a blogger weep with joy. It analyzes the Web to show publishers what's hot. It tracks trends within the site, revealing what works for the audience. It points out when old posts are getting popular again.
Parse.ly, the stealthy data-driven predictive content optimization platform for publishers, is preparing to launch its first product called Dash at the end of the month, we’ve learned. The startup first emerged from DreamIt Ventures in 2009, with $20K of seed funding in tow. It raised an A round from ff Venture Capital and Blumberg Capital in December 2010 totaling $1.8 million.
The following is a guest post from Sachin Kamdar, the CEO and co-founder of Parse.ly. Currently in stealth, Parse.ly provides a new set of performance metrics, specifically tailored to publishers’ needs. Here, Kamdar explores the new age of data and how publishers will be a part of it.
Parse.ly, the content performance authority [see our past coverage], today announced a feature to quantify the results of sponsored content and native advertising for publishers. Parse.ly is a content analytics and optimization platform that transforms real-time traffic, historical performance, social interactions, and global trends into actionable insights. This new capability gives publishers the added advantage of understanding and managing valuable paid content, and communicating its performance to brands via shareable, single-click, real-time performance reports.
Sachin managed teams with as many as thirty people through various leadership roles over the past several years. He graduated with a bachelor's in Economics from NYU and a master's in Education from Pace University. After graduating from NYU, Sachin was an NYC Teaching Fellow, using cutting edge technology to educate students in math and economics at an alternative high school in Brownsville, Brooklyn. He then started an EdTech consulting company that built, implemented and managed systems across schools in NYC.