• Define the Jargon: Audience Engagement

    Define the Jargon: Audience Engagement

    Online media has seen a rise in the title of Audience Engagement Editor. Sites want to know how long readers have engaged with their articles. And above all else, the question remains how to harness this engagement and turn it into results: action, loyalty, monetization. But what do we mean when we talk about audience…

  • Fully Remote, But Here For Each Other

    Fully Remote, But Here For Each Other

    I have spent the last several years living a life that would be quite foreign to most Americans. Every morning for the last year, I wake up early and drive my wife to her job and take my dog on a brisk walk. That part might be familiar. But then I meander over to my…

  • What Data Tells Us About the 2016 Presidential Election

    What Data Tells Us About the 2016 Presidential Election

    Throughout the presidential campaigns, we’ve analyzed media coverage of the election to try to understand  what the data shows when it comes Trump vs. Clinton.  Along the way, we’ve asked if there really is a  correlation between coverage of a candidate and other factors, such as page views and poll numbers. Read on for  an…

  • How Mashable’s Data Scientists Spend Time Analyzing Data, Not Accessing It

    How Mashable’s Data Scientists Spend Time Analyzing Data, Not Accessing It

    The promise of a data science team for Mashable meant that they could create innovative technology for the media industry. They accomplished this with their impressive work on Velocity Technology Suite, but the team still faced an abundance of questions about the Mashable audience. What makes a reader more likely to subscribe to a newsletter?…

  • Make Any Digital Media Job Easier With These Questions

    Make Any Digital Media Job Easier With These Questions

    It starts with a simple question… Are you: An author, reporter or writer? A social media manager? An editor? In sales or advertising? For authors, reporters and writers… Parse.ly is all about knowing where your strengths lie — and where you still have room to grow. Dig into your author detail page using these methods:…

  • Three Things to Consider When Planning Your Video Strategy

    Three Things to Consider When Planning Your Video Strategy

    Have you checked Snapchat today? Did you get sucked into one of those Tasty food prep videos on Facebook yet?  You know your audience has, and that means you have to think about your own video  strategy. In a recent Parse.ly webinar, Sachin Kamdar, CEO of Parse.ly, was joined by video experts Travis Bernard, Director…

  • The Startup Diet: How Our Founders Lost 10-15 lbs on $4 a Day

    The Startup Diet: How Our Founders Lost 10-15 lbs on $4 a Day

    Editor’s Note: In 2009, when CEO Sachin Kamdar and CTO Andrew Montalenti founded Parse.ly and participated in the DreamIt incubator program, their goals included maximizing efficiency and productivity. Budgeting for food helped them cut costs and planning meals ahead carved out more time to focus on building their company. Read Andrew’s original write-up about the…

  • How Ars Technica Leverages Data Analytics

    How Ars Technica Leverages Data Analytics

    Committed to keeping what’s best for their audience at the forefront, the  Ars Technica  team always asks themselves before publishing any story: “What’s at stake for our readers?”  To answer that question,  Ars Technica leverages data analytics – particularly to understand what content engages their audience. Founded in 1998, Ars Technica is a digital publication…

  • A Better, Beautiful and Big Board of Data

    A Better, Beautiful and Big Board of Data

    Do you have a big screen that proudly displays the work your team has done; a place to see how visitors are flowing in and out of your stories in real time? Parse.ly’s real-time screens have always been a favorite of our users, and the latest updates to our Overview Screen make it impossible not…

  • Picking a cloud database for analytics: the SQL options

    Picking a cloud database for analytics: the SQL options

    If you’re a developer, analyst, or data scientist, you have probably been hearing a lot about “analytics” these days. Some the most popular open source big data projects, like — Spark, Cassandra, and Elasticsearch — regularly tout their analytics abilities. But it’s only in the last 18 months that good old SQL has re-emerged as…