• ADVERTISEMENT

    7 Media Metrics Predictions for 2017

    by Jason Alcorn
    December 15, 2016
    Death to the Stock Photo, used under license.
    Creative Commons photo. Click on the photo or here to see the full series.

    Click on the photo or here to see the full series. Creative Commons photo.

    This year had more than its share of highlights and lowlights in the world of media metrics and impact.

    For all the advances that have been made to prioritize impact or subscriptions, verify ad data or use metrics to improve editorial judgment, there seem to be an equal number of missteps. For months, we’ve seen reports of errors in Facebook metrics, predictive analytics have transformed newsrooms into trend-chasing bots, and there is the stubborn persistence of page views as a quotable number inside and outside organizations.

    ADVERTISEMENT

    But I’m optimistic!

    We’re heading in the right direction. There is evidence of it all over MetricShift, including innovative approaches to teaching metrics at journalism schools, a growing body of research on the impact of journalism, and real-life case studies on using meaningful metrics in the newsroom.

    Here are my predictions for what will happen in the big, wide world of media measurement and impact in 2017.

    ADVERTISEMENT

    1. Donald Trump Will Continue to Drive Audience Numbers

    The campaign was a virtual boon to digital news media that we all expected to disappear on Nov. 9, regardless of who won the election. Now it seems more likely than not that the ride will continue. The president-elect has shown no signs of muting his Twitter account or shying away from the soundbites that launched a million Facebook clicks.

    Why might this prediction be wrong? If Facebook decides to slow the spread of all news in response to the epidemic of fake news, referral traffic could drop precipitously. Political coverage would still be popular on publisher sites and other platforms, like push notifications, but the big social media firehose would be turned off. Smart money’s on that not happening. (Also, see No. 6 about the “Trump bump” in paid subscriptions and donations.)

    2. Referral Traffic Has Plateaued

    I don’t see a cliff coming yet, but we’ve reached a plateau where publishers aren’t going to be able to accumulate a massive audience through referral traffic and continue to grow it at the rates we’ve seen the past few years. That era has passed, with top-to-bottom implications for how newsrooms are staffed, what resources are put into distribution, and the financial model for even behemoths like BuzzFeed.

    You see this new reality reflected especially clearly in the two highest-profile digital media projects out there right now, both from successful industry veterans hellbent on reinventing everything agin: Joshua Topolsky’s infinite-swipe The Outline and Jim VandeHei’s ultra-premium Axios. Neither is betting that their audience will arrive for quick bites a dozen times a day from social media.

    3. Publishers Will Stop Talking About Total Uniques

    And as referral traffic plateaus, publishers will stop talking about total uniques. Business people don’t talk about numbers that are no longer growing. Publicly held and VC-backed companies alike are going to feel the pressure of the precedent set in recent years, and it will be interesting to see how they react.

    In fact, however, this is going to be a good development. Publishers shouldn’t be talking about total uniques in the first place. A long time ago, disaggregated audience data became available and much more useful in guiding product development and editorial decision-making, as well as predicting how to cultivate and convert loyal readers into customers.

    If it takes a traffic plateau to get us talking more about loyalty metrics and the value of individual consumers, I’ll take it.

    4. We’ll Stop Talking About How to Track Impact

    Do nonprofit sector trends follow the same hype cycle as emerging technology? If so, media impact measurement in 2017 will finally reach the plateau of productivity after a roller-coaster of inflated expectations and a very low trough of disappointment for many journalism funders in 2016.

    screen-shot-2016-12-14-at-5-14-11-pm

    In 2017, we’ll see a more realistic, and happily, a more effective approach to impact measurement. Gone will be the assumption that journalism can be shoehorned into the same impact models and theories of change that work for advocacy and direct services. In its stead we will see a community of practice where newsrooms drop long-held conventions and matter-of-factly document and publicize the effects of their reporting. And they will be supported by increasingly rigorous academic research, the likes of which we’ve seen hints of this year.

    5. The KPI for Credible, Original Reporting is Digital Subscription Revenue

    Subscribers have flocked to the New York Times, the Washington Post, the Atlantic, Mother Jones and other publications since the election, news that those outlets haven’t proudly shared. Nonprofit newsrooms like ProPublica are also seeing an uptick in donations and new members. You get the news you pay for, and people who want better news — and want to incentivize better news — are opening their pocketbooks.

    In 2017, declining ad revenue and political fears will combine to accelerate this trend, and publishers who repeatedly demonstrate their ability to publish credible, original reporting will be rewarded with new subscribers. For top publishers who have largely solved the technology challenges behind paywalls and selling news online, there are no more excuses: They have to produce journalism worth paying for, and they will step up to the challenge.

    6. The Mobile Web Will Get Faster and Better

    2016 saw the widespread adoption of Google’s Accelerated Mobile Pages project and its competitors like Facebook Instant Articles. Publishers face a difficult choice, risking ad revenue, control over story layout, and lock-in to systems they don’t entirely control (or in some cases don’t control at all). The Washington Post has gone all-in, while The New York Times is being more cautious, and that split is industry-wide.

    But here’s the thing. Faster web pages are inarguably better for users. AMP and its ilk solve a very real problem for news consumers, and there’s no going back from that. Publishers will come up with their own solutions, jump on board with the tech-industry fixes, or lose traffic to their competitors. Metrics will show that there are no other options, and that’s frankly a good thing.

    7. Someone Will Announce a News Quality Score

    Can an algorithm tell you whether a piece of news is any good? Mark Zuckerberg says this is a big challenge, but Facebook also fired all its human editors. A handful of high school students at a hackathon built a Chrome plugin that isn’t half-bad. Google has been tweaking PageRank since I started working in digital media reading SEO blogs. At Stanford, Frederic Filloux is working on this question for this JSK fellowship.

    In 2017, I think a major media industry player will announce a news quality score as a first step toward differentiating between not only real news and fake news, but also between original sources and aggregation, new news and rehashing of old stories, and authors and publications who have earned credibility over months and years of work. I hope it will be an open standard, but it seems more likely to emerge as a proprietary algorithm from a platform who sees a competitive advantage in quality. And publishers will jump at the change to participate.

     

    Jason Alcorn (@jasonalcorn) is the Metrics Editor for MediaShift. In addition to his work with MediaShift, he works as a consultant with non-profits and newsrooms.

    Tagged: 2016 year in review 2017 predictions analytics impact tracking media metrics quality score unique visitors

    Comments are closed.

  • MediaShift received funding from the Bay Area Video Coalition (BAVC), which receives support from the Bill & Melinda Gates Foundation, to launch the MetricShift section to create a vibrant hub for those interested in media metrics, analytics and measuring deeper impact.

    About MetricShift

    MetricShift examines the ways we can use meaningful metrics in the digital age. We provide thoughtful, actionable content on metrics, analytics and measuring impact through original reporting, aggregation, and audience engagement and community.

    Executive Editor: Mark Glaser

    Metrics Editor: Jason Alcorn

    Associate Metrics Editor: Tim Cigelske

    Reader Advisory Board

    Chair: Anika Anand, Seattle Times Edu Lab

    Brian Boyer, NPR

    Clare Carr, Parse.ly

    Anjanette Delgado, Gannett

    Hannah Eaves, consultant, Gates Foundation

    Alexandra Kanik, Ohio Valley Resource

    Ian Gibbs, Data Stories

    Lindsay Green-Barber, The Impact Architects

    Celeste LeCompte, ProPublica

    Alisa Miller, PRI

    Connect with MetricShift

    Facebook group: Metrics & Impact

    Twitter: #MetricShift

    Email: jason [at] jasalc [dot] com

  • ADVERTISEMENT
  • ADVERTISEMENT
  • Who We Are

    MediaShift is the premier destination for insight and analysis at the intersection of media and technology. The MediaShift network includes MediaShift, EducationShift, MetricShift and Idea Lab, as well as workshops and weekend hackathons, email newsletters, a weekly podcast and a series of DigitalEd online trainings.

    About MediaShift »
    Contact us »
    Sponsor MediaShift »
    MediaShift Newsletters »

    Follow us on Social Media

    @MediaShiftorg
    @Mediatwit
    @MediaShiftPod
    Facebook.com/MediaShift