Insights on Internet Attention

Insights on Internet Attention

We measure how users spend time on the web. Using a massive dataset of Internet attention which covers over 1 billion devices/browsers per month, we reveal the content insights behind 90 billion monthly user interactions. Every single piece of content is tracked and analyzed, with engagement rolled up at the aggregate and anonymous level. This is what we've learned. Read more about us at http://parsely.com.

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Andrew Montalenti

December 01, 2017
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  2. 90B+ user interactions per month 1B+ unique web/mobile visitors per

    month 500B+ page views per year 2,500+ top-tier domains Traffic from search, social, and others Content publish time and topic
  3. What is the lifespan of an online post?

  4. Article’s lifespan: amount of time it takes for an article

    to receive 90% of all its views within a 30-day window.
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  6. What time of day do people read content online? REPORT

    PERIOD JUNE - AUGUST 2014
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  10. Is Facebook the new Google for news sites? REPORT PERIOD

    APRIL 2012 - JULY 2015
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  12. 2015: Facebook Pulls Ahead of Google as Top Traffic Source

  13. 2016: A Traffic Duopoly Emerges

  14. Does early attention predict eventual social lift?

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  16. Do readers enjoy long-form on mobile? IN PARTNERSHIP WITH PEW

    RESEARCH REPORT PERIOD SEPTEMBER 2015
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  19. Does traffic vary by topic? REPORT PERIOD JANUARY - DECEMBER

    2016
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  23. Does bounce rate always matter? REPORT PERIOD MARCH - OCTOBER

    2017
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  27. How are Facebook and Google doing in 2017? REPORT PERIOD

    JANUARY - OCTOBER 2017
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  31. Moving to Prediction

  32. Can Internet attention predict public opinion?

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  36. Can Internet attention predict a film’s revenue?

  37. Weekly Unique Views for Movies by Studio 4M 3M 2M

    1M APR 2016 JAN 2016 Walt Disney Paramount Pictures JUL 2016 OCT 2016 JAN 2017
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  40. 600k 500k 400k 300k 200k 100k 10k 20k 30k 40k

    50k 60k 70k Cumulative Box Office Gross Revenue Print Ad Cost in US $ 600k 500k 400k 300k 200k 100k Cumulative Box Office Gross Revenue Negative Cost in US $ 50k 100k 150k 200k 250k 200k 600k 500k 400k 300k 200k 100k 400k 600k 800k 1M Cumulative Box Office Gross Revenue Unique Views 0.955 Pearson Correlation Coefficient when excluding PG rated movies Movies rated PG Movies not rated PG 0.474 Pearson Correlation Coefficient when excluding PG rated movies 0.829 Pearson Correlation Coefficient when excluding PG rated movies Revenue Compared to Unique Views for Related Web Posts 3 Days Prior to Release Revenue Compared to Print Ad Cost in US $ Revenue Compared to Production Cost in US $ Total unique views for posts related to a movie three days prior to its release has the highest correlation with revenue compared to production cost and advertising budget.
  41. 200k 600k 500k 400k 300k 200k 100k 400k 600k 800k

    1M Cumulative Box Office Gross Revenue Unique Views 0.955 Pearson Correlation Coefficient when excluding PG rated movies Movies rated PG Movies not rated PG Revenue Compared to Unique Views for Related Web Posts 3 Days Prior to Release
  42. We measure how users spend time online. There is much

    to learn from this data. BROWSER SESSIONS MOBILE INTERACTIONS WEB CRAWL DATA ON PAGES TRAFFIC SOURCES VIEWS, VISITORS, AND TIME SOCIAL SHARING ACTIVITY
  43. hello@parsely.com @parsely blog.parsely.com