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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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
   

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3. What is the lifespan of an online post?
   

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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
    

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13. 2016: A Traffic Duopoly Emerges
    

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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
    

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32. Can Internet attention predict public opinion?
    

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

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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.
    

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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
    

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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
    

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43. hello@parsely.com @parsely blog.parsely.com
    

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