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
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.
6. What time of day do people read content online? REPORT PERIOD JUNE - AUGUST 2014
10. Is Facebook the new Google for news sites? REPORT PERIOD APRIL 2012 - JULY 2015
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?
16. Do readers enjoy long-form on mobile? IN PARTNERSHIP WITH PEW RESEARCH REPORT PERIOD SEPTEMBER 2015
19. Does traffic vary by topic? REPORT PERIOD JANUARY - DECEMBER 2016
23. Does bounce rate always matter? REPORT PERIOD MARCH - OCTOBER 2017
27. How are Facebook and Google doing in 2017? REPORT PERIOD JANUARY - OCTOBER 2017
31. Moving to Prediction
32. Can Internet attention predict public opinion?
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
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