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THE AUTHORITY REPORT What is the Lifespan of an Article? Media producers work hard to create stories that audiences will want to read and share online. To do that well, you have to not only produce interesting and unique articles, you also have to work against the clock. The pace of digital publishing means that readers’ attention moves on quickly to the next and newest piece. In short? Your articles have a shelf life. How long can you reasonably expect people to keep finding an article? Understanding baseline standards for a post can help you determine when one does better than expected. We looked into our network of hundreds of media sites to see if we could find out what makes a story last. We found that most posts have a shelf life of 48 hours or 2 days, with the median stretching out to about 2.5 days. THE AVERAGE LIFE EXPECTANCY OF A POST SEE PAST REPORTS AND SUBSCRIBE TO FUTURE RELEASES WWW.PARSELY.COM/AUTHORITY FOLLOW US ON TWITTER @PARSELY Our Methodology: We selected the top 5,000 articles from each publisher in our network based on traffic and calculated how long it takes for each article to receive 90% of its total page views within a 30-day limit. lifespan analysis report period SEP – NOV 2014 LIFESPAN IN DAYS 25% 20% 15% 10% 5% 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 Half had longer lifespans Half had shorter lifespans ARTICLES 25% 20% 15% 10% 5% 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 ARTICLES LIFESPAN IN DAYS We also looked at posts that do well on social networks (more than 20% of all referrers being social) and found that most posts that do well in social make it to the third day, the median lifespan extending to 3.2 days. ARTICLES DOING WELL ON SOCIAL MEDIA

The Data Behind the Average Article Lifespan / Parse.Ly

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Page 1: The Data Behind the Average Article Lifespan / Parse.Ly

THE AUTHORITY REPORTWhat is the Lifespan of an Article?

Media producers work hard to create stories that audiences will want to read and share online. To do that well, you have to not only produce

interesting and unique articles, you also have to work against the clock. The pace of digital publishing means that readers’ attention moves on

quickly to the next and newest piece. In short? Your articles have a shelf life.

How long can you reasonably expect people to keep finding an article? Understanding baseline standards for a post can help you determine

when one does better than expected. We looked into our network of hundreds of media sites to see if we could find out what makes a story last.

We found that most posts have a shelf life of 48 hours or 2 days, with the median stretching out to about 2.5 days.

THE AVER AGE LIFE E XPEC TANC Y OF A POST

SEE PAST REPORTS AND SUBSCRIBE TO FUTURE RELEASES W W W.PARSELY.COM/AUTHORIT Y

FOLLOW US ON TWITTER@PARSELY

Our Methodology: We selected the top 5,000 articles from each publisher in our network based on traffic and calculated how long it takes for each article to receive 90% of its total page views within a 30-day limit.

life spa n a n a lysis rep or t period

SEP – NOV 2014

LIFESPAN IN DAYS

25%

20%

15%

10%

5%

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20

Half had longer lifespansHalf had shorter lifespans

ARTICLES

25%

20%

15%

10%

5%

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20

ARTICLES

LIFESPAN IN DAYS

We also looked at posts that do well on social networks (more than 20% of all referrers being social) and found that most posts that do well in social make it to the third day, the median lifespan extending to 3.2 days.

ARTICLES DOING WELL ON SOCIAL MEDIA

Page 2: The Data Behind the Average Article Lifespan / Parse.Ly

THE AUTHORITY REPORT

COMPARING SOCIAL NET WORKS

Individual Sites: Individual Data While we look for network-wide trends to give the industry a sense of the 10,000 foot view when it comes to averages, one of the recurring themes in all of our data studies is how much each individual publication can vary from the trend. As publishers continue to find ways to provide unique value for their audiences, what will be the role of aggregate data in the future? Having unique site data will be crucial for good decisions.

www.parsely.com

life spa n a n a lysis rep or t period

SEP – NOV 2014

THE LONGEST LIFESPAN: E VERGREEN ARTICLES

There are certain articles that defy this lifecycle completely, lasting much longer than would typically be expected—we classify these as “Evergreen” articles. Given the ability of evergreen articles to generate meaningful traffic well beyond their publish dates, we encourage publishers to be aware of which articles fall into this category.

How many Evergreen articles exist on a site? In a July 2014 study, we found that the largest proportion of our top 100 sites in the Parse.ly network had less than 5% of their posts classified as Evergreen.

TO P 10 0 PUB LIS HERS O N THE PA R S E . LY NE T WO R K

PERCENTAGE OF EVERGREEN ARTICLES30%25%20%15%10%5%

NUMBER OFPUBLISHERS

ARTICLES DOING WELL ON

MEDIAN LIFESPANOF ARTICLES

MEDIAN LIFESPANOF ARTICLES

ARTICLES DOING WELL ON

Twitter's reputation as a platform for breaking news and quick attention spans is supported by our analysis.

Page 3: The Data Behind the Average Article Lifespan / Parse.Ly

40%

30%

20%

10%

0

*GOOGLE SITES

FACEBOOKYAHOO!

TWITTER

BING

*NEWS SITES

DRUDGEREPORTREDDIT

*RSS READERS

NEWSNOWPIN

TEREST

AOLZERGNET

MSNLIN

KEDIN

SOCIAL

AGGREGATORS

RSS

SEARCH

NEWS SITES*

OTHER

41%

36%

18%

3%1%<1%

BYCATEGORY

THE AUTHORITY REPORT top referr al sources

TOP TR AFFIC REFERR AL SOURCES

FACEBOOK APP UPDATES

In each Authority Report , we show the top referral sources to our network. Each of these shows a snapshot of the traffic to our network in time and reflects both industry trends and shifts in our publishing clients. With the addition of one of the world’s largest search-based site to Parse.ly, we saw our Google numbers climb again, but we also saw Facebook continue to increase as a dominant source.

*google sites: aggregate all of Google-owned properties, e.g. Google.com, Google.ca, and Google News.

*news sites: We calculate News Sites using 100 of the top news websites ranked by Comscore, Alexa rankings, and other social media data sources, like Newswhip.

*rss readers: all external traffic from RSS reader services such as Feedly.com

Though Facebook appears to have taken another jump (our final 2014 Authority Report showed 22% referral traffic from the commanding social media platform), some of the increase may be due to a correction Facebook made to their app traffic. We will continue investigating the impact of these changes on traffic in a future blog post.

referrer a n a lysis period

JAN – FEB 2015

iOSAndroid30%

25%

20%

15%

10%

5%

0%% O

F D

AR

K R

EFER

RER

S

SEP 2014

OCT NOV DEC JAN 2015

Facebook app v18 (iOS)

Facebook app v24 (Android)