Blogs Get Most Views on Mondays, Most Comments on Saturdays
A recent roundup of information put together by KISSmetrics highlights the significance of timing for blogs. Among the information included are the pros and cons of posting during high-activity hours and low-activity hours, along with when blogs gets the most views, comments and links.
For blog post submissions during high-activity hours (daytime), the pros are more visitors, and more comments and engagement. The cons are that the content gets buried by other posts and loses prominence due to noise, and higher bounce rates due to noise.
For post submissions during low-activity hours (nighttime), the pros are less noise and more prominence, and easier front-page promotion. The cons are fewer visitors, and fewer comments and engagement.
KISSmetrics also notes that the morning is when blogs get the most readers, as 70 percent of users say they read blogs (among other times) in the morning.
Also, the roundup, titled “The Science of Social Timing Part 3: Timing and Blogging,” notes that a higher percentage of men read blogs in the evening and night.
The average blog gets the most traffic on Monday, but gets the most comments on Saturday.
The roundup also notes that the average blog gets the most traffic around 11 a.m. and the most comments around 9 a.m.
KISSmetrics also notes that the average blog gets the most inbound links on Monday and Thursday, and around 7 a.m.
Also, if a blog posts more than once per day, the chances of getting more unique views and inbound links rises.
The roundup highlights the finding that as the number of posts per day increases, the number of unique views per month also increases.
The data used by KISSmetrics came from Dan Zarrella, Search Engine Land and HubSpot.
A recent blog post from HubSpot shares the finding that there is no correlation between the number of comments on a blog post and the number of views that posts gets.
“There’s also no correlation between comments and the number of links that post got. There is some positive correlation between views and links,” writes Zarrella.
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