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LinkedIn rolls out Pulse Analytics for blog authors

LinkedIn has started to roll out full analytics and statistics on your posts made on its blogging platform Pulse.



If you don't yet have access to your stats, or are not yet blogging on LinkedIn, take a look at some of the analytics data available based on some of my recent posts:

Firstly, you can choose any of your past posts to look at, with stats going back up to 6 months on the view graph (although data is held for older posts). You can mouseover specific days to get the actual viewing figure, and can of course see patterns for evergreen content, or when you have shared into a group brings figures back up for an older post.

You can see a performance summary of views, likes, comments and shares, and scrolling further down the page, see which LinkedIn members have viewed, liked, commented and shared - a great way to say thanks, and to note who's being generous with their love for your work.

The demographics element further down the page provides fascinating insight - although the demographics don't cover every viewer, only logged in Linkedin members, you can see what kind of audience is looking at your work.

Looking closely above, I never knew I was so popular in Oregon, but I can see for the post detailed that the main traffic came from sharing the article in groups, with only a relatively small boost coming from being featured on the LinkedIn Pulse channel 'LinkedIn Tips'. On other posts, being featured in LinkedIn Pulse has been the main driver.

For older articles, my traffic has come largely from Google Search as shown below - which is another good reason I choose headlines with care and ensure I use language and terms I want to be associated with. SEO 101.

For the last illustration here, I can see exactly who has commented on a specific post, and can visit their profile, or if they are already in my network, send a message directly from the analytics page.

I got a lot of traffic from Paris here because I was writing about an issue to do with French law. Quite why it fascinated so many people in Chicago, I can only guess - but knowing who shared on other articles lets me see who perhaps I should connect with in future.

All of this provides me with useful and actionable information:

  1. I can see the audience I am reaching by industry, location and even job title, and see if it aligns with who I am trying to reach
  2. I can see where traffic is being driven from and see where I can try to stimulate more traffic
  3. I can see patterns of visit behaviour, and act to share further when traffic starts to tail off
  4. I can engage with and thank the people who have read, liked, commented on or shared my work easily


Thanks, LinkedIn!

What interesting insights or surprises have you discovered from looking at your analytics?