LinkedIn Business Pages offer insights about the company’s employee network but nothing about its followers other then viewing their public profiles if not connected. LinkedIn is expected to roll out analytics for followers ‘soon’ as customer service said: ’… about the analytics page, this feature should be coming out very soon. I appreciate your patience in the meanwhile‘.
The current stats for a company’s employees offer info like:
- previous company
- who has the most recommendations in the network
- ex employees and their former positions
- shows you how connected you are with the company’s network of employees
- what other companies do visitors view (nice way to spot competition)
Meanwhile, I still wanted to find out who the followers are for the company I’m working for, where they work, live, if they coincide with the employees or not and so on.
So I set out to scrape data off their profiles and use it as raw data for a network visualisation. The recipe is:
Google Drive (maiden name Docs) does the magic for you. Open a new spreadsheet, paste the links to the public profiles of the people you want to know more about in a column and the next columns will be the where the data is pulled in.
If you are signed in to Linkedin.com, you can see the name and full LinkedIn profile of the members who are in your network. You can only see a shortened profile without name for the members who are out of your network. You can also see the email address of your 1st degree connections.
So you can collect the information what you can see on your networks profile. I understand that you are the admin for your company page, however, the profile visibility will remain the same.
Raw data. I had an attempt to visualise my data with Tableau Public. It produces interactive data visualisations, allowing the user to play with the data filters. However I found this platform a bit clunky and it would’ve taken me more time to figure out how to use it then to actually do the work. I felt they have a strong, passionate community very eager to help.
Something interesting I did with the job descriptions I scraped was running the text through this keyword density checker.
Uses.If you have the patience to use it, it gives a real knowledge of the networks you are probing, helps identify the key influencers (number of connection, recommendations), it unearths trends (people leaving one company for another) and many more depending on what you set out to do.