LinkedIn analytics tells you impressions, reactions, comments, reposts, profile views and follows per post — and leaves you to work out what to change. The LinkedIn Engagement Analyzer reads the numbers you paste and returns the diagnosis: which formats and topics carry your reach, whether your hooks are earning the stop but not the response, and the three changes to make next.
This guide covers what to paste, how impressions are read against engagement, and why profile views and follows matter more than reactions.
What to paste
Followers, then for each of your last ten to twenty posts: format, topic, impressions, reactions, comments, reposts, and if you have them, profile views and new follows. The report computes rates from what you give and never invents figures; it flags where a missing number would have changed the verdict.
Impressions against response
High impressions with few comments means the hook earned the scroll-stop but the post did not invite a reply — usually a missing or generic question. Few impressions with high comments means the content works but the format or timing is holding it back. The report tells you which pattern each format and topic shows, and which are dead weight.
Rates and the three changes
Comment rate, repost rate and follow rate are judged against what is normal for your follower count. Profile views and follows get the most weight because they are the conversion signals — reactions barely move reach. The report ends with three prioritised changes and how to know within two weeks if each worked.
Tips
- Export from the LinkedIn analytics page rather than retyping; paste the table.
- Include at least one post from each format and pillar so the comparisons are real.
- Re-run after each change; the second report is where the value is.
Common mistakes
- Pasting only the wins — The diagnosis needs the flops to explain the hits.
- Reading reactions as success — They are the weakest signal on the platform.
- Changing five things at once — Make the top change, measure, then the next.
Worked example
Input: 3,400 followers. 12 posts: carousels avg 9k impressions / 22 comments / 40 profile views; text posts 3k / 30 comments / 12 views; polls 14k / 4 comments / 3 views.
What the report returned: Verdict: carousels convert to profile views; text posts earn conversation; polls inflate impressions and convert nothing. Changes: 1) cut polls to one a month; 2) end carousels with the question that text posts already use; 3) move text posts to the carousel posting window.
Frequently asked questions
Does it connect to my LinkedIn account?
No. Paste the numbers; nothing is pulled from your profile.
What if I only have post-level impressions?
It will still diagnose format and topic performance, but comments and profile views give a far better report.
Can it analyse a company page?
Yes — paste the page analytics and say it is a company page; the benchmarks adjust.