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LinkedIn engagement rate calculator
Calculate a LinkedIn post’s engagement rate from impressions: reactions, comments, reposts and clicks.
How to measure LinkedIn engagement and compare posts fairly
LinkedIn shows an engagement rate in Company Page analytics, but for personal posts it gives you the parts (impressions, reactions, comments, reposts and, depending on the post, clicks) and leaves the division to you. The calculator uses the common version: all engagements divided by impressions.
With the defaults, 150 reactions, 30 comments, 8 reposts and 40 clicks make 228 engagements. On 6,000 impressions that is 3.80%. Leave the clicks out and you get 188 engagements and 3.13%, which is closer to what tools that only see public numbers will report.
Impressions count every time the post is shown, so one person who sees it twice counts twice. Post analytics also show members reached, the number of unique people who saw it. Dividing by members reached gives a higher rate: 228 engagements on 4,000 members reached is 5.70%. The table compares the three bases.
The comments share line is useful on LinkedIn. With the defaults, 30 of the 228 engagements are comments, or 13.16%, and there are 5 comments per 1,000 impressions. A post that starts a real discussion shows both numbers rising together; one with many reactions and few comments was liked but did not start a conversation.
Formats behave differently on LinkedIn. Text posts, document carousels, videos and polls attract different amounts of clicks and comments, so compare a post with others in the same format, and use the median rate over a month rather than one post. Keep company Page posts and profile posts apart too, and leave sponsored impressions out of organic comparisons: paid distribution adds impressions from people who did not choose to follow you, which usually lowers the rate.
If you post on LinkedIn to win clients or job offers, engagement rate is only part of the picture. Profile views, connection requests and messages after a post show whether the right people saw it, and they often matter more than the rate itself.
| Divide by | Value | Engagement rate |
|---|---|---|
| Impressions | 6,000 | 3.80% |
| Members reached | 4,000 | 5.70% |
| Followers | 10,000 | 2.28% |
How it works
LinkedIn engagement rate = (reactions + comments + reposts + clicks) ÷ impressions × 100. The numbers are in each post’s analytics.
Comments carry the most weight on LinkedIn; a post that sparks discussion keeps reaching new people.
Compare your posts over a month rather than judging a single post.
Questions
Impressions or followers?
Use impressions for posts: they show how many people saw it. Followers suit account-level comparisons.
Do reactions types matter?
All reactions count the same in this calculation. Comments and reposts matter more for reach.
What is a good engagement rate on LinkedIn?
It depends on your audience, format and network size, so a universal benchmark is not reliable. Track your own median by impressions over a month and aim to raise it, comparing posts of the same format.
Should my own replies count as comments?
LinkedIn includes your replies in the comment count. For an honest rate, subtract your own replies, or at least treat comment counts on posts where you replied to everyone with care.
Should I include clicks in LinkedIn engagement rate?
Include them if you want a figure close to LinkedIn’s own analytics, and leave them out to compare with tools that only see reactions, comments and reposts. Either way, use the same method for every post.
Where do I find impressions for a LinkedIn post?
Below your post, open its analytics. It lists impressions, members reached and each type of engagement. Use the figures at the same point in time, for example a week after posting, when you compare posts.
What is the difference between impressions and members reached on LinkedIn?
Impressions count every time the post was shown, so one person seeing it twice counts twice. Members reached counts unique people. A rate by members reached is therefore higher than a rate by impressions for the same post.