LinkedIn analytics: which metrics actually matter?

LinkedIn gives you plenty of numbers, and most of them will not change a single decision you make. A useful metric answers one question: should I write more posts like that one? Anything that cannot answer it is entertainment.

Worth tracking

• Median impressions per post. Reach is skewed, so the median describes a typical post while the average describes your luckiest one.
• Comments from people outside your network. These indicate the post travelled, which is the mechanism behind almost all growth on the platform.
• Profile views in the twenty-four hours after posting. This is the closest free proxy for "someone was interested enough to check who I am."
• Follower growth per week, never per post. Individual posts are too noisy to attribute.
• Inbound conversations, if the reason you post is business rather than audience size. One good conversation outranks a viral post that produced none.

Mostly noise

Lifetime impressions, likes from people you speak to weekly, and any single-post spike. They move for reasons you cannot reproduce, and a metric you cannot reproduce cannot guide a decision. Watching them daily also has a real cost: it pushes you toward whatever produced the last spike, which is usually a format rather than a subject you can build on.

Read in windows, not in spikes

Compare a four-week block against the previous four weeks. Single posts vary wildly for reasons that have nothing to do with quality, including who happened to comment in the first ten minutes. Blocks average that out, and a four-week block is short enough that you still remember what you were doing differently.

Group before you conclude

The most useful thing you can do with post-level data is group it: by topic, by format, by whether it told a story or made an argument. "Posts about pricing outperform posts about process by 40 percent over eight weeks" is a finding you can act on for months. "Tuesday's post did well" is not a finding at all.

That grouping is what analytics in Run More Posts does by default, because the grouped view is where the decision lives, and the per-post view is where people go to feel good or bad.