Credibility over reach: what experts should measure on LinkedIn

The problem with optimising for reach

Platform analytics put impressions and followers first, because that is what platforms sell. If you optimise for them, you gradually become whatever the algorithm rewards: broader topics, stronger hooks, more controversy, less depth. For an expert, that trade is usually bad. It brings attention from people who will never hire you, invite you or buy from you, and it erodes the precision that made you credible.

Four layers of response

• Attention: impressions and reach. Distribution happened.
• Resonance: saves, substantive comments, shares and repeat engagement. It was valuable to someone.
• Authority: the right audience repeatedly associating you with a topic. Positioning is forming.
• Opportunity: direct messages, introductions, clients, speaking invitations, job conversations. Reputation is converting.

Each layer outweighs the one below it. A post with modest reach that leads to two thoughtful conversations with your target audience did more for your strategy than a post that went far and produced nothing else.

Normalise before you compare

Raw numbers mislead because reach varies with time, format and luck. Compare rates instead of totals: comments per thousand impressions, saves per thousand, profile visits per post. Compare like with like, by territory and format, and only across enough posts to see a pattern. Two or three posts are an anecdote, not evidence.

Track opportunities by hand

The most valuable signals never appear in analytics. Keep a simple log of inbound questions, introductions, invitations and leads, with the date and the topic that triggered them. Over a few months this log tells you more about your actual reputation than any dashboard.

What to do when the signals disagree

• High reach, low resonance: the topic travels but is not valued. Do not chase it.
• Low reach, high resonance: the right people care. Keep going and improve distribution.
• Strong interest where your depth is thin: learn and build proof before publishing more.
• Response in a topic you chose to avoid: decide deliberately whether to adapt, rather than drifting.

The point of measuring

Measurement exists to improve decisions: which territories to grow, which to reduce, what to learn next. Traction is feedback, not the goal. If a metric would tempt you to write something you would not stand behind, it is measuring the wrong thing.

Signals worth logging

• A comment that adds an argument, a counterexample or a question from your target audience.
• A save or share from someone in a role you want to reach.
• A repeat reader: the same senior person engaging across several posts.
• Profile visits followed by a connection request with a note.
• Any inbound message that starts with "I read your post about…".

A fifteen-minute weekly review

1. List what you published this week and the territory each piece belongs to.
2. For each, note resonance (saves, substantive comments) and any opportunity it triggered.
3. Compare the territory mix you published with the mix your strategy intended.
4. Write one sentence on what you learned and one on what to change next week.
5. Do not change your positioning based on a single week. Look for patterns over a month or more.

Why benchmarks mislead

Average engagement rates published online mix creators, companies and experts across every industry. An expert writing for a narrow senior audience will often see lower reach and higher value per reader. Compare yourself with your own history in the same territory, not with someone else’s numbers.