Part A

Metrics that matter

Not all numbers are signals. These ten are the ones that tell you whether the strategy is working — and which lever to pull next.

Engagement rate

Likes + comments + reposts divided by impressions. The clearest signal of whether content resonates with the audience that actually saw it.

Follower growth rate

Week over week and month over month. Measures whether the strategy is expanding reach, not just maintaining it.

Profile views

A spike after a post means someone wanted to know more. That's the highest-intent signal content can produce.

Post reach / impressions

How many unique accounts the algorithm exposed the content to. Tracks distribution independently of engagement.

Comment quality

Not just how many, but how deep. A comment that names a specific pain point is worth more than twenty emoji reactions.

Click-through rate on links

When links go in the first comment, the ratio of clicks to impressions. Measures bottom-of-funnel intent from readers who wanted to go further.

Best performing format

Text vs. carousel vs. video. If one format consistently outperforms the others 3x, that's a format signal — not a topic signal.

Best performing day / time

When engagement peaks relative to posting time. Track over 4–6 weeks minimum before drawing any conclusions from the pattern.

Connection acceptance rate

Requests sent vs. requests accepted. A direct proxy for whether the ICP targeting and connection message are landing.

Newsletter open rate

If applicable. The LinkedIn B2B benchmark is 35–40%. Below that, revisit the subject line and content mix before the next edition.


Part B

How to iterate

The metrics tell you what happened. These five rules tell you what to do about it.

01

Review every 3–4 weeks, not daily

Short-term noise doesn't reveal patterns. One post underperforming is not a strategy problem — it's one data point. The signal only emerges across a set of posts reviewed together. Daily check-ins create anxiety, not direction.

02

Double down on format, not just topic

If carousels consistently outperform text posts by 3x, that's a format signal. Before changing what you write about, change the medium you're using to say it. Most creators never isolate this variable — and spend months improving the wrong thing.

03

Kill what doesn't work — after a fair test

Define "fair" before you start: minimum 4–6 posts in a format before drawing conclusions. One post is not a test. But once the sample is there and the signal is clear, cut it. Sunk cost is what keeps most people posting into a void.

04

A/B test hooks, not full posts

Change one variable at a time. If you change the hook, the topic, and the format in the same post, you learn nothing. Isolate the hook — it's where 80% of the outcome is determined anyway — and hold everything else constant.

05

Revisit your ICP definition quarterly

Audiences shift. The person who was your ideal client a year ago may now be thinking about entirely different problems. If engagement drops without a clear format or topic cause, the first thing to check is whether the content is still pointed at the right person — not whether the writing got worse.

The review cycle isn't overhead — it's the work. Without measurement, consistency is just noise at volume.