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Know your numbers

Your top LinkedIn post is a clue, not a content strategy

A post-review worksheet that separates observed performance from explanations. Find a useful follow-up without copying your biggest outlier.

The short answer

Review a top post beside an ordinary post and a quiet post. Keep topic, format, observation age and audience context visible. Choose one difference to test next; a ranked list alone cannot establish why a post performed well.

What you’ll take away

  • Rank by the metric that fits your question.
  • Compare posts at similar observation ages when possible.
  • Repeat a useful idea, not a promised outcome.

Define “top” before opening the list

Your most-commented post might not have the most reactions, and neither necessarily produced your most valuable conversation. Pick a lens: comments for discussion, measured exposure for distribution, or a verified customer outcome for acquisition.

Wrapped.li can highlight observed public activity within its sample. It cannot infer private sales or impressions from a public post. If your recap ranks reactions plus comments, keep that exact definition when describing the winner.

Review three posts instead of worshipping one

Choose a standout, a post near your median and a quiet post. Read them without their counts first. Write what a reader could actually use. Then reveal the counts and ask which explanations are still plausible.

ObservationRecord for each post
Topic and promiseWho is this for, and what does it help them do?
Format and lengthText, image, document or video; approximate reading effort
SpecificityConcrete example, evidence, instruction or opinion
ConversationWhat did substantive replies add?
Timing and agePublication date and when counts were observed
Distribution contextKnown mentions or shares; unknown factors stay unknown

Worked example: the document did not win by itself

Imagine a document post with 90 responses, a text post with 12 and another document with 8. The strong document explains a customer onboarding checklist; the others are general reflections. “Documents work” ignores the second document and the difference in usefulness.

A narrower hypothesis is: “A concrete onboarding checklist may be more useful to my current audience than a general reflection.” A follow-up could share one checklist step as text. That tests the idea with fewer moving parts than publishing a completely different document on a different day.

Check whether a few posts carry the whole total

If your top group contributes most observed response, a total can conceal a very uneven year. In Wrapped.li’s concentration card, the top decile is rounded up to whole posts: for 11 measured posts, the top two are used. Read the label rather than assuming exactly one tenth of a post count.

Concentration can suggest dependence on a few standouts. It does not prove those posts are reproducible, and it should not turn the remaining posts into failures. Some quiet posts answer a question for a small but relevant audience.

Turn the review into a small follow-up

Write one hypothesis and choose an outcome you can actually observe. For example: “A worked onboarding example will produce more substantive questions than a general opinion.” Keep a short qualitative note alongside public counts.

Set a review date and retain the original post link. If the follow-up is quieter, inspect the conversation before abandoning the idea. One pair of posts cannot isolate causality, but it can teach you which question to explore next.

Sources & product references

Product details reflect the publication date. External features and interfaces may change.

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Wrapped.li editorial

Product guidance from Wrapped.li. Numerical examples are illustrative, not customer results. LinkedIn is a separate company.