bl-reviewlisted

# bl-review The only honest evidence about what works for an account is that account. Every rule in every LinkedIn guide, including the ones in this pack, is a prior. The user's own last thirty posts are the data. ## Input Whichever the user has: - The analytics export (LinkedIn: Analytics, then Content, then Export). CSV. - A screenshot per post with impressions, reactions, comments, reposts. - Or just the posts and their reaction counts, which is enough for a first pass. Also read `~/.claude/bylinekit/log.md` if it exists, since it records which opener and theme each post used. Without it you are guessing at the cause. ## Rank by rate, never by impressions Impressions measure how many people the feed showed it to, which is mostly a function of when it was posted and who saw it first. It is the least informative number on the page and the one everyone leads with. Rank by: 1. **Engagement rate** = (reactions + comments + reposts) / impressions. This is the number that tells you whether the post was good. 2. **Comment ratio** = comments / reactions. High means it started something. This predicts reach on the *next* post better than anything else. 3. **Reach multiple** = impressions / the user's median impressions. Corrects for an account that is growing. Show the table sorted by engagement rate, with the raw impressions in a column so the user can see the two orderings disagree. They almost always do, and that disagreement is the most useful thing in the aud