li-audit

# li-audit The only honest source of 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 30 posts are the evidence. ## Input Ask for whichever the user has: - The post analytics export (LinkedIn: Analytics -> Content -> Export). CSV. - Or 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/linkedin/log.md` if it exists, since it records which hook formula each post used. ## What to actually measure Raw impressions are the least useful number on the page, because they are mostly a function of how many people already follow the user. Compute these instead, and show the working: | metric | how | what it tells you | | --- | --- | --- | | **Engagement rate** | (reactions + comments + reposts) / impressions | whether the post earned its reach | | **Comment ratio** | comments / reactions | whether it started something or just got a nod | | **Reach multiple** | impressions / follower count | whether it travelled past the existing audience | | **Save/send rate** | if available | the strongest single predictor of future reach | Rank by engagement rate and reach multiple, not impressions. A post with 900 impressions and 40 comments beat the one with 12,000 impressions and 6. ## Then find the pattern With the top 5 and bottom 5 side by side, look for what actually se...