li-audit

1# li-audit
2 
3The only honest source of what works for an account is that account. Every
4rule in every LinkedIn guide, including the ones in this pack, is a prior. The
5user's own last 30 posts are the evidence.
6 
7## Input
8 
9Ask for whichever the user has:
10 
11- The post analytics export (LinkedIn: Analytics -> Content -> Export). CSV.
12- Or a screenshot per post with impressions, reactions, comments, reposts.
13- Or just the posts and their reaction counts, which is enough for a first
14  pass.
15 
16Also read `~/.claude/linkedin/log.md` if it exists, since it records which
17hook formula each post used.
18 
19## What to actually measure
20 
21Raw impressions are the least useful number on the page, because they are
22mostly a function of how many people already follow the user. Compute these
23instead, and show the working:
24 
25| metric | how | what it tells you |
26| --- | --- | --- |
27| **Engagement rate** | (reactions + comments + reposts) / impressions | whether the post earned its reach |
28| **Comment ratio** | comments / reactions | whether it started something or just got a nod |
29| **Reach multiple** | impressions / follower count | whether it travelled past the existing audience |
30| **Save/send rate** | if available | the strongest single predictor of future reach |
31 
32Rank by engagement rate and reach multiple, not impressions. A post with 900
33impressions and 40 comments beat the one with 12,000 impressions and 6.
34 
35## Then find the pattern
36…