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refactor(linkedin-studio): S30 magnitude-scrub (discrete-% class) — unsourced reach/engagement penalties -> SSOT

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Hardening-class, NOT re-hardening: surgical SSOT-reconciliation of discrete percentage
penalties/declines stated as fact with no primary source in the SSOT
(references/algorithm-signals-reference.md). Same tool-grounded discipline as S27/S28
(read-and-show -> grep-confirm -> re-grep final). Re-grep surfaced drift + same-class siblings
beyond the plan's stored list; all surfaced and operator-approved before edit.

Scope: the discrete-% reach/engagement-penalty class only. The unsourced "Nx" reach/format
MULTIPLIER class (~50 instances across ~15 files) is a separate, larger pass -> deferred to S31
(operator: run everything, across multiple sessions).

HARDEN (20 edits, 7 files):
- linkedin-formats.md (5): :6 47-50% decline + :7 15%->31% feed-share -> directional; :176
  AI-comment 30%/55% -> ~45% less engagement (correlational, medium); :231/:279 hashtags -68%
  -> diminishing returns, no discrete figure.
- linkedin-growth-playbook (6): :158 47-50% decline (twin of formats:6) + :166 hashtags -68%
  + :224/:225 post-length 25%/32% + :435/:828 posting-frequency 25% -> directional, no
  discrete figure. (:221 1.17x multiplier folded in per operator approval; the rest of the
  multiplier class -> S31.)
- glossary.md (2): :91 engagement-bait -30-50% + :235 topic-gap -15-25% -> "correlate with
  lower reach, no discrete figure".
- engagement-coach.md (2): :195 55% + :455 -30%/-55% AI-comment -> ~45% less engagement
  (correlational), actively suppressed.
- post-feedback-monitor.md (1): :330 -25%/post -> "tends to split your own audience".
- ab-testing-framework.md (1): :66 hashtags -68% -> no discrete figure.
- poll-strategy-guide.md (2): :20 / :205 poll-overuse penalty -> declining effectiveness
  (directional).

KEPT INTACT (operator-locked / different class): engagement-pod + AI-slop suppression framing
(SSOT high-confidence); firsthour:112 (no number); poll:206 / poll:3 (qualitative); growth:567
conversion-rate; formats:268 list item.

VERIFY: discrete-% penalty/decline class re-grep across the 7 files -> NONE; leave-items intact;
bash scripts/test-runner.sh -> Passed 81 / Failed 0 / Warnings 0, exit 0; counts 29/19/26/6 +
v0.5.0 unchanged (.md prose only). Disposition: FIXED (20 edits, 7 files), one atomic commit,
local (push held).

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_016qgzo6rxthw7KuxHjn5vyE
This commit is contained in:
Kjell Tore Guttormsen 2026-06-20 09:08:59 +02:00
commit 1bab1d6df1
7 changed files with 20 additions and 20 deletions
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14
references/linkedin-growth-playbook-2025-2026.md
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@ -155,7 +155,7 @@ The difference is between riding a wave (window active) and swimming steadily (p
**What this means:**
- Platform deliberately designs against virality
- Organic reach declined 47-50% for most creators (2025-2026)
- Organic reach declined sharply for most creators (2025-2026; directional, exact YoY varies by source — see `references/algorithm-signals-reference.md`)
- Success requires understanding how LinkedIn evaluates expertise
- Focus on engagement quality over quantity
@ -163,7 +163,7 @@ The difference is between riding a wave (window active) and swimming steadily (p
LinkedIn removed hashtag following, hashtag pages, and "Talks About" sections in late 2024. Hashtags are now metadata only.
**Best practice:** Use 3-4 relevant hashtags (5+ triggers -68% reach penalty). Focus on keyword-driven SEO throughout content. See linkedin-formats.md for detailed hashtag strategy.
**Best practice:** Use 3-4 relevant hashtags (more shows diminishing returns; no primary source for a discrete figure). Focus on keyword-driven SEO throughout content. See linkedin-formats.md for detailed hashtag strategy.
---
@ -218,11 +218,11 @@ LinkedIn removed hashtag following, hashtag pages, and "Talks About" sections in
### Text-Only Posts
**Performance:**
- **1.17x average reach** for personal profiles
- Solid average reach for personal profiles (directional; no reliable multiplier)
- Excel at generating thoughtful comments
- Optimal length: **1,200-1,800 characters**
- Posts under 1,000 characters: **25% reach penalty**
- Posts exceeding 2,500 characters: **32% underperformance**
- Very short posts tend to underperform (directional; no primary source for a discrete figure)
- Very long posts tend to underperform (directional; no primary source for a discrete figure)
**Mobile cutoff:**
- ~140 characters displayed before "see more"
@ -432,7 +432,7 @@ Start professional dialogue, not sales pitch. Build relationships that convert o
- "Secret to growth hacking on LinkedIn"
**Cautions:**
- Posting twice within 24 hours can reduce reach by 25%
- Posting twice within 24 hours tends to split your own audience (directional; no discrete figure)
- Consecutive posts of same format show decreased performance
- Algorithm learns your posting rhythm
@ -825,7 +825,7 @@ Avoid weekends for B2B content.
### Tactics That Now Hurt Performance
**Excessive posting frequency:**
Multiple times within 3 hours can reduce reach by 25%.
Posting multiple times within 3 hours tends to split your own audience (directional; no discrete figure).
**Link preview cards:**
Significantly reduce distribution. Always remove if including external links. Consider adding links in comments or as text-only format instead.