open/linkedin-studio
1
0
Fork 0
Code Issues Releases 1 Activity

refactor(linkedin-studio): S31a multiplier-scrub (reference-docs) — unsourced "Nx" reach/format multipliers -> SSOT

Browse source 
Hardening, multiplier class (S31, batch a). Surgical SSOT-reconciliation of
unsourced "Nx" reach/format/growth multipliers asserted as fact in 7 reference
docs. Same discipline as S27/S28/S30: read-and-show -> grep-confirm -> re-grep
final; 8-step interactive gate; operator-approved catalog before edit.

26 edits / 7 files (+32/-32):
- collaborations-guide (10): 10x reach (:3,:476), 2-3x normal (:32), and the six
  per-format "Reach multiplier: Nx" fields (:165/:187/:210/:235/:252/:277) +
  the label-only :292 (no number) folded in for consistency -> "Reach:" with
  directional, no-reliable-multiplier wording.
- linkedin-growth-playbook (10): 3x faster growth (:57/:132), 1.6x reach (:175),
  1.4x engagement (:205), 1.64x poll (:234), the format-multiplier list
  (:246-251 -> SSOT format ranking, numbers dropped), 3.6x respond (:386),
  3x engagements (:422), 5.6x follower growth (:493), 40x search (:636).
- poll-strategy-guide:7 (1.64x), articles-strategy-guide:28-29 (2-3x/10x),
  video-strategy-guide:308 (2-3x distribution), ab-testing-framework:49
  (1.17x-1.6x format multipliers), trajectory:40 (2-3x saves) + :85 (3x).

Vocabulary 1:1 with S30: "tend to / more reach (multiplier unverified)",
"no reliable multiplier", format ranking kept + number dropped -> cite SSOT.

KEPT INTACT: SSOT-backed engagement-order multipliers (save ~= 5x a like,
quality comment ~= 2x a like, ~= 1x baseline). OUT of scope (untouched):
frequency counts (5x5x5, Nx/week), pixel dims, pricing/size-ratio multipliers.

SURFACED -> S31c (descriptive-% subpass, not edited here): growth:58 (130%
follow), growth:177/178 (Buffer 178%/247%), trajectory:39 (30-40%). Flagged
as absolute-figure class outside S31: growth:421/423. Sourcing overclaim to
revisit: growth:492 "Official LinkedIn data".

VERIFY: re-grep residual targets in 7 files -> 0; routed siblings + KEEP intact;
gate scripts/test-runner.sh = 81/0/0 exit 0, counts 29/19/26 + v0.5.0 unchanged.

Push held: origin = open/ (public namespace), STATE.md must not go there;
parked arrow is all-or-nothing pending STATE-placement fix.

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 09:29:25 +02:00
commit 35ed480e5a
7 changed files with 32 additions and 32 deletions
Download patch file Download diff file Expand all files Collapse all files

30
references/linkedin-growth-playbook-2025-2026.md
View file

@ -54,7 +54,7 @@ Complete reference guide for growing from hundreds to thousands of engaged follo
How long users spend viewing content with at least 50% visible on screen. LinkedIn found "skip threshold" exists—content viewed briefly is considered skipped.
**Critical stats:**
- Posts that get saved: **3x faster audience growth**
- Posts that get saved: **faster audience growth** (multiplier unverified — saves top the engagement order; see `references/algorithm-signals-reference.md`)
- Users who save your content: **130% higher chance of following you**
- Only ~3% of posts reach save-worthy status
@ -129,7 +129,7 @@ The advantage isn't a formal "boost" with a cliff — it's a window where consis
| Formats | Stick to text | Mix text + carousels + images | Algorithm maps format preferences faster |
| Profile | Optimize gradually | Complete on day 1 | Every visit during high-distribution period should convert |
| Engagement | 5-10 comments/day | 15-20 comments/day | Maximize visibility while algorithm surfaces you |
| Saves | Nice to have | Critical metric | Saves drive 3x faster audience growth — front-load save-worthy content |
| Saves | Nice to have | Critical metric | Saves drive faster audience growth (figure unverified) — front-load save-worthy content |
**What Happens After 90 Days:**
@ -172,7 +172,7 @@ LinkedIn removed hashtag following, hashtag pages, and "Talks About" sections in
### Carousel Posts (PDF Documents)
**Performance:**
- **1.6x more reach** than average posts
- **More reach** than average posts (multiplier unverified — see `references/algorithm-signals-reference.md`)
- Highest engagement ratios of any format
- Buffer experiment: 14,001 impressions vs 5,033 for text posts (178% increase)
- 381 engagements vs 110 for text (247% increase)
@ -202,7 +202,7 @@ LinkedIn removed hashtag following, hashtag pages, and "Talks About" sections in
### Video Content: The Paradox
**LinkedIn's data:**
- 1.4x more engagement than other formats
- More engagement than other formats (multiplier unverified)
- #2 format but **declining** in reach; quality of engagement is debated — add captions, most watch muted (see `references/algorithm-signals-reference.md`)
**Successful creator perspective (Lara Acosta, #1 UK female creator):**
@ -231,7 +231,7 @@ LinkedIn removed hashtag following, hashtag pages, and "Talks About" sections in
### Polls
**Performance:**
- **1.64x reach multiplier** (declining due to overuse)
- **Above-baseline reach, now declining** due to overuse (no reliable multiplier)
- Still generates high impressions but effectiveness declining
- Easy engagement mechanism
@ -243,12 +243,12 @@ LinkedIn removed hashtag following, hashtag pages, and "Talks About" sections in
### Format Performance Summary (2025-2026 Data)
**Reach multipliers:**
1. Polls: 1.64x (declining)
2. Carousels: 1.6x
3. Text: 1.17x
4. Video: 1.4x (but quality of engagement debated)
5. Multi-image: Highest engagement rate for mid-sized accounts
**Format reach (directional — no reliable multipliers; see `references/algorithm-signals-reference.md`):**
1. Documents / carousels — top organic format
2. Multi-image — strong, slightly below documents
3. Text-only — most resilient; best comment quality
4. Native video — #2 but declining
5. Polls — declining effectiveness; audience research only
---
@ -383,7 +383,7 @@ Never "pitch-slap" by sending walls of text promoting services immediately after
- Profile viewers
- Post engagers
- Comment conversation participants
- These warm leads are **3.6x more likely to respond** than cold contacts
- These warm leads are **far more likely to respond** than cold contacts (figure unverified)
**Conversation-starting framework:**
1. Observation about something you noticed
@ -419,7 +419,7 @@ Start professional dialogue, not sales pitch. Build relationships that convert o
**11+ posts weekly:**
- +16,946 more impressions per post
- 3x more engagements
- Markedly more engagements
- +1.40 percentage point engagement rate jump
### Quality Must Remain High
@ -490,7 +490,7 @@ After 90 days consistent posting, analyze YOUR data to identify when YOUR specif
### Consistency: The Algorithmic Recognition Factor
**Official LinkedIn data:**
Companies posting weekly see **5.6x more follower growth** than sporadic posters.
Companies posting weekly tend to see materially more follower growth than sporadic posters.
**Why it works:**
- Algorithm identifies consistent posters as "active users"
@ -633,7 +633,7 @@ Multiple creators generated **300-400 additional followers in two weeks** from t
**Why it matters:**
- Algorithm uses headline heavily in search rankings
- **Profiles with keyword-optimized headlines appear 40x more frequently** in search results when fully complete
- **Keyword-optimized headlines surface more often** in search results when fully complete (figure unverified)
### About Section: 2,600 Characters, First 3-4 Lines Critical