refactor(linkedin-studio): S31c descriptive-%-scrub — platform-norm percentages asserted as fact -> SSOT
24 edits / 12 files (+26/-26). Unsourced platform/algorithm/audience percentages reconciled to SSOT vocabulary (figure/proportion/multiplier unverified). Catalog + new sibling clusters (64% follow-up x5, wrong-window 70% x4, Stage-2 6-10% x2) + borderlines (70% retention, 70% mobile) + the ~3% save-worthy straggler (surfaced, not silent). The SSOT-sourced ~70% reach figure is KEPT; only the wrong window corrected (60min/1h -> first 15-30 min). Sourced/computed benchmarks kept (Buffer 178%/247%, Socialinsider 11%). KEPT C1: ~45% AI-comment figure (already hedged correlational/medium-confidence). Gate 81/0/0 exit 0, counts 29/19/26 + v0.5.0. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_016qgzo6rxthw7KuxHjn5vyE
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@ -49,7 +49,7 @@ Help creators:
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- Substantive comments (15+ words) outweigh short ones and rank above plain reactions — but below saves and shares (no fixed comment-vs-reshare multiplier)
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- Posts with 15+ engagements in first hour unlock 2nd/3rd degree distribution
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- Your comments on others' posts expose you to their audience
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- Commenting within 30 minutes of a post = 64% more follow-up engagement on your comment
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- Commenting within 30 minutes of a post tends to earn more follow-up engagement on your comment (multiplier unverified)
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**The insight:** Time spent engaging often returns MORE than time spent creating.
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@ -72,13 +72,13 @@ Help creators:
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### 2. First Hour Strategy
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**Critical context:** First 60 minutes determine 70% of total reach
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**Critical context:** The first 15–30 minutes decide ~70% of total reach (golden window 60–90 min; see `references/algorithm-signals-reference.md`)
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**The sequence:**
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1. **Post** at optimal time for your audience
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2. **Wait 10 minutes** — let organic engagement start
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3. **Add value comment** on your own post (extend the conversation, add resource)
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4. **Respond to EVERY comment** within 30 minutes (64% more follow-ups)
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4. **Respond to EVERY comment** within 30 minutes (more follow-ups — figure unverified)
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5. **Add 2-3 more self-comments** over 90 minutes (spark discussion)
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**Velocity targets:**
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@ -196,7 +196,7 @@ Structure: Connect to their point → Share brief relevant story → Extract the
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### Optimal Comment Windows (CET)
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Commenting within 30 minutes of a post's publication = 64% more follow-up engagement on your comment. Early comments get pinned to the top and seen by the largest audience.
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Commenting within 30 minutes of a post's publication tends to earn more follow-up engagement on your comment (figure unverified). Early comments get pinned to the top and seen by the largest audience.
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| Time Block | Activity | Why |
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|------------|----------|-----|
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@ -310,7 +310,7 @@ Rate each comment before posting:
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| 0 min | Post goes live | - |
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| 10 min | Add value comment | Spark conversation |
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| 15 min | Check for early comments | Respond immediately |
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| 30 min | Respond to all comments | 64% more follow-ups |
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| 30 min | Respond to all comments | More follow-ups (figure unverified) |
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| 45 min | Add another insight comment | Keep momentum |
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| 60 min | Final engagement check | Lock in reach |
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@ -68,8 +68,8 @@ Map the post to its current phase and benchmark against expected performance.
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### The Five Performance Phases
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**Phase 1: The Golden Hour (0-1 hour)**
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- Algorithm decision window — velocity here determines 70% of final reach
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- Post shown to 6-10% of connections (Stage 2 distribution)
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- Algorithm decision window — velocity in the first 15–30 min decides ~70% of final reach
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- Post shown to a small test slice of connections (Stage 2 distribution; proportion unverified)
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- Target: 5+ reactions, 2+ comments in first 60 minutes
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- Critical threshold: 15+ engagements = unlocks 2nd/3rd degree distribution
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@ -227,8 +227,8 @@ Set realistic expectations:
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| Suppression Level | Initial Improvement | Baseline Recovery | Full Restoration |
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|-------------------|---------------------|-------------------|------------------|
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| Moderate (link / off-topic) | 7-10 days | 14-21 days | 3-4 weeks |
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| Moderate (50-70% drop) | 2-3 weeks | 4-6 weeks | 2-3 months |
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| Severe (75%+ drop) | 4-6 weeks | 3-6 months | May not be possible |
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| Moderate (partial reach loss) | 2-3 weeks | 4-6 weeks | 2-3 months |
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| Severe (sharp reach loss) | 4-6 weeks | 3-6 months | May not be possible |
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## Step 8: Prevention Checklist
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@ -212,7 +212,7 @@ Automatically flag these conditions based on the report data and trend analysis:
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- 🟢 **Positive:** Consistent posting streak maintained (7+ days)
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**Algorithm Alerts (based on algorithm-signals-reference):**
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- 🔴 Format stagnation: Same format used >80% of posts (algorithm penalizes monotony per 2026 content format multipliers)
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- 🔴 Format stagnation: Same format used >80% of posts (algorithm favors format variety — see algorithm-signals-reference)
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- 🟡 Posting time drift: Publishing outside optimal window (Tue-Thu, 7-9 AM CET for Nordic audience — see posting time windows reference)
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- 🟡 Hook length violation: Posts with hooks >140 chars underperforming (>140 chars truncated on mobile "see more")
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- 🟢 Engagement velocity improving: First-hour engagement trending up (15+ engagements in first hour unlocks 2nd/3rd degree distribution)
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@ -81,7 +81,7 @@ Pattern: Speak directly to a specific audience
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Analysis of 9,000+ viral posts reveals the science behind what works:
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**Pattern Interrupts:**
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- Viral posts contain **2.7x more pattern interrupts** in first two lines
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- Viral posts tend to open with **more pattern interrupts** in the first two lines (multiplier unverified)
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- Pattern interrupts create information gaps that psychologically demand closure
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- Trigger dopamine release and heightened attention
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- Brain's prediction error system activates when expectations disrupted
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@ -347,7 +347,7 @@ Not all engagement is equal. The defensible spine is the **order**, not a fixed
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### First Hour Critical
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- Aim for 15+ engagements in first 60 minutes
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- Respond quickly to early comments (30-minute response = 64% more follow-up comments)
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- Respond quickly to early comments (a 30-minute response tends to earn more follow-up comments — figure unverified)
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- Seed engagement by notifying key connections
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### Comment Strategy
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@ -122,12 +122,12 @@ LinkedIn's mechanism for validating creator authority: professional history, pos
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## F
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### First-Hour Engagement
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Critical window (0-60 minutes post-publication) determining ~70% of a post's total reach. Requires: 5x5x5 pre-posting engagement, immediate response to first comments (within 5 minutes), and continued engagement through 90 minutes.
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Critical window — the first 15–30 minutes decide ~70% of a post's total reach (golden window 60–90 min). Requires: 5x5x5 pre-posting engagement, immediate response to first comments (within 5 minutes), and continued engagement through 90 minutes.
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**Used in:** `skills/linkedin-studio/SKILL.md`, `references/linkedin-formats.md`, `agents/engagement-coach.md`
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### Four-Stage Distribution Model
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Sequential post distribution: Stage 1 (0-30s: Quality classifier + profile/topic-relevance validation) → Stage 2 (0-90min: Test to 6-10% of connections) → Stage 3 (1-24h: Extended if velocity good) → Stage 4 (24-72h+: Evergreen circulation).
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Sequential post distribution: Stage 1 (0-30s: Quality classifier + profile/topic-relevance validation) → Stage 2 (0-90min: Test to a small slice of connections) → Stage 3 (1-24h: Extended if velocity good) → Stage 4 (24-72h+: Evergreen circulation).
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**Used in:** `references/algorithm-signals-reference.md`
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@ -150,7 +150,7 @@ Opening 110-140 characters of a post that must work standalone on mobile (before
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**Used in:** `references/engagement-frameworks.md`, `skills/linkedin-studio/SKILL.md`, `agents/content-optimizer.md`
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### Hook Psychology
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Neuroscience-backed engagement: Pattern interrupts trigger prediction error → dopamine release → information gap demanding cognitive closure. Pattern interrupts are 2.7x more common in viral posts. Optimal first line: ~49 characters.
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Neuroscience-backed engagement: Pattern interrupts trigger prediction error → dopamine release → information gap demanding cognitive closure. Pattern interrupts are markedly more common in viral posts (multiplier unverified). Optimal first line: ~49 characters.
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**Used in:** `references/engagement-frameworks.md`
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@ -195,7 +195,7 @@ Three-level connection classification: **Tier 1** (Inner Circle, 5-10 people, da
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## P
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### Pattern Interrupt
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Unexpected statement or data point that breaks normal thought patterns and captures attention. 2.7x more common in viral posts. Examples: contrarian claims, surprising statistics, provocative questions.
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Unexpected statement or data point that breaks normal thought patterns and captures attention. Markedly more common in viral posts (multiplier unverified). Examples: contrarian claims, surprising statistics, provocative questions.
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**Used in:** `references/engagement-frameworks.md`
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@ -213,7 +213,7 @@ Unexpected statement or data point that breaks normal thought patterns and captu
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## S
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### Save Signal
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Highest-value engagement signal — top of the engagement order. A save ≈ 5x a like (≈ 2x a comment) in single-vendor data — directional, not a fixed weight. Saves indicate content worth returning to; posts with saves get 130% higher follow probability. Only ~3% of posts reach save-worthy status.
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Highest-value engagement signal — top of the engagement order. A save ≈ 5x a like (≈ 2x a comment) in single-vendor data — directional, not a fixed weight. Saves indicate content worth returning to; posts with saves raise follow probability (saves are a follow-graph signal; figure unverified). Only a small fraction of posts reach save-worthy status.
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**Used in:** `references/algorithm-signals-reference.md`, `references/linkedin-growth-playbook-2025-2026.md`
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@ -144,7 +144,7 @@ Most creators quit before day 90. Algorithm needs 30+ days of consistent posting
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## Mobile Optimization (Critical)
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**The mobile reality:**
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- 70% of LinkedIn users access via mobile
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- The majority of LinkedIn users access via mobile
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- First 110-140 characters visible before "see more"
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- Design for mobile-first with short paragraphs
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- Vertical visuals when possible
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### The Golden Hour (First 60-90 Minutes)
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The first hour after posting determines 70% of your post's total reach. See the comprehensive Golden Hour monitoring guide in linkedin-growth-playbook-2025-2026.md for detailed velocity targets and real-time signals.
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The first 15–30 minutes decide ~70% of your post's total reach (golden window 60–90 min). See the comprehensive Golden Hour monitoring guide in linkedin-growth-playbook-2025-2026.md for detailed velocity targets and real-time signals.
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### Engagement Quality Hierarchy
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@ -55,8 +55,8 @@ How long users spend viewing content with at least 50% visible on screen. Linked
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**Critical stats:**
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- Posts that get saved: **faster audience growth** (multiplier unverified — saves top the engagement order; see `references/algorithm-signals-reference.md`)
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- Users who save your content: **130% higher chance of following you**
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- Only ~3% of posts reach save-worthy status
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- Users who save your content: **more likely to follow you** (saves are a follow-graph signal; figure unverified — see `references/algorithm-signals-reference.md`)
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- Only a small fraction of posts reach save-worthy status
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See linkedin-formats.md for detailed dwell time optimization strategies.
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@ -36,7 +36,7 @@ Before adjusting tactics, identify root causes:
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| Dimension | Current (implied) | Adjustment | Rationale |
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|-----------|-------------------|------------|-----------|
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| **Posting frequency** | Below goal | Increase by 2x (e.g., 2/wk to 4/wk) | Volume is the #1 lever for algorithmic discovery |
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| **Engagement intensity** | Passive or minimal | 5x5x5 at full intensity + 10 extra comments/day on larger creators | External engagement generates 30-40% of new follower growth |
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| **Engagement intensity** | Passive or minimal | 5x5x5 at full intensity + 10 extra comments/day on larger creators | External engagement is a major driver of new follower growth (proportion unverified) |
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| **Format mix** | Text-heavy | Add 2 carousels/week + 1 document post/month | Carousels tend to earn more saves (figure unverified); saves are the strongest growth signal |
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| **Collaboration pace** | Rare or none | 2 collaborations/month minimum | Cross-pollination is the fastest way to break out of a plateau |
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| **Content emphasis** | General expertise | Shift to 80% save-worthy (frameworks, templates, checklists) | Save-worthy content compounds; engagement-only content doesn't |
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@ -177,7 +177,7 @@ Understanding how to recover from algorithmic suppression is critical for long-t
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- Recovery to baseline: 14-21 days
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- Full restoration with growth: 3-4 weeks
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### Moderate Suppression (50-70% drop)
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### Moderate Suppression (partial reach loss)
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- Initial improvement: 2-3 weeks
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- Recovery to baseline: 4-6 weeks
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@ -77,7 +77,7 @@ Comprehensive video scripting reference for LinkedIn authority content. This gui
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```
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[0:00-0:03] HOOK (8 words)
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Pattern interrupt, bold claim, or stat shock.
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Energy: HIGH — this determines 70% of retention.
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Energy: HIGH — the opening seconds disproportionately determine retention.
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[0:03-0:12] CONTEXT (23 words)
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Why this matters. Brief personal connection.
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### Vertical Video Preference
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LinkedIn now strongly prefers vertical (4:5 at 1080x1350) video on mobile feeds. Vertical videos get approximately 20-30% more feed real estate than landscape.
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LinkedIn now strongly prefers vertical (4:5 at 1080x1350) video on mobile feeds. Vertical video occupies more feed real estate than landscape on mobile (proportion unverified).
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### Native Upload Signals
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For full video scripting workflows, use `/linkedin:video` which supports talking head, screen recording, and slideshow formats in 30s/60s/90s/2min lengths with pacing, visual cues, and captions.
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**Quick reference (30-90 seconds optimal):**
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- First 3 seconds: Hook (8 words max — determines 70% of retention)
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- First 3 seconds: Hook (8 words max — disproportionately determines retention)
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- Middle: Core message (2-3 key points max)
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- Last 10 seconds: CTA
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