feat(linkedin-thought-leadership): v1.0.0 — initial open-source import
Build LinkedIn thought leadership with algorithmic understanding, strategic consistency, and AI-assisted content creation. Updated for the January 2026 360Brew algorithm change. 16 agents, 25 commands, 6 skills, 9 hooks, 24 reference docs. Personal data sanitized: voice samples generalized to template, high-engagement posts cleared, region-specific references replaced with placeholders. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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# Audience Demographics
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Track WHO is actually engaging with your content. LinkedIn Analytics provides this data for free - use it to understand your real audience vs. your intended audience.
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## How to Access This Data
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1. Go to LinkedIn Analytics: https://www.linkedin.com/analytics/
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2. Click on any post
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3. Navigate to "Demographics" tab
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4. Review data monthly and update this file
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---
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## Current Demographics (Last Updated: [Date])
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### Industries (Top 10)
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Based on LinkedIn Analytics → Post Analytics → Demographics
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| Rank | Industry | % of Engagement | Trend |
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|------|----------|----------------|--------|
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| 1 | [Industry name] | [X]% | [↑/→/↓] |
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| 2 | [Industry name] | [X]% | [↑/→/↓] |
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| 3 | [Industry name] | [X]% | [↑/→/↓] |
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| 4 | [Industry name] | [X]% | [↑/→/↓] |
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| 5 | [Industry name] | [X]% | [↑/→/↓] |
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| 6 | [Industry name] | [X]% | [↑/→/↓] |
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| 7 | [Industry name] | [X]% | [↑/→/↓] |
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| 8 | [Industry name] | [X]% | [↑/→/↓] |
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| 9 | [Industry name] | [X]% | [↑/→/↓] |
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| 10 | [Industry name] | [X]% | [↑/→/↓] |
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**Key insights:**
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- [Observation 1 - e.g., "60% from government sector, higher than expected"]
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- [Observation 2 - e.g., "Tech companies underrepresented vs. my assumptions"]
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- [Implication - e.g., "Should increase public sector case studies"]
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---
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### Job Functions (Top 10)
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| Rank | Function | % of Engagement | Trend |
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|------|----------|----------------|--------|
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| 1 | [Function] | [X]% | [↑/→/↓] |
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| 2 | [Function] | [X]% | [↑/→/↓] |
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| 3 | [Function] | [X]% | [↑/→/↓] |
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| 4 | [Function] | [X]% | [↑/→/↓] |
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| 5 | [Function] | [X]% | [↑/→/↓] |
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| 6 | [Function] | [X]% | [↑/→/↓] |
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| 7 | [Function] | [X]% | [↑/→/↓] |
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| 8 | [Function] | [X]% | [↑/→/↓] |
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| 9 | [Function] | [X]% | [↑/→/↓] |
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| 10 | [Function] | [X]% | [↑/→/↓] |
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**Key insights:**
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- [Who is actually engaging]
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- [Implication for content framing]
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---
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### Seniority Levels
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| Level | % of Engagement | Change vs. Last Month |
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|-------|----------------|----------------------|
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| Entry level | [X]% | [+/-X%] |
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| Individual contributor | [X]% | [+/-X%] |
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| Manager | [X]% | [+/-X%] |
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| Director | [X]% | [+/-X%] |
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| VP | [X]% | [+/-X%] |
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| C-level | [X]% | [+/-X%] |
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| Owner/Partner | [X]% | [+/-X%] |
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**Key insights:**
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- **Dominant level:** [Which level engages most]
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- **Decision-maker presence:** [% at Director+ level]
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- **Content implication:** [How technical/strategic should content be?]
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---
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### Geographic Distribution (Top 10 Countries)
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| Rank | Country | % of Engagement | Trend |
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|------|---------|----------------|--------|
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| 1 | [Country] | [X]% | [↑/→/↓] |
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| 2 | [Country] | [X]% | [↑/→/↓] |
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| 3 | [Country] | [X]% | [↑/→/↓] |
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| 4 | [Country] | [X]% | [↑/→/↓] |
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| 5 | [Country] | [X]% | [↑/→/↓] |
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| 6 | [Country] | [X]% | [↑/→/↓] |
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| 7 | [Country] | [X]% | [↑/→/↓] |
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| 8 | [Country] | [X]% | [↑/→/↓] |
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| 9 | [Country] | [X]% | [↑/→/↓] |
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| 10 | [Country] | [X]% | [↑/→/↓] |
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**Key insights:**
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- **Primary market:** [Where most engagement comes from]
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- **Time zone implications:** [Optimal posting times]
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- **Regional context:** [Does content need localization?]
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---
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### Company Size (Of Engagers)
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| Size | % of Engagement | Trend |
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|------|----------------|--------|
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| 1-10 employees | [X]% | [↑/→/↓] |
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| 11-50 | [X]% | [↑/→/↓] |
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| 51-200 | [X]% | [↑/→/↓] |
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| 201-500 | [X]% | [↑/→/↓] |
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| 501-1000 | [X]% | [↑/→/↓] |
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| 1001-5000 | [X]% | [↑/→/↓] |
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| 5001-10000 | [X]% | [↑/→/↓] |
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| 10000+ | [X]% | [↑/→/↓] |
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**Key insights:**
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- **Dominant segment:** [Enterprise/Mid-market/SMB]
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- **Content implication:** [Scale of examples, budget assumptions]
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- **Opportunity:** [Underserved segment to target]
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---
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## Intended vs. Actual Audience
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### Who I Thought My Audience Was
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- **Industries:** [Your original assumptions]
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- **Roles:** [Your original assumptions]
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- **Seniority:** [Your original assumptions]
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- **Geography:** [Your original assumptions]
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### Who My Audience Actually Is
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- **Industries:** [Reality from data above]
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- **Roles:** [Reality from data above]
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- **Seniority:** [Reality from data above]
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- **Geography:** [Reality from data above]
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### Strategic Implications
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**Content adjustments needed:**
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1. [Adjustment 1 - e.g., "Increase public sector examples, decrease startup references"]
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2. [Adjustment 2 - e.g., "Frame for Director-level, not just technical ICs"]
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3. [Adjustment 3 - e.g., "Add European regulatory context"]
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**Opportunities identified:**
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1. [Opportunity 1 - e.g., "Large enterprise segment underserved by competitors"]
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2. [Opportunity 2 - e.g., "Growing Nordic audience interested in topic X"]
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---
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## Follower vs. Engager Analysis
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**Important distinction:**
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- Your followers = who follows you
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- Your engagers = who actually interacts with content
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Often these are different groups. LinkedIn prioritizes showing your content to engagers, not just followers.
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### Follower Demographics
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[If you have LinkedIn Premium, note follower demographics here]
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- [Key differences from engager demographics]
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### Insight
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[What the difference between followers and engagers tells you]
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---
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## Competitive Audience Analysis
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How does your audience compare to key competitors/peers?
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| Peer | Their Primary Industry | Their Seniority Level | Difference from Mine |
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|------|----------------------|---------------------|---------------------|
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| [Name] | [Industry] | [Level] | [What's different] |
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| [Name] | [Industry] | [Level] | [What's different] |
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| [Name] | [Industry] | [Level] | [What's different] |
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**Content gap opportunity:**
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[Where your unique audience positioning creates content opportunities]
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---
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## Month-over-Month Trends
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### [Current Month] vs. [Previous Month]
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**Industry shifts:**
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- [What changed and why]
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**Seniority shifts:**
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- [What changed and why]
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**Geographic shifts:**
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- [What changed and why]
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**Analysis:**
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[What these trends indicate about content resonance and audience evolution]
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---
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## Update Schedule
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- **Monthly:** Update all demographics from LinkedIn Analytics
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- **Quarterly:** Deep analysis of trends and strategic implications
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- **Yearly:** Major review of intended vs. actual audience fit
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---
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## Update Log
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- **[Date]:** Initial demographics captured
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- **[Date]:** Observed [significant change] in [demographic category]
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- **[Date]:** Shifted content strategy based on [insight]
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# My Audience Engagement Patterns
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Track YOUR audience's specific behaviors and preferences here. This data is more valuable than generic "best practices" because it's based on YOUR actual results.
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## Update Frequency
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**Weekly (5 minutes):** Update posting times and add best-performing topic from the week
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**Monthly (15 minutes):** Deep dive into patterns, update demographics, analyze format performance
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---
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## Best Posting Times (Based on MY Data)
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**Important:** These should be YOUR times based on YOUR analytics, not generic advice. Track this in LinkedIn Analytics under "Post impressions by time of day."
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### Primary Posting Windows
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1. **[Day] at [Time]:** Avg. impressions: [X] | Avg. engagement: [Y]
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- Why this works: [e.g., "My audience (public sector leaders) checks LinkedIn during lunch break"]
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2. **[Day] at [Time]:** Avg. impressions: [X] | Avg. engagement: [Y]
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- Why this works: [Your analysis]
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3. **[Day] at [Time]:** Avg. impressions: [X] | Avg. engagement: [Y]
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- Why this works: [Your analysis]
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### Worst Posting Times (To Avoid)
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- [Day/Time]: [Why it underperforms for YOUR audience]
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- [Day/Time]: [Why it underperforms for YOUR audience]
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**Update Log:**
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- [Date]: [Change observed - e.g., "Tuesday 2pm now outperforms Friday 8am"]
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---
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## Top-Performing Topics (Last 90 Days)
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Track which topics YOUR audience actually engages with, not what you think they should care about.
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1. **[Topic]:** Avg. engagement: [X] | Posts: [Y]
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- Best-performing post example: [Brief description]
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- Why it resonates: [Your analysis]
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2. **[Topic]:** Avg. engagement: [X] | Posts: [Y]
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- Best-performing post example: [Brief description]
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- Why it resonates: [Your analysis]
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3. **[Topic]:** Avg. engagement: [X] | Posts: [Y]
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- Best-performing post example: [Brief description]
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- Why it resonates: [Your analysis]
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### Topics That Surprisingly Underperformed
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- **[Topic]:** [Why you thought it would work] → [Why it didn't]
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- **[Topic]:** [Analysis]
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**Implication for content strategy:**
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[What you'll do differently based on this data]
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---
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## Format Performance (MY Audience)
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Based on YOUR analytics, not generic benchmarks. Track in LinkedIn Analytics and your own spreadsheet.
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### Format Rankings (By Engagement)
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1. **[Format - e.g., "Story-based posts"]:**
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- Avg. impressions: [X]
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- Avg. engagement rate: [Y%]
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- Best time to post: [When]
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- Character sweet spot: [Range]
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2. **[Format - e.g., "Framework posts"]:**
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- Avg. impressions: [X]
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- Avg. engagement rate: [Y%]
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- Best time to post: [When]
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- Character sweet spot: [Range]
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3. **[Format - e.g., "Data/research posts"]:**
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- [Same metrics]
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4. **[Format - e.g., "Case study posts"]:**
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- [Same metrics]
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### Visual Content Performance
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- **Posts with images:** Avg. engagement: [X] vs text-only: [Y]
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- **Posts with documents:** Avg. engagement: [X]
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- **Posts with carousels:** Avg. engagement: [X]
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- **Video posts:** Avg. engagement: [X]
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**Your insights:**
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[What format performs best for YOUR audience and why]
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---
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## Hook Types That Work for ME
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Not all hook styles work for all audiences. Track which hooks YOUR audience responds to.
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### Top-Performing Hook Styles
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1. **[Hook type - e.g., "Counterintuitive stat"]**
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- Example: [Actual hook you used]
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- Avg. engagement: [X]
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- Why it works for your audience: [Analysis]
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2. **[Hook type - e.g., "Bold contrarian statement"]**
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- Example: [Actual hook]
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- Avg. engagement: [X]
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- Why it works: [Analysis]
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3. **[Hook type - e.g., "Personal story opening"]**
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- Example: [Actual hook]
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- Avg. engagement: [X]
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- Why it works: [Analysis]
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### Hook Styles That Don't Work for YOUR Audience
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- **[Hook type]:** [Why it underperforms with your specific audience]
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- **[Hook type]:** [Why it underperforms]
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---
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## CTA Performance Analysis
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Which calls-to-action actually drive engagement from YOUR audience?
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### High-Performing CTAs
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1. **[CTA type - e.g., "Specific implementation question"]**
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- Example: "Which stage is your organization in?"
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- Avg. comments generated: [X]
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2. **[CTA type]**
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- Example: [Actual CTA]
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- Avg. comments generated: [X]
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### Low-Performing CTAs (To Avoid)
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- **[CTA type]:** [Why YOUR audience doesn't respond to this]
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---
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## Audience Demographics (Who Actually Engages)
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Based on LinkedIn Analytics → Analytics → Demographics of people who interacted with your posts
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### Industries (Top 5)
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1. [Industry]: [% of engagement]
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2. [Industry]: [% of engagement]
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3. [Industry]: [% of engagement]
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4. [Industry]: [% of engagement]
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5. [Industry]: [% of engagement]
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**Insight:** [What this means for content focus]
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### Job Functions (Top 5)
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1. [Function]: [% of engagement]
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2. [Function]: [% of engagement]
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3. [Function]: [% of engagement]
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4. [Function]: [% of engagement]
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5. [Function]: [% of engagement]
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**Insight:** [How this should shape your content]
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### Seniority Levels
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- C-level: [%]
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- VP/Director: [%]
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- Manager: [%]
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- Individual contributor: [%]
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- Entry level: [%]
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**Insight:** [Technical depth and framing implications]
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### Geographic Distribution (Top 5 Countries)
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1. [Country]: [%]
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2. [Country]: [%]
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3. [Country]: [%]
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4. [Country]: [%]
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5. [Country]: [%]
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**Insight:** [Time zone and regional context considerations]
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### Company Size (Of Engagers)
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- 1-10 employees: [%]
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- 11-50: [%]
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- 51-200: [%]
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- 201-500: [%]
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- 501-1000: [%]
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- 1001-5000: [%]
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- 5001-10000: [%]
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- 10000+: [%]
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**Insight:** [Scale and organizational context implications]
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---
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## Content Length Performance (YOUR Data)
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Track the optimal length for YOUR audience, not generic advice.
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- **800-1000 characters:** Avg. engagement: [X]
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- **1000-1200 characters:** Avg. engagement: [X]
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- **1200-1500 characters:** Avg. engagement: [X]
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- **1500-1900 characters:** Avg. engagement: [X]
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- **1900+ characters:** Avg. engagement: [X]
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**Your sweet spot:** [Range that consistently performs best]
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**Why:** [Your analysis of why this works for your audience]
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---
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## Engagement Velocity Patterns
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How quickly does YOUR content gain traction?
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### First Hour Performance
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- **Average engagement in first 60 minutes:** [X] likes, [Y] comments
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- **Threshold for algorithm boost:** [Based on your data, when does reach accelerate?]
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- **Your current hit rate:** [% of posts that hit the threshold]
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### 24-Hour Patterns
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- **Most engagement happens in:** [Time window - e.g., "First 3 hours"]
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- **Secondary surge times:** [If applicable]
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- **Typical engagement curve:** [Description of how your posts perform over 24 hours]
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---
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## Strategic Insights (The "So What")
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Based on all the data above, what should you do differently?
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### Content Strategy Adjustments
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1. **More of this:** [What data says you should double down on]
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2. **Less of this:** [What data says isn't working]
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3. **Test this:** [New hypotheses based on patterns]
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### Audience Alignment
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- **Who you thought your audience was:** [Original assumption]
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- **Who actually engages:** [Reality based on data]
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- **Strategic implication:** [How content should shift]
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### Competitive Edge Opportunities
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Based on YOUR unique audience makeup:
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- **Gap 1:** [Underserved need you could fill]
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- **Gap 2:** [Content angle competitors miss]
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- **Gap 3:** [Format opportunity]
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---
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## Monthly Comparison
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Track month-over-month to see if patterns are stable or shifting.
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### [Current Month]
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- Avg. impressions per post: [X]
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- Avg. engagement per post: [Y]
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- Follower growth: [+X]
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- Best-performing topic: [Topic]
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- Best-performing format: [Format]
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### [Previous Month]
|
||||
- [Same metrics for comparison]
|
||||
|
||||
**Key changes:** [What's different and why]
|
||||
|
||||
---
|
||||
|
||||
## Update Log
|
||||
|
||||
- **[Date]:** [Significant finding - e.g., "Discovered Thursday posts now outperform Tuesday"]
|
||||
- **[Date]:** [Pattern shift - e.g., "Framework posts have overtaken story posts in engagement"]
|
||||
- **[Date]:** [Audience insight - e.g., "Realize 60% of engagers are from enterprise, not SMB"]
|
||||
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