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name: content-metrics description: Knowledge base for measuring, analyzing, and optimizing content performance. Use when tracking metrics, analyzing patterns, or making data-driven content decisions.

Content Metrics Skill

Framework for measuring and optimizing content performance across platforms.

Metrics Hierarchy

Vanity vs Value Metrics

Vanity Metrics (Nice to have):

• Follower count
• Total likes
• Impressions

Value Metrics (Actually matter):

• Engagement rate
• Comment quality
• Profile visits → follows
• Inbound opportunities
• Conversion to action

The Metrics That Matter

Metric	What It Measures	Why It Matters
Engagement Rate	Likes+Comments+Shares / Impressions	True content resonance
Comment Count	Number of comments	Content sparked discussion
Save/Bookmark Rate	Saves / Impressions	Content worth keeping
Share Rate	Shares / Impressions	Content worth spreading
Profile Visits	Clicks to profile	Interest in author
Follow Rate	New followers / Impressions	Converting readers to audience

Platform-Specific Benchmarks

LinkedIn

Metric	Poor	Average	Good	Great
Engagement Rate	<1%	1-2%	2-4%	>4%
Comment Rate	<0.1%	0.1-0.3%	0.3-0.5%	>0.5%
Impressions	<500	500-2K	2K-10K	>10K

Twitter/X

Metric	Poor	Average	Good	Great
Engagement Rate	<0.5%	0.5-1%	1-2%	>2%
Retweet Rate	<0.1%	0.1-0.5%	0.5-1%	>1%
Reply Rate	<0.1%	0.1-0.2%	0.2-0.5%	>0.5%

Performance Categories

Content Type Performance

Track performance by type:

• Personal stories
• Frameworks/how-tos
• Contrarian takes
• Industry commentary
• Curated content
• Questions/polls

Topic Performance

Track by topic area:

• Leadership
• Technical
• Career advice
• Industry trends
• Personal brand
• Company/product

Format Performance

Track by format:

• Text only
• Text + image
• Carousel
• Video
• Thread
• Poll

Timing Performance

Track by:

• Day of week
• Time of day
• Posting frequency

Analysis Frameworks

The 80/20 Analysis

1. List all content from period
2. Rank by key metric (engagement)
3. Identify top 20%
4. Analyze: What do they share?
5. Identify bottom 20%
6. Analyze: What patterns appear?

The Triple-F Framework

Format: What format performed best? Focus: What topics resonated? Framing: How was content positioned?

Trend Analysis

1. Baseline: What's your average?
2. Compare: Each post vs average
3. Trend: Is average improving?
4. Outliers: What caused spikes?
5. Patterns: What's consistent?

Data Collection

What to Track

For each post, record:

• Date/time posted
• Platform
• Content type/format
• Topic
• Hook type used
• Length
• Key metrics (24h, 48h, 7d)
• Notable outcomes

Memory Storage Format

Category: ["content-published", "[platform]"]
Content: "Post: [hook/summary]
Published: [date]
Platform: [platform]
Type: [content type]
Topic: [topic]
Metrics (7d): [likes], [comments], [shares], [impressions]
Notable: [any notable outcomes]"

Optimization Framework

The Testing Loop

1. Hypothesis: "Story hooks get more engagement"
2. Test: Publish 5 story-hook posts
3. Measure: Compare to baseline
4. Learn: Confirm or reject hypothesis
5. Apply: Adjust strategy
6. Repeat

Variables to Test

Hook Types:

• Story tease
• Question
• Contrarian statement
• List promise
• Direct statement

Content Length:

• Short (<100 words)
• Medium (100-300 words)
• Long (300+ words)

Posting Time:

• Morning (7-10 AM)
• Midday (11 AM-2 PM)
• Afternoon (3-6 PM)
• Evening (7-10 PM)

Frequency:

• Daily
• Every other day
• 2-3x per week
• Weekly

Pattern Recognition

Signals of Good Content

• High comment-to-like ratio (people talking, not just clicking)
• Save/bookmark rate above average
• Comments asking questions (engagement)
• Shares with commentary added
• Profile visits spike after post

Signals of Weak Content

• High impressions, low engagement (reached people, didn't resonate)
• No comments (didn't spark thought)
• Quick engagement drop-off (didn't hold attention)
• No profile visits (didn't build interest in author)

Reporting Templates

Weekly Check-in

This Week:
- Posts: X
- Avg Engagement: X (vs Y last week)
- Best: [Post summary] - [why it worked]
- Learning: [One insight]

Monthly Review

This Month:
- Total Posts: X
- Engagement Trend: [up/down/stable]
- Top 3: [List with metrics]
- Pattern: [Key pattern identified]
- Next Month Focus: [Priority]

Quarterly Analysis

Quarter Overview:
- Content Volume: X posts
- Audience Growth: X → Y followers
- Engagement Trend: [graph or summary]
- Top Performers: [Top 10 with analysis]
- Patterns Confirmed: [List]
- Strategy Adjustments: [Changes to make]

Converting Insights to Action

From Data to Decision

Finding	Implication	Action
Story posts perform 2x	Audience likes narrative	Lead with stories more
Tuesday posts best	Audience active mid-week	Prioritize Tue-Thu
Long posts underperform	Audience prefers concise	Tighten editing

Priority Matrix

	High Impact	Low Impact
Easy	Do first	Do if time
Hard	Plan for	Don't do

Focus optimization efforts on high-impact, easy changes first.