ktg-plugin-marketplace/plugins/linkedin-thought-leadership/assets/audience-insights/engagement-patterns.md

My Audience Engagement Patterns

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.

Update Frequency

Weekly (5 minutes): Update posting times and add best-performing topic from the week Monthly (15 minutes): Deep dive into patterns, update demographics, analyze format performance

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Best Posting Times (Based on MY Data)

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."

Primary Posting Windows

1. [Day] at [Time]: Avg. impressions: [X] | Avg. engagement: [Y]

   • Why this works: [e.g., "My audience (public sector leaders) checks LinkedIn during lunch break"]

2. [Day] at [Time]: Avg. impressions: [X] | Avg. engagement: [Y]

   • Why this works: [Your analysis]

3. [Day] at [Time]: Avg. impressions: [X] | Avg. engagement: [Y]

   • Why this works: [Your analysis]

Worst Posting Times (To Avoid)

• [Day/Time]: [Why it underperforms for YOUR audience]
• [Day/Time]: [Why it underperforms for YOUR audience]

Update Log:

• [Date]: [Change observed - e.g., "Tuesday 2pm now outperforms Friday 8am"]

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Top-Performing Topics (Last 90 Days)

Track which topics YOUR audience actually engages with, not what you think they should care about.

1. [Topic]: Avg. engagement: [X] | Posts: [Y]

   • Best-performing post example: [Brief description]
   • Why it resonates: [Your analysis]

2. [Topic]: Avg. engagement: [X] | Posts: [Y]

   • Best-performing post example: [Brief description]
   • Why it resonates: [Your analysis]

3. [Topic]: Avg. engagement: [X] | Posts: [Y]

   • Best-performing post example: [Brief description]
   • Why it resonates: [Your analysis]

Topics That Surprisingly Underperformed

• [Topic]: [Why you thought it would work] → [Why it didn't]
• [Topic]: [Analysis]

Implication for content strategy: [What you'll do differently based on this data]

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Format Performance (MY Audience)

Based on YOUR analytics, not generic benchmarks. Track in LinkedIn Analytics and your own spreadsheet.

Format Rankings (By Engagement)

1. [Format - e.g., "Story-based posts"]:

   • Avg. impressions: [X]
   • Avg. engagement rate: [Y%]
   • Best time to post: [When]
   • Character sweet spot: [Range]

2. [Format - e.g., "Framework posts"]:

   • Avg. impressions: [X]
   • Avg. engagement rate: [Y%]
   • Best time to post: [When]
   • Character sweet spot: [Range]

3. [Format - e.g., "Data/research posts"]:

   • [Same metrics]

4. [Format - e.g., "Case study posts"]:

   • [Same metrics]

Visual Content Performance

• Posts with images: Avg. engagement: [X] vs text-only: [Y]
• Posts with documents: Avg. engagement: [X]
• Posts with carousels: Avg. engagement: [X]
• Video posts: Avg. engagement: [X]

Your insights: [What format performs best for YOUR audience and why]

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Hook Types That Work for ME

Not all hook styles work for all audiences. Track which hooks YOUR audience responds to.

Top-Performing Hook Styles

1. [Hook type - e.g., "Counterintuitive stat"]

   • Example: [Actual hook you used]
   • Avg. engagement: [X]
   • Why it works for your audience: [Analysis]

2. [Hook type - e.g., "Bold contrarian statement"]

   • Example: [Actual hook]
   • Avg. engagement: [X]
   • Why it works: [Analysis]

3. [Hook type - e.g., "Personal story opening"]

   • Example: [Actual hook]
   • Avg. engagement: [X]
   • Why it works: [Analysis]

Hook Styles That Don't Work for YOUR Audience

• [Hook type]: [Why it underperforms with your specific audience]
• [Hook type]: [Why it underperforms]

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CTA Performance Analysis

Which calls-to-action actually drive engagement from YOUR audience?

High-Performing CTAs

1. [CTA type - e.g., "Specific implementation question"]

   • Example: "Which stage is your organization in?"
   • Avg. comments generated: [X]

2. [CTA type]

   • Example: [Actual CTA]
   • Avg. comments generated: [X]

Low-Performing CTAs (To Avoid)

• [CTA type]: [Why YOUR audience doesn't respond to this]

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Audience Demographics (Who Actually Engages)

Based on LinkedIn Analytics → Analytics → Demographics of people who interacted with your posts

Industries (Top 5)

1. [Industry]: [% of engagement]
2. [Industry]: [% of engagement]
3. [Industry]: [% of engagement]
4. [Industry]: [% of engagement]
5. [Industry]: [% of engagement]

Insight: [What this means for content focus]

Job Functions (Top 5)

1. [Function]: [% of engagement]
2. [Function]: [% of engagement]
3. [Function]: [% of engagement]
4. [Function]: [% of engagement]
5. [Function]: [% of engagement]

Insight: [How this should shape your content]

Seniority Levels

• C-level: [%]
• VP/Director: [%]
• Manager: [%]
• Individual contributor: [%]
• Entry level: [%]

Insight: [Technical depth and framing implications]

Geographic Distribution (Top 5 Countries)

Insight: [Time zone and regional context considerations]

Company Size (Of Engagers)

• 1-10 employees: [%]
• 11-50: [%]
• 51-200: [%]
• 201-500: [%]
• 501-1000: [%]
• 1001-5000: [%]
• 5001-10000: [%]
• 10000+: [%]

Insight: [Scale and organizational context implications]

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Content Length Performance (YOUR Data)

Track the optimal length for YOUR audience, not generic advice.

• 800-1000 characters: Avg. engagement: [X]
• 1000-1200 characters: Avg. engagement: [X]
• 1200-1500 characters: Avg. engagement: [X]
• 1500-1900 characters: Avg. engagement: [X]
• 1900+ characters: Avg. engagement: [X]

Your sweet spot: [Range that consistently performs best] Why: [Your analysis of why this works for your audience]

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Engagement Velocity Patterns

How quickly does YOUR content gain traction?

First Hour Performance

• Average engagement in first 60 minutes: [X] likes, [Y] comments
• Threshold for algorithm boost: [Based on your data, when does reach accelerate?]
• Your current hit rate: [% of posts that hit the threshold]

24-Hour Patterns

• Most engagement happens in: [Time window - e.g., "First 3 hours"]
• Secondary surge times: [If applicable]
• Typical engagement curve: [Description of how your posts perform over 24 hours]

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Strategic Insights (The "So What")

Based on all the data above, what should you do differently?

Content Strategy Adjustments

1. More of this: [What data says you should double down on]
2. Less of this: [What data says isn't working]
3. Test this: [New hypotheses based on patterns]

Audience Alignment

• Who you thought your audience was: [Original assumption]
• Who actually engages: [Reality based on data]
• Strategic implication: [How content should shift]

Competitive Edge Opportunities

Based on YOUR unique audience makeup:

• Gap 1: [Underserved need you could fill]
• Gap 2: [Content angle competitors miss]
• Gap 3: [Format opportunity]

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Monthly Comparison

Track month-over-month to see if patterns are stable or shifting.

[Current Month]

• Avg. impressions per post: [X]
• Avg. engagement per post: [Y]
• Follower growth: [+X]
• Best-performing topic: [Topic]
• Best-performing format: [Format]

[Previous Month]

• [Same metrics for comparison]

Key changes: [What's different and why]

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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"]