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Data AnalysisGTM LeadFounder

Engagement Pattern Analysis

Day-of-week patterns, engagement types by seniority, decay curves, and the optimal outreach timing window

The Prompt

From Clearcue, pull all engagement signals from the last 60 days. Analyze the patterns:

  1. Engagement by Day of Week: Which days see the most signal activity? Are there dead days we should avoid for outreach?

  2. Engagement by Type:

    • What percentage are likes vs comments vs shares?
    • Do decision-makers behave differently than practitioners?
    • Do certain topics drive more comments (high intent) vs likes (passive)?

  3. Repeat Engager Analysis:

    • How many people engage 3+ times? (These are your warmest prospects)
    • What's the average time between first and second engagement?
    • What content drives repeat engagement?

  4. Signal-to-Opportunity Velocity:

    • Of people who triggered signals and we reached out to — what was the average response time?
    • Is there a sweet spot (e.g., outreach within 48 hours of signal converts better)?

  5. Engagement Decay: How long after someone engages are they still "warm"? Is there a drop-off point where outreach effectiveness decreases?

  6. Segmented Insights: Break all of the above by:

    • Seniority level
    • Industry
    • Company size

Give me 5 specific tactical changes we should make based on these patterns.

Requirements

Brand signal running for 60+ days

Pro tip

The 'engagement decay' insight is gold. Most teams discover that reaching out within 24-48 hours of a signal gets 3-4x the response rate vs waiting a week. The signal is telling you someone's brain is in 'your topic' mode — catch them while they're there.

What happens

Clearcue provides the raw engagement timeline data. Claude runs time-series and behavioral analysis to find patterns in when and how people engage. The output is tactical — specific changes to outreach timing, content strategy, and follow-up cadence based on real data.

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3-4 hours → 1 prompt

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