campaign

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name: campaign description: Campaign performance review. Pulls engagement and conversion data, assesses what is working, recommends keep/kill/adjust for each active campaign. Thursday routine. Octopus colors: Yellow (analytics) + Green (adjustment) + Purple (decision framing). user-invocable: true argument-hint: "[campaign-name]"

/campaign: Campaign Performance Review

Octopus Colors: Yellow (Researcher) + Green (Marketer) + Purple (Manager)

Process

1. Read departments/marketing/knowledge/ for active campaigns and historical data
2. Pull performance data (Yellow):
   • Engagement: views, clicks, shares, comments per channel
   • Conversion: leads generated, signups, purchases attributed
   • Cost: spend per channel, cost per acquisition
   • Comparison: this period vs. previous period
3. Assess (Green):
   • What is working: which channels, content types, messages resonate
   • What is not: underperformers, declining trends, wasted spend
   • Adjustment ideas: new angles, channel shifts, audience changes
4. Frame decisions (Purple):
   • For each campaign: keep, kill, or adjust
   • Support each recommendation with data
5. Present to Chairman

Output Format

# Campaign Review: [Date]

## Active Campaigns

### [Campaign Name]
**Status:** [performing/underperforming/new]
**Metrics:** [key numbers]
**Trend:** [improving/stable/declining]
**Recommendation:** [KEEP / KILL / ADJUST]
**Rationale:** [one sentence with data]
**If adjusting:** [specific change proposed]

## Summary
- Performing: [count] campaigns
- Kill: [count] - saves [estimated amount/effort]
- Adjust: [count] - changes proposed above

## Approval
[ ] Approve all recommendations
[ ] Adjust (specify below)

Rules

• Use real data from knowledge base. Do not invent metrics.
• If no marketing department exists, adapt to whatever campaigns the business runs.
• If $ARGUMENTS provided, focus on that specific campaign.
• Save to .chairman/reports/campaign-YYYY-MM-DD.md