Campaign Analytics Command

Generate comprehensive campaign performance analysis with insights and optimization recommendations.

What This Command Does

1. Collects Performance Data

   • Channel-level metrics
   • Conversion funnel data
   • Attribution analysis

2. Analyzes Performance

   • KPI achievement
   • Trend analysis
   • Comparative benchmarks

3. Generates Recommendations

   • Optimization opportunities
   • Budget reallocation suggestions
   • Strategic insights

Orchestration Flow

Campaign Analytics Request
        ↓
[Marketing Analyst] → Performance Analysis
        ↓
[Data Analyst] → Data Quality & Processing
        ↓
[Attribution Specialist] → Attribution Analysis
        ↓
[Reporting Specialist] → Report Generation
        ↓
[Campaign Strategist] → Strategic Recommendations
        ↓
Comprehensive Campaign Report

Agents Involved

Agent	Role	Output
Marketing Analyst	Performance analysis	KPI tracking, insights
Data Analyst	Data processing	Clean data, validation
Attribution Specialist	Attribution	Channel contribution
Reporting Specialist	Reporting	Visualizations, report
Campaign Strategist	Strategy	Recommendations

Analysis Types

Type	Scope	Use Case
Daily	Quick metrics snapshot	During launch
Weekly	Detailed channel review	Ongoing optimization
Final	Complete campaign analysis	Post-campaign
Deep-dive	Specific area analysis	Problem solving

Output Artifacts

Saved to .aiwg/marketing/analytics/{campaign-name}/:

• performance-summary.md - Executive summary
• channel-analysis.md - Channel-by-channel breakdown
• attribution-report.md - Attribution analysis
• recommendations.md - Optimization recommendations
• final-report.md - Comprehensive final report

Parameter Handling

--guidance Parameter

Purpose: Provide upfront direction to tailor priorities and approach

Examples:

--guidance "Focus on attribution across paid channels"
--guidance "Need deep-dive on email performance"
--guidance "Benchmark against Q3 results"

How Applied:

• Parse guidance for keywords: priority, timeline, audience, focus, constraints
• Adjust agent emphasis and output depth based on stated priorities
• Modify deliverable order based on timeline constraints
• Influence scope and detail level based on context

--interactive Parameter

Purpose: Guide through discovery questions for comprehensive input

Questions Asked (if --interactive):

1. What specific metrics are you most interested in?
2. What time period should be analyzed?
3. Are there specific channels to focus on?
4. What benchmarks should we compare against?
5. Who is the audience for this report?

Usage Examples

# Weekly analysis
/campaign-analytics "Spring Launch" --analysis-type weekly

# Final campaign report
/campaign-analytics "Q1 Awareness" --analysis-type final

# Deep-dive on specific issue
/campaign-analytics "Holiday Campaign" --analysis-type deep-dive

# With strategic guidance
/campaign-analytics "Example" --guidance "Your specific context here"

# Interactive mode
/campaign-analytics "Example" --interactive

Success Criteria

• All channel data collected
• KPIs tracked against targets
• Attribution analysis complete
• Insights documented
• Actionable recommendations provided
• Report delivered to stakeholders

References

• @$AIWG_ROOT/agentic/code/frameworks/media-marketing-kit/README.md — Media marketing kit framework overview
• @$AIWG_ROOT/agentic/code/addons/aiwg-utils/rules/vague-discretion.md — Measurable KPI thresholds and analytics criteria
• @$AIWG_ROOT/agentic/code/addons/aiwg-utils/rules/subagent-scoping.md — Multi-agent analytics orchestration
• @$AIWG_ROOT/docs/cli-reference.md — CLI reference