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Generates executive-ready marketing performance summaries aggregating KPIs across channels with trends, insights, and prioritized recommendations.
npx claudepluginhub jmagly/aiwg --plugin marketingHow this skill is triggered — by the user, by Claude, or both
Slash command
/marketing:performance-digestThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Generate executive-ready performance summaries with insights and recommendations.
Generates structured marketing performance reports with KPI tracking, trend analysis, anomaly detection, and prioritized recommendations. Useful for reporting periods, channel analysis, and executive or tactical audiences.
Generates concise marketing reports following a 'read 5 minutes, know what to do next' format with insights first, metrics as evidence, and actionable recommendations with deadlines and owners. Supports weekly/monthly global performance reports.
Generates marketing performance reports with executive summaries, key metrics tables, trend analysis, wins/misses, and prioritized optimizations for campaigns or channels.
Share bugs, ideas, or general feedback.
Generate executive-ready performance summaries with insights and recommendations.
This skill generates clear, actionable performance summaries by:
When triggered, this skill:
Determines report scope:
Aggregates metrics:
Identifies highlights:
Generates insights:
Formats for audience:
daily_digest:
audience: marketing_team
time: 9:00 AM
length: 2 minutes read
sections:
- yesterday_snapshot
- notable_changes
- today_priorities
- quick_wins
metrics:
- spend_vs_budget
- conversions
- anomalies
weekly_summary:
audience: marketing_manager
time: Monday 8:00 AM
length: 5 minutes read
sections:
- week_performance
- channel_breakdown
- campaign_highlights
- next_week_focus
metrics:
- all_core_kpis
- week_over_week
- trend_analysis
monthly_report:
audience: marketing_leadership
time: 1st of month
length: 10 minutes read
sections:
- executive_summary
- goal_progress
- channel_performance
- campaign_analysis
- competitive_context
- recommendations
metrics:
- all_kpis
- month_over_month
- year_over_year
- target_vs_actual
quarterly_review:
audience: c_suite
time: End of quarter
length: 15 minutes read
sections:
- quarter_highlights
- business_impact
- market_position
- strategic_progress
- next_quarter_plan
- investment_request
metrics:
- revenue_impact
- market_share
- brand_metrics
- efficiency_ratios
# Marketing Performance Summary
**Period**: [Date Range]
**Prepared For**: [Audience]
**Prepared By**: performance-digest skill
---
## At a Glance
| KPI | Actual | Target | Status |
|-----|--------|--------|--------|
| Revenue | $X | $Y | ✅ 110% |
| New Customers | X | Y | ⚠️ 95% |
| CAC | $X | $Y | ✅ -8% |
| ROAS | X.Xx | Y.Yx | ❌ 85% |
**Overall Status**: On Track / At Risk / Behind
---
## Key Wins 🎯
1. **[Win Title]**
- Result: [Metric achieved]
- Impact: [Business impact]
- Credit: [Team/campaign]
2. **[Win Title]**
- Result: [Metric achieved]
- Impact: [Business impact]
---
## Areas of Concern ⚠️
1. **[Issue Title]**
- Current: [Metric]
- Target: [Target]
- Gap: [X%]
- Action: [Recommendation]
---
## Channel Performance
| Channel | Spend | Revenue | ROAS | vs Target |
|---------|-------|---------|------|-----------|
| Paid Search | $X | $Y | Z.Zx | ✅ +12% |
| Paid Social | $X | $Y | Z.Zx | ⚠️ -5% |
| Email | $X | $Y | Z.Zx | ✅ +25% |
| Organic | $0 | $Y | - | ✅ +8% |
---
## Top Campaigns
| Rank | Campaign | Revenue | ROAS | Notes |
|------|----------|---------|------|-------|
| 1 | [Name] | $X | Z.Zx | [Insight] |
| 2 | [Name] | $X | Z.Zx | [Insight] |
| 3 | [Name] | $X | Z.Zx | [Insight] |
---
## Trends
### Positive Trends ↑
- [Trend 1]: [X% improvement over Y period]
- [Trend 2]: [X% improvement over Y period]
### Concerning Trends ↓
- [Trend 1]: [X% decline over Y period]
- [Trend 2]: [X% decline over Y period]
---
## Recommendations
### Immediate Actions (This Week)
1. [ ] [Action] - Expected impact: [X%]
2. [ ] [Action] - Expected impact: [X%]
### Strategic Recommendations (This Quarter)
1. [ ] [Recommendation] - Investment: $X, ROI: Y%
2. [ ] [Recommendation] - Investment: $X, ROI: Y%
---
## Next Period Outlook
- **Target**: [Key goal]
- **Focus**: [Priority areas]
- **Risks**: [Key risks to monitor]
- **Opportunities**: [Growth opportunities]
# Daily Marketing Digest
**Date**: 2025-12-08
**Prepared**: 9:00 AM
---
## Yesterday's Snapshot
| Metric | Yesterday | Avg (7d) | Status |
|--------|-----------|----------|--------|
| Spend | $4,523 | $4,200 | +8% |
| Impressions | 245K | 220K | +11% |
| Clicks | 3,421 | 3,100 | +10% |
| Conversions | 87 | 75 | +16% |
**Overall**: Strong day, above average on all metrics
---
## Notable Changes
### ✅ Wins
- Email campaign "Holiday Sale" hit 32% open rate (vs 24% avg)
- LinkedIn ads CPC dropped 15% with new creative
### ⚠️ Watch
- Google Ads CTR down 8% - reviewing ad copy
- Instagram reach declined for 3rd day
### 🚨 Action Needed
- Facebook ad account approaching spending limit
- [Action: Increase daily budget]
---
## Today's Priorities
1. [ ] Review and approve new ad creative for launch
2. [ ] Increase FB budget to avoid delivery issues
3. [ ] Prep weekly report for 10am team meeting
---
## Quick Stats
Budget Pacing: ████████████████░░░░ 78% spent, 80% of month Conversion Goal: ████████████████░░░░ 82% achieved
insight_types:
win:
template: "[Metric] exceeded target by [X%] driven by [cause]"
example: "Email revenue exceeded target by 25% driven by holiday campaign"
concern:
template: "[Metric] fell [X%] below target due to [cause], recommend [action]"
example: "CAC rose 15% above target due to increased competition, recommend testing new channels"
trend:
template: "[Metric] has [increased/decreased] [X%] over [period], indicating [interpretation]"
example: "Organic traffic has increased 12% over 3 months, indicating SEO investments paying off"
anomaly:
template: "[Metric] showed unusual [spike/drop] of [X%] on [date], likely due to [cause]"
example: "Conversions showed unusual spike of 200% on Friday, likely due to influencer mention"
context_types:
comparison:
- vs_target: "Target: $X, Actual: $Y (Z%)"
- vs_prior_period: "vs Last Week: +X%"
- vs_prior_year: "vs Last Year: +X%"
- vs_industry: "Industry Avg: X%, Our Performance: Y%"
benchmark:
- channel_benchmark: "Email avg open rate: 21%, Ours: 28%"
- competitor_context: "While competitors pulled back spend, we maintained"
explanation:
- why_up: "Driven by [factor1], [factor2]"
- why_down: "Impacted by [factor1], [factor2]"
- external_factor: "Industry-wide due to [event]"
User: "Weekly performance summary"
Skill generates:
1. Aggregate week's data
2. Compare to prior week
3. Highlight wins/concerns
4. Generate recommendations
Output:
"Weekly Marketing Performance
Week of Dec 2-8, 2025
Summary:
- Revenue: $342,100 (+22% vs last week)
- Spend: $125,432 (+12%)
- ROAS: 2.73x (target: 2.5x) ✅
- New Customers: 3,421 (+8%)
Top Win:
Holiday email campaign drove $45K revenue (32% of total)
with industry-leading 28% open rate
Area of Concern:
Paid social ROAS declined to 2.1x (from 2.5x)
- Cause: Increased competition during holiday
- Action: Refresh creative, test new audiences
Recommendations:
1. Double down on email (highest ROAS at 8.5x)
2. Test new social audiences before year end
3. Increase retargeting budget by 20%
Full report: .aiwg/marketing/reports/weekly-2025-12-08.md"
User: "How are we doing?"
Skill returns quick status:
"Marketing Performance Status
Period: MTD (Dec 1-8)
✅ On Track:
- Revenue: 105% of target
- Email: Exceeding all metrics
- Organic: Traffic up 12% MoM
⚠️ Watch:
- Paid social ROAS down 10%
- CAC creeping up (now $42 vs $38 target)
❌ Action Needed:
- Conversion rate drop on landing page
- Investigate and fix today
Overall: Solid performance, one issue to address"
User: "Prepare executive summary for leadership meeting"
Skill generates executive-ready report:
"Preparing Executive Marketing Summary...
Report: Q4 Marketing Performance Review
Key Highlights:
1. Revenue attribution: $1.2M (+18% YoY)
2. Marketing efficiency improved: CAC down 12%
3. Brand awareness: Share of voice up 5 points
Investment Recommendation:
Request 15% budget increase for Q1 based on:
- Proven ROAS of 3.2x
- Market opportunity in healthcare vertical
- Competitor pullback creating opportunity
Full report with visualizations prepared.
Location: .aiwg/marketing/reports/exec-q4-2025.md"
This skill uses:
data-pipeline: Source all marketing datacompetitive-intel: Market contextartifact-metadata: Track report versionsagents:
analysis:
agent: marketing-analyst
focus: Data analysis and insights
reporting:
agent: reporting-specialist
focus: Report formatting and visualization
strategy:
agent: campaign-strategist
focus: Recommendations and action items
schedule:
daily_digest:
time: "09:00"
timezone: "America/New_York"
recipients: [marketing_team]
weekly_summary:
day: "Monday"
time: "08:00"
recipients: [marketing_manager, director]
monthly_report:
day: 1
time: "08:00"
recipients: [leadership, finance]
thresholds:
green:
vs_target: ">= 100%"
vs_prior: ">= -5%"
yellow:
vs_target: "80-99%"
vs_prior: "-5% to -15%"
red:
vs_target: "< 80%"
vs_prior: "< -15%"
audience_config:
executive:
detail_level: high
focus: business_impact
length: brief
visualizations: summary_charts
manager:
detail_level: medium
focus: tactical_insights
length: moderate
visualizations: detailed_charts
team:
detail_level: detailed
focus: operational_metrics
length: comprehensive
visualizations: data_tables
.aiwg/marketing/reports/daily/.aiwg/marketing/reports/weekly/.aiwg/marketing/reports/monthly/.aiwg/marketing/reports/executive/