| name | performance-report |
| description | Turn marketing data into a stakeholder-ready performance report: executive summary, channel-by-channel KPI dashboard, trend analysis, anomaly alerts with root-cause hypotheses, and recommendations ranked by expected impact — formatted for an executive or tactical audience. Triggers on "/digital-marketing-pro:performance-report", "write the monthly performance report", "summarize campaign results for stakeholders", "why did performance change last quarter", "turn these metrics into a report". Consumes snapshots persisted by /digital-marketing-pro:performance-check rather than re-pulling platforms itself; reads the brand profile, custom templates, and agency SOPs. Hands deeper anomaly diagnosis to /digital-marketing-pro:anomaly-scan. |
| argument-hint | [time-period] |
/digital-marketing-pro:performance-report
Purpose
Generate a structured marketing performance report that transforms raw data into insights. Covers KPI tracking, trend analysis, anomaly detection, and prioritized recommendations for optimization.
Scope (vs /digital-marketing-pro:performance-check): this skill is the narrative formatting layer — it turns metrics into a stakeholder-ready deliverable (executive summary, channel commentary, trend narrative, prioritized recommendations, audience-appropriate formatting). It consumes the live pulls and persisted snapshots that /digital-marketing-pro:performance-check produces rather than re-pulling from the platforms itself. Use performance-check to see the numbers now; use performance-report to tell the story. For deeper anomaly diagnosis, hand off to /digital-marketing-pro:anomaly-scan.
Input Required
The user must provide (or will be prompted for):
- Reporting period: Date range for the report
- Channels to cover: Which marketing channels to include (all, or specific ones)
- Data source: Raw data (paste, CSV, or connected platform)
- KPIs of interest: Specific metrics to focus on (or use defaults for the channel)
- Comparison period: Previous period, YoY, or custom benchmark
- Audience: Who will read the report (executive summary vs. tactical detail)
Process
- Load brand context: Read
~/.claude-marketing/brands/_active-brand.json for the active slug, then load ~/.claude-marketing/brands/{slug}/profile.json. Apply brand voice, compliance rules for target markets (skills/context-engine/compliance-rules.md), and industry context. Also check for guidelines at ~/.claude-marketing/brands/{slug}/guidelines/_manifest.json — if present, load restrictions and relevant category files. Check for custom templates at ~/.claude-marketing/brands/{slug}/templates/. Check for agency SOPs at ~/.claude-marketing/sops/. If no brand exists, ask: "Set up a brand first (/digital-marketing-pro:brand-setup)?" — or proceed with defaults.
- Ingest and validate the provided performance data
- Calculate core KPIs per channel: traffic, conversions, revenue, ROAS, CPA, engagement, growth. Break out GA4's "AI Assistant" default channel (referrals from ChatGPT, Gemini, Copilot, Perplexity, etc.) as its own line so AI-sourced traffic and conversions are visible rather than folded into Referral/Direct
- Run trend analysis: period-over-period changes, trajectory, seasonality adjustments
- Detect anomalies: significant spikes or drops with likely root causes
- Benchmark against industry averages and brand targets
- Generate insights: what worked, what underperformed, and why
- Produce prioritized recommendations for the next period
- Format report for the specified audience (executive vs. tactical)
Output
A structured performance report containing:
- Executive summary with headline metrics and overall assessment
- Channel-by-channel KPI dashboard with period-over-period comparison
- Trend analysis with visualizable data points
- Anomaly alerts with root cause hypotheses
- Top wins and underperformers with context
- Actionable recommendations ranked by expected impact
- Next period goals and focus areas
Agents Used
- analytics-analyst — Data analysis, KPI calculation, trend detection, anomaly identification, recommendations
