backlink-gap
Find domains linking to your competitors but not to you, ranked by priority score (DR + link-overlap + traffic + topical relevance) with a four-gate quality…
Generate a marketing performance report with KPI tracking, trend analysis, anomaly detection, and recommendations
$ npx -y skills add indranilbanerjee/digital-marketing-pro --agent claude-codeHow it fires
How this command gets triggered: by you, by Claude, or both.
/performance-reportContext preview
What this command does when you run it.
Generate a marketing performance report with KPI tracking, trend analysis, anomaly detection, and recommendations
description: Generate a marketing performance report with KPI tracking, trend analysis, anomaly detection, and recommendations argument-hint: "<channels or period> [audience: executive|tactical]"
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS.md).
Generate a structured marketing performance report that transforms raw data into actionable insights. Covers KPI tracking, period-over-period trends, anomaly detection, channel benchmarking, and prioritized optimization recommendations.
User runs `/digital-marketing-pro:performance-report` or asks for a marketing report, performance review, channel analysis, or campaign results summary.
Gather the following from the user. If not provided, ask before proceeding:
1. **Reporting period** — date range for the report (e.g., "last 30 days", "Q1 2026", "Feb 1-28")
2. **Channels to cover** — which marketing channels to include:
3. **Data source** — raw performance data in any of these forms:
4. **Comparison period** — previous period, year-over-year, or custom benchmark
5. **Report audience** — who will read this:
6. **KPIs of interest** (optional) — specific metrics to focus on, or use defaults:
1. **Load brand context** — apply brand goals, targets, and industry benchmarks from the active profile
2. **Ingest data** — validate and normalize the provided performance data
3. **Calculate core KPIs** — per channel: traffic, conversions, revenue, ROAS, CPA, engagement metrics, growth rates
4. **Trend analysis** — period-over-period changes, trajectory direction, seasonality adjustments
5. **Anomaly detection** — flag significant spikes or drops with likely root causes:
6. **Benchmark comparison** — compare against industry averages and brand-specific targets
7. **Generate insights** — what worked, what underperformed, and hypotheses for why
8. **Produce recommendations** — prioritized optimizations for the next period, ranked by expected impact
| Channel | Sessions | Conversions | Revenue | ROAS | vs. Prior | Trend | |---------|----------|-------------|---------|------|-----------|-------|
| Metric | Change | Likely Cause | Recommended Action | |--------|--------|--------------|-------------------|
Flag any metric that moved more than 2 standard deviations from its trend.
**Immediate Actions (this week):**
**Strategic Adjustments (this month):**
**Next Period Goals:**
Ask: "Would you like me to:
Your agency just signed a 50-brand client. The previous agency left no playbook. Three brands are bleeding budget, two have stale positioning, one is launching in a regulated jurisdiction next month. Where do you start?
Repo: indranilbanerjee/digital-marketing-pro
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