Analyze weekly marketing campaign performance data across channels. Use when analyzing multi-channel digital marketing data to calculate funnel metrics (CTR, CVR) and compare to benchmarks, compute cost and revenue efficiency metrics (ROAS, CPA, Net Profit), or get budget reallocation recommendations based on performance rules.
npx skills add https://github.com/datawhalechina/agent-skills-with-anthropic --skill analyzing-marketing-campaign
Automated analysis of multi-channel marketing campaign data.
Expects campaign data in CSV format with these columns:
Calculate per channel:
Compare to user-provided benchmarks, report difference in percentage points and provide brief interpretation for each channel. If benchmarks are not provided, use these historical values:
| Channel | CTR | CVR |
|---------|-----|-----|
| Facebook_Ads | 2.5% | 3.8% |
| Google_Ads | 5.0% | 4.5% |
| TikTok_Ads | 2.0% | 0.9% |
| Email | 15.0% | 2.1% |
Calculate per channel:
Compare to user-provided targets. If not provided, use these defaults:
Present results as tables with status indicators:
Funnel Analysis Table:
| Channel | CTR Actual | CTR Benchmark | CTR Diff | CVR Actual | CVR Benchmark | CVR Diff |
Efficiency Analysis Table:
| Channel | ROAS | Status | CPA | Status | Net Profit | Status |
Status indicators:
Follow each table with brief channel-by-channel interpretation highlighting key insights and recommended actions.
If user asks about budget reallocation, read references/budget_reallocation_rules.md for the complete decision framework including eligibility rules, performance-based actions, and constraints.
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Take datawhalechina/analyzing-marketing-campaign from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.