Analyzing Marketing Campaign
Analyze weekly marketing campaign performance data across channels.
Install
npx skills add datawhalechina/agent-skills-with-anthropic --skill analyzing-marketing-campaign -g -a claude-code -y- Repository
- datawhalechina/agent-skills-with-anthropic1.6k
- Category
- Marketing
- Updated
- 2mo ago
- License
- See repository
- Context cost
- Lightabout 654 tokens
- Runs scripts
- No, instructions only
What it does
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.
Marketing Campaign Analysis
Automated analysis of multi-channel marketing campaign data.
Input Requirements
Expects campaign data in CSV format with these columns:
- date: Campaign date
- campaign_name: Campaign identifier
- channel: Marketing channel
- segment: Customer segment
- impressions: Ad impressions (empty for Email channel)
- clicks: Number of clicks
- conversions: Number of conversions
- spend: Marketing spend in dollars
- revenue: Revenue generated in dollars
- orders: Number of orders
Data Quality Check
- Check for missing values and empty cells (Email channel won't have impressions)
- Verify no negative values in numeric columns
- Flag anomalies (e.g., conversions without clicks)
Funnel Analysis
Calculate per channel:
- Click Through Rate (CTR) = clicks / impressions × 100
- Conversion Rate (CVR) = conversions / clicks × 100
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% |
| 15.0% | 2.1% |
Efficiency Analysis
Calculate per channel:
- Return On Ad Spend (ROAS) = revenue / spend
- Cost Per Acquisition (CPA) = spend / conversions
- Net Profit = revenue - Total Costs
- Total Costs = spend + (orders × Shipping Cost) + (revenue × Product Cost %)
- Unless user specifies different values, use:
- Shipping Cost: $8 per order
- Product Cost: 35% of revenue
Compare to user-provided targets. If not provided, use these defaults:
- Target ROAS: 4.0x minimum
- Max CPA: $50
Output Format
Present results as tables with status indicators:
Funnel Analysis Table: | Channel | CTR Actual | CTR Benchmark | CTR Diff | CVR Actual | CVR Benchmark | CVR Diff |
