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.
The English summary is being prepared. Showing the original description.
See how to installReview the instructions the agent will receive before you install.
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% |
| 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.
No reviews yet. Tell others what you thought.
No login needed. Share how it worked for you, ask a question, or note where it did not run.
No comments yet. Be the first to write one.
Provides Typer templates, handles registration, and ensures consistency. ALWAYS use this skill when adding or modifying CLI commands. Use when user requests to add/create/implement/build/write a new command (e.g., "add edit command", "create search feature") OR update/modify/change/edit an existing command.
The English summary is being prepared. Showing the original description.
Comprehensive diagnostic analysis of time series data. Use when users provide CSV time series data and want to understand its characteristics before forecasting - stationarity, seasonality, trend, forecastability, and transform recommendations.
The English summary is being prepared. Showing the original description.
CraftedWell brand guidelines for presentations and documents. Use this skill whenever creating or styling documents (docx, pdf) or presentations (pptx) for CraftedWell. Apply warm, artisanal aesthetic with chocolate/caramel color palette, Georgia headings, and Arial body text.
The English summary is being prepared. Showing the original description.
Generate pytest tests for Typer CLI commands. Includes fixtures (temp_storage, sample_data), CliRunner patterns, confirmation handling (y/n/--force), and edge case coverage. Use when user asks to "write tests for", "test my CLI", "add test coverage", or any CLI + test request.
The English summary is being prepared. Showing the original description.
Generate educational practice questions from lecture notes to test student understanding. Use when users request practice questions, exam preparation materials, study guides, or assessment items based on lecture content.
The English summary is being prepared. Showing the original description.
Create learning paths for programming tools, and define what information should be researched to create learning guides. Use when user asks to learn, understand, or get started with any programming tool, library, or framework.
The English summary is being prepared. Showing the original description.