campaign-analytics
Production-grade marketing analytics for funnel conversion and campaign performance evaluation.
Install
mkdir -p .claude/skills/campaign-analytics-adamtasteslikegood && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/13884" && unzip -o skill.zip -d .claude/skills/campaign-analytics-adamtasteslikegood && rm skill.zipInstalls to .claude/skills/campaign-analytics-adamtasteslikegood
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Analyzes campaign performance with multi-touch attribution, funnel conversion, and ROI calculation for marketing optimizationKey capabilities
- →Perform multi-touch attribution with five models
- →Analyze funnel conversion rates and identify drop-offs
- →Calculate ROI, ROAS, CPA, CPL, and CAC metrics
- →Compare cross-channel performance with normalized metrics
- →Provide templates for A/B test documentation and analysis
- →Generate executive reports for campaign performance
How it works
The skill processes campaign data from JSON files using Python CLI tools to perform attribution modeling, funnel analysis, and ROI calculations.
Inputs & outputs
When to use campaign-analytics
- →Calculate ROI and ROAS for a campaign
- →Analyze funnel conversion drop-off points
- →Run multi-touch attribution models
About campaign-analytics
Performs multi-touch attribution, funnel stage analysis, and ROI/ROAS calculations. Processes campaign data to identify drop-offs and compare channel performance.
Analyzes campaign performance with multi-touch attribution, funnel conversion, and ROI calculation for marketing optimization
When not to use it
- →Statistical significance testing is required for A/B tests
- →Real-time data connections or API integrations are needed
- →Datasets exceeding 100K journeys are being analyzed
Limitations
- →The skill does not perform statistical significance testing
- →The skill is suitable for most campaign sizes but not optimized for datasets exceeding 100K journeys
- →The skill performs offline analysis of static JSON snapshots
How it compares
This skill provides deterministic, repeatable campaign analytics using standard library Python tools, offering a transparent and auditable alternative to black-box analytics platforms.
Compared to similar skills
campaign-analytics side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| campaign-analytics (this skill) | 0 | 5mo | Review | Intermediate |
| google-analytics | 43 | 7mo | Review | Intermediate |
| quant-analyst | 103 | 2mo | No flags | Advanced |
| stock-analyzer | 71 | 2mo | Review | Beginner |
Try saying
Example prompts that trigger this skill in your AI assistant.
More by adamtasteslikegood
View all by adamtasteslikegood →You might also like
google-analytics
davila7
Analyze Google Analytics data, review website performance metrics, identify traffic patterns, and suggest data-driven improvements. Use when the user asks about analytics, website metrics, traffic analysis, conversion rates, user behavior, or performance optimization.
quant-analyst
zenobi-us
Expert quantitative analyst specializing in financial modeling, algorithmic trading, and risk analytics. Masters statistical methods, derivatives pricing, and high-frequency trading with focus on mathematical rigor, performance optimization, and profitable strategy development.
stock-analyzer
FrancyJGLisboa
Provides comprehensive technical analysis for stocks and ETFs using RSI, MACD, Bollinger Bands, and other indicators. Activates when user requests stock analysis, technical indicators, trading signals, or market data for specific ticker symbols.
data-engineering
pluginagentmarketplace
ETL pipelines, Apache Spark, data warehousing, and big data processing. Use for building data pipelines, processing large datasets, or data infrastructure.
math-tools
ananddtyagi
Deterministic mathematical computation using SymPy. Use for ANY math operation requiring exact/verified results - basic arithmetic, algebra (simplify, expand, factor, solve equations), calculus (derivatives, integrals, limits, series), linear algebra (matrices, determinants, eigenvalues), trigonometry, number theory (primes, GCD/LCM, factorization), and statistics. Ensures mathematical accuracy by using symbolic computation rather than LLM estimation.
crawl4ai
basher83
This skill should be used when users need to scrape websites, extract structured data, handle JavaScript-heavy pages, crawl multiple URLs, or build automated web data pipelines. Includes optimized extraction patterns with schema generation for efficient, LLM-free extraction.