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Campaign Analytics

技能 已验证 活跃

Analyzes campaign performance with multi-touch attribution, funnel conversion analysis, and ROI calculation for marketing optimization. Use when analyzing marketing campaigns, ad performance, attribution models, conversion rates, or calculating marketing ROI, ROAS, CPA, and campaign metrics across channels.

目的

To provide data-driven insights for optimizing marketing campaigns by analyzing multi-touch attribution, funnel performance, and return on investment.

功能

  • Multi-touch attribution modeling (5 models)
  • Funnel conversion rate and bottleneck analysis
  • ROI, ROAS, CPA, CPL calculation
  • Industry benchmark comparisons
  • Standard library Python tools for cross-platform compatibility
  • JSON and text output formats

使用场景

  • Analyzing the effectiveness of different marketing channels.
  • Identifying drop-off points in the customer journey.
  • Calculating and optimizing marketing spend for profitability.
  • Benchmarking campaign performance against industry standards.

非目标

  • Real-time data connection or API integration.
  • Advanced statistical modeling or machine learning.
  • Cross-device tracking or identity resolution.
  • Currency conversion or multi-currency support.

工作流

  1. Prepare campaign data in JSON format.
  2. Run `attribution_analyzer.py` to understand channel credit.
  3. Run `funnel_analyzer.py` to identify conversion bottlenecks.
  4. Run `campaign_roi_calculator.py` to calculate profitability and benchmarks.
  5. Review results to inform budget reallocation and optimization strategies.

实践

  • Attribution modeling
  • Funnel optimization
  • ROI analysis
  • Performance benchmarking

先决条件

  • Python 3 environment

安装

请先添加 Marketplace

/plugin marketplace add alirezarezvani/claude-skills
/plugin install marketing-skill@claude-code-skills

质量评分

已验证
98 /100
1 day ago 分析

信任信号

最近提交1 day ago
星标14.6k
许可证MIT
状态
查看源代码

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