Skill UI

This Python toolset provides production-grade campaign performance analysis including multi-touch attribution modeling, funnel conversion analysis, and ROI calculation. It includes three CLI tools for analyzing ROAS, CPA, and channel effectiveness without external dependencies. Ideal for marketing teams reviewing ad spend and optimizing budget allocation based on deterministic analytics.

This skill provides comprehensive guidance on performance measurement, advanced attribution modeling, and marketing ROI analysis. Use it when setting up detailed tracking systems, analyzing campaign channel performance, building multi-touch attribution models (like Data-Driven or Linear), or generating strategic marketing reports covering KPIs like CAC and LTV.

A comprehensive tool for designing, mapping, and optimizing end-to-end marketing and sales funnels. It assists in customer journey mapping, attribution modeling, conversion path diagnosis, and gap analysis across various business models (B2B SaaS, e-commerce, etc.). Ideal for improving lead nurture flows and maximizing conversion rates.

A comprehensive tool for creating and updating highly specific audience segments across multiple platforms (CRM, Email, Ad Networks). Users can define segments using advanced criteria, including RFM modeling, behavioral data (page views, purchases), demographic details, and engagement status. This ensures campaigns are targeted precisely, supports cross-platform synchronization, and maintains clear documentation for reproducibility.