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campaign-analytics

Analyze marketing campaign data with multi-touch attribution, funnel rates, and ROI calculations.

Updated Feb 27, 2026
Search Tags:#marketing#performance metrics#attribution#funnel optimization#campaign analysis#ROI calculation
One-click install
npx skills add https://github.com/amanhsn/flyerbuild --skill campaign-analytics-amanhsn
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: campaign-analytics
Source: https://github.com/amanhsn/flyerbuild/tree/main/.cursor/skills/campaign-analytics
Command: npx skills add https://github.com/amanhsn/flyerbuild --skill campaign-analytics-amanhsn

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill provides in-depth analysis of marketing campaign performance, enabling data-driven optimization for better ROI.

Core Features & Use Cases

  • Multi-Touch Attribution: Understand which channels contribute most to conversions using various models.
  • Funnel Analysis: Identify bottlenecks and conversion drop-offs across your marketing funnel.
  • ROI Calculation: Calculate key financial metrics to assess campaign profitability.
  • Use Case: A marketing manager can use this Skill to analyze the performance of their latest multi-channel campaign, understand which touchpoints led to conversions, identify where prospects are dropping off in the funnel, and calculate the overall ROI to justify future budget allocation.

Quick Start

Analyze the provided campaign data using all attribution models and generate a text report.

Frequently Asked Questions about campaign-analytics

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I perform multi-touch attribution for marketing campaigns?▼

Multi-touch attribution is performed using deterministic Python CLI tools that analyze which marketing channels contribute most to conversions. The Skill applies various attribution models to your campaign data to determine the value of each touchpoint without requiring external APIs or machine learning models.

Can I calculate campaign ROI and profitability without external API calls?▼

Yes, ROI calculation is performed using standard Python library operations that require no external API calls. The Skill computes key financial metrics to assess campaign profitability deterministically, ensuring repeatable results for budget allocation and performance justification.

What's the best way to identify conversion bottlenecks in a multi-channel marketing funnel?▼

Funnel analysis identifies bottlenecks and conversion drop-offs by calculating conversion rates across your marketing funnel stages. The Skill processes your campaign data to pinpoint exactly where prospects abandon the funnel, enabling targeted optimization for those specific stages.

Do I need machine learning models to run multi-touch attribution and ROI calculations?▼

No, multi-touch attribution and ROI calculations are performed using deterministic Python CLI tools. The Skill relies on standard library operations for repeatable results, deliberately requiring no external API calls or machine learning models for marketing optimization.

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