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attribution-modeling

Analyze marketing touchpoints with multi-touch attribution models to allocate revenue across channels.

Updated Feb 15, 2026
Search Tags:#customer journey#attribution#conversion tracking#marketing ROI#channel analysis#data-driven marketing
One-click install
npx skills add https://github.com/Ryko1141/Hedge-Edge-agentic --skill attribution-modeling
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: attribution-modeling
Source: https://github.com/Ryko1141/Hedge-Edge-agentic/tree/main/Analytics%20Agent/.agents/skills/attribution-modeling
Command: npx skills add https://github.com/Ryko1141/Hedge-Edge-agentic --skill attribution-modeling

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill eliminates the guesswork in marketing by precisely identifying which touchpoints drive signups, conversions, and revenue, enabling data-driven budget allocation.

Core Features & Use Cases

  • Multi-Touch Attribution: Apply various models (first-touch, last-touch, linear, time-decay, data-driven) to credit marketing channels.
  • Revenue Allocation: Distribute revenue across touchpoints to understand true ROI per channel.
  • Content & Campaign Analysis: Measure the impact of specific content pieces and marketing campaigns on conversions.
  • Use Case: Determine if investing more in YouTube content or paid ads will yield a higher return by analyzing which channels most effectively influence paid subscriptions.

Quick Start

Analyze marketing touchpoints for the last 90 days using the time-decay attribution model to understand revenue drivers.

Frequently Asked Questions about attribution-modeling

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

FAQPage Schema
How does multi-touch attribution connect marketing spend to revenue?▼

Multi-touch attribution connects marketing spend to revenue by analyzing touchpoints across channels like content, community, and paid ads to distribute conversion credit. This allocates revenue accurately, revealing true ROI per channel.

Can I analyze GA4 and Discord data together to measure marketing ROI?▼

Yes, you can analyze GA4 and Discord data together to measure marketing ROI. The model integrates data from GA4, Supabase, Creem.io, Discord, email, IB referral, and YouTube to evaluate touchpoint effectiveness.

What is the best way to allocate credit across marketing channels for paid subscriptions?▼

The best way to allocate credit for paid subscriptions is applying multi-touch attribution models like first-touch, last-touch, linear, time-decay, or data-driven. This identifies which channels most effectively influence conversions.

How do I determine if YouTube content or paid ads drive more conversions?▼

To determine if YouTube content or paid ads drive more conversions, analyze marketing touchpoints using time-decay or data-driven attribution models. This measures specific content and campaign impact to optimize budget allocation.

Do I need data from Supabase and Creem.io to track my customer journey?▼

You need data from Supabase and Creem.io alongside GA4, Discord, email, IB referral, and YouTube to fully track your customer journey. Integrating these sources allows precise analysis of touchpoint effectiveness and revenue allocation.

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