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nazlicancaglar
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attribution-analyst

Compare attribution models and analyze conversion paths across marketing channels.

Updated Apr 13, 2026
Search Tags:#attribution#marketing-attribution#multi-touch#conversion-analysis#incrementality#channel-attribution
One-click install
npx skills add https://github.com/nazlicancaglar/nova-workflow --skill attribution-analyst
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: attribution-analyst
Source: https://github.com/nazlicancaglar/nova-workflow/tree/main/skills/analytics-reporting/attribution-analyst
Command: npx skills add https://github.com/nazlicancaglar/nova-workflow --skill attribution-analyst

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill answers the core marketing question of channel contribution by analyzing attribution across channels, touchpoints, and conversion paths so teams can make budget and strategy decisions based on causal impact rather than misleading last-click figures.

Core Features & Use Cases

  • Multi-model Comparison: Produce side-by-side allocations for last-click, first-click, linear, position-based, and data-driven models to reveal how credit shifts by methodology.
  • Assisted Conversions & Role Classification: Calculate assist ratios, classify channels as initiators, nurturers, or closers, and surface channels that are undervalued by last-click reporting.
  • Incrementality & Testing Guidance: Recommend holdout, geo, and conversion lift tests and interpret results to estimate true incremental value.
  • Use Case: For an e-commerce brand seeing declining ROAS, run a multi-model attribution report to reveal whether paid awareness channels are driving downstream conversions that are hidden by last-click metrics.

Quick Start

Run an attribution analysis for the previous quarter using conversion path logs and touchpoint data to compare attribution models and recommend budget adjustments.

Frequently Asked Questions about attribution-analyst

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

FAQPage Schema
How do I compare multi-touch attribution models to find my true channel contribution?▼

Multi-touch attribution compares last-click, first-click, linear, position-based, and data-driven models side-by-side to reveal how credit shifts. This exposes channels undervalued by last-click metrics so you can adjust budget based on actual conversion paths.

What is assisted conversion analysis and when do I need it for marketing campaigns?▼

Assisted conversion analysis calculates assist ratios and classifies channels as initiators, nurturers, or closers. You need it when last-click reporting hides the upstream value of awareness channels driving downstream conversions in your marketing campaigns.

How do I run an incrementality test to measure true marketing channel value?▼

Run incrementality tests by setting up holdout, geo, or conversion lift experiments to estimate true incremental value. The analysis interprets these results to measure causal impact rather than observed correlation in your touchpoint data.

What data do I need to perform cross-channel attribution reporting?▼

Cross-channel attribution requires conversion path logs, channel touchpoint timestamps, and assisted conversion metrics. Optionally, include experiment data or GA4 event data to support data-driven attribution and holdout testing.

Why does my last-click attribution model show declining ROAS for paid awareness channels?▼

Last-click attribution models show declining ROAS because they assign all credit to the final touchpoint, hiding how paid awareness channels initiate and nurture conversion paths upstream. Multi-model comparison reveals this hidden contribution.

Can I use GA4 event data for data-driven attribution and holdout testing?▼

Yes, you can use GA4 event data alongside conversion path logs and touchpoint timestamps to support data-driven attribution and holdout testing for more accurate channel contribution analysis.

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