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analytics-attribute-conversion-path

Analyzes multi-touch attribution models to compare marketing channel contributions and recommend budget allocation.

1|Updated Apr 20, 2026
Search Tags:#marketing analytics#attribution#ga4#multi-touch#budget allocation#ad platforms#conversion path
One-click install
npx skills add https://github.com/ntd237/draft_toolkits_20042026 --skill analytics-attribute-conversion-path-ntd237
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: analytics-attribute-conversion-path
Source: https://github.com/ntd237/draft_toolkits_20042026/tree/main/other-skills/marketing-skills/analytics-attribute-conversion-path
Command: npx skills add https://github.com/ntd237/draft_toolkits_20042026 --skill analytics-attribute-conversion-path-ntd237

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Ad platforms like Meta, Google, and TikTok each claim credit for the same conversions, making it impossible to know which channel truly drives results and where to allocate budget. ## Core Features & Use Cases - Multi-Model Attribution Comparison: Applies Last-Touch, First-Touch, U-Shaped, Time-Decay, and Data-Driven models to the same conversion paths for a complete view of channel value. - Overlap De-duplication: Reconciles conflicting self-reported conversion numbers from ad platforms against GA4 and CRM ground truth. - Budget Reallocation Recommendations: Classifies each channel as Introducer, Influencer, or Closer and proposes evidence-based budget shifts. - Use Case: A client asks whether to increase spend on Meta or TikTok. The skill analyzes conversion paths, reveals TikTok as the top-of-funnel demand generator, and produces an attribution report saved to docs/marketing-projects/<client-slug>/analytics/attribution-model.md. ## Quick Start Ask the assistant to analyze attribution and determine which marketing channel truly drives conversions using your GA4 and ad platform data.

Frequently Asked Questions about analytics-attribute-conversion-path

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

FAQPage Schema
How do I analyze multi-touch attribution across ad platforms?▼

Collect conversion path data from GA4 showing the sequence of touchpoints before purchase, then apply multiple attribution models such as Last-Touch, First-Touch, U-Shaped, and Data-Driven to compare each channel's contribution from different perspectives.

Why do Meta and Google Ads report more conversions than actual sales?▼

Attribution overlap occurs when a customer interacts with multiple platforms before buying, and each platform claims 100% credit. De-duplicate by comparing self-reported platform numbers against actual conversions recorded in your CRM or GA4.

Which attribution model should I use for budget allocation?▼

No single model is sufficient. Compare at least three models such as Last-Touch, First-Touch, and U-Shaped or Data-Driven, since Last-Touch alone undervalues top-of-funnel channels like TikTok and Meta that generate initial demand.

When should I avoid using Last-Touch attribution?▼

Avoid relying solely on Last-Touch for high-value products or purchase cycles longer than 14 days, because it credits only the final channel and ignores the awareness and nurturing touchpoints that made the conversion possible.

What data is needed to run an attribution analysis?▼

You need conversion path data from GA4 showing touchpoint sequences, self-reported conversion numbers from each ad platform, average path length and time lag metrics, and actual order counts from your internal CRM system.

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