ads-attribution

Audit cross-platform attribution configurations across GA4, Google Ads, Consent Mode V2, and iOS AdAttributionKit.

8|5|Updated Feb 18, 2026
One-click install
npx skills add https://github.com/shenxingy/Clade --skill ads-attribution
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ads-attribution
Source: https://github.com/shenxingy/Clade/tree/main/configs/skills/ads-attribution
Command: npx skills add https://github.com/shenxingy/Clade --skill ads-attribution

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

It identifies and diagnoses attribution loss caused by misconfigured GA4 models, Consent Mode V2 enforcement, iOS ATT/SKAdNetwork-to-AdAttributionKit setups, and broken cross-device/server-side stitching that can mis-attribute a large share of conversions.

Core Features & Use Cases

  • Cross-platform attribution stack audit: Checks GA4 attribution model choice, Google Ads conversion settings, Meta CAPI, Apple Ads/AdAttributionKit configuration, and MMP integration health across web, iOS, Android, and server-side.
  • Surface-by-surface health scoring: Evaluates iOS attribution windows (including view-through), web conversion windows and lag, Consent Mode V2 mode/behavioral modeling readiness, and deduplication/stitching quality.
  • Remediation plan with quick wins: Produces an action-focused findings report including an attribution map and prioritized fixes to recover modeled conversion signal.

Quick Start

Ask the AI to run the ads-attribution audit and produce an Attribution Health Score plus a remediation plan for your GA4, Consent Mode V2, iOS AdAttributionKit/ATT, server-side stitching, and MMP (AppsFlyer/Adjust/Branch/Singular) setup.

Frequently Asked Questions about ads-attribution

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

FAQPage Schema
How do I audit cross-platform attribution health for GA4 and Consent Mode V2?

To audit cross-platform attribution health, evaluate your GA4 attribution models and Consent Mode V2 enforcement to identify conversion misattribution and signal loss. This process checks configuration across web, iOS, and server-side surfaces to produce a remediation plan.

Why does conversion misattribution happen when migrating SKAdNetwork to AdAttributionKit?

Conversion misattribution during SKAdNetwork to AdAttributionKit migration happens due to misconfigured iOS ATT settings and attribution windows. Auditing these iOS surfaces alongside your MMP integration identifies signal loss and provides prioritized fixes to recover modeled conversions.

What is the best way to validate server-side stitching and cross-device attribution mapping?

The best way to validate server-side stitching and cross-device attribution mapping is to perform a surface-by-surface health check. This assesses deduplication quality and stitching logic across your web and mobile measurement stacks to prevent broken conversion paths.

Can I use this attribution audit to check MMP integration health across iOS and Android?

Yes, you can use this attribution audit to check MMP integration health across iOS and Android. It evaluates whether your MMP setup correctly interfaces with Apple Ads, AdAttributionKit, and Google Ads to prevent conversion tracking discrepancies.

How do I fix Consent Mode V2 behavioral modeling readiness for Google Ads?

To fix Consent Mode V2 behavioral modeling readiness for Google Ads, audit your current consent enforcement configuration. This identifies whether your setup properly supports modeled conversions when full user consent is unavailable.

What are the limitations of relying solely on GA4 attribution models without server-side stitching?

Relying solely on GA4 attribution models without server-side stitching limits cross-device attribution accuracy and increases signal loss. An attribution health audit reveals these constraints by scoring your web conversion windows and deduplication quality.