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google-ads-data-placement-analyst

Reconcile Google Ads API v17 and GA4 Data API metrics across 21 dimensions.

1|Updated Feb 15, 2026
Search Tags:#performance analysis#google ads#ga4#data reconciliation#audience management#tracking health
One-click install
npx skills add https://github.com/kayasinan/meta-ad-manager --skill google-ads-data-placement-analyst
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: google-ads-data-placement-analyst
Source: https://github.com/kayasinan/meta-ad-manager/tree/main/google-ads-data-placement-analyst
Command: npx skills add https://github.com/kayasinan/meta-ad-manager --skill google-ads-data-placement-analyst

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires google-ads-api, ga4-data-api, supabase-client, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill acts as the foundational data analyst for Google Ads, reconciling data from Google Ads and GA4 to provide a single source of truth for campaign performance and tracking health.

Core Features & Use Cases

  • Triple-Source Measurement: Verifies Google Ads data against GA4, calculating "Assumed Real" (AR) metrics for accurate decision-making.
  • Comprehensive Analysis: Analyzes performance across 21 campaign dimensions, identifies tracking issues, detects cannibalization, and audits quality scores.
  • Audience Construction: Builds and maintains all necessary Google Ads audiences and exclusions based on performance data.
  • Use Case: Automatically ingest daily Google Ads and GA4 data, flag any tracking discrepancies, identify underperforming segments, and build exclusion audiences to prevent wasted spend.

Quick Start

Run the google-ads-data-placement-analyst skill for the current cycle to ingest and analyze the latest Google Ads and GA4 data.

Frequently Asked Questions about google-ads-data-placement-analyst

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

FAQPage Schema
How do I reconcile Google Ads and GA4 data for accurate performance analysis?▼

To reconcile Google Ads and GA4 data, you need to ingest metrics from both platforms to establish triple-source measurement. This calculates verified 'Assumed Real' metrics, ensuring accurate performance analysis across 21 dimensions.

Why does my Google Ads tracking health show discrepancies compared to GA4?▼

Tracking health discrepancies between Google Ads and GA4 occur due to platform measurement differences. Ingesting and reconciling both data sources flags these inconsistencies, establishing a single source of truth for campaign performance.

How do I detect keyword cannibalization in Google Ads campaigns?▼

Detecting keyword cannibalization involves analyzing reconciled Google Ads and GA4 data across 21 campaign dimensions. This comprehensive analysis identifies overlapping keyword performance issues and audits quality scores.

Can I automatically build Google Ads audiences based on GA4 performance data?▼

Yes, you can build Google Ads audiences based on verified performance data. By reconciling GA4 metrics with Google Ads, you can construct and maintain necessary audiences and exclusions to prevent wasted spend.

What do I need to integrate Google Ads API v17 with GA4 Data API for measurement?▼

Integrating Google Ads API v17 with GA4 Data API requires connecting to both platforms and utilizing a Supabase client. This establishes triple-source measurement for identifying tracking issues and underperforming segments.

Does Google Ads data reconciliation identify underperforming campaign segments?▼

Yes, data reconciliation identifies underperforming segments by verifying Google Ads data against GA4. Analyzing performance across 21 dimensions highlights tracking issues and cannibalization, enabling accurate optimization decisions.

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