Collect GA4 and Google Ads data into a structured JSON payload.
npx skills add https://github.com/fourteenwm/ppc-ai-skills --skill ga4-cross-analysis
Please help me install this Agent Skill. Skill: ga4-cross-analysis Source: https://github.com/fourteenwm/ppc-ai-skills/tree/main/ga4-cross-analysis Command: npx skills add https://github.com/fourteenwm/ppc-ai-skills --skill ga4-cross-analysis
Consolidates GA4 and Google Ads data for cross-platform analysis, enabling faster lead-quality investigations, robust conversion analysis, and richer audience insights.
Invoke the GA4 cross-analysis with your Customer ID, GA4 property ID, campaign name, and event name to retrieve merged data.
High-intent search queries and answers about installing and using this skill.
Combining GA4 and Google Ads data for cross-platform campaign analysis requires a tool that collects metrics from both platforms. This consolidates performance and conversion data to enable faster lead-quality investigations and structured reporting.
Cross-platform lead-quality investigation analyzes merged Google Ads campaign settings and GA4 conversion data. It identifies audience insights and verifies inputs to evaluate lead authenticity across different campaigns within a structured JSON payload.
Yes, you need a Google Ads dependency to analyze GA4 conversion data alongside ad performance. The integration requires your Customer ID, GA4 property ID, campaign name, and event name to pull and verify data successfully.
It handles missing inputs, invalid campaigns, and empty date ranges by applying built-in error handling during data collection. This ensures the structured JSON payload is only generated from verified, valid cross-platform inputs before output.
Yes, you can output GA4 and Google Ads cross-analysis results as markdown. The tool produces a structured JSON payload suitable for agents, with optional markdown review views for easier human readability and interpretation.
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