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campaign-analysis

Aggregate Google Ads, Meta, GA4, and Search Console data to investigate campaign anomalies.

Updated Mar 15, 2026
Search Tags:#analytics#optimization#cross-platform#knowledge-management#search-console#ga4#campaign-analysis
One-click install
npx skills add https://github.com/cshyang/nochore --skill campaign-analysis
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: campaign-analysis
Source: https://github.com/cshyang/nochore/tree/main/capabilities/skills/campaign-manager
Command: npx skills add https://github.com/cshyang/nochore --skill campaign-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyze campaign performance across Google Ads, Meta, GA4, and Search Console to build accumulated knowledge, identify root causes, and guide optimization decisions.

Core Features & Use Cases

  • Cross-platform campaign analysis and knowledge accumulation
  • Investigation of CPL/CVR, and generation of client reports
  • Knowledge management with memory-informed recommendations

Quick Start

Provide a client context and request an end-to-end campaign analysis across Google Ads, Meta, GA4, and Search Console to identify root causes and actionable next steps.

Frequently Asked Questions about campaign-analysis

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

FAQPage Schema
How do I analyze campaign performance across Google Ads, Meta, GA4, and Search Console in one place?▼

Cross-platform campaign analysis aggregates data from Google Ads, Meta, GA4, and Search Console to identify root causes and guide optimization. It streamlines cross-channel insights by unifying CPL, CVR, and volume metrics into a single review.

What is the best way to investigate CPL and CVR anomalies across multiple advertising platforms?▼

Investigating CPL and CVR anomalies requires loading historical data and KPI metrics to perform root-cause analysis. A configurable CLI workflow runs checks, investigates volume drops, and generates actionable reports.

Can I use historical data to inform campaign optimization recommendations for multiple brands?▼

Yes, memory-informed recommendations use accumulated historical knowledge to guide optimization for multiple brands. The system stores past investigation results to provide context-aware next steps during ad-hoc reviews.

Does cross-channel campaign analysis support monthly reviews and ad-hoc investigations?▼

Cross-channel campaign analysis supports both scheduled monthly reviews and ad-hoc investigations. A configurable CLI workflow loads client context, runs metric checks, investigates anomalies, and generates end-to-end reports.

How do I generate client reports from GA4 and Search Console data for campaign analysis?▼

Generating client reports involves aggregating GA4 and Search Console data alongside Google Ads and Meta metrics. The analysis derives actionable insights by cross-referencing historical KPI data to identify root causes before recommending actions.

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