What are the Traffic Quality Matrix categories?

The skill categorizes content into four quadrants: Stars (high traffic/quality), Hidden Gems (low traffic/high quality), Leaky (high traffic/low quality), and Underperforming (low traffic/low quality).

How does the Content Health Score work?

It calculates a score from 0-100 based on weighted factors including engagement (30%), SEO performance (30%), ranking visibility (20%), and traffic trends (20%).

Can it help identify why my traffic is dropping?

Yes, it includes an anomaly detection system that flags significant changes in traffic, CTR, and position, providing common causes like algorithm updates or technical issues.

What platforms can this Claude Code skill analyze?

This skill is designed to interpret data from Google Analytics 4 (GA4), Google Search Console (GSC), and SE Ranking.

SEO Analytics Interpretation

Name: SEO Analytics Interpretation
Author: involvex

byinvolvex

Marketing Automation

Interprets GA4, GSC, and SE Ranking data to provide actionable insights and benchmarks for content optimization.

About

The Analytics Interpretation skill transforms raw data from Google Analytics 4, Google Search Console, and SE Ranking into strategic growth opportunities. It enables Claude to evaluate content performance through a sophisticated Content Health Score, identify traffic patterns using a Quality Matrix, and provide specific recommendations for improving engagement and search visibility. Whether you are analyzing search intent alignment or presenting performance summaries to stakeholders, this skill provides the benchmarks and templates needed for professional data-driven decision-making.

Key Features

Comprehensive benchmarks for GA4, GSC, and SE Ranking metrics
Traffic Quality Matrix for identifying 'Hidden Gems' and 'Leaky' content
Executive summary and metric summary card output templates
Automated Content Health Score (0-100) calculation methodology
Search intent alignment analysis based on CTR and engagement signals
0 GitHub stars

Use Cases

Explaining complex SEO and traffic metrics to non-technical stakeholders
Identifying search intent mismatches through combined GSC and GA4 signal analysis
Conducting deep-dive performance audits for existing blog posts and landing pages

About

Key Features

Comprehensive benchmarks for GA4, GSC, and SE Ranking metrics
Traffic Quality Matrix for identifying 'Hidden Gems' and 'Leaky' content
Executive summary and metric summary card output templates
Automated Content Health Score (0-100) calculation methodology
Search intent alignment analysis based on CTR and engagement signals
0 GitHub stars

Use Cases

Explaining complex SEO and traffic metrics to non-technical stakeholders
Identifying search intent mismatches through combined GSC and GA4 signal analysis
Conducting deep-dive performance audits for existing blog posts and landing pages