How does this skill help improve my website's SEO?

It provides diagnostic patterns that correlate visibility data from Google Search Console with engagement data from Google Analytics 4, allowing you to pinpoint exactly why a page is underperforming.

Does this skill automatically connect to my Google accounts?

No, you provide the metrics from GSC and GA4, and the skill uses its built-in logic to analyze that data against proven SEO correlation patterns and frameworks.

What kind of ranking issues can it help diagnose?

It can identify issues such as keyword decay, position volatility, search intent mismatches, weak E-E-A-T signals, and ineffective meta descriptions.

How do I measure the success of my content changes?

The skill provides a Correlation Confidence Assessment and Metric Response Analysis template to map specific updates to changes in CTR, position, and time on page.

Can I use this skill to track A/B testing results?

Yes, the skill includes specialized templates for building hypotheses and tracking metric responses to specific content changes over defined periods.

SEO Performance Correlation

Name: SEO Performance Correlation
Author: MadAppGang

byMadAppGang

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211

Automatización de Marketing

Correlates content attributes with Google Search Console and GA4 metrics to identify search performance drivers and optimization opportunities.

Acerca de

This skill empowers users to bridge the gap between content modifications and search performance by identifying patterns across Google Search Console (GSC) and Google Analytics 4 (GA4). It provides a structured framework for diagnosing common SEO issues—such as low CTR despite high rankings or poor engagement despite high traffic—and offers actionable strategies to resolve them. By utilizing standardized correlation matrices and hypothesis templates, users can systematically track the impact of their SEO efforts and make data-driven decisions to improve search visibility, user retention, and overall site performance.

Características Principales

Build and validate optimization hypotheses with built-in risk assessment and success criteria.
Diagnose specific performance bottlenecks like high-impression/low-CTR or position volatility.
211 GitHub stars
Identify cross-source correlation patterns between GSC visibility and GA4 engagement metrics.
Generate actionable SEO recommendations based on evidence-backed data patterns.
Track content changes and metric responses using standardized timeline and change log templates.

Casos de Uso

Identifying search intent mismatches for high-traffic pages with high bounce rates.
Analyzing the direct impact of content refreshes on rankings and user engagement over time.
Diagnosing why pages with high search impressions are failing to convert into clicks.

Acerca de

Características Principales

Build and validate optimization hypotheses with built-in risk assessment and success criteria.
Diagnose specific performance bottlenecks like high-impression/low-CTR or position volatility.
211 GitHub stars
Identify cross-source correlation patterns between GSC visibility and GA4 engagement metrics.
Generate actionable SEO recommendations based on evidence-backed data patterns.
Track content changes and metric responses using standardized timeline and change log templates.

Casos de Uso

Identifying search intent mismatches for high-traffic pages with high bounce rates.
Analyzing the direct impact of content refreshes on rankings and user engagement over time.
Diagnosing why pages with high search impressions are failing to convert into clicks.