quality-score-trend

Analyze historical Google Ads Quality Score trends to attribute declines to specific components.

17|5|Updated Jun 25, 2026
One-click install
npx skills add https://github.com/portermetricsample/marketing-skills --skill quality-score-trend
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: quality-score-trend
Source: https://github.com/portermetricsample/marketing-skills/tree/main/google-ads/ads/quality-score
Command: npx skills add https://github.com/portermetricsample/marketing-skills --skill quality-score-trend

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill identifies the root cause of declining Google Ads Quality Scores, preventing the quiet erosion of ad rank and the creeping increase in CPC that occurs without platform alerts.

Core Features & Use Cases

  • Component Attribution: Automatically determines if a QS drop is caused by Expected CTR, Ad Relevance, or Landing Page Experience.
  • Trend Analysis: Processes historical QS data over weekly or monthly buckets to distinguish between temporary noise and sustained performance decay.
  • Actionable Routing: Provides specific recommendations to route issues to the appropriate fix skill, such as copy audits or landing page CRO.

Quick Start

Analyze the historical Quality Score trend for all search campaigns over the last quarter and identify which components are dragging down performance.

Frequently Asked Questions about quality-score-trend

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

FAQPage Schema
How do I diagnose the root cause of a Google Ads Quality Score drop?

To diagnose a Google Ads Quality Score drop, analyze historical search campaign data to attribute performance declines to specific components like Expected CTR, Ad Relevance, or Landing Page Experience. This isolates the exact factor eroding your ad rank.

Why does my CPC keep increasing without any Google Ads platform alerts?

CPC creeps up without alerts due to the quiet erosion of your Quality Score. Analyzing historical Quality Score trends over weekly or monthly buckets distinguishes temporary noise from sustained performance decay causing the CPC increase.

How do I track historical Quality Score trends for search campaigns?

Track historical Quality Score trends by processing search campaign data into weekly or monthly buckets. This requires Porter Metrics MCP integration to access the historical quality score metrics and component dimensions needed for analysis.

What should I do after identifying which component is dragging down my Quality Score?

After identifying the dragging component, route the issue to the appropriate fix skill. For example, route Ad Relevance issues to copy audits and Landing Page Experience issues to landing page CRO to resolve the Quality Score decay.

Does analyzing Quality Score trends require a specific integration?

Yes, analyzing Quality Score trends requires Porter Metrics MCP integration. This connection is necessary to access the historical quality score metrics and component dimensions required to perform the diagnostic analysis.

Can I distinguish temporary noise from sustained Quality Score decay?

Yes, you can distinguish temporary noise from sustained Quality Score decay by processing historical data over weekly or monthly buckets. This trend analysis isolates true performance erosion from short-term fluctuations.