google-ads-analysis

Analyze Google Ads campaign performance using GAQL metrics and anomaly detection.

1|2|Updated May 21, 2026
One-click install
npx skills add https://github.com/itallstartedwithaidea/claude-googleadsagent --skill google-ads-analysis
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: google-ads-analysis
Source: https://github.com/itallstartedwithaidea/claude-googleadsagent/tree/main/skills/google-ads-analysis
Command: npx skills add https://github.com/itallstartedwithaidea/claude-googleadsagent --skill google-ads-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps you understand why your Google Ads campaigns are underperforming by turning raw GAQL metrics into clear diagnoses of cost, efficiency, and delivery changes.

Core Features & Use Cases

  • Structured GAQL campaign reporting: Produces campaign, keyword, and search-term performance views over defined date ranges.
  • Anomaly detection and wasted-spend identification: Flags zero-conversion spend, CPA/CTR spikes, budget-capped scenarios, and impression-share losses with severity.
  • Actionable recommendations: Converts metric deltas into prioritized next steps for optimization and budget decisions, including keyword/search-term focus.

Quick Start

Ask it to analyze the last 30 days of your Google Ads account and identify anomalies, wasted spend, and the highest-impact recommendations.

Frequently Asked Questions about google-ads-analysis

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

FAQPage Schema
How do I find wasted spend in my Google Ads campaigns?

Identify wasted spend in Google Ads by querying GAQL for zero-conversion keywords and search terms, then applying threshold-based anomaly detection to flag budget-capped scenarios and severity-ranked inefficiencies.

How do I detect ROAS and CPA anomalies in Google Ads reporting?

Detect ROAS and CPA anomalies in Google Ads by querying GAQL for metric deltas across reporting dimensions, applying threshold-based logic to flag CPA or CTR spikes, and outputting structured tables with severity rankings.

What is the best way to diagnose impression-share loss and CTR trends in Google Ads?

Diagnose impression-share loss and CTR trends by running GAQL queries across device and geographic breakdowns, formatting micros-to-currency values, and comparing efficiency metrics to identify delivery drops.

Can I analyze Google Ads search terms and keyword efficiency using GAQL?

Analyze search terms and keyword efficiency using GAQL by querying spend, clicks, and conversions, applying rate-limit-aware filtering with LIMIT clauses, and generating prioritized optimization recommendations.

How do I get optimization recommendations for underperforming Google Ads campaigns?

Get optimization recommendations for underperforming Google Ads campaigns by converting metric deltas from GAQL queries into prioritized next steps, focusing on keyword and search-term waste reduction and budget decisions.

What are the limitations of using GAQL for Google Ads campaign analysis?

Limitations of GAQL for Google Ads campaign analysis include requiring rate-limit-aware querying with LIMIT clauses and filters, and needing micros-to-currency formatting to accurately interpret raw metric outputs.