google-ads-analyzer

Diagnose Google Ads Quality Score and Impression Share by analyzing Expected CTR, Ad Relevance, and Landing Page Experience components, and identifying IS losses attributed to budget or rank constraints to pinpoint performance gaps.

Use GAQL queries to pull Google Ads metrics across campaigns, ad groups, keywords, and search terms, applying two-period comparisons to generate structured, executive-ready reports that highlight performance shifts and actionable insights.

Yes, you can evaluate Performance Max campaigns and Smart Bidding performance by analyzing asset groups, identifying cannibalization risks, and generating prioritized recommendations for stakeholders based on structured data analysis.

Yes, you need MCC-accessible Google Ads context to run analysis, as the process enforces MCC access validation, currency identification, and cost_micros conversion normalization to ensure accurate reporting across accounts.

The Google Ads reporting explicitly handles primary versus all conversions by enforcing specific reporting rules during data normalization, ensuring accurate conversion tracking and preventing metric misalignment in the final structured reports.

The best way to generate actionable recommendations from Google Ads data is to run structured GAQL queries, compare periods across campaigns and keywords, and translate raw metrics into concise executive summaries with prioritized optimization steps.