Explore Quality Score using your Google Ads data
Quality Score in Google Ads
Quality Score is a critical metric that determines your Google Ads performance and cost efficiency. Google Ads holds rich data on keyword relevance, ad copy performance, and landing page experience—the three pillars that comprise Quality Score. This data enables advertisers to understand why certain keywords cost more, which ad variations drive better engagement, and how landing page quality impacts campaign ROI. Quality Score directly influences your cost-per-click, ad position, and overall campaign profitability.
Analyzing Quality Score manually creates significant challenges. In spreadsheets, you’re dealing with countless keyword-ad group-campaign combinations, making it nearly impossible to identify patterns without formula errors or overlooked segments. Maintaining these analyses as campaigns evolve becomes extremely time-consuming. Google Ads’ built-in reporting provides basic Quality Score data but offers limited segmentation options and rigid outputs. You can’t easily explore questions like “which Quality Score components are dragging down performance in specific product categories?” or “how does Quality Score vary by device type and time of day?”
Count transforms this complex analysis by automatically connecting your Google Ads data and enabling deep exploration of Quality Score patterns. You can instantly segment by any dimension, identify improvement opportunities, and understand the relationship between Quality Score and your broader campaign performance without manual data manipulation.
Questions You Can Answer
What is the average quality score across all my Google Ads campaigns?
This foundational question reveals your overall account health and provides a baseline for optimization efforts, helping you understand where your ads stand in Google’s quality assessment.
Which keywords have quality scores below 5 and how much more am I paying due to low scores?
Identifying underperforming keywords and their cost impact helps prioritize optimization efforts, showing exactly where poor quality scores are inflating your cost-per-click and reducing ad visibility.
How do quality scores vary by match type and device category in my campaigns?
This analysis uncovers whether broad match keywords or specific devices (mobile vs. desktop) consistently show lower quality scores, revealing targeting and user experience issues that need attention.
Show me the correlation between quality score and conversion rate by ad group over the last 90 days.
Understanding how quality score impacts actual business outcomes helps validate Google’s quality assessment and identifies high-performing ad groups that can serve as templates for improvement.
Which campaigns have improving quality score trends but declining click-through rates, and what’s driving this disconnect?
This sophisticated analysis reveals potential issues with ad relevance or landing page experience, helping you understand why technical improvements aren’t translating to user engagement.
Compare quality scores across different campaign types and geographic locations to identify optimization opportunities.
This comprehensive view helps identify systematic issues across your account structure and reveals whether certain markets or campaign strategies consistently deliver better quality scores.
How Count Analyses Quality Score
Count’s AI agent creates bespoke Quality Score analyses tailored to your specific Google Ads questions—no rigid templates, just custom SQL and Python logic that understands what is Quality Score and how to improve Quality Score performance. When you ask about underperforming keywords, Count might automatically segment your Quality Score data by match type, device, and geographic location in a single comprehensive analysis.
Count runs hundreds of queries in seconds to uncover Quality Score patterns you’d never find manually—identifying which ad groups consistently score below 5, correlating landing page experience scores with conversion rates, or discovering seasonal Quality Score fluctuations across your campaigns. The platform handles messy Google Ads data automatically, cleaning away obvious quality issues like duplicate keywords or incomplete performance metrics.
Every Quality Score analysis comes with transparent methodology—Count shows you exactly how it calculated average scores, weighted metrics by impression volume, or filtered out low-traffic keywords. The results arrive as presentation-ready reports that clearly explain how to improve Quality Score based on your specific data patterns.
Count’s collaborative workspace lets your team explore Quality Score insights together, asking follow-up questions like “Which keywords dropped in score last month?” or “How does our Quality Score compare to industry benchmarks?” The platform connects your Google Ads Quality Score data with other sources—your CRM, website analytics, or customer databases—to understand how keyword relevance impacts broader business metrics like customer acquisition cost and lifetime value.