Explore Negative Keyword Analysis using your Google Ads data
Negative Keyword Analysis with Google Ads Data
Negative Keyword Analysis is crucial for Google Ads users because it directly impacts campaign efficiency and budget optimization. Google Ads holds extensive search term data that reveals exactly which queries trigger your ads, including irrelevant searches that waste spend. This analysis helps identify patterns in unwanted traffic, discover new negative keyword opportunities, and understand how search intent misalignment affects your Quality Score and conversion rates. The insights enable strategic decisions about bid adjustments, campaign restructuring, and budget reallocation to higher-performing segments.
Manual negative keyword analysis is notoriously painful due to the sheer volume and complexity of search term data. In spreadsheets, analyzing thousands of search queries across multiple campaigns creates countless permutations to explore, making it extremely time-consuming to identify meaningful patterns. Formula errors are common when trying to calculate relevance scores or group similar terms, and maintaining these analyses becomes overwhelming as new data flows in daily.
Google Ads’ built-in reporting tools offer only rigid, formulaic outputs that can’t adapt to your specific business context. They provide limited segmentation options and can’t answer nuanced questions like “which negative keywords would have the biggest impact on my Quality Score?” or help explore edge cases where potentially valuable keywords might be getting blocked.
Count transforms this process by automatically analyzing your Google Ads search term data, identifying negative keyword opportunities through intelligent pattern recognition, and providing actionable insights that would take hours to uncover manually.
Questions You Can Answer
“Which search terms are generating clicks but zero conversions in my Google Ads campaigns?”
This reveals underperforming keywords that are wasting your ad spend, helping you identify prime candidates for your negative keyword list.
“Show me search terms with high cost per click but low quality scores across my campaigns.”
This uncovers expensive, irrelevant traffic that’s hurting both your budget and account quality, making it essential for negative keyword optimization.
“What search terms have impression share above 50% but conversion rates below 1%?”
This identifies high-visibility terms that consistently fail to convert, allowing you to block traffic that appears relevant but doesn’t drive results.
“Which search terms are triggering my ads through broad match but have zero relevance to my product categories?”
This helps you find negative keywords to improve broad match targeting precision and reduce irrelevant traffic from Google’s keyword expansion.
“Compare search term performance between mobile and desktop to find device-specific negative keywords.”
This advanced analysis reveals terms that may work on one device but waste spend on another, enabling device-targeted negative keyword strategies.
“Show me search terms that convert well in Campaign A but poorly in Campaign B, segmented by match type.”
This sophisticated approach helps you find campaign-specific negative keywords while understanding how match types affect performance across different campaign structures.
How Count Does This
Count’s AI-powered approach transforms how you find negative keywords and improve negative keyword analysis. Instead of rigid templates, Count writes custom SQL and Python logic tailored to your specific Google Ads campaigns — whether you’re analyzing search terms by match type, campaign performance, or conversion patterns.
Count runs hundreds of queries in seconds across your Google Ads data, automatically identifying wasteful search terms that would take hours to find manually. For example, it might discover that “free” variations of your keywords generate high click volumes but zero conversions, or uncover seasonal patterns where certain terms perform poorly during specific periods.
Your Google Ads data often contains inconsistencies — duplicate search terms, formatting variations, or missing conversion tracking. Count automatically cleans these issues while analyzing, ensuring accurate negative keyword identification without manual data preparation.
Every analysis comes with transparent methodology. When Count identifies potential negative keywords, it shows exactly how it calculated click-through rates, conversion metrics, and cost efficiency — so you can verify the logic behind each recommendation.
Count delivers presentation-ready negative keyword analysis with clear visualizations showing search term performance, recommended additions to your negative keyword lists, and projected budget savings. Your team can collaboratively review findings, ask follow-up questions like “How would adding these negatives impact our Quality Scores?” and implement changes together.
Count also connects your Google Ads data with other sources — your CRM, website analytics, or customer databases — to identify negative keywords based on broader business context beyond just campaign metrics.