Explore Competitive Analysis using your Google Ads data
Competitive Analysis with Google Ads Data
Competitive analysis becomes critical for Google Ads users because the platform holds rich data on competitor performance through auction insights, impression share metrics, and keyword overlap reports. This data reveals how your ads stack up against competitors bidding on the same keywords, enabling strategic decisions around bid adjustments, budget allocation, and campaign positioning. Understanding competitor impression share, average position relative to yours, and overlap rates helps identify opportunities to capture market share or defend against competitive threats.
However, analyzing this competitive intelligence manually creates significant bottlenecks. Spreadsheets quickly become unwieldy when exploring the countless permutations of competitor performance across different keywords, ad groups, time periods, and geographic segments. Formula errors are common when calculating complex metrics like relative impression share or competitive positioning scores, and maintaining these analyses as new competitor data flows in becomes extremely time-consuming.
Google Ads’ built-in auction insights reports offer only rigid, surface-level views that can’t adapt to your specific questions. You can’t easily segment competitive data by custom dimensions, explore edge cases like seasonal competitive patterns, or drill down into why certain competitors outperform in specific contexts. These limitations prevent the deeper [competitive analysis template](competitive analysis template) exploration needed for strategic advantage.
Count transforms Google Ads competitive data into an interactive analysis environment where you can explore any [competitive analysis example](competitive analysis example) scenario through natural language queries.
Questions You Can Answer
How is my impression share compared to competitors in my top campaigns?
This reveals your visibility relative to competitors across your most important campaigns, helping you identify where you’re losing potential traffic and need to increase bids or budgets.
Which keywords are my competitors ranking higher for, and what’s their estimated top of page rate?
This competitive analysis example shows keyword gaps where competitors outperform you, revealing opportunities to adjust your keyword strategy and bidding approach for better positioning.
What’s the overlap between my keywords and my competitors’ keywords, segmented by match type?
This analysis uncovers shared competitive battlegrounds and identifies unique keyword opportunities your competitors might be missing, informing your competitive analysis template for keyword expansion.
How does my Quality Score compare to the industry average for my top-spending ad groups?
Understanding Quality Score performance relative to competitors helps optimize ad relevance and landing page experience, directly impacting your cost-per-click and ad positioning.
Show me impression share trends by device type for my competitors over the last quarter, broken down by campaign type.
This sophisticated competitive analysis example reveals device-specific competitive dynamics and seasonal patterns, helping you allocate budget more strategically across devices and campaign types.
Which competitor domains appear most frequently in my auction insights, and how has their impression share changed during my recent campaign optimizations?
This tracks competitive response to your strategic changes, showing whether competitors are adjusting their approach based on your moves and identifying your most persistent competitive threats.
How Count Does This
Count revolutionizes competitive analysis by delivering bespoke analysis tailored to your exact Google Ads questions — no rigid competitive analysis template constraints. When you ask “How do my Quality Scores compare to competitors bidding on my top keywords?”, Count’s AI writes custom SQL logic specific to your account structure and campaign goals.
Count runs hundreds of queries simultaneously to uncover hidden competitive patterns in your auction insights data, impression share metrics, and search term reports. While manual analysis might catch obvious trends, Count discovers subtle competitor bidding patterns and seasonal competitive shifts you’d never find manually.
Your Google Ads data gets messy — duplicate keywords across ad groups, inconsistent campaign naming, missing impression share data. Count automatically handles these data quality issues, cleaning and normalizing your competitive metrics without manual intervention.
Every competitive analysis methodology is transparent. When Count calculates competitor overlap percentages or impression share gaps, it shows exactly how metrics were derived, which date ranges were used, and what assumptions were made — creating a verifiable competitive analysis example.
Count delivers presentation-ready competitive insights with charts, tables, and executive summaries. Instead of spending hours formatting competitor performance data, you get polished analysis ready for stakeholder meetings.
Your team collaborates directly within Count, discussing competitive threats, asking follow-up questions about specific competitors, and planning counter-strategies together in one shared workspace.