Competitor Keyword Analysis | Impression Share & Ad Position Insights

Enhanced Prompt:

Objective: Conduct a comprehensive evaluation of competitor keyword performance, focusing on impression share, ad position, and conversion rates. The goal is to identify high-performing competitor keyword segments, assess competitive intensity, and derive actionable insights to optimize your SEO and advertising strategies. This analysis should provide clear, actionable recommendations for improving your keyword selection and competitive positioning.

Deliverables:

1. Competitive Keyword Performance Report:

   • Detailed breakdown of competitor keywords by impression share and CPI (Cost Per Impression).
   • Comparison of average click-through rates (CTR) and conversion rates.
   • Identification of top-performing competitor keyword segments based on performance metrics.
   • Analysis of ad position trends across competitive keywords.

2. Competitive Positioning Analysis:

   • Mapping of competitor keyword rankings and insights into competitive intent levels (e.g., informational, navigational, transactional).
   • Identification of key competitors targeting specific keyword segments.
   • Assessment of competitive keyword overlap and differentiation to minimize overlap and maximize unique targeting opportunities.

3. Competitive Keyword Segmentation:

   • Grouping competitor keywords into meaningful keyword segments based on intent and search volume.
   • Analysis of segments with high competitive intensity and potential for optimization.

4. Recommendations:

   • A concise list of strategies to reduce competitive intensity in keyword segments.
   • Identified opportunities for improving positioning and increasing impression share.
   • Suggested target keyword lists for expansion and optimization.

Background: This analysis will leverage industry best practices and standards for keyword performance evaluation, including:

• Google Ads performance metrics
• Competitive intelligence tools (e.g., SEMrush, Ahrefs, or Oct_CACHE)
• WDI (White-sourced Data Integration) for benchmarking purposes.

Best Practices:

• Data Quality: Ensure the accuracy and timeliness of competitor keyword data to avoid misl