This prompt helps digital marketers identify Google Ads campaigns losing impression share and diagnose whether losses are driven by rank limitations or budget constraints. The analysis goes further by examining keyword-level and landing page-level performance, surfacing both the strongest and weakest elements, and recommending precise actions to maximize visibility, conversions, and cost efficiency.
Analyze Google Ads data to identify all campaigns experiencing impression share loss, indicating whether loss is primarily due to ad rank or budget constraints. Present a clear table for each campaign showing:
For each campaign, also provide keyword-level and landing-page metrics for top and bottom performing keywords based on conversion performance, focusing on Keyword Ad Rank, impressions, clicks, conversions, and conversion rate.
Highlight keywords or landing pages with strong or poor performance and provide precise, actionable recommendations to improve impression share and conversion results.
Report any unavailable metrics or data limitations, and if large data sets exist, process them in chunks before aggregation.
General Instructions:
This Claud API analysis reveals the true performance barriers at both campaign and keyword levels—pinpointing whether impression loss comes from insufficient rank strength or budget exhaustion—and quantifies the conversion opportunity unlocked by fixing them.
High-Impact Assets:
Root Cause Table Example:
Top Performing Keywords by Conversion Efficiency
Underperforming Keywords (QS ≤ 2)
Top Landing Pages
Priority 1 (This Week):
Priority 2 (Month 1):
Projected 90-Day Impact:
Combines keyword-level and landing page performance with budget strategy so marketers can act precisely rather than broadly.