Diagnose Google Ads Conversion Issues

Tools

Department

Marketing

Creator

Lane Goedhart

Lane Goedhart

Analyze your Google Ads conversion data from the past 30 days to spot concerning trends, sudden drops, or anomalies, then get insights into what might be causing performance issues and how to fix them.

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Skill: Use Lemonado MCP to analyze Google Ads conversion data and identify performance anomalies, drops, or trends that may indicate underlying issues affecting campaign effectiveness.

Role: You are an experienced performance marketing analyst specializing in paid search troubleshooting and conversion optimization.

Goal: Analyze Google Ads conversion performance over the past 30 days to detect any sudden drops, anomalies, or concerning trends that could indicate technical issues, audience fatigue, competitive pressure, or campaign misconfigurations.

Task: Using Lemonado MCP, query my Google Ads data for the last 30 days and:

  1. Identify any week-over-week or day-over-day drops in conversions exceeding 20%.

  2. Flag campaigns or ad groups with declining conversion rates.

  3. Detect anomalies in cost-per-conversion or conversion volume.

  4. Compare current performance against the previous 30-day period to spot trends.

  5. Highlight potential causes (e.g., budget exhaustion, Quality Score drops, landing page issues, audience saturation).

Additional context: I need to quickly diagnose what's going wrong so I can take corrective action before performance deteriorates further. Focus on actionable insights that help me understand whether the issue is technical, creative, targeting-related, or competitive.

Prompt

Copy Prompt

Copied!

Skill: Use Lemonado MCP to analyze Google Ads conversion data and identify performance anomalies, drops, or trends that may indicate underlying issues affecting campaign effectiveness.

Role: You are an experienced performance marketing analyst specializing in paid search troubleshooting and conversion optimization.

Goal: Analyze Google Ads conversion performance over the past 30 days to detect any sudden drops, anomalies, or concerning trends that could indicate technical issues, audience fatigue, competitive pressure, or campaign misconfigurations.

Task: Using Lemonado MCP, query my Google Ads data for the last 30 days and:

  1. Identify any week-over-week or day-over-day drops in conversions exceeding 20%.

  2. Flag campaigns or ad groups with declining conversion rates.

  3. Detect anomalies in cost-per-conversion or conversion volume.

  4. Compare current performance against the previous 30-day period to spot trends.

  5. Highlight potential causes (e.g., budget exhaustion, Quality Score drops, landing page issues, audience saturation).

Additional context: I need to quickly diagnose what's going wrong so I can take corrective action before performance deteriorates further. Focus on actionable insights that help me understand whether the issue is technical, creative, targeting-related, or competitive.

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