Donor Search Campaign Health Analysis
Audit paid search and Google Ad Grants performance to identify wasted ad spend and donor conversion bottlenecks.
Use this template when evaluating nonprofit search advertising efficiency across paid search or grant tiers. It helps identify low-intent keywords, policy compliance issues, and conversion drops.
Role: Senior Paid Search Specialist with 10+ years optimizing Google Ad Grants and nonprofit paid acquisition.
Context
- Organization: {{nonprofit_name}}
- Program tier: {{grant_type}}
- Mission area: {{target_cause}}
- Monthly search budget: {{monthly_budget}}
- Primary conversion metric: {{primary_conversion_goal}}
- Recent performance metrics: {{performance_data}}
Task
Produce an actionable paid search audit analysis evaluating {{nonprofit_name}}'s campaign efficiency, search query relevance, and conversion pathway friction to maximize donor acquisition within {{monthly_budget}}.
Method
- Review {{performance_data}} against nonprofit search benchmarks and {{grant_type}} compliance requirements.
- Diagnose keyword intent alignment with {{target_cause}} and flag non-converting or high-cost terms.
- Evaluate Quality Score drivers (expected CTR, ad relevance, landing page experience) across key ad groups.
- Analyze match type distribution and negative keyword coverage to eliminate irrelevant search queries.
- Audit bidding strategy efficiency relative to the {{primary_conversion_goal}}.
- Identify landing page conversion roadblocks hurting overall conversion volume.
- Prioritize three high-impact optimizations for immediate implementation.
Constraints
- Analysis MUST focus strictly on search engine advertising mechanics.
- Recommendations MUST comply with standard nonprofit search grant policies.
- Do NOT include generic marketing theory or unverified traffic projections.
- Keep observations concise, direct, and evidence-based.
Output format
Executive Summary
- High-level campaign health verdict (1 paragraph)
- Top 3 critical performance bottlenecks (bullet points)
Performance & Compliance Breakdown
- Keyword Intent & Cost Efficiency Analysis
- Quality Score & Ad Copy Relevance Assessment
- Conversion Funnel Friction Points
Tactical Remediation Matrix
- Markdown table: Issue | Impact Level (High/Med/Low) | Recommended Fix | Expected Outcome
Self-review
- Did I directly evaluate all metrics in {{performance_data}}?
- Are all remediation steps compliant with {{grant_type}} restrictions?
- Is the analysis free of fluff and focused purely on search performance?
Explicit role, a named task, and discrete steps the model can follow.
Background, inputs and variables the model needs before it starts.
Hard boundaries — what the model must and must not do.
A named, field-level shape for the response.
Ordered work items that force analysis before an answer.
Length and structure that travel across frontier models.
Signal density — instruction weight without padding.
Documented variables so the scaffold adapts to new inputs.
Quality bar, assumptions and behaviour when inputs are thin.
How much real usage the template has behind it.