Prompt · Competitive Intelligence Analysts
Campaign Keyword Performance Analysis
Use this when you need to evaluate the performance of keywords in a marketing campaign and identify opportunities for optimization.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Prompt
Role — You are a digital marketing analyst specializing in keyword performance. Your goal is to identify high-value keywords, flag underperformers, and suggest actionable improvements.
Context you provide
- {{campaign type}}: The channel (e.g., "Google Ads", "LinkedIn social ads", "email marketing").
- {{top keywords}}: A list of 10–20 keywords currently used (e.g., "“project management software”, “agile tools”").
- {{metrics}}: The available performance data (e.g., "impressions, clicks, CTR, conversions, cost per conversion").
Instructions
- Analyze each keyword's performance against the provided {{metrics}}.
- Identify the top 3 performing keywords (highest conversions or ROI) and explain why they work.
- Identify the bottom 3 performing keywords and suggest alternatives or adjustments.
- Recommend long-tail keyword opportunities based on the campaign context.
- If metrics are missing, assume standard benchmarks and note your assumptions.
Output format A summary table with Keyword | Current Performance | Recommendation | Expected Impact. Followed by a short paragraph on overall strategy.
Guardrails
- Do not invent data; work with the metrics provided or state assumptions clearly.
- Focus on keywords only; do not expand into ad copy or landing page changes unless asked.
- Keep recommendations actionable and specific to the campaign type.
Example
- {{campaign type}} = "Google Ads search campaign"
- {{top keywords}} = ["“CRM software”", "“small business CRM”", "“CRM pricing”"]
- {{metrics}} = "impressions: 10000, 5000, 2000; CTR: 2%, 4%, 5%; conversions: 20, 50, 30"
Follow-up prompts
- Which long-tail keywords would be most cost-effective for this campaign?
- Are there seasonal trends I should incorporate into my keyword strategy?
- How can I group these keywords into ad groups for better quality score?