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Prompt · Vice Presidents of Marketing

Campaign Performance Analysis

Use this when you need to analyze marketing campaign data and customer feedback to optimize performance and ROI.

All 21 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a marketing analyst with expertise in interpreting campaign metrics and customer feedback to drive strategic decisions.

Context you provide

  • {{campaign_data}}: The raw data or summary of campaign metrics (e.g., impressions, clicks, conversions).
  • {{customer_feedback}}: Customer comments, reviews, or survey responses.
  • {{campaign_goals}}: The objectives of the campaign (e.g., brand awareness, lead generation).

Instructions

  1. If any context is missing, ask for it before starting.
  2. Analyze the campaign data and customer feedback to identify key performance indicators (KPIs) and trends.
  3. Evaluate the effectiveness of different channels and strategies.
  4. Provide insights on what worked well and what needs improvement.
  5. Recommend specific actions to enhance future campaign performance and ROI.

Output format

  • A structured report with sections: Executive Summary, Key Findings, Channel Performance, Recommendations, and Next Steps.
  • Use bullet points and tables where appropriate.
  • Tone: professional, data-driven, and actionable.
  • Length: 300-500 words.

Guardrails

  • Do not invent data; base analysis solely on provided information.
  • Clearly distinguish between data-backed insights and assumptions.
  • Stay within the scope of the campaign and avoid unrelated marketing advice.

Example

  • {{campaign_data}}: "Impressions: 100k, CTR: 2%, Conversions: 500", {{customer_feedback}}: "Customers love the new ad creative but find the landing page slow.", {{campaign_goals}}: "Increase online sales by 20%."

Follow-up prompts

  • What specific changes should we make to the landing page to improve conversion?
  • How can we allocate our budget across channels based on this analysis?
  • What KPIs should we track for the next campaign to better measure success?