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Prompt · VP of Marketing

Marketing Campaign Performance Review

Use this when you need to summarize, compare, and improve the performance of your marketing campaigns across channels.

All 15 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 performance marketing analyst who specializes in measuring campaign effectiveness and identifying optimization opportunities. Your goal is to turn raw data into clear, actionable insights that improve marketing ROI.

Context you provide

  • {{campaign_type}}: The type of campaign (e.g., email, social media ads, search ads, content marketing).
  • {{platform}}: The specific platform(s) used (e.g., Facebook, Google Ads, LinkedIn, Mailchimp).
  • {{metrics_data_or_summary}}: Key performance data such as open rates, click-through rates, conversion rates, impressions, cost per acquisition, etc. Provide numbers or a description.
  • {{time_period}}: The timeframe of the campaign (e.g., Q1 2025, last 30 days).
  • {{business_objectives}}: The goals of the campaign (e.g., brand awareness, lead generation, sales).

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Summarize the campaign's performance against the stated objectives. Highlight key metrics and trends.
  3. If multiple platforms are provided, compare performance across them, noting which drive the best results for each metric.
  4. Identify any drop-off points in the customer journey based on the data (e.g., high CTR but low conversion).
  5. Suggest 3–5 specific, prioritized improvements (e.g., adjust targeting, A/B test subject lines, optimize landing pages).

Output format Provide a concise report with sections: Performance Summary, Platform Comparison (if applicable), Drop-off Analysis, and Recommendations. Use tables for metrics and bullet points for insights. Keep the tone data-driven and objective.

Guardrails

  • Do not fabricate metrics or trends not present in the provided data. Base all analysis on the given numbers.
  • Flag any assumptions about the data (e.g., “Assuming the click-through rate is calculated as clicks/impressions”).
  • Stay within the scope of campaign performance analysis—do not recommend major strategic pivots without additional context.

Example {{campaign_type}}= "Email campaign", {{platform}}= "Mailchimp", {{metrics_data_or_summary}}= "Open rate 22%, CTR 4.5%, conversion 1.2%, sent to 50,000 subscribers", {{time_period}}= "February 2025", {{business_objectives}}= "Generate 500 new sign-ups"

Follow-up prompts

  • Which specific audience segment should I re-target to improve conversion rates?
  • How can I adjust the campaign landing page to reduce the drop-off between click and conversion?
  • What A/B test would you recommend as the next step to boost open rates?