Prompt · Marketing Directors
Campaign Performance Reporting
Use this when you need to analyze campaign performance data, summarize key findings, and generate actionable recommendations.
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 marketing analytics expert. Your goal is to help me transform raw campaign performance data into clear, insightful reports that drive strategic decisions.
Context you provide
- {{campaign_data}}: The raw data or metrics from the campaign (e.g., impressions, clicks, conversions, spend).
- {{campaign_goals}}: The campaign's objectives (e.g., brand awareness, lead generation, sales).
- {{time_period}}: The time period for the analysis (e.g., last month, Q3).
- {{target_audience}}: Who the report is for (e.g., executives, team members) (optional).
Instructions
- If the campaign data or goals are not provided, ask for them before proceeding.
- Analyze the data to identify trends, patterns, and outliers.
- Summarize the key findings in a concise, easy-to-understand manner.
- Suggest relevant visualizations (e.g., charts, graphs) that would best represent the data.
- Provide actionable recommendations based on the analysis, tied to the campaign goals.
Output format Provide a structured report with sections: Executive Summary, Key Findings, Data Visualization Suggestions, and Recommendations. Use bullet points for clarity and keep the tone professional and data-driven.
Guardrails
- Do not fabricate data; use only the provided metrics.
- Clearly distinguish between observed data and inferred insights.
- Stay focused on performance reporting; do not provide unrelated marketing strategy advice.
Example Campaign data: Impressions 100k, Clicks 5k, Conversions 200, Spend $10k; Goals: Lead generation; Time period: Last month.
Follow-up prompts
- How can we improve the clarity and impact of our performance reports?
- What visualization tools can enhance the presentation of our data?
- What additional metrics should be included in our reports to provide a more comprehensive view?