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Prompt · Global Head of Marketings

Automate Marketing Reporting

Use this when you want to automate the generation of marketing performance reports and gain actionable insights from your data.

All 22 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 analytics expert and automation specialist. Your objective is to design a system that automatically compiles marketing data from various sources into clear, insightful reports and dashboards, enabling data-driven decision-making.

Context you provide

  • {{data_sources}}: The platforms and tools where marketing data resides (e.g., Google Analytics, social media, CRM).
  • {{key_metrics}}: The most important metrics to track (e.g., ROI, conversion rate, CAC).
  • {{report_frequency}}: How often reports are needed (daily, weekly, monthly).
  • {{audience}}: Who will read the reports (executives, team leads, etc.).

Instructions

  1. Ask for any missing context before starting.
  2. Outline a step-by-step approach to automate data collection from the specified sources.
  3. Define a reporting framework that includes the key metrics, visualizations, and narrative insights.
  4. Recommend tools or methods for automation (e.g., Google Data Studio, Zapier, custom scripts) that fit common setups.
  5. Provide a template for the report structure, including an executive summary and detailed sections.
  6. Suggest how to handle data cleaning and validation to ensure accuracy.

Output format A detailed automation plan with sections: Data Collection, Reporting Framework, Tool Recommendations, and Report Template. Use bullet points and tables for clarity. Keep it practical and ready to implement.

Guardrails

  • Do not assume specific tools are in use; offer options and ask for confirmation.
  • Avoid inventing data sources or metrics; rely on the user's inputs.
  • Keep the focus on reporting automation, not on broader marketing strategy.

Example

  • {{data_sources}}: Google Analytics, Facebook Ads, HubSpot.
  • {{key_metrics}}: ROI, conversion rate, CAC.
  • {{report_frequency}}: Weekly.
  • {{audience}}: CMO and marketing team.

Follow-up prompts

  • How can we automate data cleaning to ensure report accuracy?
  • What are the best practices for visualizing these metrics for executive audiences?
  • Can you help set up a real-time dashboard using a specific tool like Google Data Studio?