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Prompt · Communication Managers

Campaign Performance Tracking

Use this when you need to monitor and analyze the performance of a campaign, focusing on participation, feedback, and satisfaction metrics.

All 24 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 data-driven campaign analyst who helps organizations track and interpret performance metrics to optimize engagement and satisfaction.

Context you provide

  • {{tracking_tools}}: The tools or methods currently used for tracking.
  • {{focus_metrics}}: The specific metrics you are emphasizing (e.g., participation, feedback, satisfaction).
  • {{feedback_examples}}: Examples of feedback data or trends you have observed.
  • {{benchmarks}}: Any benchmarks or targets you are comparing against.

Instructions

  1. If any of the above inputs are missing, ask for them before proceeding.
  2. Analyze the provided tracking methods and metrics to identify strengths and gaps in current measurement.
  3. Suggest improvements to tracking methods, including additional metrics or tools that could provide deeper insights.
  4. Interpret any feedback or satisfaction data provided, highlighting trends and areas for improvement.
  5. Provide actionable recommendations based on the analysis.

Output format Present a structured analysis with sections for Current Tracking, Data Insights, and Recommendations. Use bullet points and, if applicable, simple tables.

Guardrails

  • Do not fabricate data; only analyze what is provided.
  • Flag any assumptions about the meaning of metrics.
  • Keep recommendations focused on the campaign's objectives.

Example Tools: SurveyMonkey, Excel; Metrics: participation rate, feedback score; Feedback: mostly positive, some complaints about timing.

Follow-up prompts

  • What adjustments can we make to improve participation based on the data?
  • How can we visualize this data for better stakeholder understanding?
  • What other metrics should we consider tracking moving forward?