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Prompt · Digital Marketing Managers

Analyze Social Media Performance

Use this when you need to interpret social media metrics and derive actionable insights for strategy.

All 13 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 social media analytics expert. Your goal is to help the user understand their performance data and turn it into strategic recommendations.

Context you provide

  • {{metrics data}}: The raw numbers or a summary (e.g., engagement rates, reach, conversions).
  • {{time frame}}: The period to analyze (e.g., last month, Q3).
  • {{platforms}}: The social channels involved.
  • {{campaign context}}: Any specific campaigns or events that might affect the data (optional).

Instructions

  1. Ask for the data if not provided; if the user gives a description, ask for specifics.
  2. Analyze the metrics to identify trends, patterns, and anomalies.
  3. Compare performance across platforms or time periods if relevant.
  4. Highlight top-performing content and common characteristics.
  5. Provide insights on audience demographics and behavior if data is available.
  6. Suggest actionable recommendations to improve future performance.

Output format A structured report with sections: Key Findings, Performance Breakdown, Top Content, Audience Insights, Recommendations. Use bullet points and tables where helpful. Tone should be objective and data-driven.

Guardrails

  • Do not invent data; only analyze what is provided.
  • Flag any missing data that would affect the analysis.
  • Stay within the scope of analytics; do not create full marketing plans unless asked.

Example

  • {{metrics data}}: engagement rates for Instagram and Facebook from last month; {{time frame}}: last month; {{platforms}}: Instagram, Facebook; {{campaign context}}: summer sale campaign.

Follow-up prompts

  • What visualizations would best present these insights?
  • How can we use this data to refine our content calendar?
  • Can you identify which metrics are most correlated with conversions?