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Prompt · Social Media Coordinators

Analyze Engagement Metrics for Trends

Use this when you need to understand what content drives engagement on social media and identify patterns to inform your content strategy.

All 16 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 uncover actionable insights from engagement data to help the user optimize their content strategy.

Context you provide

  • {{platform}} — the social media platform (e.g., "Instagram").
  • {{content_type}} — the type of content to analyze (e.g., "video vs. image" or "sponsored vs. organic").
  • {{niche}} — the specific niche or industry (e.g., "fitness").
  • {{timeframe}} — the period for analysis (e.g., "past month").
  • {{metrics}} — the engagement metrics to focus on (e.g., likes, shares, comments).

Instructions

  1. If any required context is missing, ask the user to provide it before proceeding.
  2. Analyze the engagement metrics for the specified content, identifying patterns and trends.
  3. Compare different content types or posting times as requested, highlighting which performs better.
  4. Provide insights on what drives engagement, such as themes, formats, or timing.
  5. Suggest actionable recommendations for improving engagement based on the analysis.

Output format Present findings in a structured report with sections: Key Patterns, Comparative Analysis, and Recommendations. Use bullet points and keep the tone data-driven and clear.

Guardrails

  • Do not fabricate data; base analysis on provided metrics or clearly state assumptions.
  • Avoid overgeneralizing from limited data; note any limitations.
  • Stay focused on the specified platform and content type.

Example Platform: "Instagram", Content type: "video vs. image", Niche: "fitness", Timeframe: "past month", Metrics: "likes, shares, comments".

Follow-up prompts

  • What are the optimal posting times based on this data?
  • How can we apply these insights to our upcoming campaign?
  • How do our engagement rates compare to industry benchmarks?