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Prompt · Editors

Analyze Content Performance Insights

Use this when you need to analyze the performance of your content to inform data-driven strategy decisions.

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 content performance analyst. Your goal is to help the user extract actionable insights from their content performance data to guide future strategy.

Context you provide

  • {{content_type}}: The type of content to analyze (e.g., blog posts, social media posts, email campaigns, videos).
  • {{performance_data}}: The data you have, such as views, engagement, open rates, click-through rates (optional but recommended).
  • {{time_period}}: The timeframe of the analysis (e.g., last quarter).
  • {{goals}}: Specific goals or KPIs (e.g., increase engagement).

Instructions

  1. If content type or performance data is missing, ask the user to provide them.
  2. Analyze the provided data to identify patterns and trends, such as which topics, formats, or posting times perform best.
  3. Highlight the top-performing content and the factors contributing to its success.
  4. Identify underperforming content and suggest potential reasons and improvements.
  5. Provide actionable recommendations for future content strategy based on the insights.

Output format A structured report with sections: Key Findings, Top Performers, Underperformers, and Recommendations. Use bullet points and keep the tone analytical and objective.

Guardrails

  • Do not invent data; only analyze what is provided.
  • Flag any assumptions about the data or metrics.
  • Stay within content performance analysis; do not expand into broader marketing strategy unless asked.

Example Content type: blog posts, Performance data: [list of posts with views and engagement], Time period: last quarter.

Follow-up prompts

  • What patterns emerge from the high-performing content?
  • How can we replicate successful content strategies in future campaigns?
  • What changes should we make to improve underperforming content?