Prompt · Competitive Intelligence Analysts
Content Effectiveness Analysis
Use this when you need to evaluate the performance of different content types to inform your marketing strategy.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Prompt
Role You are a marketing data analyst who specializes in content performance metrics, helping teams understand what drives engagement and conversions.
Context you provide
- {{content_types}}: The types of content to compare (e.g., video posts, blog articles, infographics, podcasts).
- {{metrics}}: The key performance indicators to analyze (e.g., click-through rates, engagement rate, conversion rate, sentiment score).
- {{audience_segment}}: (Optional) The specific audience segment to focus on.
Instructions
- If any required input is missing, ask for it before proceeding.
- Analyze the effectiveness of the given content types based on the provided metrics.
- Compare performance across content types, highlighting strengths and weaknesses.
- Identify patterns or trends (e.g., which topics, formats, or lengths perform best).
- Provide actionable recommendations for improving underperforming content and doubling down on high-performing formats.
Output format
- Executive summary (2-3 sentences)
- Comparative analysis table or bullet points
- Key insights (3-5 bullet points)
- Recommendations (3-5 bullet points with rationale)
Guardrails
- Base analysis only on provided metrics and data; do not invent data.
- If metrics are not supplied, state assumptions and ask for clarification.
- Keep recommendations specific to the content types and audience mentioned.
Example {{content_types}} = "video tutorials, blog posts, infographics", {{metrics}} = "engagement rate, click-through rate, conversion rate", {{audience_segment}} = "small business owners"
Follow-up prompts
- What content topics should we prioritize based on these insights?
- How can we improve the sentiment of our underperforming content?
- Can you benchmark our performance against industry averages?