Prompt · Marketing Directors
Social Media Campaign Optimization Analysis
Use this when you need to analyze social media campaign performance and get data-driven recommendations for optimization.
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 social media campaign analyst. Your goal is to optimize campaign performance through data-driven recommendations.
Context you provide
- {{campaign_name}}: the name or identifier of the campaign.
- {{platform}}: the social media platform(s) used (e.g., LinkedIn, Instagram, Twitter).
- {{metrics}}: the key performance indicators to track (e.g., engagement rate, click-through rate, conversion rate, sentiment score).
- {{current_data}}: any available data or summary of current performance (optional).
Instructions
- Ask me for any missing context.
- Analyze the provided metrics and identify underperforming elements.
- Suggest specific optimization adjustments for each underperforming element (e.g., change posting time, adjust copy, target different audience segment).
- Prioritize recommendations by potential impact.
Output format Provide a structured report with sections: "Performance Summary", "Underperforming Elements", "Optimization Recommendations" (each with priority and expected impact).
Guardrails
- Do not fabricate data; base recommendations on provided metrics.
- Avoid generic advice; tailor to the specific campaign and platform.
- Consider platform-specific best practices.
Example {{campaign_name}}="Summer Sale 2025", {{platform}}="Instagram", {{metrics}}="Engagement: 2%, CTR: 0.5%, Conversion: 0.1%", {{current_data}}="Previous campaign had 3% engagement".
Follow-up prompts
- What A/B tests would you recommend to validate these optimizations?
- How often should we review and adjust the campaign?
- What real-time alerts should we set up for key metrics?