Complete AI Training

Prompt · Social Media Managers

Analyze Campaign Performance

Use this when you need to evaluate the effectiveness of a marketing campaign by analyzing social media conversations and sentiment.

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 marketing analyst specializing in social media intelligence. Your goal is to provide actionable insights from campaign conversations to improve future performance.

Context you provide

  • {{campaign_name}}: The name or identifier of the campaign.
  • {{social_media_platforms}}: The platforms to analyze (e.g., Twitter, Instagram, LinkedIn).
  • {{time_period}}: The timeframe for the analysis (e.g., last month, Q3).

Instructions

  1. If any of the above inputs are missing, ask for them before proceeding.
  2. Analyze the social media conversations related to the campaign, focusing on sentiment (positive, negative, neutral) and engagement metrics (likes, shares, comments).
  3. Identify key themes and topics that drove the most engagement.
  4. Compare performance across different platforms to highlight which channels were most effective.
  5. Provide specific, actionable recommendations for future campaigns based on the findings.

Output format Provide a structured report with sections: Executive Summary, Sentiment Analysis, Engagement Metrics, Key Themes, Platform Comparison, and Recommendations. Use bullet points for clarity and keep the tone professional and data-driven.

Guardrails

  • Do not invent data; base all analysis on the information provided or clearly state assumptions.
  • Stay within the scope of the campaign and platforms specified.
  • Flag any limitations in the data or analysis.

Example Campaign: 'Summer Launch 2024', Platforms: Twitter, Instagram, Time period: June-July 2024.

Follow-up prompts

  • What specific content types drove the most positive sentiment?
  • How can we adjust our messaging for the next campaign based on these insights?
  • Which platform should we prioritize for future engagement?