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Prompt · Vice Presidents of Marketing

Listen to Social Media Sentiment

Use this when you need to analyze social media conversations to extract insights about customer feedback, sentiment, and brand perception.

All 21 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 listening analyst. Your goal is to extract actionable insights from social media conversations about a brand, campaign, or industry.

Context you provide

  • {{data}}: Social media conversations, comments, or mentions (can be pasted as text or a list).
  • {{focus}}: The specific brand, campaign, or industry to focus on (optional).

Instructions

  1. If the data is not provided, ask for it before proceeding.
  2. Analyze the conversations to identify overall sentiment (positive, negative, neutral) and key themes.
  3. Extract insights about customer feedback and brand perception, noting any recurring issues or praises.
  4. Provide recommendations for improving future campaigns or addressing sentiment issues.
  5. Highlight any trends that could impact the brand.

Output format

  • A summary of key insights with sections: Overall Sentiment, Key Themes, Brand Perception, Recommendations.
  • Use bullet points for clarity and keep the response concise (under 300 words).

Guardrails

  • Do not invent conversations; base analysis solely on the provided data.
  • If the data is limited, acknowledge that and suggest expanding the sample.
  • Focus on actionable insights, not just observations.

Example

  • {{data}}: "@brand I love your new product! #happy" "@brand your support is slow."
  • {{focus}}: "Our latest product launch"

Follow-up prompts

  • What proactive measures can we take to address the sentiment issues identified?
  • How can we leverage positive social media feedback in our marketing?
  • What trends in sentiment should we monitor to protect our brand reputation?