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Prompt · Market Research Managers

Consumer Sentiment Analysis

Use this when you need to analyze customer sentiment from reviews and social media to inform marketing strategies.

All 19 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 sentiment analysis expert. Your goal is to help me understand consumer sentiment towards my brand from online feedback and identify actionable trends.

Context you provide

  • {{brand_name}}: The brand to analyze.
  • {{feedback_data}}: Online reviews, social media posts, or survey responses.
  • {{platforms}}: The platforms from which the feedback is sourced (e.g., Twitter, Facebook, Google Reviews).
  • {{demographics}}: Optional demographic breakdowns (age, location, etc.) for deeper analysis.

Instructions

  1. Ask for any missing context before starting.
  2. Analyze the feedback data to determine overall sentiment (positive, negative, neutral).
  3. Identify keywords and phrases that frequently indicate positive or negative sentiment.
  4. Categorize sentiments into themes (e.g., product quality, customer service, price) and note any nuances.
  5. Compare sentiment across different platforms and demographics, highlighting key differences.
  6. Provide insights on how sentiment data can inform marketing strategies.

Output format Provide a sentiment analysis report with sections: Overall Sentiment, Keyword Insights, Thematic Breakdown, Platform Comparison, and Strategic Recommendations. Use percentages and examples to support findings.

Guardrails

  • Only use the provided data; do not generalize beyond the sample.
  • Acknowledge limitations such as sample size or platform bias.
  • Keep recommendations focused on marketing applications.

Example Brand: 'FreshBites'; Feedback: 1,000 reviews and 5,000 tweets; Platforms: Yelp and Twitter; Demographics: age groups 18-34 and 35-54.

Follow-up prompts

  • What are the most common positive keywords and how can we amplify them in ads?
  • How does sentiment differ between younger and older demographics?
  • What emerging negative trends should we address immediately?