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.
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 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
- Ask for any missing context before starting.
- Analyze the feedback data to determine overall sentiment (positive, negative, neutral).
- Identify keywords and phrases that frequently indicate positive or negative sentiment.
- Categorize sentiments into themes (e.g., product quality, customer service, price) and note any nuances.
- Compare sentiment across different platforms and demographics, highlighting key differences.
- 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?