Prompt lesson · 17 prompts
Customer Sentiment Analysis prompts for E-commerce Managers
17 ready-to-use prompts from our AI for E-commerce Managers course. Copy one, fill in the {{placeholders}}, and paste it into ChatGPT, Claude, Gemini or any other AI.
Analyze Survey Sentiment Trends
Use this when you need to quickly categorize customer survey responses and uncover key satisfaction trends.
Role You are a customer insights analyst. Your goal is to systematically categorize survey responses and surface actionable satisfaction trends.
Context you provide
- {{survey_responses}}: The raw customer survey responses, either pasted or in an attached file.
- {{demographics_optional}}: Optional demographic breakdown (e.g., age, region) if you want segmented trends.
Instructions
- If the survey responses are not provided, ask for them before proceeding.
- Categorize each response as positive, negative, or neutral, and note the confidence level.
- Identify recurring themes within each sentiment category (e.g., pricing, shipping, support).
- Summarize key trends in customer satisfaction, highlighting any notable patterns or shifts.
- If demographics are provided, analyze sentiment trends across those segments.
Output format Provide a structured report with: (1) a brief overview of sentiment distribution, (2) a table of themes with example quotes, (3) a summary of key trends, and (4) a short list of recommended actions. Use a professional, concise tone.
Guardrails
- Do not invent survey responses; base all analysis solely on the provided data.
- If a response is ambiguous, flag it rather than forcing a category.
- Stay within the scope of the provided survey data; do not speculate on external factors.
Example {{survey_responses}} = "The checkout was easy, but shipping took too long.\nGreat product quality!\nI'm disappointed with the support."
Open this prompt Analysis · Intermediate
Chatbot Sentiment Analysis
Use this when you want to analyze customer sentiment in chatbot interactions to improve customer experience.
Role You are a customer experience analyst who examines chatbot conversation logs to uncover sentiment patterns and recommend improvements.
Context you provide
- {{chat_logs}}: The chat logs from your customer support chatbot (or a description of them).
- {{time_period}}: The timeframe for the analysis (e.g., last month, last quarter).
- {{focus_areas}}: Optional: specific aspects to focus on (e.g., common issues, emotional tone, pain points).
- {{business_goal}}: The goal of the analysis (e.g., improve satisfaction, reduce churn, enhance UX).
Instructions
- Ask for any missing inputs before starting.
- Analyze the chat logs to identify overall sentiment (positive, negative, neutral) and its distribution.
- Identify patterns in sentiment, such as common topics or issues associated with negative sentiment.
- Highlight key pain points and areas for improvement, as well as what is working well.
- Provide actionable recommendations to enhance the customer experience based on the findings.
Output format A structured report with an executive summary, sentiment breakdown, key findings, and recommendations. Use clear headings and bullet points. Tone should be objective and constructive.
Guardrails
- Base all insights on the provided chat logs; do not invent conversations.
- Clearly distinguish between observed patterns and inferred insights.
- Keep recommendations within the scope of improving chatbot interactions and customer experience.
Example Chat logs: customer support chatbot transcripts from the last month; Focus areas: common issues and emotional tone; Goal: improve satisfaction.
Open this prompt Analysis · Intermediate
Competitor Sentiment Analysis
Use this when you want to analyze customer sentiment towards competitors to identify strengths and weaknesses.
Open this prompt Analysis · Intermediate
Customer Feedback Sentiment Analysis
Use this when you need to analyze customer feedback to gauge satisfaction and identify improvement areas.
Open this prompt Analysis · Intermediate
Customer Review Sentiment Analysis
Use this when you need to analyze customer reviews to understand satisfaction levels and identify improvement areas.
Open this prompt Analysis · Intermediate
Design Sentiment-Driven Loyalty Programs
Use this when you want to tailor loyalty rewards and retention strategies based on customer sentiment.
Open this prompt Planning · Advanced
Email Sentiment Analysis
Use this when you need to analyze customer emails to gauge satisfaction and identify recurring issues.
Open this prompt Analysis · Intermediate
Measure Satisfaction via Sentiment
Use this when you need a sentiment-based assessment of overall customer satisfaction and actionable recommendations.
Open this prompt Analysis · Intermediate
Prioritize Feedback-Driven Improvements
Use this when you need to turn customer feedback into a prioritized list of actionable improvements.
Open this prompt Analysis · Intermediate
Product Review Sentiment Analysis
Use this when you need to analyze product reviews to identify strengths, weaknesses, and improvement opportunities.
Open this prompt Analysis · Intermediate
Segment Customers by Sentiment
Use this when you need to group customers by emotional drivers to personalize marketing and communication.
Open this prompt Analysis · Advanced
Sentiment-Driven Campaign Design
Use this when you need to turn customer feedback into targeted marketing campaigns that resonate emotionally.
Open this prompt Analysis · Intermediate
Sentiment-Guided Product Innovation
Use this when you need to leverage customer sentiment to identify product improvements and innovation opportunities.
Open this prompt Analysis · Intermediate
Sentiment-Informed Pricing Adjustments
Use this when you want to adjust pricing based on customer sentiment and market feedback.
Open this prompt Analysis · Intermediate
Sentiment-Personalized Product Suggestions
Use this when you want to generate personalized product recommendations based on customer sentiment and preferences.
Open this prompt Analysis · Beginner
Support Interaction Sentiment Analysis
Use this when you need to analyze customer support interactions to improve satisfaction and identify service gaps.
Open this prompt Analysis · Intermediate
Social Media Sentiment Monitoring
Use this when you need to analyze customer sentiment on social media platforms to understand public perception of your brand or product.
You are a social media listening analyst. Your goal is to extract actionable sentiment insights from social media conversations to inform brand strategy.…
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Open this prompt Analysis · Intermediate