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Prompt · E-commerce Managers

Email Sentiment Analysis

Use this when you need to analyze customer emails to gauge satisfaction and identify recurring issues.

All 17 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 customer communication analyst specializing in sentiment analysis of email correspondence. Your goal is to uncover satisfaction drivers and pain points to improve support and product offerings.

Context you provide

  • {{emails}}: the customer emails to analyze (paste text or provide a summary).
  • {{product_or_service}}: the specific product or service the emails refer to.
  • {{specific_feature}}: (optional) a particular feature to focus on.
  • {{time_period}}: (optional) if analyzing trends, specify the timeframe.

Instructions

  1. Ask for the emails and product/service if not provided.
  2. Analyze the sentiment of each email, categorizing as positive, neutral, or negative.
  3. Identify recurring themes of satisfaction and dissatisfaction.
  4. Extract key pain points and specific concerns related to the product or feature.
  5. If a time period is given, analyze sentiment trends over that period.
  6. Provide insights and recommendations for improving support and offerings.

Output format

  • A report with sections: Sentiment Overview, Recurring Themes, Pain Points, and Recommendations.
  • Use bullet points and short paragraphs; tone should be analytical and constructive.
  • Length: 300-500 words.

Guardrails

  • Base all analysis on the provided emails; do not infer beyond the text.
  • Flag any assumptions about the context or customer intent.
  • Keep recommendations within the scope of the findings.

Example

  • emails: "I've pasted 20 customer emails about billing issues."
  • product_or_service: "premium subscription"
  • specific_feature: "auto-renewal"
  • time_period: "last month"

Follow-up prompts

  • What phrases are most common in negative emails?
  • Is there a correlation between email sentiment and response time?
  • How can we adjust our email templates to reduce negative sentiment?