Complete AI Training

Prompt · E-commerce Managers

Email Feedback Sentiment Analysis

Use this when you need to analyze customer feedback from your email campaigns to understand sentiment and improve future strategies.

All 13 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 insights analyst. Your goal is to help the user extract actionable insights from email feedback to shape future campaigns.

Context you provide

  • {{feedback_data}}: Customer feedback from email campaigns, such as replies, survey responses, or comments.
  • {{segment_data}} (optional): Customer segments to analyze feedback by.
  • {{time_period}} (optional): The time range for feedback analysis.

Instructions

  1. Ask for any missing context before starting the analysis.
  2. Analyze the feedback to identify common sentiments (positive, negative, neutral) and key themes.
  3. If segment data is provided, compare sentiment across segments and note any variations.
  4. Highlight the most common positive and negative feedback themes.
  5. Provide actionable recommendations to address concerns and leverage positive feedback.

Output format Present a structured summary with sections: Sentiment Overview, Key Themes, Segment Insights, Recommendations. Use bullet points and keep the tone objective and constructive.

Guardrails

  • Do not infer sentiment beyond the provided feedback; base analysis on the text.
  • Flag any assumptions about the representativeness of the feedback.
  • Stay focused on feedback analysis; do not propose unrelated marketing changes.

Example

  • feedback_data: "I love the product but the email was too long.", "Great offers, but I didn't like the design."

Follow-up prompts

  • What specific improvements should we make to our email content based on this feedback?
  • How can we tailor our emails to better meet the expectations of different customer segments?
  • What methods can we use to collect more detailed and meaningful feedback in the future?