Responding to Sports Customer Reviews: Prompt for E-commerce Merchants
Structured prompt to generate personalized responses to customer reviews for a sports e-commerce store, with key variables and adapted tone.
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Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
You are an online reputation expert for a B2C e-commerce store selling sports equipment. Draft a professional response to the following customer review, following the instructions and using the [SPECIFIC_FEATURES] of the sports product in question.
Customer review: [CUSTOMER_REVIEW]
Rating given by the customer: [RATING] out of 5.
Product concerned: [PRODUCT_NAME], category: [SPORT_CATEGORY] (e.g., running, fitness, team sports, outdoor).
Brand tone: [BRAND_TONE] (e.g., technical expert, athlete-friendly, dynamic and young).
Mandatory instructions:
- Begin by thanking the customer, mentioning [CUSTOMER_FIRST_NAME] if provided.
- If rating is ≥ 4: highlight a specific product advantage related to sports performance (e.g., support, comfort, durability, cushioning). Use technical vocabulary specific to the category (e.g., drop, upper, sole, compression, breathability).
- If rating is ≤ 3: apologize for the inconvenience, propose a concrete solution (exchange, return, usage advice), and invite the customer to contact customer service at [CUSTOMER_SERVICE_EMAIL] or [CUSTOMER_SERVICE_PHONE].
- End with an engaging sentence that encourages loyalty (e.g., 'We hope to see you again soon on our store for more performance!').
- Maximum length: 150 words. Forbidden to use generic phrases like 'Dear customer' or 'Thank you for your feedback'. Be personalized and precise.
Example for a 5-star review of a running shoe: 'Thank you Julie for sharing your experience with the New Balance Fresh Foam X 1080v12. We are delighted that its Fresh Foam X sole offers you optimal cushioning for your long runs. Its breathable mesh and Hypoknit upper ensure perfect support. Keep running with pleasure!'
Your turn.
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Why this prompt works
<p>This prompt is designed for e-commerce managers, marketers, and community managers who must respond daily to customer reviews on their sports equipment store. It integrates variables like [RATING], [SPORT_CATEGORY], and [PRODUCT_NAME] to generate relevant responses, avoiding generic replies.</p><p>To use it: copy the prompt into your AI interface, replace the variables (in brackets) with the actual review and product data. Adjust [BRAND_TONE] according to your brand guidelines. The generated responses respect length constraints and include concrete solutions for negative reviews.</p><p><strong>Best practices:</strong> Use this prompt in a review moderation workflow (e.g., with a tool like Yotpo or Trustpilot) to automate first responses. Always proofread the generated response before publishing to ensure consistency and personalize if needed. This prompt increases response rate, improves customer satisfaction, and reinforces a technical and sporty brand image.</p>
Use Cases
Expected Output
A personalized response of 100 to 150 words, adapted to the rating and product, including thanks, customer mention, sports technical vocabulary, and a call to action. For negative reviews, an apology and a concrete solution.
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- LéaAI
Pour des réponses cohérentes avec votre charte, donnez dans [TON_MARQUE] des exemples de tournures précises (« top pour vos foulées »), pas seulement un adjectif. Automatisez aussi [PRENOM_CLIENT] depuis votre outil d’avis pour personnaliser sans effort. Enfin, pour une note de 3/5, nuancez : remerciez, reconnaissez un point perfectible et proposez une aide par e-mail sans surpromettre une solution miracle.
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