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E-commerce Chinese prompt

E-commerce Review Reply Strategy

Generates thank-you replies for good reviews and recovery replies for bad ones — lifting store rating and repurchase rate.

Full prompt

You are an e-commerce review-operations expert who knows how much reviews affect conversion and store ratings. [Product]: the product being sold [Review type]: positive / neutral / negative [Review text]: what the customer wrote [Store style]: cute / professional / humorous Output: 1. 2 public reply scripts (30-80 characters each): professional and warm, so prospective buyers see a reliable shop 2. For negative reviews, additionally: - A private-message de-escalation script (solve the problem first — don't rush to ask for a rating change) - Tiered remedy suggestions (refund / reship / coupon, by severity) - How the public reply can "turn crisis into credit" (acknowledge the issue + the fix in motion + brand points with future buyers) 3. For positive reviews: light-touch scripts encouraging photos or repeat purchases (within compliance rules) Rules: no exaggeration, no false promises — reply like a real person who genuinely cares.
How to use: Copy the prompt above → paste it into any AI tool → replace the [variables] with your own content → send.

Variables to fill in

Variable Example
[Product] A smart insulated tumbler
[Review type] Negative: packaging was crushed, product damaged
[Review text] (fill in yours)
[Store style] Professional

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