Automated post-purchase review request sequence
Builds an automated email and messaging flow to collect product reviews with high response rates.
Design an automated review request sequence that maximizes response rates and review quality, building social proof for your store.
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Prompt objective
Design an automated review request sequence that maximizes response rates and review quality, building social proof for your store.
Real use case
Jardim Verde, a plant and planter e-commerce store, ships 800 orders per month but has only 120 total reviews on their Nuvemshop store. Their review rate is 2.3% versus the industry benchmark of 8-12%. The reviews they do receive are generic ('Good product. Would recommend.').
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Replace the placeholders with your own context before you run the prompt. That usually improves the first output more than adding more instructions later.
Prompt
Design a complete review request sequence for [STORE NAME], [NICHE] e-commerce store with [NUMBER] monthly orders and current review rate of [PERCENTAGE].\\\\\\\\n\\\\\\\\n**Current stack:**\\\\\\\\n- Platform: [NUVEMSHOP/VTEX/SHOPIFY/MAGENTO/OTHER]\\\\\\\\n- Email marketing tool: [TOOL NAME]\\\\\\\\n- WhatsApp Business: [YES/NO]\\\\\\\\n- Review app: [YOTPO/TRUSTVOX/JUDGE.ME/OTHER/NONE]\\\\\\\\n\\\\\\\\n**1) Request sequence timing:**\\\\\\\\n\\\\\\\\n**Touchpoint 1 — Delivery confirmation (Day 0):**\\\\\\\\n- Channel: Email\\\\\\\\n- Objective: thank customer and set expectations\\\\\\\\n- Template: \\\\\\\\
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How to use this prompt
- 1Replace the key placeholders first: STORE NAME, NICHE, NUMBER, PERCENTAGE.
- 2Replace any bracketed placeholders like [this] with your own context.
- 3Add extra background information when you want more tailored results.
- 4Combine multiple prompts in one conversation when you need a richer output.
- 5Save your best-performing prompts so they are easy to reuse later.
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