Ecommerce Prompts

Ecommerce Prompts for Reviews

Reviews are the most powerful conversion tool an ecommerce store has — and the most consistently undercollected. These prompts help you collect more specific, useful reviews, respond professionally to all review types, and turn strong reviews into marketing content that influences future buyers.

Who these prompts are for

Ecommerce store owners on Shopify, Amazon, Etsy, and similar platforms who want better review collection rates, higher-quality review content, and professional responses that protect brand reputation. Also useful for agencies managing ecommerce clients' review strategies.

The value of better reviews

Generic 5-star reviews ("Great product! Fast shipping!") help less than specific reviews that address objections ("I was worried about the size, but it fits exactly as described — the measurement chart was accurate"). The difference is usually in how you ask. These prompts help you ask in a way that produces specific, useful review content — and respond in a way that shows other buyers you care about the experience.

Ready-to-use review prompts

Review request email sequence

Write a 2-email review request sequence for a [product type] purchase. Email 1 (7 days after delivery): ask for feedback before asking for a review — did everything arrive correctly, are they happy? Email 2 (14 days): the direct review request, with a link and a brief explanation of how reviews help other buyers make confident decisions. Keep both emails under 150 words and genuinely friendly — not transactional.

In-package review request insert

Write copy for a physical insert card included with a [product type] shipment requesting a review. The card should: (a) thank them for the purchase without being sycophantic, (b) give a specific link or QR code placeholder for the review platform, (c) explain in one sentence why their review helps other buyers, (d) include a brief 'here's what makes a helpful review' — 2–3 sentence starters they can adapt. Fit on a 4x6 card.

Positive review response templates

Write 5 response templates for 5-star reviews of a [product type]. Each response should: (a) thank the reviewer and acknowledge something specific in their review (I'll customize), (b) reinforce one key product benefit mentioned, (c) invite them back without sounding desperate, (d) vary in length and tone so responses don't look copy-pasted. Under 75 words each.

Negative review response

Write a professional response to this negative review of a [product type]: [paste the review]. The response should: (a) open with genuine acknowledgment — no defensiveness, (b) take responsibility for the experience without admitting to a defect if one isn't described, (c) offer a specific resolution path (contact, replacement, refund — choose what's appropriate), (d) close warmly, (e) stay under 80 words. Other customers will read this.

Turn reviews into marketing content

I have these 5 customer reviews for [product]: [paste reviews]. Help me turn them into marketing content: (a) extract the 3 most specific outcomes or benefits mentioned, (b) write a testimonial section that weaves the best quotes together for the product page (200 words), (c) write a social proof Facebook ad using the strongest quote as the primary text hook, (d) write 3 UGC-style video ad concepts based on themes from the reviews.

Amazon review optimization

Analyze these 10 Amazon reviews for [product category]: [paste or describe reviews]. Identify: (a) the top 3 objections or hesitations buyers mention before purchase, (b) the top 3 outcomes buyers are most excited about after purchase, (c) gaps between what buyers expected and what they received. Use this analysis to: suggest 2 improvements to the listing copy that would set better expectations and reduce negative reviews.

How to collect better reviews with AI prompts

Better review request prompts ask buyers to describe a specific moment or outcome rather than just rate the product. "What was the moment you realized this was worth it?" produces more compelling review content than "Leave us a review if you're happy!" The specificity in the ask translates directly into specificity in the review — which converts better and handles objections for future buyers.

Common review mistakes

Related resources