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Best prompts for ChatGPT Marketing for sales emails using customer feedback collection
13 practical, copy-ready prompts to turn customer feedback into high-converting sales emails. Each entry contains a ready-to-run AI prompt, a short explanation, a realistic example input, and suggested AIs that work best.
GPT-5
Claude Opus 4
Gemini 2.5 Pro
Claude Sonnet 4
Gemini 2.5 Flash
You've got a goldmine of customer feedback sitting in your inbox, but turning those raw comments into compelling sales emails feels like trying to solve a puzzle with missing pieces. Most marketers know their customer insights are valuable, yet they struggle to transform honest feedback into email copy that actually converts.
This collection of 13 battle-tested prompts bridges that gap by giving you ready-to-use AI commands that transform customer feedback into high-converting email campaigns. From turning NPS comments into powerful testimonials to crafting personalized win-back sequences, each prompt includes detailed instructions, realistic examples, and suggested AI tools. Instead of staring at blank email templates wondering what to write, you'll have a systematic approach to create segmented campaigns, recovery sequences, and engagement emails that speak directly to your customers' actual experiences and needs.
1
Segment feedback into email audience + subject lines and bodies
Input: raw customer feedback (list). Task: 1) Identify up to 4 distinct customer segments based on attitudes or needs from the feedback. 2) For each segment, list 3 concise subject lines (max 60 characters) and 2 short sales email bodies (100–160 words each) tailored to that segment. Each email must include a one-line preview text and a single clear CTA. Return JSON with keys: segmentName, definingQuotes (1–2 sample quotes), subjects[], emails[{body, previewText, CTA}].
Analyze raw feedback, create customer segments, then produce tailored subject lines and two short email body options per segment.
2
Turn NPS comments into email-ready testimonials
Input: list of NPS scores and comments (e.g., [{score:9, comment:"..."}]). Task: 1) Filter comments with positive sentiment (score 9–10, or positive wording). 2) Create 6 testimonial snippets (10–25 words) derived from the comments, each with a concise attribution format (name, company, title optional). 3) For each snippet propose where to place it in an email (subject line, hero, social proof section). Return JSON array of {snippet, attribution, placement}. Keep quotes faithful and shorter than originals.
Extract short, persuasive testimonial snippets from NPS/open-text comments, format them for use in emails with attribution style and suggested placement.
3
Recovery email sequence for negative feedback
Input: a negative feedback comment, customer's name, product used, and last purchase date. Task: Write a 2-email sequence: Email 1 (apology and quick fix) 120–170 words; Email 2 (follow-up after 5 days) 80–130 words with a tailored offer to retain the customer. Include subject lines, preview texts, body copy, and a suggested small retention offer. Keep tone empathetic and action-oriented.
Create compassionate, conversion-focused follow-up emails for customers who submitted negative feedback, with resolution steps and an upsell or retention offer.
4
A/B test subject lines and preview texts from feedback themes
Input: top 3 feedback themes and product name. Task: For each theme produce 4 subject lines (short) and 4 preview texts (40–80 chars) paired as 4 A/B variants. Include a one-sentence hypothesis for why each variant should perform better. Return structured list of variants with hypothesis.
Generate multiple subject and preview text pairs for A/B testing that reflect top feedback themes (e.g., speed, price, integrations).
5
Re-engagement email for neutral feedback
Input: customer name, neutral comment excerpt, last active date, and top product benefit from feedback. Task: Write a single re-engagement email (100–150 words) with subject, preview, body, and a 2-line PS that invites feedback + a 10% time-limited offer. Personalize using the comment excerpt. Keep tone friendly and concise.
Convert neutral or lukewarm feedback into a personalized re-engagement email that uses empathy, social proof, and a limited-time incentive.
6
Write a feedback-collection email that drives detailed responses
Input: product name, survey goal (e.g., usability, feature requests), and incentive (e.g., discount, gift card). Task: Produce: subject line (max 60 chars), preview text, body (60–120 words), 5 specific survey questions (mix of multiple choice and open-ended), and exact incentive wording and redemption steps. Keep language succinct and mobile-friendly.
Compose a short survey email that motivates customers to provide actionable feedback and offers an incentive. Include subject, body, 5 targeted questions, and incentive phrasing.
7
Drip campaign leveraging early feedback themes
Input: product name, three most common onboarding feedback topics, target action (e.g., upgrade or buy add-on). Task: Produce 4 emails (Day 0, Day 3, Day 7, Day 14). For each: subject, preview, body (80–140 words), primary CTA, and suggested dynamic personalization token (e.g., {topFeature}). Focus each email on one feedback theme and measure goal.
Create a 4-email onboarding drip sequence for new customers that incorporates initial feedback themes to drive feature adoption and a first purchase.
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