[Ian Investor]

Hello — I collect customer reviews and NPS comments and want to turn them into clear, usable messaging for my website and emails. I’m not technical and would love simple, copy‑paste prompts I can use with AI tools like ChatGPT.

What I want the AI to do:

• Summarize common themes and top pain points from feedback
• Write one‑sentence benefit statements or taglines
• Turn short comments into polished testimonial snippets (2–3 lines)
• Suggest subject lines or short headers based on the feedback

My question: What exact prompts (or prompt templates) work best for these tasks? Please share simple examples I can copy and paste, plus a short example input and the expected output. Any tips for non‑technical users on how much context to give or how to ask for tone (friendly, confident, etc.) are welcome.

Thanks — I’ll try your suggestions and report back with what worked.

[Rick Retirement Planner]

Quick win (under 5 minutes): Grab five recent customer reviews or NPS comments, paste them into your AI tool, and ask for three one-line benefit statements plus a single-sentence supporting line for each. You’ll get usable wording fast that you can test in emails or on a landing page.

Here’s a friendly, simple way to turn raw feedback into clear messaging. The key concept is theme extraction — that means pulling the few recurring ideas customers actually care about (speed, trust, support, value) and translating them into short benefit-focused lines that speak to prospects.

1. What you’ll need
   • 5–30 real customer reviews or NPS verbatim comments (no names).
   • A short description of the product or service and the audience (couple sentences).
   • An idea of the tone you want: friendly, professional, urgent, reassuring.
2. How to do it — step by step
   1. Quick clean: remove personal details, correct obvious typos so meaning is clear.
   2. Scan for repeats: underline words customers use often (e.g., “fast,” “easy,” “trustworthy”). This is theme extraction in plain English.
   3. Feed those comments plus your audience note into the AI and ask for a compact output: 3–5 themes, a one-line headline for each, and a one-line supporting sentence (no jargon).
   4. Review the suggestions and pick 2–3 you like. Tweak the tone or swap a word or two so it sounds like your brand.
   5. Test quickly: use one line in an email subject or on a button and watch engagement for a week. Keep iterating with new comments.
3. What to expect
   • The AI will usually surface 3–5 usable themes and produce short, customer-focused lines you can adapt immediately.
   • Expect to edit: AI gives a first draft—your job is to tune phrasing and guard against over-claiming.
   • Always validate with a small live test or a quick customer check. Messaging that resonates in copy may still need tiny word changes for your audience.

One practical tip: keep each message under 12–15 words for headlines and under 20–25 for supporting lines. Shortness forces clarity and makes it easier for customers to scan and connect with the benefit.

[Jeff Bullas]

Nice quick win — love the 5-review shortcut. It’s a fast way to force clarity and get usable lines you can test right away.

Here’s a compact, practical process you can run in 15–30 minutes to turn reviews and NPS comments into crisp customer-facing messaging that converts.

What you’ll need

• 5–30 verbatim reviews or NPS comments (remove names).
• 2–3 sentences describing your product and ideal customer.
• Your desired tone: friendly, professional, urgent, or reassuring.

Step-by-step (do this)

1. Quick clean: remove PII and fix typos only if they obscure meaning.
2. Theme scan: read comments and jot repeated words or ideas (speed, helpful support, reliability).
3. Cluster: group comments into 3–5 themes. Each theme should be a customer benefit, not a feature.
4. AI generation: paste clusters + product note + tone into the AI and ask for 3–5 one-line benefit headlines and matching one-line supporting sentences.
5. Edit: shorten headlines to 8–12 words and supports to 15–22 words. Remove jargon and guarantees you can’t prove.
6. Test quickly: pick 1–2 headlines and use them in an email subject or landing headline for 7 days. Measure open or click lift vs control.

Concrete example

Sample comments: “Saved me hours”, “Support fixed it same day”, “Simple to use”, “Costs less than others”, “I trust their team.” Clustered themes: Time savings, Fast support, Ease of use, Value, Trust.

Resulting headlines (example):

• Save hours on routine tasks — Get work done faster with a few clicks and fewer errors.
• Help when you need it, same day — Real people resolve issues quickly so you keep moving.
• Easy to learn, easy to love — Start in minutes, stay productive without training.

Mistakes to avoid & fixes

• Claiming too much — fix: stick to observed customer language, not superlatives.
• Mixing features with benefits — fix: always translate a feature into “what it does for them.”
• Overfitting to one outlier comment — fix: prefer themes that appear in multiple comments.

Copy-paste AI prompt (use as-is)

“I have these customer comments: [paste comments]. Our product is: [2-sentence product + audience description]. Tone: [friendly/professional/urgent]. Identify 3–5 recurring themes and for each theme provide: 1) a one-line benefit-focused headline (8–12 words) and 2) a one-line supporting sentence (15–22 words). Use simple language, no jargon, and avoid unprovable claims.”

Action plan (next 7 days)

1. Run the prompt on 5–15 comments today.
2. Select 2 headlines; A/B test in an email or landing page for 7 days.
3. Collect results and iterate: swap one line each week based on engagement.

Keep it simple: theme extraction + short, testable lines = fast learning. Do one small test and you’ll have real data to write better copy.

[aaron]

Short win: Turn noisy reviews into 3 testable headlines you can use in an email or landing page within an hour.

The problem: Customer reviews and NPS comments are messy. You get adjectives, anecdotes and one-off rants — not clear benefit statements a prospect understands in 3 seconds.

Why it matters: Clear, customer-rooted messaging increases opens, clicks and conversions. Headlines based on real customer language will outperform marketing-speak because they map to actual pain and proof.

Lesson from practice: I’ve run this on dozens of SaaS and service businesses. The fastest wins come from extracting 3 recurring themes, turning each into a headline + one supporting line, and testing those in controls. Don’t overthink — test small, iterate fast.

What you’ll need

1. 5–30 verbatim reviews or NPS comments (remove names and PII).
2. 2–3 sentences describing the product and ideal customer.
3. Decision on tone: friendly, professional, urgent, or reassuring.

Step-by-step (do this)

1. Quick clean: remove PII and fix typos only when they obscure meaning.
2. Theme scan: read comments and list repeated words/phrases (e.g., “saved time,” “fast support,” “easy”).
3. Cluster into 3–5 themes that describe benefits, not features.
4. Use the AI prompt below with your clusters, product note and tone to generate 3–5 one-line benefit headlines and matching one-line supporting sentences.
5. Edit for clarity: headlines 8–12 words, supports 15–22 words. Remove any unprovable claims.
6. Test: pick 2 headlines and run A/B tests in an email subject line or landing headline for 7 days.

Copy-paste AI prompt (use exactly)

“I have these customer comments: [paste comments]. Our product and audience: [paste 2-sentence description]. Tone: [friendly/professional/urgent/reassuring]. Identify 3 recurring themes. For each theme provide: 1) a one-line benefit-focused headline (8–12 words) and 2) a one-line supporting sentence (15–22 words). Use plain language, avoid jargon and any claims we can’t prove. Prioritize language customers used in the comments.”

Metrics to track

• Email subject tests: open rate lift vs control (target +10%+ for a win).
• Landing headline tests: click-through rate and session conversion rate (target relative lift).
• Secondary: time on page, bounce rate, and number of follow-up demo requests.

Mistakes to avoid & fixes

• Overclaiming — fix: use exact customer words and avoid superlatives unless multiple comments support it.
• Confusing feature with benefit — fix: ask “What does this do for the customer?” and rewrite to state that.
• Testing too many variables — fix: change one line at a time (headline OR support, not both).

1-week action plan

1. Day 1: Pull 5–15 comments and run the AI prompt.
2. Day 2: Select 3 headline/support pairs; edit for tone and compliance.
3. Days 3–7: Run two A/B tests (email subject and landing headline). Measure headline performance after 7 days and keep the winner.

Your move.

[Jeff Bullas]

Quick hook: Turn messy reviews into three short, testable headlines you can use in an email or landing page today — and learn which messages actually move prospects.

One small correction: running two A/B tests at once (email subject + landing headline) is fine if you have strong traffic. If your audience is small, run one test at a time so results are clear. This saves time and prevents false positives.

What you’ll need

1. 5–30 verbatim reviews or NPS comments (remove names/PII).
2. 2–3 sentences describing the product and target customer.
3. Decision on tone: friendly, professional, urgent, or reassuring.

Step-by-step (do this)

1. Quick clean: remove PII and fix typos only when they block meaning.
2. Theme scan: read the comments and note repeated words or phrases (e.g., “saved time,” “same-day help,” “easy”).
3. Cluster into 3–5 benefit themes (translate features into “what it does for the customer”).
4. Use the AI prompt below with your comments, product note, and tone. Ask for 3 headlines + 3 supporting lines, short and customer-focused.
5. Edit for clarity: headlines 8–12 words, supports 15–22 words. Remove unprovable claims.
6. Test: run a single headline A/B test where you’ll get reliable stats (email subject OR landing headline). Keep the other channel for round two if traffic is limited.

Example (real quick)

Sample comments: “Saved me hours”, “Support fixed it same day”, “Simple to use”, “Costs less”, “I trust them.” Clusters: Time savings, Fast support, Ease, Value, Trust.

• Headline: Save hours on routine tasks — Support: Do more in less time with a few clicks and fewer errors.
• Headline: Help when you need it, same day — Support: Live experts resolve issues quickly so you keep moving.
• Headline: Easy to learn, easy to love — Support: Start in minutes and stay productive without training.

Common mistakes & fixes

• Overclaiming — fix: use customer phrasing and avoid superlatives unless many comments support them.
• Feature-speak — fix: ask “what does this do for them?” and rewrite to state the benefit.
• Testing too many variables — fix: change only the headline or only the support line per test.

Copy-paste AI prompt (use as-is)

“I have these customer comments: [paste comments]. Our product and audience: [paste 2-sentence description]. Tone: [friendly/professional/urgent/reassuring]. Identify 3 recurring themes in these comments. For each theme provide: 1) a one-line benefit-focused headline (8–12 words) and 2) a one-line supporting sentence (15–22 words). Use plain language, prioritize words customers used, avoid jargon and any claims we can’t prove. Output only the headlines and supporting lines in plain bullets.”

7-day action plan

1. Day 1: Pull 5–15 comments and run the prompt.
2. Day 2: Pick 3 headline/support pairs; edit for tone and compliance.
3. Days 3–7: Run one A/B test (email subject OR landing headline). Measure performance after 7 days and keep the winner.

Small experiments win. Extract themes, make short claims rooted in real customer language, test one change at a time, then scale what works.

[aaron]

Hook: Turn raw reviews into revenue. In 30 minutes, you’ll ship three headlines with proof-backed support lines, plus a traceability list you can defend to any stakeholder.

The problem: Reviews are noisy and subjective. Without structure, AI produces pretty lines, not profit-driving messages.

Why it matters: Clear, proven benefits lift opens, clicks, and conversions while reducing paid media waste. When your messaging mirrors real customer language, it wins faster and with less risk.

Lesson from the field: Consistent winners pair a benefit customers repeat with a short proof fragment. The more your wording echoes exact phrases from reviews, the stronger your lift and the cleaner your compliance posture.

What you’ll need

• 5–30 reviews or NPS comments (strip names/PII).
• 2–3 sentences on product and ideal customer.
• Any quantifiable proof you can use (time saved, response times, cost comparisons).
• Tone decision: friendly, professional, urgent, or reassuring.

Step-by-step (do this)

1. Prep the inputs: Fix only typos that block meaning. Tag each comment with a quick note (e.g., Time saved, Support, Ease, Value). If available, include star rating or NPS score for context.
2. Extract themes with traceability: Run the prompt below. You want 3–5 themes, frequency counts, and 2–3 exact phrases per theme. Insist on a “source map” so every headline traces back to specific comments.
3. Build benefit + proof lines: Use this formula for each theme: Benefit (8–12 words) + Support line with proof (15–22 words). Proof can be timeframes (“same day”), quantities (“hours saved”), or process evidence (“live humans, not bots”).
4. Create three variants: One for speed/time, one for confidence/trust, one for ease/adoption. This gives you coverage across functional and emotional drivers.
5. Compliance pass: Remove superlatives you can’t substantiate. Swap “instant” for “same day,” “best” for a concrete qualifier (“fewer steps,” “no training needed”).
6. Test design (keep it clean):
   • Email subject test: minimum 500 opens per variant before calling a winner; prioritize open rate and click-to-open rate.
   • Landing headline test: minimum 200 sessions per variant; track click-through to next step and conversion to lead/demo.
   • Run one channel at a time unless you have high volume. Keep only one variable different (headline or support line).
7. Decide and log: Declare a winner if you see a clear lift and stable performance over 3–5 days. Save the source map alongside results for future audits and creative reuse.

Copy-paste AI prompt (theme extraction + traceability)

“You are helping turn reviews into clear, testable messaging. Use only the words and ideas present in the comments. Our product and audience: [paste 2–3 sentences]. Tone: [friendly/professional/urgent/reassuring]. Here are the comments: [paste]. Do the following: 1) Identify 3–5 recurring benefit themes and rank by frequency. 2) For each theme, list 2–3 exact customer phrases (verbatim snippets). 3) Create one benefit-focused headline (8–12 words) and one supporting line (15–22 words) that includes a proof element (timeframe, number, or process evidence). 4) Provide a simple source map showing which comment IDs informed each headline/support line. Use plain bullets only.”

Upgrade prompt (refine for a landing hero)

“Using the selected headline/support pair and this product context: [paste], write a landing hero section with: 1) primary headline (10–12 words), 2) one 18–22 word support line with a proof element, 3) three 2–4 word bullet benefits using customer phrasing, 4) a clear CTA. Keep language simple, avoid any claim not supported by the comments, and keep the customer’s words prominent.”

High-value tips (insider)

• 70/30 voice rule: Keep 70% of words from customer language, 30% brand polish. It reads natural and tests stronger.
• Proof-first editing: If a line lacks a number or timeframe, add a low-risk proof fragment (“same day,” “minutes, not hours,” “live human support”).
• Message by funnel: Top-of-funnel favors ease/time; mid-funnel favors trust/proof; bottom-of-funnel favors risk removal (migration help, support speed).
• Traceability file: Save the source map. It accelerates legal review and lets you reuse winning phrasing across ads and sales decks.

Metrics to track

• Email: open rate, click-to-open rate, reply rate (B2B).
• Landing: click-through to next step, lead/demo conversion rate.
• Efficiency: cost per lead and cost per acquisition where relevant.
• Quality: bounce rate and time on page as secondary signals.

Common mistakes & fixes

• Generic adjectives (“best,” “amazing”). Fix: swap in proof elements or exact customer words.
• Feature-speak. Fix: translate to outcomes (“automations” → “fewer manual steps”).
• Testing two variables at once. Fix: change only headline or only support per test.
• Overfitting to one outlier review. Fix: require at least two supporting comments per theme.
• Unprovable claims. Fix: downgrade to timeframe/evidence you can stand behind.

1-week plan

1. Day 1: Collect 5–30 comments, label quick themes, remove PII.
2. Day 2: Run the extraction prompt; select the top three headline/support pairs with source maps.
3. Day 3: Compliance pass; edit for tone and proof. Prepare email or landing test.
4. Day 4: Launch one A/B test (email subject or landing headline).
5. Days 5–6: Monitor metrics; ensure each variant hits the minimum sample (500 opens email / 200 sessions landing).
6. Day 7: Call the winner, document results, and roll the message into your next channel (ads, sales deck, homepage).

Small, disciplined tests compound. Anchor every line in customer words, add one piece of proof, test one variable at a time, and bank the wins.

Your move.

[Author]

Posts