Prompt Library

Write Emails People Actually Open

25 copy-paste prompts

25 ChatGPT prompts for email marketing, from subject lines that spike open rates to sequences that convert subscribers into customers.

In short: This page contains 25 copy-paste ready prompts, organized into 5 categories with a description and pro tip for each. The first 5 prompts are free instantly, no signup needed. Hand-curated and tested by the AI Academy team.

Louis Corneloup
By Louis Corneloup · Founder, Techpresso
Last updated ·Hand-curated & tested by the AI Academy team

Subject Lines & Preview Text

5 prompts

Subject Line Generator

1/25

✨ What it does

ChatGPT writes 15 subject lines under 50 characters for [email topic/purpose], five curiosity, five numbers, five urgency, then marks the top three for [describe audience]. You fill those brackets, then test the three strongest.

Generate 15 email subject lines for [email topic/purpose]. Requirements: 5 using curiosity gaps, 5 using specific numbers or data, 5 using urgency or FOMO. Each must be under 50 characters. After generating, mark your top 3 picks and explain why they're strongest. My audience is [describe audience] and the email's goal is [goal].

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Pro tip: Always test subject lines. Ask ChatGPT for A/B variants, then actually run the test. No one — including AI — can predict what your specific audience will open.

Preview Text Optimizer

2/25

✨ What it does

ChatGPT writes three preview-text options under 90 characters for each of [Subject line 1], [Subject line 2], and [Subject line 3], as a second hook rather than a repeat. Paste your subjects, then pick one preview per line.

Here are my email subject lines: 1. [Subject line 1] 2. [Subject line 2] 3. [Subject line 3] For each, write 3 preview text options (under 90 characters) that complement rather than repeat the subject line. The preview text should create a second hook that makes opening the email feel irresistible. The subject line gets attention; the preview text closes the open.

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Pro tip: Subject line + preview text should work as a one-two punch, not an echo. If the subject says "3 mistakes killing your ads," the preview should NOT say "common ad mistakes."

Re-Engagement Subject Lines

3/25

✨ What it does

ChatGPT writes 10 re-engagement subject lines for subscribers quiet since [timeframe], half warm and half curious, none guilt-trippy, for [brand name] in [industry]. You fill the brand and window, then send the least desperate pair.

Write 10 subject lines for a re-engagement email targeting subscribers who haven't opened an email in [timeframe]. My brand is [brand name] in the [industry] space. Half should be warm and personal, half should create curiosity or urgency. None should be guilt-trippy or passive-aggressive. These people opted in once — remind them why.

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Pro tip: The best re-engagement subjects feel like a friend checking in, not a brand demanding attention. "Still interested?" beats "We miss you!"

Personalized Subject Line Formulas

4/25

✨ What it does

ChatGPT writes 10 subject-line formulas using [first name], [company name], [location], [recent action], and [product interest], each with a Formula then Example for [product] and [audience]. Keep the formulas, then drop your merge tags in.

Create 10 subject line templates that incorporate personalization variables: [first name], [company name], [location], [recent action], [product interest]. For each template, write the formula AND a specific example. Format: Formula → Example. My product is [product] and my audience is [audience].

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Pro tip: Use personalization beyond first name. "[Company name]'s [industry] strategy for Q2" performs better than "Hey [first name]" for B2B audiences.

Emoji Subject Line Testing

5/25

✨ What it does

ChatGPT builds an emoji and a clean version of each line in [List 5 subject lines], then says which ones help [describe audience] and which look cheaper with icons. Paste the five, then ship the version that fits your list.

Here are 5 subject lines I'm considering: [List 5 subject lines] For each, create an emoji-enhanced version and an emoji-free version. Then analyze: which emails in this list benefit from emojis and which perform better clean? Consider my audience: [describe audience]. Emojis boost opens for some audiences and kill credibility for others.

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Pro tip: B2C and younger audiences generally respond well to emojis. B2B and executive audiences often respond negatively. Know your audience before decorating.

Email Sequences

5 prompts

Welcome Sequence (5 Emails)

6/25

✨ What it does

ChatGPT writes a 5-email welcome sequence for [brand/product] using [what they signed up for] and [what we sell], from lead magnet through origin story and a teach-then-ask. You fill the context, then load the five in order.

Write a 5-email welcome sequence for new subscribers to [brand/product]. Context: [what they signed up for], [what we sell], [our brand voice — casual/professional/playful/authoritative]. Email 1: Deliver the lead magnet + set expectations Email 2: Tell our origin story + build trust Email 3: Provide value (teach something useful) Email 4: Social proof + customer results Email 5: Soft pitch of [product/service] For each email, write: subject line, preview text, full body copy, and CTA. Keep each email under 200 words.

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Pro tip: Email 1 should deliver value immediately. If they signed up for a lead magnet, the first email is not about you — it's about giving them what they came for.

Abandoned Cart Recovery (3 Emails)

7/25

✨ What it does

ChatGPT writes a 3-email abandoned-cart sequence for [product/store] at [typical range], a gentle 1-hour reminder, a 24-hour objection email for [product type], then a 48-hour last nudge. Set the delays, then paste the three into your flow.

Write a 3-email abandoned cart sequence for [product/store]. Cart value: [typical range]. The sequence should escalate: Email 1 (1 hour after): Gentle reminder, no discount. Subject: casual, helpful. Email 2 (24 hours): Address common objections for [product type]. Add social proof. Email 3 (48 hours): Final nudge with [incentive — free shipping / 10% off / bonus]. Create real urgency. Include subject lines, body copy, and specific CTAs. Brand voice: [describe].

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Pro tip: Email 1 should NOT offer a discount. Train customers that abandoning a cart earns a discount and you'll increase abandonment rates.

Product Launch Sequence (4 Emails)

8/25

✨ What it does

ChatGPT writes a 4-email launch sequence for [product/feature]: pre-launch tease, launch-day offer, day-3 case study, then a deadline close. Fill the product, then schedule the four against your real launch dates.

Write a 4-email launch sequence for [product/feature]: Email 1 (Pre-launch): Build anticipation, tease the problem it solves Email 2 (Launch day): Announce with full value proposition + early-bird offer Email 3 (Day 3): Case study or customer story showing results Email 4 (Final day): Urgency/scarcity — deadline approaching, last chance for [offer] Audience: [describe]. Product price: [price]. Main benefit: [benefit]. Include subject lines, body copy, and CTAs for each.

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Pro tip: The pre-launch email should make the problem feel urgent WITHOUT revealing the product. Make them want the solution before you show it.

Re-Engagement Sequence (3 Emails)

9/25

✨ What it does

ChatGPT writes a 3-email win-back for people who have not opened in [30/60/90] days: a missed-content recap, a preference question, then a last-chance stay-or-go. You pick the inactivity window, then send the third only if they stay silent.

Write a 3-email re-engagement sequence for subscribers who haven't opened an email in [30/60/90] days. Email 1: "Here's what you've missed" — summarize best content/offers from the inactive period Email 2: "Quick question" — ask what content they want, offer preference update Email 3: "Last chance to stay" — explain you're cleaning the list, give them a clear stay/go choice Brand: [name]. Industry: [type]. Tone: [warm/direct/playful]. Make them feel valued, not guilted.

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Pro tip: Email 3 should have a clear "keep me subscribed" button. People who click are confirmed engaged; people who don't can be safely removed.

Nurture Sequence for Leads

10/25

✨ What it does

ChatGPT writes a 5-email nurture for people who took [lead magnet] but have not bought [product], teaching first and answering the main objection through a story. You fill both brackets, then hold the hard sell until the later emails.

Write a 5-email nurture sequence for leads who downloaded [lead magnet] but haven't purchased [product]. The sequence should educate without hard-selling: Email 1: Expand on the lead magnet topic — provide additional value Email 2: Address the #1 objection to [product] indirectly through a story Email 3: Teach a framework related to [problem your product solves] Email 4: Customer spotlight — real results with specific numbers Email 5: Direct pitch with clear CTA and time-limited incentive Space these [3/5/7] days apart. Brand voice: [describe]. Product: [describe with price].

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Pro tip: Emails 1-4 should be genuinely valuable even if they never buy. Building goodwill creates the trust that makes email 5 convert.

Email Body Copy

5 prompts

Newsletter Content

11/25

✨ What it does

ChatGPT writes a tight newsletter for [brand] on [topic this week]: a real hook, one useful thing under 150 words, a secondary link, and one CTA. Swap the topic, then cut any "hope you're having a great week."

Write a newsletter email for [brand] about [topic this week]. Structure: 1) Opening hook (2-3 sentences that make them want to keep reading — no "hope you're having a great week"), 2) Main value section (teach one useful thing in under 150 words), 3) Secondary content (quick link or recommendation), 4) CTA (one clear action). Total length: under 300 words. Voice: [describe]. This newsletter goes to [audience size] [audience type] subscribers.

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Pro tip: The opening line is the most important line. If they stop reading after sentence one, everything else is wasted. Lead with your strongest hook.

Promotional Email That Doesn't Feel Salesy

12/25

✨ What it does

ChatGPT writes a promotional email for [product/offer] that starts with a problem, moves to how [product] helps, adds one result, and ends with a clear CTA. You edit until it reads like advice, then send it once.

Write a promotional email for [product/offer] that leads with value, not the sale. Structure: start with a problem or insight the reader cares about, transition naturally to how [product] addresses it, include one specific result or testimonial, and end with a clear CTA. The email should feel like useful advice from a friend who happens to sell something relevant. Price: [price]. Audience: [describe]. Promotion: [what's the offer].

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Pro tip: If you remove the product mention, the email should still be worth reading. That's the test of a promotional email that leads with value.

Storytelling Email

13/25

✨ What it does

ChatGPT writes a story email for [lesson/benefit related to your product] with situation, complication, turning point, and result, then bridges to [CTA]. Swap in a real customer or founder beat, then keep the bridge short.

Write an email that tells a story to illustrate [lesson/benefit related to your product]. The story should be specific, vivid, and emotional — a real customer experience, a founder story, or a relatable scenario. Structure: situation → complication → turning point → result. End with a bridge from the story to [CTA]. Keep it under 250 words. No "once upon a time" — start in the action.

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Pro tip: Start the email mid-scene: "Sarah was staring at her laptop at 2 AM" not "I want to tell you a story about a customer named Sarah."

Social Proof Email

14/25

✨ What it does

ChatGPT writes a social-proof email for [product] with a numbered before/after, two or three quotes, and a snapshot using [X customers, Y% average improvement]. You confirm the numbers are real, then paste the email.

Write an email featuring customer results for [product]. Include: 1) A specific before/after story (with numbers), 2) 2-3 short testimonial quotes that address different benefits, 3) A "results snapshot" showing aggregate data ([X customers, Y% average improvement]). The email should make the reader think "if they can do it, I can too." CTA: [desired action]. Product: [describe]. Audience: [describe].

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Pro tip: The most persuasive testimonials come from people your audience identifies with. "A busy mom of three" matters more to busy moms than "Fortune 500 CEO."

A/B Copy Variants

15/25

✨ What it does

ChatGPT turns [Paste existing email] into three A/B variants: 40 percent shorter, a new hook, and CTA-first, plus the hypothesis each one tests. You paste the original, then run one variant against it.

Here is my email: [Paste existing email] Create three variants to A/B test: Variant A: Same message but shorter (cut 40% of the words) Variant B: Same message but with a completely different opening hook Variant C: Same message but restructured to lead with the CTA and then explain why For each variant, explain what hypothesis it tests and what the results would tell me about my audience.

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Pro tip: Test one variable at a time. Testing a new subject line AND new body copy simultaneously tells you nothing about what worked.

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Segmentation & Personalization

5 prompts

Segment-Specific Email Versions

16/25

✨ What it does

ChatGPT writes three complete emails from one [describe message/announcement/offer], each tailored to a different Segment 1, 2, or 3 that you [describe]. Fill the three audiences, then send the matching version to each list.

I have one core message to communicate: [describe message/announcement/offer]. I need versions tailored to three different segments of my email list: Segment 1: [describe — e.g., new subscribers, free tier users, enterprise clients] Segment 2: [describe] Segment 3: [describe] For each segment, write a complete email (subject line, body, CTA) that addresses their specific concerns, uses language that resonates with their experience level, and emphasizes the benefits most relevant to them. Same announcement, three different conversations.

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Pro tip: The subject line should be different for each segment, not just the body. New subscribers need curiosity; power users need specificity; enterprise clients need ROI language.

Behavioral Trigger Email

17/25

✨ What it does

ChatGPT writes a triggered email for each behavior on [product/service]: skipped onboarding, 10-day silence after two active weeks, three pricing-page visits, and a first [achievement]. Map them to your events, then turn the five on.

Write a triggered email for each of these user behaviors for my [product/service]: 1. User signed up but never completed onboarding 2. User was active for 2 weeks then went silent for 10 days 3. User visited the pricing page 3 times without purchasing 4. User just hit a major milestone (first [achievement]) 5. User's subscription is renewing in 7 days Each email should feel timely and relevant — not like a batch blast. Include subject lines and body copy under 150 words each.

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Pro tip: Triggered emails outperform scheduled emails because they respond to what the user actually did, not when the calendar says to email them. Timing is content.

Win-Back by Customer Type

18/25

✨ What it does

ChatGPT writes three win-back emails for price-sensitive churn, a missing-feature exit, and a fade-out, each with a subject and an opening. You pick the reason that matches the customer, then send only that version.

Write three different win-back emails for churned customers, each targeting a different churn reason: 1. Price-sensitive churn (they left when prices increased) 2. Feature-gap churn (they needed something you didn't have) 3. Engagement-fade churn (they simply stopped using the product) For each: a subject line, an opening that acknowledges their reason without being presumptuous, a specific reason to return (what's changed), and a clear CTA. Product: [describe]. Current pricing: [describe]. Recent feature additions: [list].

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Pro tip: The worst win-back emails are the ones that ignore why the person left. Address the reason directly. "We know the price increase was frustrating. Here's what we've added since then..." is honest and effective.

VIP Customer Email

19/25

✨ What it does

ChatGPT writes an exclusive email for your top 10 percent of customers for Brand [name], with a real offer, early access, or behind-the-scenes piece regulars do not get. Name the perk you can actually honor, then send it only to that slice.

Write an exclusive email for my top 10% of customers (by spend, engagement, or loyalty). This email should make them feel genuinely valued — not with a generic "you're special" message, but with a specific offer, early access, or behind-the-scenes content that regular subscribers don't get. Brand: [name]. What makes these customers top 10%: [describe]. Exclusive offer: [describe]. Tone: [describe].

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Pro tip: The exclusivity must be real. If "VIP early access" is available to everyone who clicks a link, it's not VIP — it's a marketing gimmick. Your best customers will notice.

Lifecycle Stage Mapping

20/25

✨ What it does

ChatGPT maps email jobs across awareness, consideration, purchase, first-30-day onboarding, months 2 to 12, expansion, and at-risk. You assign one job per stage, then stop sending the same blast to everyone.

Map out the email communication plan for each stage of my customer lifecycle: 1. Awareness (just discovered us) 2. Consideration (evaluating us vs. alternatives) 3. Purchase (just bought) 4. Onboarding (first 30 days) 5. Retention (active customer, months 2-12) 6. Expansion (upsell/cross-sell opportunity) 7. At-risk (showing churn signals) For each stage, write: the email's goal, the optimal tone, one subject line example, and the primary CTA. Product: [describe]. Average customer lifetime: [describe].

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Pro tip: Most email programs only cover stages 1-3 well. Stages 4-7 are where the revenue actually lives — retention emails have 3-5x the ROI of acquisition emails.

Analytics & Optimization

5 prompts

Email Performance Diagnosis

21/25

✨ What it does

ChatGPT diagnoses last month from Open rate [X%], Click rate [X%], Unsubscribe rate [X%], Conversion rate [X%], List size [X], and Send frequency [X per week], and names whether opens, clicks, or persuasion is the leak. You plug the real numbers in, then fix that one leak first.

Here are my email metrics from the last month: Open rate: [X%] Click rate: [X%] Unsubscribe rate: [X%] Conversion rate: [X%] List size: [X] Send frequency: [X per week] Diagnose my email program: what do these numbers suggest is working and what isn't? Is my problem awareness (opens), engagement (clicks), persuasion (conversions), or retention (unsubscribes)? Provide specific recommendations for the weakest metric. Industry: [type].

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Pro tip: Fix the earliest broken stage first. If opens are low, improving click-through copy won't help because nobody is reading it. Work upstream.

A/B Test Plan for Next Quarter

22/25

✨ What it does

ChatGPT builds a 12-week A/B plan for a list you send at [frequency] to [list size] subscribers in [industry], with [element 2] and [element 3] after the first test block. Fill the send facts, then run one test at a time.

Create a structured A/B testing plan for my email program over the next 12 weeks. I send [frequency] to [list size] subscribers in [industry]. Weeks 1-4: Test [element 1 — suggest what to test first based on impact] Weeks 5-8: Test [element 2] Weeks 9-12: Test [element 3] For each test: define the hypothesis, the specific variable being tested, the minimum sample size needed for statistical significance, what a positive result looks like, and how to implement the winning variant.

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Pro tip: Testing without a hypothesis is just changing things randomly. Every test should answer a specific question about your audience that informs future decisions.

List Cleaning Strategy

23/25

✨ What it does

ChatGPT writes a list-cleaning plan for [size] subscribers when you suspect [X%] have not opened in 90-plus days, including how to spot tracking glitches, a 3-email re-engagement, and removal rules. Run the three emails first, then suppress only the still-silent.

My email list is [size] subscribers. I suspect [X%] are inactive (haven't opened in 90+ days). Write a list cleaning strategy that includes: 1) How to identify truly inactive subscribers vs. those with tracking issues, 2) A 3-email re-engagement sequence before removing anyone, 3) Criteria for removal, 4) How to communicate list hygiene to stakeholders who judge success by list size.

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Pro tip: A smaller, engaged list outperforms a large, inactive one every time. Removing 20% of your list can improve open rates by 30-50%. Deliverability is the hidden ROI of list cleaning.

Email-to-Revenue Attribution

24/25

✨ What it does

ChatGPT builds an email attribution model for [my business type]: direct-purchase emails, multi-touch assists, and lifetime value versus other channels, plus events and UTM setup. You implement the tags, then compare email-acquired customers to the rest.

Help me build an email attribution model for [my business type]. I need to track: which emails drive direct purchases, which emails assist in multi-touch conversions, and the lifetime value of email-acquired customers vs. other channels. Suggest: 1) What to track (specific events and tags), 2) How to set up UTM parameters consistently, 3) A simple spreadsheet framework for monthly email revenue reporting, 4) How to calculate true email ROI including list-building costs.

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Pro tip: Most email programs undercount their impact because they only track last-click attribution. A nurture email that didn't get the click but kept you top-of-mind for the later purchase deserves credit too.

Competitive Email Analysis

25/25

✨ What it does

ChatGPT analyzes a month of [3-5 competitor] lists from [Describe: frequency, types of emails, tone, offers, design approach] and names what to steal and which gaps you can own. Paste your notes, then change one of your next sends.

I've subscribed to [3-5 competitor] email lists for the past month. Here's what I've observed about their strategies: [Describe: frequency, types of emails, tone, offers, design approach] Analyze their email strategies: what are they doing well that I should learn from? What gaps or weaknesses do you see that I could exploit? What differentiation opportunities exist? Help me write 3 emails that directly counter their strongest messaging while highlighting my product's unique advantages.

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Pro tip: Subscribe to competitors' emails with a dedicated email address. Analyze not just what they say but when they send, how often, and what triggers specific emails. The strategy is in the patterns.

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Frequently Asked Questions

ChatGPT is effective for several email marketing tasks: generating subject line variations (produce 20 options in seconds instead of agonizing over one), writing first drafts of email body copy that you then refine with your brand voice, creating A/B test variants that test specific hypotheses, building complete email sequences with logical flow between messages, and brainstorming campaign angles you might not have considered. Where ChatGPT saves the most time: the blank-page problem. Starting from a ChatGPT draft and editing is dramatically faster than writing from scratch. Where ChatGPT still needs human oversight: your unique brand voice, audience-specific nuances, compliance and legal requirements, and the strategic decisions about timing, segmentation, and offers. The best workflow: use ChatGPT to generate options, then apply your knowledge of your specific audience to select and refine the strongest output.
It depends on how you use AI. Raw, unedited AI email copy typically underperforms human copy because it tends toward generic language, overuses certain phrases, and lacks the specific, authentic voice that builds subscriber trust. However, AI-assisted email copy — where a human uses AI to brainstorm, draft, and iterate, then applies their own voice, brand knowledge, and audience insight — often outperforms purely human copy because it benefits from both AI speed and human judgment. The key performance factors are specificity (AI tends toward vague; add your specific data and stories), authenticity (edit AI drafts to sound like you, not like a helpful robot), and testing (use AI to generate more variants than you could write manually, then test to find what your audience responds to). The marketer who sends one AI-drafted email per week will outperform the marketer who sends one perfect human-written email per month.
The optimal frequency depends on your audience, content quality, and business model. General guidelines: for most businesses, 1-3 emails per week is the sweet spot. Daily emails work for media companies, news brands, and personality-driven businesses with a strong voice. Monthly emails are too infrequent to build a relationship — subscribers forget who you are. The most important factor isn't frequency but consistency and value. Three emails per week that each deliver genuine value will grow your engagement. Three emails per week that feel like spam will destroy it. Start with one email per week, measure open and unsubscribe rates, and increase frequency only if engagement holds. Every email should pass the "would I be glad I opened this?" test. If it doesn't pass, it shouldn't send — regardless of your scheduled frequency.
Deliverability is the foundation that all email marketing is built on — none of your copy matters if emails land in spam. Core practices: clean your list regularly (remove hard bounces and chronically inactive subscribers), authenticate your domain (set up SPF, DKIM, and DMARC records), warm up new sending domains gradually, maintain a consistent sending frequency, avoid spam trigger words in subject lines (though this matters less than it used to), make unsubscribing easy (hidden unsubscribe links hurt deliverability more than they help retention), and monitor your sender reputation through tools like Google Postmaster. For content: high engagement (opens, clicks, replies) improves deliverability over time, so sending valuable emails to engaged subscribers creates a virtuous cycle. Conversely, sending unwanted emails to disengaged subscribers triggers spam reports that tank your deliverability for everyone. Quality over quantity is not just good marketing — it's good deliverability strategy.

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