Prompt Library

Cold Emails That Get Replies (Not Blocked)

20 copy-paste prompts

20 ChatGPT prompts for personalized outreach, high-opening subject lines, follow-up sequences, and B2B prospecting emails that read human and convert.

In short: This page contains 20 copy-paste ready prompts, organized into 4 categories with a description and pro tip for each. The first 5 prompts are free instantly, no signup needed. Drafted with AI writing assistance and checked against our editorial policy.

Louis Corneloup
By Louis Corneloup · Founder, Techpresso
Last updated ·Drafted with AI assistance (how we make prompts)

First-Touch Emails

5 prompts

Personalized Cold Email

1/20

✨ What it does

ChatGPT writes a cold email with a specific subject, an opener from [paste from LinkedIn/their site/recent post], one relevant pain, a soft offer, and a low-stakes CTA. Swap in a detail only you saw, then send it and skip the hope-you-are-well line.

Write a cold email to [describe prospect — role, company, industry]. My offer: [describe]. Specific detail I know about them: [paste from LinkedIn/their site/recent post]. Structure: (1) subject line that references something specific, (2) opener line referencing that specific detail (not "hope you're well"), (3) one-line pain point relevant to their role, (4) soft offer framed as help, not pitch, (5) low-stakes CTA ("open to a quick reply?" not "30 min call"). Max 120 words. Feel human.

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Pro tip: The opener line is the tell. If it could be sent to anyone, you're dead. "Saw your team hired 3 engineers this month" beats "Hope you're well." Research once, template the rest.

Subject Line A/B Set

2/20

✨ What it does

ChatGPT writes 10 subject lines for [offer/prospect], including a [name] question and a [mutual name] referral angle, with open-rate guesses. Choose two that do not look like spam, then A/B them on your first small batch.

Write 10 cold email subject line variations for [offer/prospect]. Goal: open rate over 40%. Categories (2 each): (1) short + curious (3-5 words), (2) personalized ("[name], quick question"), (3) relevant benefit ("cut [X] by 30%"), (4) referral / mutual connection ("[mutual name] suggested I reach out"), (5) soft and low-pressure. Avoid spam triggers (FREE, !!!, ALL CAPS). For each: predicted open rate + best use case.

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Pro tip: Short subject lines (3-5 words) often outperform clever ones. "Quick question" beats "Leveraging AI for sustainable growth." Curiosity beats cleverness every time.

Opener Line Generator

3/20

✨ What it does

ChatGPT writes 15 first sentences after Hi [name], each tied to LinkedIn, news, a hire, a launch, a podcast, or their content. Rank the ones that sound like a human noticed, then pick one opener and write the rest of your email.

Write 15 cold email opener lines (first sentence after "Hi [name]"). Prospect type: [describe]. Sources of personalization available: LinkedIn activity, company news, recent hires, product launches, their podcast appearances, their content. Each opener must: (1) reference something specific that a human would notice, (2) not sound like a compliment or kiss-up, (3) transition naturally to the pitch. Rank by which feels most human.

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Pro tip: The opener compliment trap: "Love your content!" = skipped. "Your post on MRR churn stuck with me because we're hitting 4.2% too" = replied. Compliments without specifics feel like buttering up. Observations feel human.

Value-First Cold Email

4/20

✨ What it does

ChatGPT writes a give-before-ask email to [prospect] using [insight, free audit, resource, introduction], with no pitch and a polite close. Send the value with nothing to buy, then wait for a reply before you ask for time.

Write a "give before ask" cold email to [prospect]. My offer: [describe — eventually]. Value I can give first: [insight, free audit, resource, introduction]. Structure: (1) subject line hinting at value, (2) direct opener about what I noticed, (3) give the value (specific, brief), (4) no pitch in this email, (5) polite close. The ask comes in email 2. Goal: earn the right to pitch.

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Pro tip: Give-before-ask outreach converts 3-5× better than pitch-first. But the value has to be real — "quick tip" without substance reads as a cheap hook. Give something a stranger would pay for, then ask in email 2.

Short & Direct Cold Email

5/20

✨ What it does

ChatGPT writes a 50-80 word email to [prospect] with a specific subject, a personal opener, one-line pitch, and one-sentence CTA. Cut it until it fits, then send from your inbox without bullets, images, or a long value prop.

Write an extremely short cold email (50-80 words) to [prospect]. Offer: [describe]. Structure: (1) specific subject line, (2) opener with personalization, (3) one-line pitch (what I do for who), (4) one-sentence CTA. That's it. No sig image, no bullet lists, no lengthy value props. Direct, respectful of their time. Must feel like a peer emailing, not a sales rep.

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Pro tip: Executives reply to short cold emails at 2-3× the rate of long ones. If it takes more than 30 seconds to read, it's too long. Respect their time and they'll respect your ask.

Follow-Up Sequences

5 prompts

4-Email Follow-Up Sequence

6/20

✨ What it does

ChatGPT writes a 4-email follow-up from [describe or paste] on days 3, 7, 14, and 21, each a new angle, shorter, no guilt, with a graceful breakup on email 4. Load the four into your sequencer, then stop after anyone replies.

Write a 4-email follow-up sequence to a cold email that got no reply. Original email: [describe or paste]. Prospect: [describe]. Timing: day 3, 7, 14, 21. Each email: (1) new angle, not a repeat, (2) shorter than the last, (3) no guilt-trip ("just following up"), (4) specific subject line, (5) clear single CTA. Email 4 is the breakup: polite goodbye that leaves the door open. Goal: 15-25% reply rate cumulative.

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Pro tip: Follow-ups drive 60-70% of cold email replies. But "just following up" kills reply rates. Each follow-up should add value or a new angle — never a guilt trip. Respect their silence.

The Breakup Email

7/20

✨ What it does

ChatGPT writes a closing-the-loop breakup email that admits they may be busy, says you are closing the file, and leaves one easy way back. Send it only after three unanswered notes, then actually stop following up.

Write a "breakup" final follow-up email to a cold prospect who hasn't replied to 3 previous emails. Tone: graceful, low-pressure, door-open. Structure: (1) subject like "Closing the loop" or "Should I move on?", (2) acknowledge they're probably busy / not interested, (3) state I'm closing the file, (4) leave one easy out ("if it's a timing thing, reply with 'ping me in 3 months'"), (5) no guilt, no final pitch. Max 80 words.

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Pro tip: Breakup emails consistently get the highest reply rate of any follow-up — sometimes 10-15%. People who ignored every prior email suddenly reply "sorry, been slammed, yes interested." Loss aversion is real.

Post-Demo / Post-Meeting Follow-Up

8/20

✨ What it does

ChatGPT writes a follow-up after a [demo / discovery call / meeting] with [describe prospect], a short recap, a resource from [list], and a next step from [describe or "unclear"]. Add the real next date, then send it the same day while your call is fresh.

Write a follow-up email after a [demo / discovery call / meeting] with [describe prospect]. Key points discussed: [list]. Next step they agreed to: [describe or "unclear"]. Structure: (1) subject referencing the call, (2) short recap (1-2 lines), (3) specific value-add — a resource or insight based on what we discussed, (4) clear next step with a date, (5) close. Goal: keep momentum without nagging.

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Pro tip: Post-demo follow-ups often drop the ball because they're generic. Include something from the actual conversation ("you mentioned your team uses X — here's a resource about Y"). Shows you listened, not just took notes.

Re-Engagement Email

9/20

✨ What it does

ChatGPT writes a re-engagement email that names the gap without groveling and shares a new update, case study, or product change. Fill [describe why they went cold, if known], then send it and leave your next move as an easy reply.

Write a re-engagement email for a lead who went cold. Last activity: [describe — demo, email exchange, proposal]. Time since last touch: [weeks/months]. Context: [describe why they went cold, if known]. Structure: (1) acknowledge the gap without apologizing, (2) share something new and relevant (product update, case study, industry insight), (3) open-ended question to invite reply, (4) no pressure close. Feel like a friend, not a sales rep.

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Pro tip: Don't apologize for the silence — that makes it awkward. Just pick up where you left off. "Hey, wanted to share something I thought you'd find useful" beats "Sorry for not reaching out sooner."

Trigger-Based Follow-Up

10/20

✨ What it does

ChatGPT writes a trigger follow-up for a promotion, hire, post, raise, or launch, with a real acknowledgment and a natural offer tie-in. Specify the event, then send within a day from your own name and skip a generic congrats.

Write a follow-up email triggered by [event — they got promoted, hired for new role, published content, raised funding, launched product]. Prospect: [describe]. Event details: [specify]. Structure: (1) subject referencing the trigger, (2) genuine acknowledgment (not congrats-spam), (3) connect the trigger to a relevant way I can help, (4) specific + soft CTA, (5) brief close. Feel like a peer, not a vulture.

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Pro tip: Trigger-based outreach gets 3-5× the reply rate of cold cold. Promotions, funding announcements, new roles, and product launches are all legitimate reasons to reach out. The timing does half the work.

Strategy & Targeting

5 prompts

ICP Definition

11/20

✨ What it does

ChatGPT defines an ideal customer for [product/service]: 3-5 attributes, where to find them, who to skip, and a scoring rubric. Use that score on your next list, then only write emails to the high-scoring rows.

Help me define the ideal customer profile for my [product/service]. What I know about my best customers: [describe]. My offer: [describe]. Deliver: (1) 3-5 attributes of the ideal customer (industry, size, role, tech stack, pain), (2) how to find these customers (LinkedIn filters, tools, directories), (3) disqualifiers — who to avoid, (4) a "red flag" list (bad-fit signals), (5) a scoring rubric to prioritize prospects. Specificity beats breadth.

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Pro tip: Broad ICPs = generic emails = low response rates. Specific ICPs ("B2B SaaS CMOs at Series A-B companies in fintech") let you write emails that feel hand-written. Narrow wins in cold email.

Outreach Campaign Structure

12/20

✨ What it does

ChatGPT designs an outreach campaign to [book X demos / sign X clients / generate X leads] over [weeks], with list size math, daily volume, sequence length, and what to test. Build the list to that count, then cap daily sends so you stay inbox-safe.

Design a cold outreach campaign. Goal: [book X demos / sign X clients / generate X leads]. Target: [describe ICP]. Timeline: [weeks]. Deliver: (1) total prospect count needed (working backward from conversion rates), (2) sending schedule and volume per day (deliverability-safe), (3) sequence structure (how many emails over how many days), (4) A/B test plan — what to test first, (5) tooling recommendations, (6) metrics dashboard.

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Pro tip: Cold email is a math game. 2,000 contacts × 40% open × 15% reply × 20% meeting = 24 meetings. Back into the volume from your conversion rates. Ship 1,000 emails, not 50 hand-crafted ones.

Personalization Variables

13/20

✨ What it does

ChatGPT shows how to pull name, company, role, a compliment-worthy detail, a relevant pain, and a trigger from [LinkedIn URLs, company website, recent news]. Fill those six fields per row, then refuse to send any email from your list with a blank detail.

Help me extract personalization variables from a prospect list. Sources I have: [LinkedIn URLs, company website, recent news]. For each prospect, I want to populate: (1) their name, (2) company, (3) role, (4) a specific compliment-worthy detail, (5) a pain point relevant to my offer, (6) a recent trigger event. Describe: (1) how to scrape / gather this efficiently, (2) a clear spreadsheet format, (3) which fields are must-have vs nice-to-have, (4) ethical/legal boundaries.

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Pro tip: Personalization at scale requires structure. Never manually research every prospect — build a repeatable process. Best personalization variables: specific post they wrote, specific hire they made, specific stat from their site.

Deliverability Setup

14/20

✨ What it does

ChatGPT sets up SPF, DKIM, DMARC, a warming schedule, weekly volume caps, and hygiene rules from [describe domain, tools] so more mail hits the inbox. Warm your domain first, then raise volume only after placement holds.

Help me set up a cold outreach infrastructure for high deliverability. Current: [describe domain, tools]. Goal: inbox placement >80%. Deliver: (1) SPF, DKIM, DMARC setup instructions, (2) domain warming schedule, (3) sending volume limits by week, (4) signal-hygiene rules (no links in first email, no images, no attachments), (5) list hygiene (removing bounces, spam traps), (6) monitoring tools for deliverability. Stay white-hat.

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Pro tip: Deliverability is the boring part that makes everything else work. A perfect email to spam folders = zero replies. Warm your domain, start slow, and sacrifice volume for inbox placement in month 1.

Sequence Performance Analysis

15/20

✨ What it does

ChatGPT analyzes sent, opened, and replied counts per email, names the drop-off, winning subjects and CTAs, and three experiments to run. Fix the weakest email first, then relaunch only that one change in your sequence.

Analyze my cold email sequence performance. Data: [paste or describe — sent, opened, replied per email]. Identify: (1) which email in the sequence has the biggest drop-off, (2) which subject lines earn opens, (3) which CTAs earn replies, (4) what's likely killing conversion (copy, targeting, timing), (5) 3 specific experiments to run next week, (6) benchmark comparison (industry norms). Be specific.

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Pro tip: Cold email metrics lie without benchmarks. 20% open rate is bad in some industries, great in others. Always benchmark against your category, not industry-wide averages. Then optimize the weakest link in your sequence.

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B2B & Sales

5 prompts

Enterprise Outreach Email

16/20

✨ What it does

ChatGPT writes a C-level cold email to [VP / Director / C-level] with a plain subject, a time-respecting opener, an outcome in their terms, and a credibility line. Cut clever tricks, then send it from your own name and keep it short.

Write a cold email to an enterprise prospect. Title: [VP / Director / C-level]. Company size: [describe]. My offer: [describe]. Structure: (1) specific subject line (no clever tricks — C-levels don't reply to gimmicks), (2) direct opener that respects their time, (3) specific outcome framed in their terms (revenue, efficiency, risk), (4) credibility line (relevant client or stat), (5) low-effort CTA. Max 100 words. Professional peer tone.

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Pro tip: Enterprise buyers hate cold emails that sound like small business pitches. Write as if you're equals. Mention the specific outcome in dollars or percentages. Name-drop credibility conservatively. Respect the time.

Multi-Threading Strategy

17/20

✨ What it does

ChatGPT plans multi-thread outreach into [company name] with 3-5 roles, a tailored email per role, and how to stagger the sends. Add [brainstorm by role] contacts, then message your operator before the executive unless they are the only door.

Help me multi-thread into [company name]. Primary contact: [describe]. Additional decision-makers I should reach: [brainstorm by role]. Deliver: (1) a list of 3-5 roles worth contacting, (2) a tailored email for each role's priorities (CEO sees strategy; CFO sees ROI; VP Ops sees efficiency), (3) how to coordinate outreach without looking spammy, (4) how to reference other contacts (or not), (5) timing between touches.

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Pro tip: Single-threaded enterprise deals die. Multi-threading (reaching 3-5 decision-makers) doubles close rates. But coordinate carefully — reference without name-dropping or it looks like you're working around your contact.

Post-Event Follow-Up

18/20

✨ What it does

ChatGPT writes a follow-up to [prospect] after a conference, webinar, or meetup, recalling one specific thing you talked about and a soft coffee or call ask. Send it within 48 hours, then attach nothing but that one next step.

Write a follow-up email after meeting [prospect] at [event — conference, webinar, networking]. Context of our chat: [describe]. Structure: (1) subject referencing the event, (2) warm opener recalling a specific thing from our conversation, (3) tie it back to something actionable I can offer, (4) specific soft CTA (coffee, call, resource), (5) low-key close. Feel human, not templated. Send within 48 hours of the event.

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Pro tip: Post-event follow-ups die when sent 2 weeks late. Send within 48 hours — while the meeting's memory is still fresh. And reference something specific they said, not just "great meeting you."

Referral Ask Email

19/20

✨ What it does

ChatGPT writes a referral ask to [existing client / connection] with a warm opener, a specific who-you-want description, and a forwardable intro they can paste. Add how you know them, then send the intro block so they do not have to write it.

Write an email asking [existing client / connection] for a referral. My relationship with them: [describe]. The kind of referral I want: [describe specific ICP]. Structure: (1) warm opener that doesn't feel transactional, (2) explicitly ask for the referral with specifics (who exactly I'm looking for), (3) make it easy — forwardable email they can paste, (4) acknowledge if they don't have anyone in mind, (5) gratitude close. Never pushy.

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Pro tip: Vague referral asks fail ("know anyone who needs marketing?"). Specific asks succeed ("know any B2B SaaS founders 50-200 employees struggling with X?"). Make the intro easy to send — write their email for them.

Proposal Follow-Up

20/20

✨ What it does

ChatGPT writes a proposal follow-up to [prospect] [days ago] after [describe], with a quick-check subject, an offer to clarify, and a soft next step. Match the tone to whether they were excited or skeptical, then send once from your thread and wait.

Write a follow-up email after sending a proposal to [prospect]. Proposal details: [describe]. Sent: [days ago]. Their silence: [describe context — were they excited / neutral / skeptical]. Structure: (1) subject like "Quick check on the [X] proposal", (2) warm opener, (3) acknowledge they're busy, (4) offer to address questions or clarify, (5) soft next step with a date, (6) close. Goal: move the deal forward without nagging.

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Pro tip: Proposal silence usually means the prospect has internal blockers, not disinterest. Offer to help solve those ("happy to discuss with anyone on your team") instead of just "any thoughts?"

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Frequently Asked Questions

Yes, when done right. Generic blast emails have 1-2% reply rates and may hurt your sender reputation. Personalized, targeted cold email at low volume (50-200/day) can hit 15-30% reply rates with proper ICP, deliverability, and copy. The bar has risen — mass-spam tactics are dead, but crafted outreach still works better than any paid channel for high-value B2B deals.
3-5 follow-ups is optimal. 60-70% of cold email replies come from follow-ups, not the first touch. But follow-ups must add new angles — not repeat the first email. Stop after email 5 unless you have genuine news or a relevant trigger event. Persistent nagging hurts your brand more than it helps.
Industry averages: 1-3% for generic, 5-10% for targeted, 15-25% for highly personalized + relevant offer. Above 30% is exceptional and usually means you've nailed the ICP + timing + offer combination. If you're under 3%, the problem is targeting or relevance — not copy. Fix the foundation before optimizing wording.
Yes, if you feed it structured inputs. Give ChatGPT each prospect's name, role, company, a specific detail (from LinkedIn or their content), and the pain point, and it can generate genuinely personalized emails. The key is the inputs — garbage personalization variables = generic-feeling emails. Spend more time on data, less on prompts.
Cold email wins on volume, scalability, and reaching most prospects (everyone has email). LinkedIn wins on relationship-building and visible context (they see your profile). Best strategy: use both in sequence — LinkedIn view + connection request + email. Multi-channel outreach gets 2-3× the reply rate of single-channel.

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