Copy & Personalization
Writing concise, meaningful, context-aware outreach; avoiding generic personalization, hype, manipulative CTAs, and spam-like copy.
46%
Best tweets about Cold Email
50 Best Tweets About Cold Email (2026)
Discover the best tweets about cold email, including targeting, offers, subject lines, personalization, deliverability, follow-ups, and campaign results.
Specific cold-email campaigns, targeting, copy, offers, deliverability, sequences, testing, and measured outcomes.
- Creators
- 35
- Updated
Original Xholic analysis
What 50 top Cold Email posts reveal
Cold-email discussion repeatedly emphasizes targeting, concrete offers, and deliverability discipline. Reported campaign examples use intent-led lists and value-first asks, while recipient posts warn that automation and engagement scraping can make outreach feel like spam.
- Dominant tone
- Positive
- Median score
- 15.1
- Leading format
- Opinion
- Recent posts
- 38%
52% of posts
All-time engagement
42% of posts
Published in 90 days
Conversation map
The themes creators return to
Deliverability & Infrastructure
Sender-domain protection, mailbox warming, authentication, verification, send limits, spam avoidance, and inbox placement.
28%
Targeting & Segmentation
Building narrow ICPs, tiering accounts, and prioritizing relevance over list size or send volume.
28%
Offer Design & Lead Magnets
Positioning concrete, low-friction, highly specific offers, including audits, blueprints, lead magnets, and proof-based angles.
26%
Lead Data & Enrichment
Lead sourcing, scraping, contact enrichment, verification, waterfalling, and low-cost outbound data stacks.
24%
Testing & Performance Measurement},{
Measuring replies, conversations, meetings, sales, segment performance, and testing offers or audiences before copy details.
22%
Intent Signals & Trigger Events
Using public intent signals—funding, hiring, social engagement, news, reviews, job posts, and online complaints—to time outreach.
18%
Sequences & Follow-up
Designing multichannel touch patterns, automated follow-ups, permission asks, reply handling, and periodic reactivation.
18%
Tone and stance
Sentiment Positive leads
Author posture Supportive leads
Performance benchmark
- Median likes
- 27
- Median reposts
- 1
- Median replies
- 6
- Median views
- 2.3K
Posts with media make up 32% of this collection. Their median all-time score is 16.2, compared with 14.3 for text-only posts.
Format mix
- Opinion 42% · score 12.2
- Tutorial 30% · score 26.7
- Case Study 26% · score 15.7
- List 2% · score 4.48
Consensus and debate
Where creators agree, and where they do not
Shared view
Targeting is repeatedly prioritized over copy polish
Multiple posts argue that audience selection and intent matter more than copy polish. Examples include identical scripts producing different results across audiences, account-tiering guidance, and recommendations to test segments and offers before refining wording.
Shared view
Make the offer tangible and easy to accept
Posts repeatedly recommend concrete, low-friction offers: a recurring-task service, an upfront lead magnet, and narrowly defined positioning rather than generic growth claims or an immediate meeting request.
Shared view
Infrastructure is presented as foundational
Several contributors present deliverability as foundational to outreach, citing secondary domains, verified data, warming, inbox capacity, authentication, and primary-domain protection before send volume is increased.
Shared view
Sequences extend the outreach window
Outreach is commonly described as a sequence rather than a single email, with combinations of LinkedIn, calls, email follow-ups, final touches, and later reactivation. One post reports 30 interested creators after a three-step sequence.
Open debate
Engagement scraping divides opinion
LinkedIn engagement is contested as an outreach signal. Two posts report strong response or campaign results from past commenters and post engagers, while another characterizes emailing commenters as spammy and potentially harmful to trust.
Open debate
Campaign reports contrast with recipient fatigue
Operator and recipient perspectives diverge. Some posts report conversations, a sale, or fundraising progress from cold outreach, while recipient posts describe rejecting sequences and favor relationship-building over templated outreach.
Open debate
Automation’s upside meets volume limits
Scale is not uniformly endorsed. One post advocates researched, personalized follow-up, while platform and deliverability posts caution that large-scale automation can create noise and describe send limits, variation, and infrastructure controls.
What performs
Patterns behind standout posts
Specific offers and practical stacks lead listed outliers
The highest all-time-score outlier is the property-management offer post (4,191), followed by the outbound-stack post (1,712.33). The remaining listed outliers address lower-cost enrichment, LinkedIn-engagement signals, and funding-event targeting.
Intent Signals has the highest theme median score
Intent Signals has the highest theme median all-time score (158.469), ahead of Offer Design & Lead Magnets (36.543). Related examples mention public engagement, news, reviews, and funding events as outreach inputs.
Tutorials have the highest median score among major formats
Tutorials have a higher median all-time score (26.654) than case studies (15.654) and opinions (12.22). Tutorial examples include detailed lead-data, enrichment, and signal-collection workflows.
Statistical standouts
- View standout post 1 Score 4191.0 · 277.55× median
- View standout post 2 Score 1712.3 · 113.4× median
- View standout post 3 Score 399.7 · 26.47× median
- View standout post 4 Score 250.0 · 16.55× median
- View standout post 5 Score 248.0 · 16.43× median
Creator landscape
Who shapes this conversation
The five most represented creators account for 20% of the selected posts.
-
1. Adam Rahman
@AdamrahmanGTM
2 posts
-
2. Alex Berman® 👑 Galadon
@alxberman
2 posts
-
3. Christian
@cbwritescopy
2 posts
-
4. Cem Hasoglu
@cem_hasoglu
2 posts
-
5. Cody Schneider
@codyschneider
2 posts
-
6. Alex Vacca
@itsalexvacca
2 posts
Creators share signal-rich data workflows
These posts describe practical data workflows using waterfall enrichment, public signal feeds, and audiences built from LinkedIn engagement. They favor combining sources rather than relying on a single database.
Operators prescribe an execution hierarchy
Several operators recommend prioritizing lead segmentation and validation, deliverability infrastructure, offer testing, and fast reply management, while placing copy refinement later in the process.
Case-study posts include campaign measurements
These posts provide reported campaign measurements: high-volume sending and replies, engagement-based retargeting outcomes, and a list rebuild associated with a higher reply rate while the offer and emails remained nearly unchanged.
How this analysis was made
Themes, sentiment, stance, and post format are classified per tweet. All counts, shares, medians, creator concentration, freshness, and performance comparisons are then calculated directly from the published snapshot.
Xholic's all-time score compares engagement while accounting for reach, post age, and creator consistency. It is used for relative comparisons within this collection.
This report analyzes the exact 50-post snapshot shown below. AI identifies editorial categories and drafts explanations; all statistics are calculated from the snapshot, and every narrative claim is checked against cited posts before publication.
Best Cold Email tweets
Top Cold Email tweets from 35 creators
Ranked 01–50
- 01
@scaling_shields ·
met a woman in marbella making $68,000/month replying to google reviews not writing them not getting them replying to them "thank you for your kind words we appreciate your feedback" 340 times a month 340 property management clients paying her $200/month each to type slightly different versions of "thanks for the review" no ads, website, content or personal brand she sends one cold email: "you have 50 google reviews and havent replied to a single one. every unanswered review costs you roughly 9% of potential tenants. want me to handle all your review responses for $200/month?" thats the pitch thats the whole business one stat that scares property managers turned into $68K/month she hired 2 VAs in the philippines at $600/month each to do the actual replies total overhead: $1,200 net profit: $66,800/month from replying to google reviews heres why nobody competes with her: the task is so boring that nobody thinks its a business no one wakes up and says "i want to build a company that replies to google reviews" but every property manager knows they should reply and never does because its low priority and tedious $200/month is nothing to a company collecting $50-200K in rent but unanswered reviews silently eating their occupancy rate is a real problem she didnt sell a service but the removal of a task they were too busy to do themselves at a price so low that saying no felt dumb and the churn is almost zero because who cancels a $200/month service that runs itself the formula: - find a boring recurring task every business in one niche ignores - prove it costs them money to ignore it - charge so little the decision is automatic - deliver with cheap labour so margins stay above 90% - stack hundreds of clients because nobody cancels same formula that built the $2.4M/year dentist compliance business same formula running the $3.1M portable toilet empire the most profitable businesses are always the ones nobody wants to brag about stop building things that sound cool on twitter start finding the boring task nobody will do for the wealthy customer who will gladly pay to never think about it again
- 02
@aryanXmahajan ·
Apollo charges $100 for 4,000 LinkedIn enrichments Serper.(dev) charges $100 for 50,000-70,000 searches same job. 92-94% cheaper. 89% hit rate on executive profiles. everyone building outbound in 2026 is dramatically overpaying because they never questioned the defaults actual stack. pricing included. FINDING PEOPLE → Apollo — $79/mo. use it for the database and contact filters. do NOT use it for LinkedIn URL matching. that's where the credits disappear → Serper — use this for LinkedIn URL matching instead. $100 = 50-70K searches. Apollo as fallback for the 11% that don't match → theorg — completely free org charts with API. shows reporting lines, promotions, departures. LinkedIn shows none of this. almost nobody has it in their stack ENRICHING → Enrichly — $59/mo for 5,000 person enrichments. primary fallback when Apollo misses. → waterfall: Apollo → Enrichly → Anymail Finder → Findymail → manual. never one source. SIGNALS (mostly free) → Google News RSS — free. unlimited. real-time. go to Google News, search your query, add /rss to the URL. that's a live signal feed. replaced a $490/month monitoring tool → f5bot — free. email alerts when your keywords appear on Reddit. people write paragraphs about their problems on Reddit they'd never say to a salesperson → visualping — monitors any webpage for changes. hourly checks. set up 200 competitor pages and forget it RUNNING OUTREACH → HeyReach — $79/account/mo. cloud-based LinkedIn automation. dedicated IPs. 5-10% ban risk vs 23% for browser extensions. runs 24/7 without your laptop open → never send cold email from your main domain. one spam complaint tanks domain reputation entirely — website deliverability, brand, everything. deliveron: $49/mo, 100 Microsoft inboxes, warmup, rotation included full stack: under $500/month the gap isn't tools. it never was.
- 03
@fin465 ·
Apollo: $100 buys you 5,000 contact lookups Serper(.dev): $100 buys you 100,000 searches identical output but 92–94% cheaper. almost every "standard" outbound tool has a 10x cheaper twin. Here’s how to build an outbound stack for $102/month that others spend $5k/mo for: LEAD LIST BUILDING → Serper ($10): this is your scaled URL builder for your large initial list. $10 covers 10K queries. → theorg (free): org charts with an API on top. surfaces reporting structure, promotions, exits. none of which LinkedIn exposes. barely anyone runs this → Phantombuster (free, then $59/mo) scraping of people who reacted and commented to your Linkedin posts to build warm lead lists for targeting SIGNALS → Google News RSS (free, unlimited, live). run your search on Google News, append /rss to the URL, you've got a streaming signal feed. better than a well known $500/mo monitoring subscription → f5bot (free): Reddit keyword alerts via email. prospects vent their actual problems on Reddit in ways they'd never admit on a sales call → visualping ($14/mo): page-change monitoring, hourly cadence. load up 200 competitor URLs and let it run OUTREACH → Origami(.chat) ($29/mo): you can do cold email sequencing through it + automated Linkedin DMs that runs while your laptop is off. Unlimited sending + accounts included. whole stack: $102/month Took me 18 months to build out this stack, I wish someone had handed it to me before.
- 04
@codyschneider ·
cold email getting so rough the best signals are people engaging on linkedin posts we see highest response rate from this the content people engage with, they are hand raising for you they are your target customer find 20 influencers in your category use apify to scrape their posts use apify to scrape their engagers use getleads IO and then waterfall enrichment to find their emails cold email them with you no brainer offer
- 05
@omoalhajaabiola ·
Easy stuff 1. Go to google 2. Enter this “healthcare startup raised series A”. 3. Click on search tools and change “any time” to “past month” 4. Take note of the startups that were recently funded 5. Connect with their decision makers on LinkedIn 6. Have a warm into 7. Scrape their contact and cold email them The only thing that beats this strategy are referrals and recommendations. All the best
- 06
@romanbuildsaas ·
Is cold email still worth it in 2026? For https://t.co/D9GRoGg9PY, we sent 453,000 emails in 141 days. More than 6,200 people replied (auto-replies excluded). That’s 43 new conversations every day. Here’s exactly how we do it. 1) How we find leads : 1. High-intent leads detected by GojiberryAI 2. Databases like SaasyDB 3. Scraping targeted profiles Then we enrich the data using GojiberryAI or Airscale (and of course we debounce everything). 2) What we send For the past two years, I stopped trying to book demos directly. Instead, I ask permission to send a blueprint. Inside those blueprints, I include as much value as possible. People read them, find them useful, and then either buy or book a demo. Another interesting thing: a lot of people visit our website without replying to the email. So replies only show part of the impact. 3) Our infrastructure 40+ domains 120+ inboxes Around 50 emails per inbox per day Total cost: about $500 per month. That’s less than $0.40 per conversation. Cold email in 2026? 100% worth it.
- 07
@NickAbraham12 ·
talked to a huge SaaS operator printing leads with cold email told me his strategy is just using cold email as a marketing and distribution channel and not an acquisition one He: 1. Found third-party documentation comparing his product to competitors (fairly competitive space) 2. Sent copy to his list saying: [Name] - [third-party company] ran a comparison test of us vs. [competitors] - turns out we beat them on [thing]. Thought I'd send because you follow [relevant account on social]. Feel free to book a call if you're in the market" There's something to be said about this.
- 08
@cbwritescopy ·
Ive had tremendous success over cold email & ads simply by saying WHAT is being sold "We have 1.1 million eCommerce contacts in a database" "We can make 2,000 cold calls per day for your business" "We can send 1,000 cold emails per day for you" Tends to perform much better than pitching the benefit of these services "grow your pipeline" "Scale your business"
- 09
- 10
- 11
@danielhangan_ ·
needed 3 ugc creators for a campaign yesterday. told my AI agent the budget and a rough brief. it: > scraped tiktok for ugc creators in my niche > pulled 250 leads with emails in their bios > built a 3-step cold email sequence in instantly > launched the campaign 24 hours later: 30 interested creators. i have zero cold email experience. the playbook just changed.
- 12
@salesxsaas ·
List building & cold outreach has made a complete transformation in the last 3-6 months Old way: 1. Scrape OR Search + filter DB 2. Export CSV 3. Upload to enrichment tool 4. Configure waterfall + validations 5. Download 6. Import to CRM/Sending tool 7. Craft 1:1 copy New way: Now just tell Claude to build you targeted list, lead score, segment and create a POV/messaging framework with a simple prompt via MCP Server/APIs.
- 13
@cbwritescopy ·
The most cracked cold email strategy of all time is pitching a lead magnet upfront "I have 2 ops managers, a crane operator and a line manager looking for a new role - and I have their resumes on hand. Mind if I shoot them over?" "I created a 3-step email flow that'll boost your revenue by 10k - guaranteed or you don't pay. Interested in checking them out?"
- 14
@MichLieben ·
The biggest lie in cold outreach: more emails = more leads. We generated 25,000+ leads in 2026 at ColdIQ ($7M ARR). The difference was targeting and tiering, not blasting bigger lists. 1. Segment before you send anything. Companies engaging with your brand, lookalikes of your best clients, and companies showing buying intent in your category. These are the easy targeting wins most teams overlook when they start cold outreach. 2. Map your entire TAM through @clay, Wiza, and @prospeo_io. Then research every account and split them into three tiers. Your dream clients (Tier 1), strong fits (Tier 2), and everyone else you can genuinely help (Tier 3). 3. Each tier gets a completely different outreach motion. Tier 1 is manual AE outreach, one by one: phone (we use Nooks), LinkedIn, and email. Tier 2 is personalized multichannel through @clay + @lemlist. Tier 3 is your experimental playground through @InstantlyAI where you test copywriting frameworks at scale. 4. Write 25-50 messages by hand before automating a single one. The early replies teach you patterns that no template will give you. This step feels slow. It saves months later. 5. Lead with free value, not an ask. For Tier 2, I think about what's the first thing I'd do if I signed them as a client, then I do it already, for free. Example: building a niche lead list with companies and people data of their ideal clients. Reply speed determines your pipeline. Every hour between their positive response and your follow-up costs you meetings. Save the infographic. It shows the full flow from segments to closed won.
Watch video
- 15
@romanbuildsaas ·
Just launched a new cold email campaign targeting people who commented on my LinkedIn posts over the last 6 months. Some of them probably aren’t high intent anymore… But the results were still interesting 👀 In just 48 hours: → 8,900 emails sent → 101 replies → 60 people requested the lead magnet → 5 demos booked → 9 self-serve customers And that’s from an audience that was already “warming up” months ago. Most people massively underestimate the value of their past engagement. Your old LinkedIn comments are basically a hidden retargeting list. Definitely need to run more campaigns like this.
- 16
@MediaKing ·
When I asked you all for questions, one of the most common was: "How do you avoid Gmail's spam folder when you're sending so many emails every day?" Here's how I think about email deliverability - and what has worked well for us.
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- 17
@Bencera ·
"Polsia is a spam machine." Polsia lets anyone start and run a company with an AI team. That AI team knows the playbooks: growth, marketing, outreach, support. The same playbooks every YC company and every growth agency already uses. One personalized cold email by one company is smart outreach. A thousand personalized cold emails by a thousand companies is a problem. I didn't anticipate this. I should have. When you give millions of people access to elite execution at the same time, things that used to be best practices become noise. That's new. No one has had to deal with it before, and we're the first ones here. What we're doing now: → 2 outreach emails per company per day (already live) → 500 max outreach per day across the entire platform (already live) → Per-recipient limits rolling out today: no one should get bombarded If you're getting too many emails from Polsia companies, tell me. I'll fix it. I'm building in public. That means you see the wins and the mistakes. This is a mistake I'm fixing in real time.
- 18
@scaling_shields ·
i ran two identical cold email campaigns last month to prove a theory that pissed off EVERYONE in my team we used the same script word for word 4,200 leads in each campaign campaign A: 0.4% reply rate. 11 interested. 4 calls booked campaign B: 2.9% reply rate. 74 interested. 41 calls booked 10x the result the only difference was WHO received it campaign A went to a normal apollo list of agency owners campaign B went to agency owners who had ALREADY publicly told the internet they have the exact problem we solve and didnt even know they were doing it let me explain what "publicly told the internet" actually means because businesses are confessing their problems in public every single day and almost nobody is paying attention signal 1: companies posting jobs for SDRs and BDRs when a company posts a job listing for a sales rep theyre not just "hiring" theyre publicly admitting their pipeline is broken that theyve allocated $60-80K in budget to fix it and that theyre desperate enough to wait 3 months for a stranger to ramp up you can email the VP of sales today and say "saw youre hiring a BDR. what if i could get you 30 booked calls this month while you find the right person. you only pay for calls that show up" youre not pitching but simply arriving at the exact moment they admitted the problem exists signal 2: employee reviews on indeed and glassdoor when 3 employees at the same company write "no leads provided" and "impossible quotas" and "marketing generates nothing" thats an internal memo that got accidentally published you now know their lead gen is broken before THEY would ever admit it to a stranger on a cold email signal 3: funding rounds on crunchbase every company that just raised series A or B told their investors the money goes to growth they have a board meeting in 90 days where someone has to show pipeline numbers they HAVE to spend on client acquisition and they have a deadline to prove it worked signal 4: founders posting "anyone know a good [service]?" on linkedin someone literally typed their problem into a public post and 99% of cold emailers never see it because theyre too busy blasting apollo lists to people who dont know they need help yet the difference between campaign A and campaign B wasnt copy it was demand campaign A tried to CREATE demand in people who didnt know they had a problem campaign B CAPTURED demand from people who already admitted it publicly your reply rate is most likely a targeting problem stop trying to convince people they need you start finding the ones who already know they do
- 19
@ivanburazin ·
There's a zero chance that I'd buy something or take a meeting from a cold email sequence. The volume of inbound I get is nuts. But I also clear all the unreads religiously every Sunday. Most of them are shit. If your cold email has an unsubscribe link at the bottom, I immediately click it to get rid of any more. If it has one of those CTAs where they ask, "Just say yes, and I'll tell you more" I instantly type "no" and hit reply without reading a single word. If it starts with "Daytona raised $24M, which means..." I archive it immediately. But if an actual human writes it, makes sense in context, and is simple enough that I don't need AI to summarize it, I might actually reply. The bar has fallen so hard that I can't recall a single such interaction in the last 4-5 weeks.
- 20
@AdamrahmanGTM ·
The 80/20 of cold email that most teams get backwards: 80% of results come from: > Picking the right segment (industry + company size + buyer persona) > Hitting the inbox (infrastructure + verification + domain health) > Responding fast (sub-5-minute reply management) > Testing offers, not copy (the offer determines the reply, the copy just delivers it) 20% of results come from: > Subject line optimization > Send time testing > Copy wordsmithing > Personalization tokens > A/B testing email length Revenue teams that spend 80% of their time on the bottom list and 20% on the top list have the worst results. Flip the ratio. Spend 80% of your time on segment selection, infrastructure health, reply management, and offer testing. Spend 20% on copy refinement. The highest-leverage hour in outbound: one hour spent analyzing which segments respond best beats 10 hours of copy editing.
- 21
@itsalexvacca ·
Everyone's obsessing over cold email copy, subject lines, and list size. The actual cheat code? Put a lead magnet inside the email instead of asking for a meeting. Every cold email out there asks for time. But who wants to give time to a stranger? But give something useful first and they actually engage. Once they engage with your lead magnet, you're not cold anymore. They're in your orbit now. You can track the intent, guide the conversation, and book the call without ever having to chase.
- 22
@MartinGTobias ·
Saw a seed VC post their actual 2025 backing criteria publicly this week: 18 pre-seed checks, 14 pre-revenue, 10 first-time relationships, 10 rounds they led, median check $500-750K, median valuation $7.5-10M, all highly technical teams, all US-based or actively relocating. That's not a vibe. That's a targeting brief, sitting in public view. If you're blasting 200 investors with the same deck, you're ignoring data like this that would take 10 minutes to read and could double your reply odds. Read the fund's actual portfolio and stated criteria before you email them. Same point I made last week on cold email reply rates: targeted outreach beats volume outreach by 3-5x. Specificity is the whole game -- for the investor's criteria AND for your ask.
- 23
@omarships ·
Today on Ep.4 of "How to Build a Startup," Anthony Baltodano (450M cold emails/month, powering YC startups' email infra) broke down cold email A→Z. Some takeaways: → Buy alt domains, warm up your mailboxes before sending → Prioritize Google inboxes — better landing rates → Don't track opens/clicks. You'll burn your mailboxes. → Google & Outlook now read your copy. Inconsistent signatures, repeated templates, links, and hard CTAs get you flagged. → Spintax everything so every send is a variation → Personalize by pain point in batches, not one email at a time Intelligence is cheap. Deliverability is the moat.
Watch video
- 24
@omarships ·
Most cold email advice is written by people who've never hit an inbox Anthony Baltodano bootstrapped Mission Inbox to $25M and facilitates 450M emails a month that actually land wasn't going to release this one episode 4 is live. the deliverability playbook, in full. 👇
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- 25
@JanuBuilds ·
YAY! We just made our first sale from cold mailing. 🥳 After over a year of failing at it. I tried it for @FeatherFlowTech, my product studio. Hired different cold mailing specialists. Tried different angles, different tools. Nothing worked. So I wrote it off. Then I realised: maybe the problem wasn't the channel. Maybe it was the offer I was pitching. FeatherFlow is high ticket. It requires a lot of trust before someone buys. Cold outreach gives you very little time to build that. So I tried cold mailing with Effortless Backlinks instead. Lower price point. Easier decision. Less trust needed upfront. A no-brainer offer. Month one, we failed again. Almost pulled the plug. Month two, we rewrote the message and improved our deliverability. 5 to 6 leads in a single day. One of them just converted into a sale. 🥰 Before you write off cold outreach, ask yourself: is your offer actually right for it?
- 26
@Oliver_Clingain ·
"Cold email is dead." I use it every day. "LinkedIn outreach is dead." I close deals from it every month. "Outbound is dead." I built my whole company on it. You know what's actually dead? Sending the same copy-paste message to 1,000 people and expecting results. That was never outbound. That was spam. 1. I follow up 5+ times 2. I research every prospect 3. I personalize every message That's why it works for me and doesn't work for you.
- 27
@zaimiri ·
Most AI output is mediocre because the prompt is vague. I've run hundreds of prompts across Claude, GPT, and Gemini. Same fix works every time. Here's the exact structure I use: → Role: Tell it who it is "You are a senior copywriter who writes for B2B SaaS. Direct tone, no fluff." → Context: Give it the situation "I'm writing a cold email to a CFO at a 200-person company. They've never heard of us." → Task: One clear deliverable "Write a 5-line cold email. Subject line included." → Constraints: What NOT to do "No buzzwords. No em dashes. Don't open with a question. Under 80 words." → Output format: Tell it exactly how to structure the response “Give me 3 variations. Label them Option A, B, C." ----- Why this works: the model fills gaps with its worst guesses when you leave them open. Every constraint you add removes a bad default. Bookmark this to save the prompts.
- 28
- 29
@MartinGTobias ·
The most repeated fundraising advice on this app is "just send more cold emails to investors." I think it's actively bad advice for 90% of pre-seed founders. Thread: --- Cold outreach to VCs converts at roughly 5-15% reply rate when it's targeted. Untargeted blasts (wrong stage, wrong check size, wrong thesis) run closer to 95% non-reply. That's not a pitch problem. That's a targeting problem. --- I watch founders send 150 emails to "anyone who invests in software" and get 2 replies. Then I watch a founder send 25 emails to a list filtered on stage + check size + actual thesis match, and get 6 real conversations. --- Same effort. 6x the outcome. The difference was 20 minutes of research before the first email, not a better subject line. --- The volume-first advice persists because it's easy to give and easy to follow. "Send more" requires no judgment. "Send fewer, better-targeted" requires you to actually study who you're emailing. --- If you're fundraising right now: before you send email #50, go back and cut your list to the 20 investors who've actually written checks in your stage and sector in the last 12 months. You'll get more replies from fewer sends.
- 30
@danmall ·
You don’t have a closing problem. You have a math problem. The average response rate on cold outreach is about 5%. That means for every 20 messages you send, one person replies. Not that one person buys. One person replies. Most agency owners send 5 messages, get zero responses, and conclude that outreach doesn’t work. It works. You just quit before the math could play out. Here’s what the math looks like in practice: If 1 in 20 messages gets a reply, and 1 in 3 replies becomes a project, you need about 60 messages to land one client. Want 10 clients this year? That’s 600 outreach messages you need to send. About 2 per day. The reason most agency owners don’t do this isn’t because they can’t do the volume. It’s because they take each silence personally instead of treating it as math. You might not need better messages. You might not need a better offer. You probably just need to send enough messages for your conversion rate to actually show up. Track your numbers for 100 messages before you change anything. You can’t optimize what you haven’t measured, and you can’t measure what you quit after 5 attempts.
- 31
@ivanburazin ·
Conventional startup wisdom says you need warm introductions to investors, and cold emails rarely work. Meanwhile, a little over 400 cold emails formed the backbone of our entire pre-seed raise. We had no fancy network/YC backing/intro from a famous founder when we started. Just a team of Croatians nobody knew, betting big on granular research + high degree of personalization + traction. Even @HarryStebbings from 20VC argues that a well researched, concise cold email can be more effective than a warm intro. Warm intros help, especially at later stages (we closed both our seed & series A in ~3 weeks). But if you've done your homework, have real traction, and can articulate why they specifically should care, cold outreach works wonders in the very beginning.
- 32
@AdamrahmanGTM ·
The 4 things that actually matter in cold email: 1/ Strong infrastructure Deliverability is table stakes. 98%+ or don't bother. 2/ Validated lead source Fresh data, right ICP, verified emails. 3/ Relevant offer Something they actually want. Free audit > "let's chat." 4/ Reliable inbox management Sub-5-minute replies. Don't let leads go cold. Everything else is secondary. Nail these four.
- 33
@zaimiri ·
Bayram Annakov built a daily AI sales agent in Claude Code. > 38x cold outreach response rate. Everyone thinks AI sales agents win by writing more emails faster. The hidden mechanic is different. Most cold outreach averages 3% response. Scaling mediocrity doesn't help (who would've thought). Bayram's real move: find the micro-segments that convert at 10%+ then only scale those. The workflow: - Define your process table: lead_id | source | segment | message | sent_at | response_at | outcome - Ask Claude to calculate input, output, and time by segment - Split the average: segments above 3% vs below - Create three commands: /double-down /kill-segment /rewrite-underperformers - Daily loop: import new leads, tag segment, only send to approved segments - Weekly: Claude generates an audit of what improved and what died Not more emails. Better segmentation.
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@ahmadafterhours ·
Your cold outreach is quietly killing your main domain. Most founders send outreach from their primary inbox. One spam flag and your CEO's emails start landing in junk too. Here's how to protect yourself: Burner domains — Buy a lookalike (https://t.co/as97duKk4v, https://t.co/C4OXtdM3ks) and send all outreach from there. Your core domain stays clean. Watch your bounce rate — Anything over 2% is a red flag for Google & Outlook. "Verified" lists aren't clean enough. Always re-verify before sending. Warm before you blast — A cold domain on day 1 goes straight to spam. 2–4 weeks of warming builds the sender rep you need. Sequences > one-shots — One email is a coin flip. Three touches is a strategy. Automate the follow-ups. Your pipeline lives or dies on deliverability. Most founders only learn this after the damage is done.
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@StephNass ·
"Warm intros lead to 13x higher chance of funding than cold emails" Not exactly. The 13x number comes from a UK study from 2017. But there’s one important nuance. Anyone can email a VC, but not everyone can get an intro. So intros aren’t just a sourcing function, they’re also a screening function. Because of that, a lot of "bad" founders end up in the cold email pool, which naturally lowers the average success rate of cold emails as a channel. But if you look at it for a given founder, the difference is likely much smaller than 13x! Put another way: only the "best" founders get intros, so intros have a higher success rate not just because they’re a better channel, but because the average founder quality is higher. Of course, intros do work better than cold emails. Just not by 13x. That number is mostly a statistical artifact. NB: "Good" founders have traction + track record. Bad founders have none. No judgement here. We all start as "bad" founders, and some become "good". :)
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@IamMLeclercq ·
Turned an old PC into a 100% automated cold email machine for Pictiny🚀 Running my own local dashboard. Here is what the engine does on autopilot every single day : - 02:00 AM: Scrapes YouTube & generates 15 new targeted leads using Gemini - 09:00 AM: Sends initial cold emails to the "To Do" list - 09:30 AM: Triggers the Day+3 and Day+7 automatic follow-ups - 24/7: A watcher checks Gmail every 5 mins and updates lead statuses to "Replied" instantly It costs me zero monthly fees and runs while I slee🚀
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@codeMdSanto ·
I gave Perplexity Computer my ICP and a list of 50 leads. It researched every one and wrote PERSONALIZED cold emails for all 50. Took 12 minutes. Here’s how to turn Computer into your SDR: “Here’s my ICP: [paste]. Research these 50 companies and tell me which ones match.” “For each matching company, find the decision-maker’s name, title, and LinkedIn.” “Write a personalized 3-line cold email for each lead referencing something specific about their company.” “Score these leads 1–10 based on company size, funding stage, and tech stack fit.” “Draft a follow-up sequence — 3 emails, spaced 3 days apart — for leads that don’t reply.” “Pull recent news about each company so I can reference it in my outreach.” My outbound reply rate went from 3% to 14%.
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@cem_hasoglu ·
something i wish someone told me 3 years ago about cold email the script matters maybe 20% the infrastructure matters maybe 30% the lead list matters at least 50% you can write the perfect email and send it from perfectly warmed domains with perfect authentication and if youre sending it to the wrong people nothing happens i had a client come to us after spending 4 months sending cold emails to "marketing managers at saas companies" thats not a lead list. thats a category. there are 80,000 marketing managers at saas companies. most of them cant even buy what youre selling. we rebuilt his list from scratch instead of "marketing managers at saas companies" we targeted "heads of demand gen at series B saas companies with 50 to 200 employees who are currently running google ads and dont have a podcast" why that specific? because his service was podcast production for saas companies and the ones already spending on demand gen have budget and the ones without a podcast are the ones who need him went from a 0.3% reply rate to a 4.1% reply rate same offer. same price. same emails almost word for word. different list. if your campaign isnt working stop rewriting the email for the 6th time and go look at who youre sending to. pull up 10 random leads from your list and ask yourself "if this person replied right now would they actually be a good client" if the answer is "maybe" or "i dont know" your list is the problem
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@therealobsty ·
We just set up cold email outreach for Arvow. Sounds simple but it's not, one wrong move and your domains get burned. So we: - bought secondary domains with URL forwarding - set up dedicated google workspace inboxes - configured all the DNS + DMARC, SPF, DKIM records - started a 14 day warmup process before sending a single email. While inboxes warm up we're sourcing leads - decision makers only within our ICP (seo agencies in US, CA, UK) The biggest challenge so far is the copy. Businesses get hundreds of cold emails a day so if yours reads like one it's getting deleted. Our approach: reach out with a personalized bait, get their permission, then send a real Loom video with actual value for their business. CTA is embedded inside the video to book a demo call. 25 emails per day per inbox. 6 inboxes. Always try new stuff
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@alxberman ·
80% of cold email positive responses turn into meetings. Most people never hit that number because they're fixing the wrong thing. They rewrite the copy. They change the subject line. They test a new CTA. The problem is usually the list. Bad data = bad results. Doesn't matter how good the email is. Fix the data first. Then tweak the copy.
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@cem_hasoglu ·
90% of people saying “cold email is dead” are basically doing this: They’re sending messages and assuming “delivered” means “seen.” It doesn’t. Delivered means a server accepted it. That’s it. That’s a receipt, not a result. And then they do the classic spiral: “No replies... copy must suck.” “Maybe the offer is bad.” “Maybe the niche is wrong.” “Maybe I need a course.” “Maybe I need a new tool.” No bro. Your message is probably sitting in: spam promotions a quarantine folder or filtered so hard it’s basically invisible What actually moves the needle in 2026 isn’t “crazy copy.” It’s boring fundamentals: proper SPF/DKIM/DMARC clean list (relevance matters more than volume) consistent sending patterns (no random spikes) simple plain text easy opt-out not tracking like a weirdo If you’re not getting replies, don’t rewrite your script 20 times. Check if humans can even see it first.
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@parkerworth ·
How I rebuilt my career as a copywriter: 1. I started writing emails for rev share just to build a portfolio. 2. I treated every client project like a case study, documenting what converted and what didn't. 3. I stopped pitching services and started leading with results. 4. I built a sales funnel for myself before building one for anyone else. 5. I realized cold outreach wasn't the problem. My offer was. 6. I stopped waiting for referrals and started showing up in inboxes daily. 7. I began treating every email I wrote as a test, not a finished product. 8. I started saying no to low-ticket clients who drained my energy and yes to ones who valued the work. 9. I built systems around my best-performing sequences so they ran without me. 10. I stopped measuring success by effort and started measuring it by revenue generated for clients. 11. I realized that email marketing and wealth building follow the same logic: find what works, double it, and stay consistent long enough for the compounding to show.
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@itsalexvacca ·
5 signs your cold email problem isn't the copy: 1. Reply rate under 2% across every campaign 2. One ICP list for your entire market 3. Same email going to 5-person startups and 500-person enterprises 4. No trigger events in your targeting 5. You've rewritten the subject line but never tested a new segment Fix the list before you fix the email.
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@alxberman ·
Clients always ask me why their cold email isn't landing meetings. I ask them one question: "What does your offer actually say?" Nine times out of ten it's something like "we help businesses grow revenue." That sentence closes nothing. "We do cold email setup for B2B agencies doing under $50k/month who just lost a major client" closes something. Specificity is not a style choice. It's the whole game.
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@adriaandotcom ·
I just started bouncing every cold email from Gmail, Outlook, and similar addresses. To prevent me from going through email as a painful task, I just moved the effort to the sender. Just send from your own domain, and I will receive your email. Otherwise, you can instructions to do so.
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@mernit ·
Many people aren’t stuck because they aren’t doing enough cold outreach, they’re stuck because they aren’t building real relationships with people. I get hundreds of emails a week that all sound the same: “Hey — quick one!” “Running a serverless GPU cloud with sub-second cold starts is seriously impressive!” “I’d love to connect and explore ideas with you!” If you’re doing this, just stop. Instead, try genuinely building relationships with people. You will get so much more in return than treating people like strangers at a trade show.
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@asaio87 ·
when you begin marketing everything seems so hard but then it becomes a bit easier as you do it scrape for email addresses: find the right urls where to start that build the program to scrape them use them into a cold dm system but need warmed up email addresses to send then a set of new problems: what to write to have the email opened do these land up in spam/inbox ? this is hard, but as you do it more and more, its like a piece of cake suddenly you have new perspectives marketing is so easy, but you have to be in constant effort, always doing something and these days is figuring out what parts to automate if you feel its hard, its because it is got to build a group for that while we are still figuring out cold email, scraping, automation and SEO 👇👇👇
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@RetentionAdam ·
FOUNDERS/SALESPEOPLE: THIS IS NOT HOW TO GROW YOUR BUSINESS Here are the 7 reasons why this cold email sucks: 1. Nobody wants you to SPAM them after they comment on Linkedin posts 2. Nobody believes your claims - you have not earned their trust yet 3. This email has further diminished their trust and annoyed them because… 4. You SPAMMED them after they commented on a Linkedin post!!! 5. Your value prop is nowhere close to MoltSets… 6. You are $99/mo for 3,000 credits, we are $27/mo unlimited, which means... 7. You have to make claims about your database being more accurate than mine… WHICH ISN’T EVEN OUT YET. =========== Dear Reachfast, Several vendors did this to me when I launched RB2B. None of them are still in the pure-play web ID market. Why? 1. This is a shitty tactic that actually ERODES trust in your brand, and 2. Poaching my engagement probably only has 1% of the impact In fact, I think it actually hurts you. I wish you a long and prosperous journey. But please… figure out a better way to get customers than this. Love, Adam
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