We send over 1 million cold emails every month - and these are the 47 outreach copywriting rules that make them convert.

We’re able to serve 283 active clients with an extremely lean team, 100% due to our LMS. What I'm about to share about creating a great one has taken me 5+ years to learn. When an employee joins your company, what do they need to know to be successful? This flips your methodology from teaching what you want to cover to teaching what they actually need. After building training systems for hundreds of employees across different roles, here's the framework that works: The 4-Module Structure: 1. Universal Knowledge - Everyone on your team should understand your core service or product. If you're a cold email agency, create "How to Create a Cold Email Campaign." Sales reps, CSMs, developers - everyone needs shared language and understanding. 2. Company Foundation - Cover your history, competitive landscape, different products, and customer journey from start to finish. This gives employees context for why the company exists and how it operates. 3. Industry Fundamentals - Not everyone comes in knowing your space. Create basic training for B2B sales, key acronyms, proposal processes. Especially important for developers from other countries or new hires switching industries. 4. Role-Specific Training - Cover all operational tasks for each specific position. Day-to-day responsibilities, processes, and how to execute their job successfully. Customize this entirely per role. The point is that you structure your LMS around what people need to know, not what you want to teach them. Think from the employee's perspective - what knowledge gaps would prevent them from succeeding in their role? Save this framework and start building your LMS the right way. The infographic below breaks down each module so you can implement this immediately. | 14 comments on LinkedIn

Are you looking at the right data? Because wrong numbers lead to the wrong decisions Most teams track opens, volume, and surface-level activity None of which actually tell you if outbound is working And when you track the wrong numbers, you misdiagnose everything - Weak messaging looks fine -Bad lists slip through -Follow-up gaps stay hidden -And your pipeline stays unpredictable Track the metrics that drive revenue: -Reply Rate →message market fit -Positive Reply Rate → real intent -Meeting Conversion → follow-up strength -Lead-to-Opportunity → outbound quality -List Accuracy → garbage in is garbage out -Time-to-Meeting → engine speed -Follow-up Completion → consistency Track them and outbound becomes predictable Save this so you never track the wrong metrics again If your outbound isn’t working DM me “SYSTEM” Follow Nick Palasz for more | 66 comments on LinkedIn

AI is about to break outbound in 2026 unless you use it the right way Most teams use AI to write emails but the winning teams use it to read the moment Here’s the difference 👇 AI should: – translate signals into buying intent – cluster prospects by real-time movement – route replies based on intent – personalize to what’s happening now – keep sequences from going stale AI should NOT: – choose your ICP – set your strategy – replace human judgment – write unchecked copy – pretend it understands relationships Here’s the 2026 rule: AI is the engine. Humans are the driver If you want my full AI Outbound Playbook 2026 Comment “AI” and I’ll send the resource in pdf version | 90 comments on LinkedIn

If you’ve ever questioned your career after a cold email this carousel is for you Because let’s be honest outbound has a way of humbling even the most confident rep 😅 One minute you’re convinced today’s the day the next you’re staring at a lead list that looks like it survived a hurricane, refreshing your inbox like it owes you money, and sending follow-ups you’ll definitely think about at 2AM. These are the 7 stages of outbound we ALL go through (even if we pretend we don’t) 👇 If it stings a little, that’s how you know it’s real Follow Nick Palasz for more | 78 comments on LinkedIn

The 5 solutions I wish I’d had when I started my sales career 15+ years ago (that help me consistently book 70+ meetings/month) 1 — FullEnrich Your outbound dies the moment your data is wrong. FullEnrich fixes that before your reps even touch a lead. → Cleans & verifies every contact → Confirms emails & phone numbers → Removes dead records instantly 2 — Perplexity Real-time intelligence while you browse a prospect’s world. → Scans sites, posts, PR, product pages → Surfaces buying triggers + priorities → Generates POVs instantly 3 — RetroFix (YC S24) Call prep that feels like cheating. → Auto-scans your calendar → Builds insight briefs for each meeting → Delivers pains, angles, talk tracks 4 — Alta | AI Revenue Workforce Outbound that reacts the moment intent spikes. → Outbound agent triggers personalized messages → Inbound agent qualifies warm leads instantly → Both adjust messaging based on behavior 5 — Instantly.ai High-personalization at scale without burning domains. → Behavior-based sequences → Smart send logic → Maintains deliverability If you want more AI-native outbound systems follow Alan Ruchtein, the playbooks only get sharper from here. | 63 comments on LinkedIn

How to Write the Perfect Breakup Email for Cold Outreach

Growth Engine X is an outbound agency that sends 8,000,000 emails per month on behalf of their clients. We specialize in data segmentation, AI messaging, and creative campaigns.

This is the exact cold email system that generated $1.45 million in revenue and $7 million in pipeline for one of our many clients over 22 months. I'm going to breakdown in depth and reveal the complete strategy, infrastructure, and metrics behind consistent monthly results using only cold email outreach.​​

I'm revealing the secret to high performing cold email campaigns with subject lines that actually get your emails opened! In this video at StackOptimise shares two proven strategies for crafting the perfect cold email subject line drawing from real data, high-volume campaigns, and advanced personalization using Clay and Smartlead.

I've sent ~15 million cold emails in 2025 so far. Yeah, you read that right. FIFTEEN MILLION. And here's everything you need to know about what ACTUALLY works in 2025: | 22 comments on LinkedIn

If you haven't already noticed, there are two major things happening in SaaS (and any software) really... 1️⃣ There is a huge shift in how SaaS platforms of all types are figuring out how to partner and collaborate more. Even competitors like Instantly.ai, Lemlist, and Smartlead are integrated with each other. The next MAJOR movement that has recently creating even more buzz is MCP (Model Context Protocol) -- aka "Connectors" are now more enriched than ever. MCP now has beautiful front-end and interactive user interface WITHIN the chat apps like ChatGPT. ChatGPT just released their Apps SDK which means you can connect with other "micro-apps" within the chat window. This is so much more than standard text responses because it literally means you can do effectively anything via a chat UI and interact with the application. THIS right here, my friends....sets the stage by far on how SaaS applications are even built. For any SaaS Founders/CEOs, here are some things I would ask and challenge you on three questions: 1️⃣ - When you or your sales team acquire customers, do you require people to 'login' to your platform, you're essentially bringing another Bookmark or "Home" to the user. Ask yourself, "does my customer REALLY need to interact with a manual frontend"? 2️⃣ - Do you have an open API already? If so...do you have an MCP already in play? Here's why → MCP is more/less built on top of API. OpenAI's App SDK is also built on MCP where the endpoints and tools are exposed. There are exceptions to this, but this is where it's going. 3️⃣ - For any ICP or customer (or all of us really), it's all coming back to simple chat apps using natural language to get the job done. If you're ever in a moment where productivity and time management is top of mind... Ask yourself...for every single platform, every single "click", every single step you do in any workflow, is there a better way on what is possible now-a-days? Only you can answer that (and it's right before our eyes). 🍻

I tested Clay’s new Sculptor feature (their AI table builder) that claims to build Clay tables end-to-end from natural language prompts. Using a very detailed, production-level prompt, I asked Sculptor to create a full table with: - Company import (name, domain, record ID) - LinkedIn company matching + employee counts - Revenue range (waterfall enrichment) - Marketing headcount - Company HQ address in structured JSON format - AI-generated company summary (Claygent) - GPT-based industry classification from the summary It took me over 11 minutes and I experienced several bugs along the way. Here are my findings: 1️⃣ Sculptor missed several important enrichments from my prompt. Despite sharing a robust prompt (see in the video below), both the claygent summary and gpt industry enrichment were left out. I had to manually prompt Sculptor again for the additional properties. Unfortunately, the dream to "just tell Clay what I want and voila, it's magically built" isn't yet a reality. If this became a reality, building with Clay would be STUPID easy. 2️⃣ No conditional formulas were built, nor were any default settings changed These are two "must haves" when building Clay tables. Overall, I didn't find the Sculptor experience to be amazing or a game changer. 3️⃣ Sculptor still takes a while I'm assuming Sculptor uses a complex reasoning model, hence the wait times... but I had to wait a fair amount of time for my prompts to process. I kept thinking it'd be faster if I just built the columns myself. However, Sculptor is quite helpful for these two specific use cases: 🎛️ Complex formula columns Sculptor is MUCH easier to use for complex formula building than the legacy AI formula builder. I use it all the time for this when the AI formula builder isn't working. 📈 Understand & act on your data, fast This language is pulled directly from clay(dot)com/sculptor and I think it's the "truest" value proposition on the landing page. Asking for specific metrics about the table, such % row completion, and other information about the dataset is quite helpful. At this point, I use Sculptor as an analytics tool, not a table builder... Overall, is Sculptor going to save you tons of time on your Clay tables? TBD. I made a follow-up video where I built the exact same table manually to see if I could beat my time with Sculptor. Stay tuned!

If someone tells you they can get you consistent leadflow from outbound in 30 days or less, don’t listen. We send over 2 million cold emails per month for almost 300 clients… trust me, it takes 60-90 days to properly get consistent lead flow coming from outbound if you’re starting from zero. BUT There are some things you can do to speed up the process that we are implementing across the client base. Namely, there are 7 types of campaigns you can keep always on and running in the background, additional to your actual campaign copy. Though these won't put a hundred calls per month on your calendar, they are certainly worth running and do not take much input or upkeep at all. I break down each of them in detail in the carousel below, so be sure to save it: | 16 comments on LinkedIn

Here's the prompt to get you started building your own google maps scraper with Claude code or Cursor. One of my favorite things about LLMs and coding is that my team can build things that impact our business and then everyone can use. Bharatt Arorah built this google maps scraper for us and it's been so easy to use. Then when someone else on the team wants to add to it, it'd be really easy for them. This scraper is built on a RapidAPI endpoint that gives us 3,000,000 requests per month for $100 a month. Here's the prompt I'd give for Cursor or Claude Code to figure this out for you. First connect to the Rapid API MCP and then run this because it'll ask you to restart. (I don't use the MCP to actually run the code. I just use it to connect to the documentation to help set everything up). If you need the list of zip codes don't ask me or your mother for it. Ask Chat GPT literally asking "Do you know of any GitHub repositories that have all of the zip codes in the United States, or any other public ways that you can download that information easily?" and it'll come up, I promise. Long Text not optimized for a linkedin post AT ALL. Hey cursor, can you explore this Google Maps endpoint and build a plan for me that would be able to create an input where I can say a Google category, and then you'd be able to scrape it? Here is a file of all the zip codes around the United States so that you have something to parse by. Search every one of these zip codes with my keyword to then find the companies that are in those areas. Build something into it that includes logic that, if a company is in a different business category that is excluded from my results, I want to be able to filter for the category. Let me know if we could exclude the cities and also run multiple category searches in one run. Set up the database schema to pull the zip codes from SupaBase. Literally go one by one doing a search across each of the zip codes. I also might wanna specify that I want to include certain cities, exclude certain cities, or include and exclude states in the future as well. Let's also add the filters for that to be possible as well. Hope that helps and provides a good lead gen project for people trying to get into coding with Cursor or Claude code. Send those companies over to a Clay webhook to have a contact finding waterfall and you're all set! | 15 comments on LinkedIn

Everything is getting more expensive going into 2026. Smartlead is doing the opposite. They’re updating pricing + removing contact caps. Meaning: unlimited contact storage. If you’ve ever scaled cold email, you know why this matters. Most tools charge you by contacts. So once you hit the cap, you’re forced to do dumb stuff: - delete prospects to make room - lose history + context - recycle leads just to keep sending As an agency, we ran into this constantly. We run pilots out of our own system. Then as clients scale, we embed everything into their account for cleaner ownership + integration. Contact caps used to mean we were deleting work we already did… just to reallocate send capacity somewhere else. That’s a tax on growth. Smartlead removing caps means you keep your outbound memory intact. Every prospect. Every campaign. Forever. | 30 comments on LinkedIn

5 pre launch checks for your next cold email campaign If you are sending emails without any safety measures… this is for you I’ve experienced lots of issues while running email campaigns including - Domains getting flagged - Replies are stuck - Campaigns burning out in 2 weeks Everything would be decent, but the setup? Completely overlooked. So I worked on some safety measures Here they are… 1. Infrastructure Check Make sure you're not using your primary domain, Gmail workspaces, or random SMTP boxes. One mistake and your main brand email is done. You need dedicated mailboxes built for outbound. Maildoso helped me with it 2. Domain + DNS Check Verify DNS propagation, correct records, no blacklists, and zero abuse history before sending Because anti spam systems are watching from day one 3. Volume & Ramp Check Start at 10 emails per mailbox on day 1, then slowly increase them Sending a massive volume can trigger spam filters 4. Targeting & Relevance Check Confirm you're emailing the right ICP with messaging that actually fits their world. Deliverability means nothing if you're hitting the wrong person. 5. Sequence & CTA Check Keep your CTA simple, don't pitch in email #1, and format for mobile readability. People like to skim emails. Cold email isn't complicated but it does require respect for the basics Let Maildoso handle the infrastructure and make sure your campaign setup doesn't damage what the tech is built to protect Run these checks, then hit send with confidence | 42 comments on LinkedIn

I've coached 20 GTM Engineers in the past 12 months. The role is largely a technical one. So here's a breakdown of the key tools and technical skills you need to master to become a top 1% GTME (and futureproof your skillset and earn a shit ton of money!!) Which of course you can learn in practice here: https://lnkd.in/eN7qinfB

Most GTM teams are bloated with tools they don’t actually need. Here’s how I’d rank the stack going into 2025: Must-Have: Tools that give you leverage, scale, and speed. You’ll feel the pain the second you stop using them. → Smartlead - best-in-class email deliverability at scale → GetSales.io - Handle all your LinkedIn outreach in one place → HubSpot - clean CRM that just works → Clay - unmatched data enrichment + personalization workflows → AI Ark – the only prospecting database you need Nice-to-Have: Helpful, not essential. They can boost your ops, but don’t build your whole system around them. → Trigify.io - social signals for outbound timing → CommonRoom - community intel + complete signals platform → Ocean.io - decent for ICP research → UserGems 💎 - warm outbound via job changes → Leadfeeder - uncover your website visitors (less useful than it sounds) Overrated: Either overpriced, overhyped, or simply outperformed. They had their moment but the game has changed. → Apollo - data quality still patchy at scale → 6sense - great in theory, clunky in execution → Cognism - expensive for what you get → ZoomInfo - outdated workflows, inflated cost → Outreach - will burn your domain The best GTM stacks are lean, fast, and ROI-driven. You don’t need more tools. You need the right ones. What would you add or remove from this list? StackOptimise ⚙️ | 18 comments on LinkedIn

I launched 12 campaigns before realizing I was doing it backwards The thing is, I kept starting with tactics when I should've started with structure So here's what works when you're building a multi channel GTM campaign… 1. Audience & Triggers Figure out who you're talking to and when they're paying attention. 2. Messaging Angles Write the story that stops them mid scroll. They need to relate with your message 3. Channel Mix Meet buyers where they usually hang out. LinkedIn + email + ads only work if your audience is there 4. Execution Rhythm Map the timing so it feels natural, not like you're screaming into every channel at once 👀 5. Impact Review Look at what worked and what flopped, coz that’s the point where you learn and get better Pretty basic but make big changes in your campaign results I made this cheatsheet so you don't have to learn it the hard way like I did 👇 Btw, do you plan campaigns step-by-step or just dive in?