An underrated Clay benefit is “how it teaches you to think” A wide gap exists in almost every GTM org I’ve met with, between conceptual ideas of where they want to be Vs what their current day to day workflows and tasks look like Tools do not fix this alone, you need to learn to think differently Given the most powerful algorithm for calculating micronutrient deficiencies, most people cannot solve for “getting more l-theanine” on their own You could say that to them - and they’d move on - no benefit derived - even if it is true Had a convo today and was challenged by a customer: “what if their data isn’t better? What if their signals aren’t better than other signals?” It’s a fair impulse to ask this sort of thing, but highlights the gap in worldview Many companies today are nerfing themselves They are losing ground, because of ground gained in years prior What winning looks like today isn’t the same as 2025 and isn’t the same at all vs 2020 Back to Clay (not a sponsored post) Clay has changed the lives of more “used to be good at sales development and want to go to the next level” people than any other tool on the market The big crms aren’t doing this - the market was too mature already - revops technical solutions come from known Revops ecosystems Mature frameworks, copy pastable workflows, etc It’s comfy to buy a known future… contained boundaries Clay is wall to wall blackboard, a fresh box of chalk, and an eraser You walk up, you start from the first line, and over time you can do whatever you can imagine The limiting factor for sales dev people is often technical acumen - using the tool will guide you, with iteration, like those early cold calls you stumbled through Don’t give up The limiting factor for technical people is often creativity and tactical familiarity (aka all the stuff 💜 🔮 Will Allred posts, among many others) This batch needs to just send it - let themselves fall on their face - and iterate forward as well; similar to making those first cold calls, stumbling through the ups and downs, and one day finding yourself quite alright at this weird little skillset If your company doesn’t want to fund those early stumbles - that’s where this big bright ecosystem of service business exists - many inside GTMCafe.com where we convene weekly for a mastermind of GTM excellence (free to all, no better space) The future will be orchestrated by talented, in the know people, with more asymetrical impact than ever before Weapon of choice? Clay (among others - but this is sincerely where you should start) | 19 comments on LinkedIn

New Tech stack for GTM Leaders to look at. Here's some of what we use or recommend at Spring Drive: (In no particular order) 1. Find leads - Ocean.io (lookalikes) - DiscoLike (lookalikes) - Crunchbase (great for saas, investors, and sem traffic proxy) - D7 Lead Finder (local lead king) - The big 'A' (static data still great here) - Apify (amazing marketplace for custom leads) - Linkedin Sales Navigator Premium - (the original pool, also great for 'posted content' filter for linkedin outreach) 2. Find Emails - Prospeo.io - LeadMagic - Findymail - BetterContact 3. Sending - Smartlead - Instantly.ai - EmailBison - HeyReach.io 4. Website tracking - RB2B - Vector 👻 5. Meeting Co-Pilot - tl;dv - AI Meeting Assistant 6. Video - Sendspark 7. No-Code Dev/IDE - Lovable - Cursor - Windsurf These are just a few, the list is getting long --- Anyone got q's about tech stack for their team? Comment below or DM me | 24 comments on LinkedIn

Here are a few things agencies are doing in 2026 to get ahead: 1) Using Supabase: caching emails, verifications, results. Saving significant time and money by not paying for every API call. 2) Vibe coding in LOVEABLE. A few weeks ago, a client was left high and dry from a previous CRM vendor. We rebuilt their CRM in a day. To be fair it wasn't that complex but we integrated it into Instantly.ai to capture their replies in real time. 3) Digging deep on AI...using tools like Manus AI to understand layers of complexity with browser based and deep layer computer agents. 4) Understanding tools like Firecrawl and Cursor and how they can dramatically change your approach to finding data and lead generation. 2026 will be the year the AI alters work for the better, and if done right clients and results will benefit.

22 tips to stay organized in Clay (so you don't burn credits like an idiot) ​ 1. Label inputs, steps, and outputs clearly. Input = what you need to start the Clay table (full name, LinkedIn URL, etc.). Steps = enrichments (Step 1, Step 2 etc). Outputs = final action (email, CRM push). Makes troubleshooting 10x easier. ​ 2. Color-code everything. Green = inputs. Yellow = needs tweaking. Red = something's broken. ​ 3. Use folders. SOP templates, client work, in-progress tables, temp tables. Delete untitled workbooks immediately. ​ 4. Know what Clay does / doesn't. Clay is the middleman. Always ask: What are my inputs? What does Clay do with them? What's the output? Etc, etc. ​ 5. Enable auto-deduplication. Bottom-right corner. NEVER spend credits twice on the same contact. ​ 6. Turn the table OFF when importing data. "Auto update columns" will burn credits before you're ready. Switch it off. Bottom-right corner. ​ 7. Test on 1 row. Then 2. Then scale. Run 1. If it works, run 2. If it works, run all. ​ 8. Switch off auto-update on complex tables. Stops enrichments from auto-triggering the next step and draining credits. ​ 9. Focus on ONE table at a time. Shiny object syndrome kills productivity. Start to finish. Then move on. Oh, and do not try to replicate the giveaway Clay tables from Linkedin posts. They are 99% BS and won’t work. ​ 10. Save other people's templates separately. Use them as inspiration only. Everyone's tech stack is different. ​ 11. Save YOUR templates for reuse. Spent 30 minutes writing a killer prompt? Save it. You'll use it again. ​ 12. Build waterfall templates. Email finders, enrichment chains - set them up once and then reuse them forever. ​ 13. Use Clay Functions. Automates repetitive enrichment flows. Will save you HOURS. ​ 14. Create a Do Not Contact (DNC) list. Separate table. Cross-reference with "Lookup Multiple Rows" so you never contact the same person twice. ​ 15. Push contacts to a CRM table. After adding leads to campaigns, write them to a master CRM table in Clay. Keeps everything organized. ​ 16. Define scope before building. Write down: Step 1, Step 2, Step 3. Then match each step to an enrichment + prompt. ​ 17. Prompt AI properly (6-step framework): → Input (what you're starting with) → Action (what you want AI to do) → Constraints (word count, format) → Prefix (sentence structure) → Example (show AI what good looks like) → Click “Generate” to generate the mega-prompt inside Clay ​ 18. Mark broken columns in red. Mental shortcut when you re-open the table. ​ 19. Check credit consumption. Settings → Credits Usage. See which tables are burning credits and replace them using external APIs. ​ 20. Buy tools outside Clay Cheaper to use Prospeo or Lead Magic directly than through Clay enrichments. ​ 21. Delete unused tables. Clean workspace = clear head. ​ 22. Don't overcomplicate it. Most people add 20 enrichments trying to look fancy. Start simple. Add complexity only when needed.

2010 was Salesforce 2015 was HubSpot 2025 is Clay These kinds of companies are only born every 5 to 10 years. They represent a paradigm shift in how marketers and salespeople do business, and they open up an entirely new business category. > Salesforce → CRM and cloud data storage > Hubspot → Inbound Marketing and RevOps > Clay → Clay Agencies and GTM Engineering Huge consulting businesses have been built on top of these ecosystems. (Some Salesforce implementation businesses are nine figures.) The number one advice if I wanted to skyrocket my career in marketing and sales is always the same. Niche down on a rocket that's booming and already in demand. Closing what's already hot is the number one business cheat code. And sell the new way of doing things. | 48 comments on LinkedIn

The tests are in and we are not allowing generic AI personalizations based on company descriptions as first lines anymore. I could prove this raised reply rates but recently, in most markets, it falls flat. We try to always lead with some kind of signal or pain point that we research but if we can't do that, we would fall back to a company description based personalization. Something like, "I saw you help fitness coaches retain clients and I wanted to get connected." We used to see increased reply rates when we personalized first lines with AI-generated content scraped from company websites. Now the data is pointing the opposite direction. Sophisticated buyers recognize generic AI personalization instantly which hurts your message: - "Hey, I saw how you helped fitness enthusiasts breathe better..." - "I noticed you're focused on helping local businesses..." - Generic references to their company description They've seen it a thousand times. Here's what we do instead: If we have a real signal: We use it. Something specific, custom-scraped, that ties directly to their problem and our value prop. **If we don't have a signal:** We treat cold email like a banner ad. Put the offer in the preview text. Make it punchy. No fake personalization. Think about it: When someone's scrolling on their phone or web browser, they see the subject line + preview text together. That's your click opportunity. Stop wasting time generating first lines from company descriptions. Unless you have custom research that goes well beyond what's publicly available on their homepage, foregoing AI personalization and writing punchy, split-tested first lines performs better. We've seen this deteriorate over the past six months across our customer base and as someone that would suggest it based on the data, I want to correct the record and say we're out of it now.

If I was head of sales for a SaaS start up, Here’s the only 2 growth hires I’d make : 1. GTM Engineer → Owns data, signals, infra, and automation → Running high volume email + LinkedIn campaigns 2. Elite SDR → Lives on the phone 90%+ of the day → Just dials high-intent prospects all day long Now, the question is 👇 How do you make these 2 roles work together and get the planned output? The GTME (AKA the builder): → Maps your full TAM using AI Ark, Sales Nav, DiscoLike → Tracks buying signals across RB2B, Leadfeeder, LoneScale → Sets up email + LinkedIn infra that can hit 100k+ prospects monthly → Launches AI-powered campaigns via Claude + Smartlead and GetSales.io → Enriches data through Prospeo.io, LeadMagic, BounceBan The SDR (AKA the closer): → Gets auto-fed positive replies from email + LinkedIn → Receives pre-qualified prospects with mobile numbers → Dials 250+ high-intent prospects daily → Spends zero time on list building or admin Now, the feedback loop that makes it scale: → No replies? New campaigns are spun up daily until a winner is found → Bad numbers? Leads auto-re-enriched with fresh data → GTME keeps feeding new signals, new campaigns, new lists → SDR refines cold call pitch with Gong intelligence Stop hiring bloated sales teams. Bet on just 2 killers instead. Builder. Closer. Infra + Execution. Want help building something similar for your business? Drop me a DM. | 36 comments on LinkedIn

We've ALL made every GTM mistake in the book I’m sure you noticed it is never about the tech itself it's getting people actually to use them And we learned this the hard way… → change management matters more than the system itself → not everything needs to be automated → bad data is way more expensive than you think → outbound without relevance is just noise → partnerships need as much system as the sales team (this team is often swept under the rug) .. a few tips that can go a long way 👐 DM me if your team needs some expert guidance, hands-on execution | 68 comments on LinkedIn

These 3 changes to our cold email copy 5x’d demos booked last week. OLD VERSION: Subj: $18 per lead is a lot Body: You’re paying ~$18 per lead or more on Meta right now. And, some more if they don’t convert for the first time. Meanwhile, your ESP is only able to identify 15% of this traffic, which means more visitors stay anonymous. Retention.com helps you identify these high-intent anonymous visitors, so you can bring them back to buy without pouring more money into remarketing. Right now, we’re letting a few brands test it: Get your first 10,000 leads for free ($1k value). No commitment required. Just see if it works. Thoughts? NEW VERSION: Subj: 10k leads on us Subhead: (not kidding) Body: Retention (dot) com identifies your anonymous website traffic and gives you email addresses of people who don’t fill out a form. We’ll give you your first 10,000 email addresses free, then it’s just 10c per email. No contract, cancel anytime. Want me to send a video of how it works? THE CHANGES WE MADE: CHANGE #1 - 1 IDEA PER EMAIL - The old version talked about price per lead, ESP resolution rate, and - The new version talks about what we do and that’s it CHANGE #2 - KILLER SUBJECT LINE - The old version is definitely NOT the “punchiest” way we could be describing ourselves - The new version is closer to a “I’ll stop scrolling and click through” subject line - it’s just a crazy offer CHANGE #3 - CLEAR AND CONCISE - The old version does not express the clearest essence of our pitch in as few words as possible - The new version punches you in the face with the “so what” and “prove it” tests - New version is also more conversational, which I like TAKEAWAY Cold email is hard. Writing great copy for cold email is even harder. When you sit down to write your next outbound email, remember: 1. One idea per email 2. Clear and concise 3. Seek out a $100m offer Did I miss anything? | 43 comments on LinkedIn

Are you trying to jump into GTME? Here's my top #3 advices: 1) Your network + media brand is probably your #1 asset ever and you can actively work to develop it Even if you are the best GTM Operator in the world, if you can only get bad clients, you get bad results and it's a race to the bottom: > No budget to serve them > No clear offer, PMF, no brand awareness > No patience, impossible or misleading expectations Everything leads to low self-esteem when it's clearly not your fault. How can you develop your network: > Golf > LinkedIn > Paid community > VCs and events / communities > Strong lead magnets on top 100 list 2) FOCUS Pick one thing and go all-in. You chose GTME? Cool. Stay there. Forget about AI agents, Hubspot, AI agencies, etc. Pick something hot that's already winning and build everything around it. 3) Allowing things to compound That's deeply connected to 2) When you choose 1 thing: > People remember you for that (positioning) > You will get better and better, referrals will start > Partnerships work because you are not offering everything > There are tools like the Clay Partner Ecosystem that will send you leads - What else would you add? | 36 comments on LinkedIn

Outbound isn't dead. AI raised the bar. 5 things that changed the most: 1. The bloat era is dead. • We went from 10 tools that don't communicate to 1-2 powerhouses tools. • Clay, Common Room and others merged multiple providers. • As a result less chaos & more efficiency. 2. Infrastructure became the bottleneck • Deliverability tanked. Sending from one inbox ain't working. • It's crucial to have great deliverability managment (Maildoso) • Now you need 10-20 inboxes minimum just to play the game. 3/ AI found its lane • It's terrible at relationship building (thank god). • It's 10x faster in research, insights and copywriting than humans. • Smart reps use AI like Substrata for speed & focus on relationship building. 4/ AI SDRs grew up • 2023: Overhyped garbage. 2026: Actually useful • Companies like AiSDR can outresearch most BDRs now. • Not replace them. Enhance them. It evolved into a copilot mode. 5/ "Human-in-the-loop" is a must. • AI can't run outbound efficiently. • But a team of GTM engineer + SDRs will do the job. • Someone needs to keep tools talking to each other & catch mistakes Average is dead. Great is the new table stakes. What's your take on outbound in 2026? | 92 comments on LinkedIn

This is the only cold email I answered in the last 12 months. Here's why it worked on me: 1. Subj line is prob weakest point, but I opened it because I know the guy (so do many others, he is good at going viral) 2. Pattern interrupt with the “Adam! Wasn’t quite sure…” 3. Knows I’m not testing Meta ads (prob b/c my meta ads library is so tiny) 4. Very specific - yet unspecific - social proof, emphasizing companies “like me” 5. Gains more credibility through the “run this playbook enough times” setup for the CTA 6. Nice use of the money-back guarantee in the CTA. If he’s hitting people actually doing influencer in B2B, I bet he’s doing pretty well with this email. Am I correct Kennan???? Did I miss anything in my analysis??? | 138 comments on LinkedIn

What if we run out of target accounts? What if we burn them?" (I hear this at least once a week.) And honestly? That’s the wrong fear. Your TAM doesn't run out. Here's why the "we'll burn through our list" excuse is bullshit: 1️⃣ Your market is gonna change New people join companies every quarter. Roles shift. Restructuring happens. Decision-makers rotate. The VP you pitched 6 months ago? They might be gone. The Director who ignored you? They just got promoted and now own a budget. And sometimes… You even change who you market to. Your TAM isn't static; it's constantly refreshing. Don’t think in snapshots; it’s a motion. ✌️ 2️⃣ Your service/product evolves You launch new services. You add new angles. You test different messaging. The more different teams I work with, the more I come to realize that most of them truly underestimate how much their GTM actually changes over time. You're not the same company you were 6 months ago, so why are you still pitching like you are? So if you're still worried about "burning through your TAM," here's a quick audit: → Have you tested 3+ messaging angles this quarter? → Have you revisited accounts from 6+ months ago with a new offer? → Have you scrapped your "perfect" pitch and tried something weird? No? Then you haven't run out of TAM. You've run out of experiments. 😂 (& if you need help running those experiments, you know where to find me 📲) | 69 comments on LinkedIn

What separates outbound that works from outbound that breaks? Three things. 1. STRATEGY ❌ Bad outbound: → Weak offer that sounds like everyone else → Too broad, no real ICP → Random messaging tests → Value saved for the call ✅ Good outbound: → Clear outbound-specific offer → ICP with buying pain → Defined positioning → Value delivered before meetings Your offer needs to work for cold contacts, not warm leads. How: Test your offer on 10 cold prospects before scaling. If they don't respond asking for more, your offer isn't strong enough. 2. SYSTEMS ❌ Bad outbound: → Poor inbox setup → Too many disconnected tools → No meeting metrics → Breaks when scaled ✅ Good outbound: → Strong deliverability infrastructure → Clean data → Clear metrics → Simple workflows → SDR and sales alignment You can't optimize what you can't measure. You can't scale what breaks at volume. How: Build infrastructure for 10,000+ daily sends from day one. Deliverability, domain rotation, reply handling. What works at 200 sends will kill you at 2,000. 3. EXECUTION ❌ Bad outbound: → Inconsistent volume → Burned inboxes → Replies with no intent → Meetings that go nowhere → No control over output ✅ Good outbound: → Consistent volume → Safe sending → Replies driven by the offer → Qualified meetings → Predictable pipeline Volume without quality is noise. Quality without volume is luck. Both need to work at scale. How: Track what qualifies as a real meeting. If your SDR and sales definitions don't match, your metrics are meaningless. ❌ Bad outbound tries to fix execution with better copy. ✅ Good outbound fixes strategy and systems first. Then executes at volume. Founders skip straight to execution and wonder why nothing sticks. We prove it works before you pay. 3-4 qualified meetings. You verify ICP fit. Apply for a pilot: https://bit.ly/C17Pilot Repost to help others fix their outbound. Follow Enzo Carasso 🧲 for infrastructure that scales. | 75 comments on LinkedIn

One of my clients texted me this picture of a post (actually an ad 😉) from my friend Hans and asked me if I agree with it. The answer is a definitive yes. I absolutely agree. Relevance and a high quality offer will ALWAYS beat personalization in terms of setting meetings and converting new opportunities. But they don't necessarily do the same thing. Relevance beats personalization in terms of generating legitimate interest in whatever it is that you're selling. This is why signal based outreach is so dang important vs. only completely cold outreach and high volumes (although this works too. Just varies by offer/company). Personalization definitely does help too, but it plays a different role. RELEVANT personalized lines make people feel heard and understood, which has a slight improvement on positive response rates. But more importantly, it helps from a deliverability perspective. It helps you bypass spam filters and land in the primary inbox more frequently when sending email campaigns. ESPs are using AI to determine whether you're a spammer or a legitimate sender. If you're reaching out to relevant buyers with relevant messaging, you are not a spammer. You're scaling your company through outbound sales. In fact, we're working a client that ONLY targets people using outlook as their ESP. If you know anything about cold outbound in 2026, you know that outlook is difficult to land in. But with a blend of personalization and relevant targeting, we're still seeing 9%, 6%, and 4% reply rates on multiple campaigns at scale. This is truly best-in-class. Shout-out to Mark Lim. So does relevance beat personalization? 100% yes. But you need both in order to maximize your success with outbound campaigns in 2026. | 29 comments on LinkedIn

Ads (!!) in Clay is happening. I'm really hyped about this product expansion 🔥 We are already seeing customers like Slack, Anthropic and Rippling hit 90%+ match rates against their paid ad audience on LinkedIn and 60%+ on Meta. This is 2-4x what they were getting before, which is a massive win for marketing teams. Even more, Clay can update audiences in real-time as new records come in. That means no more passing CSVs back and forth between systems. Update lists and suppress closed-won customers/CRM contacts automatically. Your ad campaigns are only as good as the people who see them. Now you can finally target the right accounts (the ones you actually care about!) and right titles across channels, without wasting money and time on the rest. Here's one example of a campaign you can run: 1. Setup website intent in Clay to deanonymize web traffic 2. Search in Find People for your ICP contacts 3. Enrich them to find their hashed advertising IDs using our ads ID waterfall 4. Create audiences in Ads to run ABM campaigns 5. Convert them deeper into the funnel where you can message them in a highly personalized way. If an account is cold, you show thought leadership and awareness ads. If they become aware, you start showing social proof / middle of funnel (think: webinars, case studies). If they are warm, you can try to convert them via leadgen ads and send direct to sales. All of this happens programmatically as engagement score goes up on an account. They get pushed by Clay to a different Ads audience and naturally start seeing different type of ads. Clay Ads is in open beta today for enterprise customers (check left sidebar of home page) and we are looking for feedback from marketers to make it best in class. Let us know if you want to try it. Learn more at clay.com/ads and register your interest in the beta here: https://lnkd.in/gfNbQ2Ku | 145 comments on LinkedIn

I think most people are wasting their LinkedIn outreach thinking of it like email instead of it's own channel. Here's the 3 strategies I'd do instead. I was speaking to James Winter about some suggestions I had for his portcos with Claude code and such and I brought up how one of their portcos wanted to sync LinkedIn outreach with email. "We think if we email them twice, we should move over to LinkedIn." In my opinion, that's a waste of the channel. LinkedIn outreach (especially using voice notes) 99/100 times has higher reply rates than cold email but lacks the ability to scale without fake accounts. If you only had 25-50 connection requests to send per day, why would you use the same strategy of email where the channel scales linearly. When you're doing LinkedIn outreach, I'd focus on these things first. 1) Use a tool like Trigify.io or some Rapid API endpoints to find your ICP engaging and connecting with customers you have permission to name drop. Find everyone engaging with your customer's employees posts and their company page. Don't say, "I saw you engaging with my customer's post" but instead send your regular message you usually would but leave a custom variable in your social proof line of your message to reference that customer. Instead of sending a message saying, "We help companies like {{company they have never heard of}}...." you can name drop that customer case study who they will of course know. 2) Install every website deanonymization software on your site with a free trial. if they do contact lookup, clean them up and make sure they are ICP. If they do company lookup, use Clay or Prospeo.io to find contacts. Target people and companies with a high likelihood of being on your site. Again, don't mention anything about being on the site. Just reach out like you normally would and put a little delay on it. Track which tools give you the highest reply rates/success and pay for them. Probably a whole post can be dedicated on why I suggest you try them all for your niche but it's free, so trust me on this one. 3) Reach out to people showing intent about your solution/problem/they are doing research/etc by targeting people in your ICP engaging with posts on the topic (or your competitor's post....) Same strategy here, just going a little bit more broad and using the last amount of capacity you'll have because of the limits of reaching out from 1 account. So instead of thinking about LinkedIn as an extension of email, remember you only get so many shots on goal and the reply rates are so much higher on LinkedIn. Use them to reach out to some of your hottest leads. | 22 comments on LinkedIn

$3.42 to find 49k Instagram profiles including their emails and some light ICP building ready to go? Let's break it down. Scraping Instagram is notoriously difficult but so many people want to target creators/contacts that really aren't on LinkedIn (thank goodness the LinkedIn engineers aren't as good at blocking scraping as Instagram). So we have to go to our favorite scraping partner on the internet. Hey there Google! Google has built you a search scraper that everyone company must let it in in order to be discovered. In this process, we used OpenWeb Ninja's google search api to do it. Let's try to break this down. Google scraping is great but you can only get a subset of searches at a time. So if you want a ton of contacts, you're going to have to run lots of different searches programmatically. For this search we were targeting CEOs, authors, founders, etc. Not necessarily professional content creators. I had Claude code build me searches for every state, every city, and then 200 keyword searches to pair with each base keyword. We would scrape Google searches where the search would be site:instagram.com "founder" AND "@" AND "Los Angeles" AND "Finance" vs. site:instagram.com "founder" AND "@" AND "Los Angeles" AND "MedSpa" (the @ is to have the highest chance that someone has an email in their bio!) If we only search for site:instagram.com "founder" no way we get the whole search. Then Claude code ran with the OpenWeb Ninja API and completed the searches for me while deduping in the process. Going to throw it in Clay to orchestrate some final mile Apify enrichment and email validation before launching the campaign! | 20 comments on LinkedIn

Most people start with Layer 3 (see the graphic below). They obsess over subject lines and personalization before they've even built an offer that works cold. That's backwards. There are 3 layers to outbound: → Layer 1: Outbound Strategy ICP definition, offer design, and positioning. If your offer doesn't deliver value density before the meeting, no execution will save you. If your ICP is too broad, you'll burn volume on people who'll never buy. This is where differentiation happens. Most people skip it because it's hard. → Layer 2: Outbound Marketing Plan Targeting rules, list-building logic, and channel mix. This is where strategy turns into structure. Segmentation by use case. Measurement frameworks. Qualification criteria. Without this, you're guessing at scale. → Layer 3: Execution & Scale Cold email sending, SDR workflows, and follow-up sequences. This is where everyone starts. That's why most outbound campaigns plateau early and can't scale past low volume. The reason this order matters: Skip a layer, and the next one fails. Skip Layer 1 → weak offer gets exposed at volume Skip Layer 2 → execution breaks when you try to scale Start at Layer 3 → polite declines, forever Outbound works when you treat it like engineering, not marketing. Ready to test this? Manufacturer or professional services company doing $2M–$3M+ with an LTV above $7K? Book a pilot. We'll get you 3-4 qualified meetings before you pay anything. Apply here: https://bit.ly/C17Pilot Repost this to help founders stop optimizing the wrong layer first. Follow Enzo Carasso 🧲 for more on outbound engineering, offer design, and controllable pipeline. | 104 comments on LinkedIn

The most dangerous and biggest BS lie in sales: “AI will fix our process.” It won’t unless the process is built for AI. Most teams don’t need more tools They need AI infrastructure with the inputs, signals, outputs, and systems that actually make AI useful. Here’s what a real AI-native sales engine looks like under the hood: AI Inputs → ICP, buyer context, triggers, tone AI Signals → stagnation, sentiment, leakage, engagement AI Outputs → personalization, timing, risk alerts, forecast checks AI Systems → outbound frameworks, coaching loops, pipeline intelligence When these pieces connect, AI stops being a writing assistant and starts being the operating system your revenue team runs on. Cleaner forecasts. Higher replies. Smarter coaching. Tighter pipeline visibility. DM me “AI” if you want to start working like a real SaaS Founder/CEO, using AI in the way it matters. If that’s you, then stop running your company like it’s 2022 and let’s implement a revenue machine together. 👉 Follow Alan Ruchtein for AI-native GTM systems that actually move revenue. | 76 comments on LinkedIn