Time to share the sauce. Here's the exact 5 Cold Email Templates that book us meetings predictably. The unique luxury of pitching cold email services via cold email is that the channel becomes the proof. The medium essentially = the product. If the outreach is good, it's same to assume the product's good. ------- Learn how to execute these templates at scale: https://lnkd.in/eN7qinfB | 14 comments on LinkedIn

B2B Sales Stack: THEN vs NOW 🔥 24 tools (12 old, 12 new) => pick modernity 🆕 Most B2B softwares have been around for decades. It's a proof of their stability. Stability is good but sometimes you have to innovate. 1°) CRM Alexander Christie from Attio released an excellent paper about Salesforce that convinced me -- along with their great product -- that Attio is going after Salesforce the right way. On our end at Breakcold, we're not in that realm. We have a different positioning, which results that almost half of our new customers come from Pipedrive. 2°) Multi-channel Considering the fantastic growth of lemlist lately, as explained by Charles Tenot, it's clear that they're eating more and more Outreach and Salesloft's lunch. Watch out for Dorian Ciavarella from ZELIQ though, they're very hungry to build the next dominant sales platform of that era. 3°) Leads Both ZoomInfo and Hunter had to comply with regulations which probably slow downed their innovative pace. That's why gigantic platforms like Apollo exploded, but we saw lately how grey innovation can be. On the other hand, Roman Hipp from BetterContact popularized the concept of 'Waterfall Enrichment', now almost a standard on the market. 4°) Cold Email I could have quoted many other tools, Instantly.ai not necessarily replace Mailshake and Yesware. They undoubtedly launched the cold emailing at scale era. 1 thing for sure is that Vaibhav Namburi made this era so much better with Smartlead . 5°) Workflows Ok please don't be too harsh on me Zapier and Make, you're still mega relevant! But when it comes to B2B sales workflows, niched tools like Clay and Default are really making GTM roles but also traditional salespeople delighted. 6°) Presentations There's not a single week without seeing Gamma from Grant Lee somewhere. In the sales space, trumpet 🎺 by 🎺 Rory Sadler has been leading the 'sales pods' race so far with an astonishing number of native integrations. ----- What did I miss? 🤔 If you're a digital SMB, try my CRM software Breakcold 🔥 | 37 comments on LinkedIn

Your outbound campaigns are failing because of one thing you're ignoring. Most people obsess over messaging and timing. They spend hours perfecting their copy. Then wonder why their campaigns tank. The real problem? Your lead list is built on garbage data. Here's what actually happens: You buy 1,000 emails from a provider. You load them into your campaign. Then reality hits: - 50% are catch-alls - Bounce rate climbs to 15% - Domain reputation tanks - Inbox placement drops - Campaign dies You didn't fail at messaging. You failed at the foundation. Inside every lead list, there's a hierarchy: Lead List → Data Enrichment → Email Finding Most people stop at the top. The winners? They obsess over the bottom. Finding the right email is everything. Because quantity means nothing if the emails don't work. Here's how to fix it: 1. Stop chasing volume. One real email beats 10 catch-alls. 2. Test your provider's accuracy. Send to 100 emails. Track bounces. If it's over 5%, switch. 3. Look for enrichment stacks that do it all. APIs for scraping. Built-in databases. Profile finders. One platform beats juggling five tools. 4. Automate the flow. Manual enrichment kills your time. APIs handle it while you sleep. I've tested multiple providers. The ones that work don't brag about numbers. They deliver emails that reach real inboxes. Icypeas is one example that does this right. Not just email finding. Full enrichment stack in one place. I use it for my waterfall enrichment in Clay. Your outbound is only as strong as your weakest pillar. Fix the foundation first. Everything else gets easier. | 58 comments on LinkedIn

Top outbound sales tech in 2025 👇 Clay - orchestration layer for all your GTM workflows Smartlead - email sequencer for high volume outreach with optimal deliverability Apollo - still the goat when it comes to old school list building Prospeo.io - if you could only use one email finder, this is the one DiscoLike - build lookalike lists of your best customers BounceBan (Verify risky emails without sending messages) - validate an additional 20% of emails with catch-all validation Claude - the best LLM for writing your sales copy Any I missed?

Here's how to use Clay to automate graphic design assets: This table is actually super simple to build, and only really requires: 1. Clay integrations to find the data you'd like to include in your asset 2. A Templated HTTP API call Using just these two things, you can create event invitations, webinar graphics, social assets, and more 🚀 Highly recommend this use case for anybody in MarOps looking to get started with Clay- big shoutout to Akansh Gupta for his help with this one. Here's a video walking through it below ⬇️

How to Turn Clay into a Fully-Autonomous Outbound Engine (start to finish) Steal this playbook. Here’s the complete system 👇 1️⃣ Strategy Foundation - Lock In Your GTM Inputs Start by getting laser-specific on who you're trying to reach. → Define your ICP criteria: sector, revenue band, team size, tools used → Identify key triggers: headcount shifts, new tech installs, funding rounds → Draft value propositions for each ICP slice (baked directly into Clay variables) Tools I rely on: Clay filters, Clay formulas (Get this step tight and everything downstream becomes effortless.) 2️⃣ Data Sourcing & Enrichment - Give Clay the Inputs It Needs Next, you need clean, enriched data. → Pull company lists straight from LinkedIn into Clay → Layer on enrichment: Company metadata (Crunchbase, Clearbit) Tech stack insights (BuiltWith) Social signals (LinkedIn, Twitter) → Remove low-intent or low-fit accounts with custom logic Tools I rely on: Crunchbase, Clearbit, BuiltWith, LinkedIn enrichments 3️⃣ Signal Tracking & Lead Scoring - Automate Qualification This is where personalisation becomes automatic. → Track key signals: job updates, growth trends, funding activity → Score prospects for fit and timing using Claygent (GPT does the grunt work) → Build your prioritization list (I use a 1–100 scoring model) Tools I rely on: Claygent (OpenAI), People Data Labs, SignalHire, Crunchbase, Clay formulas 4️⃣ Campaign Deployment - Launch Hyper-Personalised Outreach Once the system is ready: → Auto-generate tailored messages using Claygent + your enrichment variables → Send straight into Instantly or Smartlead through native Clay integrations Tools I rely on: Claygent, LinkedIn Profile Scraper, Instantly / Smartlead That’s the full workflow, end to end. You’ll spend way less time sifting through data or writing emails and way more time actually closing deals. StackOptimise ⚙️ | 47 comments on LinkedIn

At StackOptimise ⚙️, we’ve put nearly every outbound tool through its paces. Here's the 7 that make the cut right now: 1️⃣ Clay The brain behind our entire system. From enrichment to personalisation - everything flows through Clay. 2️⃣ Smartlead Still the undisputed champ for cold email delivery. Unmatched warmup tech, inbox rotation and deliverability performance. 3️⃣ OutboundSync Our connective tissue. Keeps Smartlead, CRM, and everything else perfectly in sync. 4️⃣ Prospeo.io Our starting point for every campaign. The most accurate email finder we’ve tested. 5️⃣ BounceBan (Verify risky emails without sending messages) Our secret weapon for verifying catch-all emails. Delivers 30% more verified contacts. 6️⃣ GetSales.io Our choice for LinkedIn outreach at scale. Unlimited sender profiles and robust safety measures. 7️⃣ Premium Inboxes Top-tier inbox provider with white-glove support. Easy setup, excellent deliverability, zero headaches. Check out the world's largest mapping of outbound tools here: https://lnkd.in/erXSMeqY | 38 comments on LinkedIn

The day your “best rep” calls in sick shouldn’t be the day your pipeline flatlines I’ve seen it happen quite a few times One rep carries the team, crushing quota month after month Leadership feels safe Until one week, their inbox slows down, their follow-ups lag and suddenly: -The pipeline dries up -Deals stall -Everyone scrambles It’s not that your rep can’t deliver It’s that your system can’t keep up When you rely on a single rainmaker, you’re basically betting the company on their shoulders And no matter how good they are That’s a bet you’ll eventually lose The teams that win build machines that: -Target ICP with surgical precision -Show up across channels in the right way -Drive every interaction forward automatically -Keep deals alive long after “not now” When you run like this, it’s not about who makes the call or sends the email It’s about the system working 24/7 Which is never tired, never forgetting and never letting a hot lead slip Repost ♻️ to inspire your network and 🔔 Follow Nick Palasz for more | 63 comments on LinkedIn

Most sales leaders have given up on cold email entirely Meanwhile, we just booked 17 meetings last month using it Here's how (my exact method no gate keeping) Revenue leaders are sick of SDRs being "email monkeys." Putting leads into a sequence isn't sales - it's laziness that worked for a while 🥱 Some try solving this by buying inboxes - but they burn them as fast as they buy them. My take: Sales people should be on phones. Emails should be handled by experts. This landed us meetings with execs at Binance, Nvidia, HSBC, Casio & 100's more: Step 1️⃣: Infrastructure Design Calculate exact inbox needs, then buy from multiple providers (Google Workspace, Microsoft 365, different registrars) Our go-to's: InboxKit, Zapmail & Hypertide. The 2x Rule: Buy 2x the domains needed. While Set A is active, Set B warms for 45 days. Step 2️⃣: The 30-Day Warmup Every inbox gets 30 days before touching prospects. 10-25 warmup emails daily with 30-60% reply targets. Week 1-2: Pure warmup Week 3-4: 10 cold emails daily Week 5-6: 15-20 cold emails daily After 45 days: Full campaign Step 3️⃣: Lead List Intelligence We run lists through Clay to score into three tiers: • Tier 1 (Top 20%): Perfect ICP matches • Tier 2 (Middle 60%): Good fits • Tier 3 (Bottom 20%): Difficult providers Then analyze MX records. Gmail inboxes go to the top. Enterprise security (Barracuda, Proofpoint, Mimecast) goes to the bottom. Your domain builds reputation as it sends. First 100 sends should hit the easiest inboxes, not the hardest. Step 4️⃣: Verification Every lead runs through TrueInbox or Millionverifier. Target: <2% bounce rate. One bad list burns a 45-day warmed domain. Treat verification like domain insurance. Step 5️⃣: Copy That Converts We reverse-engineer a perfect one-to-one email, then use Clay to create that personalization at scale. The result? Email that sounds individually written, because the foundation was. The math most sales leaders miss: ▸ Bad infrastructure + great copy = burned domains ▸ Great infrastructure + bad copy = fixable with A/B testing ▸ Bad infrastructure + bad copy = why you gave up Cold email works if you know what you're doing. ______ Struggling to get replies? We'll build you the system in 90 days - so you own it forever. DM me. I'm the founder of The Playbook Agency - GTM operations partner for SaaS brands from Seed to Pre-IPO Find, contact & own your TAM with us | 18 comments on LinkedIn

I have more 10+ B2B list building workflows for cold outreach. Here’s how to build a strong B2B email list: 1. Define your ICP before anything else - Who are you targeting? (Industry, job role, company size) - What problems do they have? - Why would they care about your offer? A clear ICP ensures you’re reaching decision-makers who actually need what you offer. 2. Use verified data sources - Low-quality emails = low-quality results. - Tools like Icypeas help find and verify real emails. I use waterfall enrichment with 2 data providers and in this workflow, I prefer to use Icypeas because: ☑ Solid Lead Data Base API ☑ 2-5x cheaper than alternatives ☑ Highest discovery rates with catch-all verification Always verify emails before sending outreach to avoid bounce rates. 3. Leverage networking and events - Webinars and conferences are goldmines for relevant contacts. - Engage in Linkedin groups where your prospects hang out. - Reach people who have engaged with your Linkedin post. Webinars and conferences = warm leads. LinkedIn groups = easy connections. Networking-based contacts convert better since there’s already some level of engagement. You can use trigify to monitor social media for high value leads. 4. Optimize your website for inbound leads Gated Content: Offer lead magnets in exchange for an email.‍ Newsletter Sign-Ups: Encourage visitors to subscribe for updates.‍ This method builds an opt-in list where leads are already interested in your business. You can use vector, meetvisitor, instantly, leadpipe or dealfront to capture visitors' details. 5. Clean your list regularly - Bounces kill deliverability. - Keep your list fresh to stay out of spam folders. I use Icypeas to verify my email list and keep your bounce rate under 2.5%. Most people collect emails like Pokemon cards-randomly and without strategy. Then they wonder why their response rates are terrible. It’s not about having the biggest list. It’s about having the most relevant one. Finding and validating emails don’t have to be expensive. If you want to get better results and don’t want to spend more, You should give Icypeas a try. Focus on quality first and then plan to scale. The replies will follow. | 74 comments on LinkedIn

Growth Engine X is an outbound agency that sends 3,000,000 emails per month on behalf of their clients. We specialize in data segmentation, AI messaging, and creative campaigns. Here's a link to our social proof deck https://gamma.app/docs/Collection-of-...

In this step-by-step video, you’ll discover why evidence not just personality or persuasion moves prospects to commit and transforms your pipeline results.

This video will help you to turn cold email replies into high value meetings using dynamic, personalized lead magnets exactly how we at StackOptimise does it for seven figure B2B clients every month.

AI Agents vs Workflows vs MCP: the simple breakdown for RevOps and GTM teams Everyone's throwing these terms around, but most explanations are either too technical or too surface-level. Here's how I think about each one: Workflows = the assembly line Think Zapier, n8n, or Make. You define the exact steps: 'When this happens, do that, then this.' Good for: predictable, repeatable tasks where you know all the steps upfront. AND you don't need the system to think, just do. RevOps example: When a deal hits Closed Won → update Salesforce → send Slack notification → create onboarding task in Monday GTM example: New lead from form → score in HubSpot → assign to SDR → send welcome email sequence The limitation is you have to anticipate every scenario. No flexibility when things get messy. AI Agents = the smart assistant They can reason through problems, make decisions, and adapt to new situations because you use an LLM (gpt, claude, perplexity etc). Good for: complex tasks that require judgment, research, or creative problem-solving RevOps example: 'Analyze this quarter's pipeline data and identify accounts at risk of churning, then draft personalized retention emails for each' GTM example: 'Research these 50 prospects, find relevant pain points, and write personalized outreach messages that reference their recent company news' The limitation is its less predictable. Sometimes brilliant, sometimes needs guidance. MCP = the universal translator Model Context Protocol. It lets AI agents talk to your tools directly - Salesforce, HubSpot, Slack, whatever. Without MCP: You copy data from Salesforce, paste it to ChatGPT, copy the response, paste it back With MCP: The agent pulls data from Salesforce, processes it, and updates records automatically Good for: eliminating the copy-paste dance between AI and your actual work systems RevOps example: you tell an agent via natural language to query Salesforce for stalled deals, analyze patterns, then automatically create follow-up tasks and update opportunity records GTM example: you tell an agent via natural language to research prospects in Clay, writes personalized emails, then load them directly into your outreach tool Workflows handle the routine stuff that requires no reasoning. Agents tackle the thinking-heavy work. MCP makes it all seamless via natural language direction. The real unlock is orchestrating them together. Start simple though. Pick one process that's eating your time. Map it out. Then ask: What parts need rules? What parts need reasoning? What parts need seamless data flow? That's your roadmap. Credit to Generative AI on the image --- If you want Spring Drive to help you leverage AI for GTM Engineering, DM me. | 51 comments on LinkedIn

If you're wondering which LLM to use, here's my breakdown. Why they're good...and BAD. 1. Open AI remains a fundamental pillar and one of my go-to LLMs. O3 is genuinely powerful for research - the depth it can go when you need comprehensive analysis is impressive. It's references are pretty good but definitely need to be checked over - it rarely spits out something completely irrelevant, but might well spit out something outdated. 4.1 and 4.0 are great fast, efficient tasks - we use the mini runs a lot in Clay when doing simple but effective research at scale. 2. Claude is where language gets interesting. Sonnet 4 is excellent for semantics and nuanced writing that's hard to match. When you need something that doesn't just sound right but feels right, Claude tends to deliver. Opus 4 brings more horsepower when you need both quality and complexity, and has the ability to build some crazy stuff. However, I have found that it can sometimes hiccup on research that o3 wouldn't on... 3. Gemini 2.5 is the one I'm still figuring out. I know this is a fan favourite for quite a few, but so far I've found that it hasn't added a huge amoutn to what others already do for me. Although when I questioned it for 3 hours at 1am about whether or not Google want to kill cold email - it was rather nice about the whole thing. 4. Perplexity has carved out something specific: research legitimacy. I ran a recent test across o3, opus 4, and perplexity's deep research, and perplexity smashed the others on highly relevant and on point references. When I need sources that actually check out and citations that hold up, it's becoming the go-to for me. 5. Grok surprised me with its conversational flow - if I want to work through a problem that doesn't have a clear binary solution, I find its fast and comprehensive. This is actually where I don't quite like Perplexity - I find it sometimes won't go as far as I want it to, even if what it has provided is good. I'm not going to say too much on the recent misgivings on Grok (iykyk), but certainly in the use of GTM, it's great to work with. My advice is to mix it up - but you probably don't need to use like 4 just to be confident you're not missing something. You'll probs end up with your favourite 2 or 3 depending on the use case. And guess what, that's fine. What's your favourite LLM? Comment below let's rack up the votes... | 21 comments on LinkedIn

Get the complete 2025 guide to cold email deliverability coming straight from the agency sending 1,000,000+ emails a month for top B2B brands!

Claygent Navigator is kind of nuts. Think a ChatGPT or Claude agent for as many contacts/companies as you want, all at once. Organized. I don't know if I'm alone in this, but I personally like to see the steps that are being taken when an agent is doing research to identify whether or not my prompting is adequate or if I need to make changes to provide more clarity so that the agent can do its best work. You can now do that in Clay with Claygent Navigator. They released this maybe a couple of weeks ago, but it didn't make a big splash. It should've. It's a massive upgrade from the traditional Claygent that we're all used to. While Claygent has been great for the last couple of years, Claygent Navigator unlocks the next level of agentic research at scale. It's expensive, I'll be honest, I think I paid 8 Clay credits per row. But in small volumes, it can absolutely be worth it. In this use case, we're running LinkedIn ads for one of our clients and we're looking to enrich the data as it comes in from a lead form, and send it to them in real-time via a webhook rather than the native HubSpot integration in order to facilitate speed. Something that's important to them is the size of a social media team. Identifying the size of a social media team could be done previously with a handful of columns stacked on top of each other to find information (whether it's finding jobs that exist with social media in the title, job postings, etc.). Now you can do this all with one agent in a single column with the same level of accuracy. For me, this is a massive efficiency unlock and will be using this for our clients moving forward. If you need a hand optimizing your inbound pipeline, get in touch. There's a million different workflows that we've built already, and there's no limits on what we'll be building moving forward. | 22 comments on LinkedIn

We automated 70 outbound tasks last quarter. And honestly… should've done it sooner 😅 So, here's what we learned Most outbound teams are stuck doing manual work that AI already handles better. Research, personalization, follow-ups, CRM cleanup... the list goes on And we mapped it all out: 70 Outbound Tasks AI Does Faster Than Your Team From prospecting & research to pipeline hygiene & rep coaching organized into 6 categories you can use right away Tasks that free up your team to actually sell 👉 Comment "70" and I'll send it your way. Make sure we are connected (ps. if you're curious which tasks made the biggest difference for us... it's all in there 🙌) | 688 comments on LinkedIn

I spent 1000+ hours on Clay & GTME Implementations Here are 29 lessons I wish I had known earlier: 1. You can use Clay without using credits 2. Clay can scrape local businesses 3. Clay can look up and update the CRM 4. Clay is the ultimate cold email tool 5. GTM Engineer is now one of the highest-demand jobs in tech 6. You can scrape LinkedIn posts and mentions 7. You can do account research in Clay 8. You can scrape Google News from Clay 9. Becoming a Clay expert changed my life 10. Clay is not only an outbound tool 11. Clay can analyze a company’s 10K report 12. Clay is a LinkedIn automation tool 13. You can create templates in Clay 14. Clay can navigate websites and scrape any piece of info 15. Clay can get financial data from any company 16. Clay can scrape e-commerces 17. You can enrich emails with 10+ providers in Clay 18. You can use Clay as an HR tool 19. You can track open jobs in Clay 20. You can replace many parts of the tech stack with Clay 21. You can connect webhooks in Clay 22. You can connect any API to Clay 23. Clay is an amazing cold call operations tool 24. You can manage and enrich inbound leads with Clay 25. You can build AI formulas in Clay 26. Clay is a martech and sales revolution 27. You can de-anonymize web traffic in Clay 28. Clay is not expensive 29. Subscribe to my Clay newsletter and download my book for more Enjoy! | 30 comments on LinkedIn

The modern sales funnel: Prospecting: Apollo.io, Ocean.io, TheirStack, Commsor 🦕, Hifive 🙌, Crossbeam, RB2B, Teamfluence™, Tally, Chili Piper Enrichment: Clay, Persana AI, BetterContact, BounceBan (Verify risky emails without sending messages) Engagement: Smartlead, Instantly.ai, Saleshandy, EmailBison, HeyReach, Expandi.io, GetSales, Dripify.co, Reply, lemlist, Outreach, Salesloft Sales: Senja, Deeto, Testimonial, Boast, trumpet 🎺, Paage, Valuecase, Distribute, PandaDoc, Qwilr, Proposify, Nusii Proposals S.L. | 83 comments on LinkedIn