His framework is straightforward: the more crowded the outreach landscape for a given offer, the more unique the channel needs to be, which is why a bulldozer rental company can still crush it on cold email while a web dev agency has basically no room to stand out there but can own Upwork or direct mail. On segmentation, he breaks it into two types—logical segments (target companies hiring Salesforce developers if you do Salesforce dev) and personal segments (you're an e-commerce agency and an avid mountain biker, so let's go after mountain bike brands and mention it)—both of which get you most of the personalization benefit without burning API credits or hiring writers. The campaign story that stands out most is the direct mail play: handwritten cards, personalized or joke gifts tied to a specific angle, sent to a dream 100 list, followed up by email and phone. One example was sending a branded piggy bank with a note about all the money they were about to make together. No one does it, almost no one will start doing it because it's expensive and painful, and the conversion rate is accordingly ridiculous. Michael's backstory runs through Instagram page networks in high school, a first exit before graduation, a VA agency he built in Bangladesh and sold, another VA business with an international team he also sold, and finally DFY Meetings—all four grown on cold outbound, which is exactly why the agency works. His prediction: cold email isn't dying, costs are just rising the way Google Ads and Facebook Ads costs rose before it, and the real problem isn't that more people are good at it but that more people are in it making noise without being good at it. His advice for anyone starting out: ask your first two or three clients to forward you the cold emails they receive, spend 30 minutes going through them, and just don't sound like any of those. 

Enjoy 🙂

(0:00) Introduction to Outbound Wizards 
(0:30) What DFY Meetings Does: Cold Email, Direct Mail, and Managed Upwork Applications 
(1:19) The Channel Diagnosis: Why Michael Often Talks Clients Out of Cold Email First 
(3:01) Segmentation Framework: Logical Segments vs Personal Segments 
(4:03) Best Performing Campaigns: Wholesale Printer Ink and Why Boring Offers Win on Cold Email 
(4:29) The Direct Mail Play: Handwritten Cards, Personalized Gifts, and Ridiculous Conversion Rates 
(5:44) Cold Email Cost Per Lead Is Rising—And Why Direct Mail Can Actually Be Cheaper at the High End 
(6:57) Michael's Journey: Instagram Pages in High School, Three Exits, and Landing on DFY Meetings 
(9:08) Predictions: Cold Email Won't Die, Costs Will Rise, Noise Will Increase 
(10:33) The History of Cold Email Saturation: From Manual VA Scraping to 99-Dollar Unlimited Sending 
(12:49) Advice: Ask Your Clients to Forward You the Cold Emails They Receive

🔗 CONNECT WITH MICHAEL

👥 LinkedIn
💻 Website
🎥 YouTube 

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.

Helena works on the inside—revenue operations, data systems, Power BI dashboards, and the automations that connect all the tools together—rather than on the client-facing side, which makes for a genuinely different perspective on what GTM engineering looks like when you're building infrastructure for a company that's been prospecting since 2018. The standout initiative she shares is a Croatia expansion workflow built entirely in Clay: pull hotels from Google Maps, hit a webhook that checks each hotel's website against their internal database, surface all past prospection history, run an AI agent over that context to assign priority tiers, and hand the SDR a ranked call list instead of a raw dump—so the person who picks up the phone is spending their time on the accounts most likely to convert, not the ones who never picked up across eight attempts. The insight underneath it is simple but underused: six-plus years of first-party CRM data is an asset most companies are sitting on without realizing it, and Clay is one of the better environments for finally doing something with it. Helena's path to GTM engineering is probably the most unexpected one on this show so far—she was a martial arts instructor breaking wooden boards for a living, found a revenue operations internship posting at Asksuite while studying information systems, connected the dots between coaching children through karate and designing prospection infrastructure, applied, got in, and now calls it the job she'll do for the rest of her life. More Clay cells, fewer boards. Her prediction: prospection eventually becomes a button—not yet, but close, and what genuinely excites her is that the democratization of these tools means an SDR who can't write a line of code will soon be able to run the same quality campaigns a technical GTM engineer runs today. Her advice: stay curious, keep testing tools outside your current stack, because that's exactly how Clay entered Asksuite in the first place. 

Enjoy 🙂

(0:00) Introduction to Outbound Wizards 
(0:32) What Asksuite Does: AI-Driven Automations for Hotels Worldwide 
(0:44) Helena's Role: Revenue Operations, Dashboards, and GTM Infrastructure From the Inside 
(1:37) The Croatia Expansion Workflow: Google Maps, Webhooks, Past Prospection Data, and AI Priority Tiers 
(4:57) Why First-Party CRM Data Plus Clay Is an Underused Combination 
(6:37) Helena's Journey: Martial Arts Instructor to GTM Engineer 
(8:48) Predictions: Prospection as a Button, and Why Democratization of GTM Tools Matters 
(11:41) Advice: Stay Curious, Keep Testing Outside Your Current Stack

🔗 CONNECT WITH HELENA

👥 LinkedIn 

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.

He walks through two campaigns in detail: an insurtech ABM play targeting roughly 600 European insurance companies where the team built a full signal-tracking system around leadership changes, new offices, and board movements, then sent automated emails the moment a gap appeared—and where, against conventional wisdom, longer emails outperformed short ones because that's just how insurance people want to be talked to; and a US protein brand campaign where a single SDR was spending his entire day manually building Google Maps lists and sending 20 emails, forgetting to follow up whenever a deal came in, and losing pipeline in both directions—until Viralnetix rebuilt the whole thing in Clay and Instantly, mapped every juice bar and chiropractor in the US, and got him to 2,000 emails a day with his only job now being to call back the positive replies. Danilo's origin story is one of the more entertaining ones I've heard on this show—charging his parents 10% commission on cash at age six, grinding through dropshipping and affiliate marketing failures at 14, building Instagram pages to 100k followers and selling them, launching the first version of Viralnetix as an influencer management company at 19, realizing they were sending manual PDFs for two to three hours per email with nothing to show for it, joining Jeremy at TC9, becoming a partner, burning out hard enough to spend two full months lying on the grass doing nothing, and coming back to restart Viralnetix with Jana. His prediction: Clay tables as a skill will get automated, but the experts who understand the underlying logic will get faster and better because of AI rather than redundant—and Claude Code is already worth watching as an alternative for qualifying records at a scale and cost Clay can't match. His advice: if you're non-technical, go deep on Clay and email infrastructure first; if you're technical, go straight to Claude Code; either way, do it manually by hand first so you actually understand why automating it matters. 

Enjoy 🙂

(0:00) Introduction to Outbound Wizards 
(0:28) What Viralnetix Does: Growth Partner, Not Just a Lead Gen Agency 
(1:05) Niching Into Insurtech and CPG to Escape Agency Saturation 
(3:27) InsurTech Campaign: ABM on 600 European Companies, Signal Tracking, Long Emails That Actually Worked 
(6:42) CPG Campaign: US Protein Brand, 20 Emails a Day to 2,000 a Day, SDR Now Just Closes 
(9:01) The Real Competition Isn't Other Agencies—It's the Manual SDR 
(12:20) Danilo's Journey: 10% Commission at Age Six to Burning Out as a Partner at TC9 
(16:37) Restarting Viralnetix After Two Months of Doing Absolutely Nothing 
(17:17) Predictions: Clay Tables Will Get Automated, Experts Will Survive, Claude Code Is Coming 
(20:01) Advice: Learn Clay End-to-End First, Then Upgrade to Claude Code If You Want to Go Deeper

🔗 CONNECT WITH DANILO
 
👥 LinkedIn 
💻 Website 

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.

Sarvar walks through how CBREX approaches both sides of the marketplace differently: vendors (agencies) require trust built over time before they'll commit their own resources to a platform, while clients require tight revenue and persona banding to avoid the unit economics collapse that comes from scaling without curation. His GTM journey is one of the more interesting ones I've heard—analyst shadowing a founding team with a hundred-plus years of combined recruitment experience, then customer success, then product, then marketing, then sales, until co-founder Divyashree pointed at GTM engineering and said this is what we should be doing. His prediction: in an AI-saturated world where every tool looks the same, differentiation comes down to the trust and experience you build—illustrated by an 11-month deal with a GCC leader who signed a potentially multi-million dollar annual contract without having personally used the product once. His advice for aspiring GTM engineers: understand that this is a process role, not a tools role, because tools will keep changing and the ones who survive are the ones who can implement the repeatable revenue-generating process regardless of which stack they're handed; experiment relentlessly before automating anything; and—his standout point—offer value upfront with zero expectation, because his own survey outreach to 15 people produced 5 "tell me more" replies and zero selling required. I add my own take at the end: read the classics, learn copywriting at its roots, and condition your AI the same way you'd train a junior employee—give it the Boron Letters, give it Gary Halbert, then let it write. 

Enjoy 🙂

(0:00) Introduction to Outbound Wizards 
(0:30) What CBREX Does: Talent OS for Enterprises With Complex Hiring Needs 
(2:24) GTM for Both Sides: Why Trust Comes Before Everything for Vendor Acquisition 
(4:11) ICP Discipline: Why Growing the Marketplace Too Fast Breaks the Economics 
(6:02) Sarvar's Journey: Analyst to CS to Product to Marketing to GTM Engineering 
(9:13) Predictions: In an AI-Saturated Market, Trust and Experience Are the Differentiator 
(10:03) The 11-Month Deal: Signing a Multi-Million Contract With Someone Who Never Saw the Product 
(13:09) Advice: GTM Is a Process Role, Not a Tools Role 
(14:50) Experiment Before You Automate—Automating Something Broken Just Breaks It Faster 
(16:39) Value-First Outreach: How a Survey Email Got a 33% Reply Rate With No Pitch 
(17:27) Learn Copywriting First: The Boron Letters, Gary Halbert, Mad Men 
(19:14) Most Common Outbound Mistake: Talking Too Much About Yourself

🔗 CONNECT WITH SARVAR

👥 LinkedIn 

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.

She walks us through two very different campaign types: one running 100,000+ cold emails a month targeting local businesses like dentists and lawyers, scraped from Google Maps via Clay, Applify, and Surfer Dev, enriched using website content for personalization, and generating 100-120+ positive replies per month; and another hyper-targeted ABM play where they go after just 300 accounts a week using a stack of intent signals—online, offline, and social—to surface the 25 or so that are actually worth reaching with a full multi-channel sequence across email, LinkedIn, direct mail, and WhatsApp. Soumya shares her path from organic growth and SEO at a Series B startup, through two head-of-demand-gen roles at seed-stage companies, to spotting the GTM engineering wave coming and going all-in full-time since April 2025 after her co-founder joined the Clay bootcamp. Her prediction: GTM is moving from people-driven to system-driven, with one GTM engineer supervising the entire system and one SDR handling replies—human in the loop, not human at the center. Her advice for anyone starting out: ignore the noise, get the three basics right (list, messaging, infrastructure), learn one or two tools per segment, and resist the urge to build complexity for its own sake—because your clients don't care how many tools you know, they care about meetings. 

Enjoy 🙂

(0:00) Introduction to Outbound Wizards 
(0:20) What GTM Walnut Does: GTM Engineering, Outbound, CRM, and Content 
(1:46) Client Profile: Seed to Series C B2B Companies Ready to Scale 
(2:08) Campaign 1: 100K+ Emails a Month to Local Businesses via Google Maps Scraping 
(3:43) Campaign 2: 300-Account ABM With Intent Signals and Multi-Channel Outreach 
(5:01) Soumya's Journey: SEO to Demand Gen to GTM Engineering Full-Time 
(7:51) Future Predictions: System-Driven GTM, One GTM Engineer, Human in the Loop 
(10:08) Advice: Get the Basics Right, Learn Two Tools Per Segment, Keep It Simple 
(12:11) Why Simplicity Serves the Client Better Than Complexity Ever Will

🔗 CONNECT WITH SOUMYA

👥 LinkedIn 
💻 Website 
📧 Email - soumya@gtmwalnut.ai

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.

We explore two campaigns: a Bali villa real estate campaign where they scraped relevant Facebook groups and LinkedIn to build a hyper-targeted list, ran a webinar funnel via cold email, booked 350 attendees, and sold the villa; and a Latvian financing company campaign where basic industry and job title filters across a 2,000-company TAM produced 150 leads per month—effectively reaching nearly 10% of the entire market every single month. Gerda's consistent observation: the most effective campaigns are almost always the simplest ones, and over-engineering with Clay enrichments and complex personalization introduces more failure points than value. Her prediction: the real winners going forward will be the ones who learn when not to automate—because if everything is automated, people notice and it starts to feel cold. Gerda shares her path from arts and culture studies to door-to-door sales in the US, to freelance copywriting for coaches and online businesses, to joining V-Design as a project manager before discovering cold email when her Estonian team started experimenting and nobody in Latvia was doing it—building the whole thing herself while living the digital nomad lifestyle across six months of travel and six months of Latvian summers. Her advice: understand your numbers—emails to reply, replies to lead, leads to meeting—because once you know the ratios, cold email becomes predictable and scalable. 

Enjoy 🙂

(00:00) Introduction to Outbound Wizards 
(00:21) What Leadprinter Does: End-to-End Cold Email With a 20-Lead Guarantee 
(01:40) The Refund Model: Extensions First, Refunds Only if Still Short After 60 Days 
(02:51) Bali Villa Campaign: Facebook Groups, LinkedIn Scraping, Webinar Funnel, 350 Attendees 
(04:00) Latvian Financing Campaign: 150 Leads a Month From a 2,000-Company TAM 
(04:37) Simple Always Beats Complex: Fundamentals Over Fancy Clay Tables 
(05:28) Gerda's Journey: Arts Student to Door-to-Door Sales to Copywriter to Cold Email 
(07:34) Building the Whole System Herself While Traveling as a Digital Nomad 
(08:44) Future Predictions: The Winners Will Know When NOT to Automate 
(10:44) Copywriting Background as the Secret Weapon in Cold Email 
(13:27) Advice: Understand Your Numbers—It's a Predictable, Scalable Numbers Game

🔗 CONNECT WITH GERDA

👥 LinkedIn
💻 Website

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.

We explore Jan's growth hacking philosophy: maximum output from minimum input, finding blue ocean opportunities, and testing constantly rather than following conventional playbooks. He shares two legendary growth hacks from his past—reading a Norwegian financial newspaper one morning, realizing a new law would force all financial institutions to report transactions above $500, cold calling the CTO of the financial authority to pitch a solution he hadn't built yet, getting the meeting, building it for free, then locking every financial institution in Norway into buying certificates from his company for the next 15+ years; and turning a failing 10-person SSL certificate sales team into 400 consultants selling their white-label click-through solution across Norway's biggest IT consultancies, capturing the entire Norwegian SSL market in 18 months. His prediction: consultants are dead—AI handles strategy, automation handles implementation, and the only remaining edge is creativity. Jan shares his path from direct sales at Shell to being headhunted to build tech sales organizations, to discovering that combining sales psychology with developer resources beats hiring more salespeople every time. His advice: never quit, treat every failure as a gift that adds 10% here and 20% there until you reach 100%, and protect your creativity above everything else. 

Enjoy 🙂

(00:00) Introduction to Outbound Wizards 
(00:20) What VojVoj Does: Replacing the Like Button With Real Currency 
(01:33) Why Quality Beats Quantity: How the Algorithm Actually Works 
(03:43) Growth Hacking as a Mindset: Maximum Output, Minimum Input 
(05:00) Norwegian Financial Authority Story: Cold Calling a CTO Before the Solution Existed 
(07:03) Locking an Entire Country's Financial Institutions Into 15 Years of Certificates 
(07:46) AI Handles Strategy, Automation Handles Implementation: Consultants Are Dead 
(08:08) Jan's Journey: Direct Sales at Shell to SSL White-Label Growth Hack 
(09:25) Capturing the Entire Norwegian SSL Market in 18 Months With 400 Consultants 
(11:43) Building the Creator Monetization System That Became VojVoj 
(12:25) Advice: Never Quit, Treat Failure as a Gift, Protect Your Creativity

🔗 CONNECT WITH JAN

👥 LinkedIn 
🎙️ Podcast 

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.

We explore his most engineering-heavy campaign: building a full LinkedIn outbound system for a client targeting US government contractors, pulling the raw company list from the USAspending database (40-50 years of government contracting history), chunking it down in Clay by contractor type, contract size, and fit, then routing each segment to specific SDRs by region with their own localized LinkedIn campaigns—all wired into a single play table that took serious head-banging to get right. He also shares his most honest story: the first fully automated LinkedIn campaign he built, which he was convinced would make him a millionaire, getting zero replies, zero opens, zero everything—and treating that devastation like going to the gym, showing up again, failing again, and building the resilience muscle that eventually made him good. His insight: AI only amplifies what you already know—if you're on the right path it gets you there faster, if not it just makes you confused faster. Felipe shares his path from call center employee in Costa Rica to selling oil for Chevron Phillips and JLL, to e-sales where he initially sucked at cold calling and then became top SDR two years running, to meeting Anthony from Mission Inbox and seeing outbound at scale for the first time, to head of ops at Outreach Engine and VP of ops at TrueDial. His advice: always be aware of how much you don't know, because you're only limited by your capacity to learn those things—but you have to first understand what those things are. 

Enjoy 🙂

(00:00) Introduction to Outbound Wizards 
(00:20) What Outreach Engine Does: GTM Systems That Go Beyond Cold Email 
(01:47) Why Systems Thinking Is Now Essential, Not Just Nice to Have 
(02:37) Government Contractor Campaign: USAspending Database to Localized SDR LinkedIn Campaigns 
(05:12) The Engineering Complexity of Classifying 50,000 Rows Without Hallucinations 
(06:01) The Zero-Reply Campaign That Almost Made Felipe Quit and What He Did Instead 
(07:09) Treating Failure Like Going to the Gym: The Resilience Muscle 
(07:41) Felipe's Journey: Call Center in Costa Rica to Top SDR to Head of Ops 
(09:13) Jumping Into the AI Bandwagon in 2024 and Watching the Career Explode 
(10:03) Chaos Is a Ladder: Why Fast Career Rises Require Big Disruption 
(11:09) AI Amplifies What You Already Know—It Doesn't Replace the Foundation 
(11:46) Advice: Know What You Don't Know, Because That's Your Only Limit

🔗 CONNECT WITH FELIPE

👥 LinkedIn
🏢 LinkedIn - Outreach Engine 

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.

We explore his most interesting campaign: a high-end skincare brand with millions of YouTube subscribers but low sales, where the core problem wasn't the product or the platform—it was targeting the wrong geography entirely, spending money reaching cities where the price point would never convert. Sahil diagnosed their ICP (18-25 year olds in high-income urban areas), caught signals from YouTube comments, X, and Reddit, enriched and centralized using Clay, then ran a three-channel outreach strategy—WhatsApp marketing first (because high-net-worth buyers don't check cold email), LinkedIn ads second, and email third—resulting in a 45% increase in sales. His philosophy throughout: GTM is not Clay, Clay is just the enrichment and CRM layer—the real work is understanding the market and catching signals before you ever touch a tool. His prediction: the data layer will keep getting easier to access, but the people who win will be the ones who can interpret data and understand which segment they're going after—not the ones who outsource all thinking to ChatGPT before even sitting with the problem. Sahil shares his path from engineering and freelance web development, to automation, to GTM—triggered by a Gurgaon founder who had all the data but didn't know how to reach anyone with it. His advice: research the problem and the niche before jumping to solutions, use tools to increase efficiency but never become dependent on them, and don't personalize everything with AI. 

Enjoy 🙂

(00:00) Introduction to Outbound Wizards 
(00:20) What Dwary Intech Does: GTM for AI SaaS and Product-Based Startups 
(01:07) Why AI SaaS Is the Right Niche: Engineers Who Understand Revenue 
(02:29) Skincare Brand Campaign: Millions of Subscribers, Low Sales, Wrong Geography 
(04:05) Catching Signals From YouTube Comments, X, and Reddit Before Touching Clay 
(05:47) Three-Channel Outreach: WhatsApp First, LinkedIn Ads Second, Email Third 
(07:35) GTM Is Not Clay: Research and Signal-Catching Come First 
(07:39) Sahil's Journey: Engineering to Web Dev to Automation to GTM 
(09:15) The Gurgaon Founder Who Had Data but Couldn't Reach Anyone 
(10:03) Future Predictions: Data Gets Easier, Interpretation Becomes the Real Skill 
(11:35) The AI Thinking Problem: If You Don't Sit With the Problem First, You're Just Chatting 
(13:14) Advice: Research First, Use Tools as Tools, Don't Personalize Everything With AI

🔗 CONNECT WITH KUMAR

👥 LinkedIn 

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.

We explore the student demographics: not just RevOps professionals upskilling, but dentists, veterinarians, and an ex-yacht captain who decided sailing was done and GTM engineering was next. Tanay shares his most impactful Clay build: a company research workflow that takes just a domain, runs deep analysis through Perplexity for signals (hiring, fundraising, PR, media), cross-references the vendor's own services and offerings, identifies the perceived pain intersection, and delivers SDRs a rich briefing document with email hooks, subject lines, and conversation starters—all for about $1 per run, saving hundreds of hours on high-value accounts. He also shares a mid-funnel use case: when a prospect fills their email into a live chat on a pricing page, Clay enriches their company in real time and pings the SDR or AE in Slack if it's a unicorn prospect—cutting wait times from 48 hours to seconds. His prediction: MCP adoption will change everything (once he actually figured them out, they stopped being overhyped), and browser use agents improving at a ridiculous rate means any action a human can take online, an AI can replicate and do faster. Tanay shares his path from automating himself out of a job at Accenture in 2011 to discovering Clay at the intersection of GTM and AI and realizing this was the cutting edge worth living on. Saurav also shares SalesRobot's upcoming expert clone feature—AI built in the image of real GTM experts so small businesses get just-in-time access to expertise at a fraction of the cost. 

Enjoy 🙂

(00:00) Introduction to Outbound Wizards 
(00:22) What Clay Bootcamp Does: Accelerating People Into GTM Engineering 
(01:30) Who the Students Are: Dentists, Vets, an Ex-Yacht Captain, and RevOps Pros 
(02:52) The Two-Week Plus Six-Week Coaching Model: Build a Real Project, Earn While You Learn 
(05:15) Clay Beyond Cold Email: Mid-Funnel Pricing Page Flow That Pings SDRs in Real Time 
(08:30) The Most Impactful Clay Build: Domain In, Full Research Report and Email Hooks Out for $1 
(11:03) Simple Scales, Complex Fails: Why the Best Clay Tables Aren't the Most Complex 
(13:00) Tanay's Journey: Automating His Accenture Job in 2011 to Clay Bootcamp Coach 
(14:36) Future Predictions: MCP Adoption Changes Everything, Browser Use Agents Are Almost Human 
(17:03) Anything a Human Can Access Online Will Get Scraped: The New Reality 
(18:04) SalesRobot's Expert Clone Vision: GTM Expertise Democratized at Scale

🔗 CONNECT WITH TANAY

👥 LinkedIn 
💻 Website 

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.

We explore his investment fund campaign that generated 600 opportunities in two months: targeting wealthy founders and CEOs with investing power, leading with big-name social proof, keeping copy razor short, and instead of asking for a call, asking if they'd like a one-pager—because people with that level of wealth protect their time, and a low-friction next step is what gets the reply. He also shares his meta-learning approach: when he gets outreached effectively himself, he reverse-engineers the tactic and adds it to his playbook—including the ego massage play that got him on a call by calling him an expert and asking for his thoughts. His prediction: GTM engineering is still in its early innings, results have actually gotten better each year since he started in 2021-22, and the people who document their winning campaigns into proper playbooks will have a compounding advantage over those who keep everything in their heads. David shares his path from waiter in a small Macedonian town to Upwork, to a startup where he learned lead gen fundamentals, to head of influencer marketing, to an email marketing agency in Skopje, to three months of traveling and studying psychology to decompress—then joining Instantly. His advice: document every winning campaign into a playbook, be unorthodox (pineapple on pizza in the follow-up, offering to stop by the office for coffee), and never be afraid to try something that sounds weird—because templates get recognized, but unique always gets noticed. 

Enjoy 🙂

(00:00) Introduction to Outbound Wizards 
(00:20) What a GTM Engineer at Instantly Does: Strategy, Offer, Campaign, Optimize 
(02:01) Offer Over Personalization: Why Knowing Too Much Can Feel Creepy 
(03:44) Investment Fund Campaign: 600 Opportunities in Two Months With a One-Line Ask 
(07:09) The Ego Massage Play: How Getting Outreached Well Became a Playbook 
(09:00) Overturning a Broken Campaign: The Inside Success That Matters Most 
(11:23) David's Journey: Waiter at 16 to Upwork to Instantly Via Influencer Marketing and Email Agencies 
(15:01) Three Months Traveling to Decompress and Study Psychology Before Joining Instantly 
(17:16) Future Predictions: Results Are Actually Getting Better Each Year Since 2021 
(19:24) Obstacles Are Opportunities: Spam Filters Are Just the Next Thing to Solve 
(19:28) Advice: Document Everything Into Playbooks, Be Unorthodox, Try Anything Once

🔗 CONNECT WITH DAVID

👥 LinkedIn 

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

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We explore how Kale generates 250 positive replies a week for their top clients by sending around 30,000 emails weekly, then maps every reply through sentiment analysis directly into the client's CRM so the sales team has full visibility—qualified leads, booked calls, and pipeline all in one place rather than isolated systems. He also shares their unique sales approach: running anonymized outbound on behalf of prospects during the sales cycle itself, proving the system works before asking for a signature. And for their longest-running client, the engagement went from zero BD function to a team of 10 with a newly hired SDR manager—built from scratch over a year together. Roshan also breaks down the local business niche advantage: you're talking to an owner, not five layers of procurement, so sales cycles are short and decisions happen fast. His prediction: they're now actively scaling new client acquisition after years of product-first growth, running the Clay Toronto community, and building a system that retains clients well past the industry average of three to six months. Roshan shares his path from engineering at University of Ottawa to calling his co-founder Mike right as Mike was about to quit his job—20 minutes after his manager conversation—and together building an engineer-first approach to outbound that treats sales as a system problem, not a headcount problem. 

Enjoy 🙂

(00:00) Introduction to Outbound Wizards 
(00:22) What Kale Acquisition Does: Cold Email for Local Business Sellers 
(01:00) Origin Story: Two Engineers from Ottawa Building Sales Systems 
(04:00) How the Local Business Niche Happened Organically Through Clay Expert Inbound 
(07:08) First 30-60-90 Days: Kickoff, Weekly Calls, Anonymous POC Campaigns 
(09:25) 250 Positive Replies a Week: The Scale of What They're Running 
(12:15) Integrating Into the CRM: Sentiment Analysis, Reply Routing, and Full Funnel Visibility 
(13:34) From Zero BD Team to 10 Reps: What a True Growth Partnership Looks Like 
(15:51) Roshan's Journey: Engineering Mindset Meets Sales, Learning You Can't Sell to Someone Who Doesn't Want It 
(18:40) The API Story: How Roshan's Question Pushed SalesRobot's API Direction 
(19:19) Future: Scaling New Client Acquisition After Years of Product-First Growth

🔗 CONNECT WITH ROSHAN

👥 LinkedIn 
🌐 Clay Experts Page 

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.

We explore his content-chats-conversions flywheel and a recent client story that says it all: a creator with 50,000 followers who already had most of the pieces in place but not aligned—once Stijn synchronized content, DM strategy, and funnels, the client did $27,500 in the first 24 hours and booked 90 sales calls in three weeks. The car needed four wheels pointing the same direction, not three. His prediction for LinkedIn: the platform is splitting into two camps—fully human and authentic (voice notes, personal stories, offline connection) versus fully AI-automated—and because LinkedIn is connection-driven rather than follower-driven like Instagram, he suspects the human camp will win there. Stijn shares his journey from a 14-year-old making $1-2 per Photoshop design for gaming teams on Twitter during a sleepover, to marketing studies, to building landing pages and ads, to posting on LinkedIn at 20 and discovering that the same creative instinct that made him design Twitter banners could generate real revenue if pointed at the right system—now running a five-person team growing month over month with 3,000 enriched LinkedIn posts and hundreds of lead magnets stored in a vector database. His advice by follower tier: zero followers, do free work first and tie it to a specific result; 1K-3K followers, give away scalable assets but always attach a concrete outcome to them; 10K+ followers, build the backend CRM scoring system and start reaching out based on intent. 

Enjoy 🙂

(00:00) Introduction to Outbound Wizards 
(00:19) What Course Launcher Does: Converting LinkedIn Attention Into Revenue 
(01:22) Client Story: $27,500 in 24 Hours and 90 Sales Calls in Three Weeks 
(02:07) The Four-Wheel Car Analogy: Why Alignment Beats Adding More Pieces 
(03:42) Stijn's Journey: Photoshop at 14, Gaming Team Designs, First Dollar on Twitter 
(05:27) Marketing Studies, Landing Pages, and Discovering LinkedIn at 20 
(06:27) Finding the Niche: Productizing the Offer and Getting First Viral Post Two Years Ago 
(08:04) One Platform, One Offer, Deep Specialization: The Growth Formula 
(08:48) Future Predictions: LinkedIn Splits Into Human-First vs AI-Automated Camps 
(09:53) Building a Vector Database of 3,000 Posts and Hundreds of Lead Magnets 
(10:35) Advice by Follower Tier: Free Work First, Then Scalable Value, Then CRM Scoring

🔗 CONNECT WITH STIJN

👥 LinkedIn 
🎥 YouTube 

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.

We explore his core philosophy: AI is a maximizer, not a foundation—you need solid business fundamentals, a clear ICP, a differentiated offer, and simple communication first, and only then does AI actually amplify results instead of amplifying confusion. He also shares his approach to service-based offers: give away 5% of the process for free as a no-brainer lead magnet, so the prospect experiences your quality and thinks "if they did this much for free, imagine what the other 95% looks like." His prediction: teams will get dramatically smaller while revenue goes up—billion-dollar companies with two or three people is not far off, and we're already seeing early signals with companies like Shopify growing 50% while cutting headcount. Sergio shares his path from top-performing B2C appointment setter for e-commerce coaches, to moving into biotech and scientific animation in B2B, to spending three years building out a full-funnel GTM system for one client before discovering Clay through that same client and using Claygent to pull clinical trial data for biotech prospects—the moment that made him go all in. His advice: learn business and economics first, then find the AI tools that execute those fundamentals better—because clients don't pay for someone who knows a piece of software, they pay for someone who understands the whole funnel and can deliver real revenue. 

Enjoy 🙂

(00:00) Introduction to Outbound Wizards 
(00:21) What Boost Hero Does: Revenue Engineering for B2B Companies 
(01:27) Client Segments: SaaS, Travel Tech, Scientific Animation 
(02:00) No-Brainer Free Offers: Give Away 5% to Earn the Other 95% 
(03:19) AI as a Maximizer, Not a Foundation: Fundamentals First Always 
(05:20) Sergio's Journey: B2C Appointment Setting to B2B Biotech GTM 
(06:36) Discovering Clay Through a Client and Using Claygent for Clinical Trial Data 
(07:56) The Aha Moment: When Clay Finds in Seconds What Took BAs Hours 
(09:00) Future Predictions: Billion-Dollar Companies With Two or Three People 
(10:08) Shopify's 50% Revenue Growth While Cutting 2,000 People: Early Signal 
(11:16) Advice: Learn Business and Economics First, Then Layer in the Tools

🔗 CONNECT WITH SERGIO

👥 LinkedIn
💻 Website 

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.

We explore his "rhythm system" approach to GTM—structuring the entire funnel around a predictable weekly cadence where Monday is qualification, Wednesday is nurture, and Friday is re-engagement, so sales, ops, and marketing all move like a metronome instead of reacting to chaos. He also shares how he built Clay to treat lead data as a living thing—automatically re-prioritizing leads in the CRM when they changed jobs, raised funding, or appeared on a podcast—so the team was always having timely conversations instead of chasing cold lists. On cold email philosophy: don't give everything in the first message, open with a genuine question that shows you understand their current reality, and use the KPI of opens (not just sends) to identify the nine people out of fifty worth a high-quality human follow-up. His prediction: GTM engineering moves from automation to intelligence—not more volume but more contextual timing, from one rigid playbook to modular micro-GTMs for enterprise, partnerships, and regional growth that can flex quickly. Daniel shares his path from call centers at Verizon in 2012, to property management, to near-shore staffing at Astonish where he connected Apollo, Clay, and internal CRMs into end-to-end GTM frameworks, eventually realizing there was an actual title for what he'd been doing all along. 

Enjoy 🙂

(00:00) Introduction to Outbound Wizards 
(00:21) What GTM Engineering Really Is: Fixing the Handoffs Between Sales, Ops, and CS 
(02:00) The Rhythm System: Monday Qualify, Wednesday Nurture, Friday Re-Engage 
(05:00) Treating Lead Data as a Living Thing: Auto-Prioritizing on Job Changes and Funding 
(06:51) Cold Email Philosophy: Open With a Question, Not a USP 
(08:14) Using Opens as the Key KPI to Decide Who Gets High-Quality Human Follow-Up 
(10:36) DISC Personality Analysis and Tailoring Email Style to the Reader 
(12:53) Daniel's Journey: Verizon Call Centers in 2012 to GTM Engineer 
(15:06) Property Management and the First Taste of Systemized GTM Flow 
(17:27) Connecting Apollo, Clay, and CRMs at Astonish: When the Title Finally Made Sense 
(20:50) Future Predictions: From Automation to Intelligence, From Volume to Timing and Trust 
(22:15) Modular Micro-GTMs: One Playbook Is Becoming Many Flexible Systems

🔗 CONNECT WITH DANIEL

👥 LinkedIn 

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.

We explore Omar's philosophy on personalization: use Clay and AI for research—college background, industry, company stage, market share, growth signals, family vs. corporate business—but write the message yourself, because AI-generated copy at this level is immediately spotted and the cultural nuance of speaking to a Harvard-trained finance executive versus a technology-school founder versus a GCC business owner requires a human touch that LLMs consistently miss. He also shares his channel strategy: LinkedIn and email only in Europe due to GDPR, but in the GCC, cold calls and WhatsApp outreach work extremely well because decision makers run their businesses on WhatsApp—sending around 100-140 targeted outreaches per week across both regions. His contrarian prediction: AI in GTM is a bubble similar to the dot-com era—real value will emerge but the hype is disproportionate to the investment, tool costs will eventually exceed product value, and the cycle will reset back to mindset and strategy as the actual differentiator. Omar shares his path as a double-major biomedical and systems engineering student, from knowing nothing about lead generation to an internship at Voyance Health where a mentor taught him the full SDR process, to a cloud engineering stint, to joining Flexcode as a hybrid SDR-marketer-technical-implementer who now contributes to both selling and building Odoo itself. 

Enjoy 🙂

(00:00) Introduction to Outbound Wizards 
(00:21) What Flexcode Does: Odoo Partner Across Europe and the GCC 
(01:29) Why Pre-Outreach Research Is Triple the Work of the Outreach Itself 
(02:12) Using Clay for Research, Writing Messages Yourself: Why AI Copy Fails at C-Suite Level 
(03:31) Personalizing by College Background, Culture, Company Stage, and Market Position 
(06:26) Follow-Up Is Where Sales Actually Happen: Be Thick-Skinned and Keep Going 
(08:17) Channel Strategy: LinkedIn and Email in Europe, WhatsApp and Cold Calls in GCC 
(09:47) Omar's Journey: Biomedical Engineering Student to Hybrid GTM and Odoo Implementer 
(12:38) Why Building and Selling the Same Product Sharpens Your GTM Thinking 
(13:00) Future Prediction: AI in GTM Is a Bubble, Mindset and Strategy Will Always Win

🔗 CONNECT WITH OMAR

👥 LinkedIn 

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.

We explore Mike's philosophy on agency retention: the agencies that churn clients in three months are the ones who stop at reply rates, while the ones that stick around for years are the ones who can show attributable closed revenue—making it a question of "do you want to pay us $10K a month or lose $1M a year?" He also shares how a client that started at $5K a month is now paying $21K, purely because they crushed the first initiative and earned trust to expand. His take on local business outbound: there are no signals like there are in B2B SaaS, so cold email creates the signal rather than capturing it—and with 33 million SMBs in the US largely ignored by Silicon Valley, the TAM is enormous and far less saturated. His prediction: distribution and brand within a niche will matter more than Clay skills, deliverability will become even more of a pay-to-play game, and cold email won't die—it'll just keep getting harder for people who aren't serious about infrastructure. Mike shares his path from electrical engineering to summer house painting where he fell in love with sales, to BDR at a SaaS company that went from $500K to $10M ARR largely through cold email, to co-founding Kale with Roshan and being early Clay experts before the expert program even properly existed. His advice: work at an agency first if you're starting from zero—you'll get best practices, vendor relationships, and brand leverage faster than wandering in the dark. 

Enjoy 🙂

(00:00) Introduction to Outbound Wizards 
(00:21) What Kale Acquisition Does: Cold Email Systems for Local Business Sellers 
(01:09) From Electrical Engineering to BDR at a $500K to $10M ARR SaaS Company 
(03:07) Being Early Clay Experts and Finding the Local Business Niche 
(03:44) $1.5M in Closed Revenue: Why Results Come From Offer Clarity, Not Clay Complexity 
(05:10) Stay Inside the Revenue Conversation: The Retention Secret Most Agencies Miss 
(06:53) $5K to $21K a Month: What Expansion Looks Like When You Earn Trust 
(08:37) Local Business TAM: Creating Signal Instead of Capturing It 
(09:18) 33 Million SMBs Ignored by Silicon Valley: The Unsaturated Opportunity 
(10:52) Deliverability Is the Most Important Thing Nobody Talks About Enough 
(14:49) Future Predictions: Brand and Distribution Win, Cold Email Gets Harder But Never Dies 
(18:14) Advice: Work at an Agency First, Build Relationships Before Going Solo

🔗 CONNECT WITH MIKE

💻 Website 
👥 LinkedIn 

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.

We explore a real example where a Zapier automation was completely falling apart because the product was sending clean domain strings while the CRM data had www, HTTPS, and query params attached, meaning there was no shared key to join on across 437,000 records—a problem Axon fixed in hours. Jordan's analogy: putting olive oil in a Ferrari. The GTM engineer is the Ferrari, but if the fuel going in is dirty data, nothing moves. His prediction: GTM engineers are more important than ever as contact data gets commoditized and companies need people who know how to activate it—and right now is the window to build serious infrastructure using relatively cheap AI tools before those tools get expensive as dependency on them grows. Jordan shares his path as the first RevOps hire at Gorgias, scaling from $10M to $70M ARR, watching CRM cleanup slowly eat his entire job as automations multiplied and data quality became the single biggest blocker to growth—quitting to start a RevOps agency, immediately hitting the same wall at his first client, and realizing the problem was unavoidable wherever GTM automation existed, so he built Axon to solve it. 

Enjoy 🙂

(00:00) Introduction to Outbound Wizards 
(00:21) What Axon Does: CRM Observability and Automatic Data Cleanup for HubSpot 
(02:01) Real Example: 437,000 Records Fixed After a Domain Mismatch Broke All Automations 
(04:09) The Ferrari Analogy: GTM Engineers Need Clean Fuel or Nothing Moves 
(05:36) Onboarding Process: Two-Minute Form, One-Hour Analysis, Same-Day Portal Access 
(07:14) Jordan's Journey: First RevOps Hire at Gorgias, $10M to $70M ARR 
(08:51) How CRM Cleanup Slowly Ate His Entire Job as Automations Multiplied 
(09:17) Quitting to Start a RevOps Agency, Hitting the Same Wall at Client One 
(10:06) Building Axon After Realizing the Problem Was Unavoidable Everywhere 
(12:49) Future Predictions: GTM Engineers Are Most Valuable Right Now, AI Window Is Open 
(15:00) The Human Detection Problem: AI Spam Whiplash and Why Human Voice Still Matters

🔗 CONNECT WITH JORDAN
 
💻 Website 
👥 LinkedIn

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.

We explore his contrarian take on cold email: for Temu, he uses zero Clay, zero personalization, because when the offer is strong enough and the brand is known, relevance beats personalization every time—and irrelevant personalization ("I saw you went to Stanford") is worse than no personalization at all. He also makes the case that the industry is splitting in two directions—fully AI-automated and back-to-human writing—and that anyone who talks to AI daily can spot AI copy instantly, especially agency owners. Johannes shares his rock-bottom origin story: losing his cryo spa, his girlfriend, his car, and his flat, moving into a friend's pool house in Marbella, copy-pasting 50 emails a day before discovering SalesHandy, eventually sending 1,000 emails a day from two mailboxes in the wild west era, booking 250-300 attendees for a high-end e-com convention, and stumbling into the Allegro relationship through a chain of connections that led to becoming a Smartlead founding partner. His most direct advice: from 10k to 100k, the only difference is mindset and implementation—skills get you to 15k, but past that, if you're not doing the things that actually move the needle (cold email, LinkedIn DMs, posting content) because you're afraid of rejection or visibility, no tool will save you. 

Enjoy 🙂

(00:00) Introduction to Outbound Wizards 
(00:22) What Rocksolidleadgeneration Does: E-Commerce Marketplace Specialization 
(01:03) Allegro Case Study: 39 Meetings in Six Weeks, 67 Sellers in Three Months 
(03:06) How Johannes Stumbled Into the E-Com Niche From Rock Bottom in Marbella 
(05:30) The Wild West Era: 1,000 Emails a Day From Two Mailboxes, Booking 250 Convention Attendees 
(07:33) Relevance vs Personalization: Why Temu Needs Zero Clay 
(09:33) The Industry Split: Fully AI vs Back-to-Human Writing 
(11:38) Offer Is King: If the Brand Is Known, Drop the Personalization Gimmicks 
(12:48) Multi-Channel Take: 1,000 Cold Emails Plus 20 LinkedIn DMs a Day Plus Daily Posts 
(14:15) The Mindset Gap: Why 10k to 100k Is Not a Skills Problem 
(15:29) Implementation Over Information: Same Courses, Same Coaches, Different Results

🔗 CONNECT WITH JOHANNES

👥 LinkedIn 
🎥 YouTube 
💻 Website 

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.

We explore his core thesis that nobody talks about enough: your offer has to be designed for cold traffic specifically, because the know-like-trust that makes referral and inbound offers work simply doesn't exist when you're reaching a stranger—and he illustrates this with a client running a pay-per-lead model for small businesses that was pulling 12-15% reply rates and 80 meetings a week just by removing ad spend friction from the equation entirely. He also shares the Wall Street data client who closed $40K deals over email without a single call, just by adding "200K LinkedIn followers" to his signature and using direct, no-fluff language suited to institutional buyers—showing how verbiage and positioning shift completely depending on how upmarket you go. Nate shares his thoughts on where cold email infrastructure is heading: data becoming a flat-rate commodity rather than per-row pricing, intent data platforms letting companies identify and reach website visitors by name and net worth, and AI lowering the barrier to entry across the whole stack. His path: started running ads for chiropractors and HVAC companies, spent seven figures in ad spend young, got mentored by his partner Ben on retention over quick money, and evolved into email infrastructure and B2B data tooling. His advice woven throughout: optimize every stage of the funnel, not just output—and if reply rates are low, send 100 times more before blaming the channel. 

Enjoy 🙂

(00:00) Introduction to Outbound Wizards 
(00:21) What Inbox Accelerator Does: Free Infrastructure Setup, Affiliate-Based Revenue Model 
(05:24) Designing Offers for Cold Traffic: The One Thing Most Marketers Get Wrong 
(07:00) Wall Street Client: $40K Deals Closed Over Email, No Calls, LinkedIn Credibility in Signature 
(09:10) Soft CTAs Beat Calendar Links: Optimize Every Stage of the Funnel 
(14:55) Pay-Per-Lead Client: 12-15% Reply Rates and 80 Meetings a Week 
(17:12) Google vs Microsoft vs Private SMTP: Why the Big Agencies Always Use the Big Two 
(19:27) Nate's Journey: Running Ads for Local Businesses to Email Infrastructure and B2B Data 
(23:31) Future Predictions: Flat-Rate Data, Intent Platforms, Website Visitor Identification 
(26:07) First-Party Data Independence: Knowing Who Visited Your Site and Reaching Them Directly

🔗 CONNECT WITH NATE

💻 Website 
🌐 RetargetIQ 
👥 Instantly Partner Page

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.

We explore his full pre-event workflow: segmenting attendees by industry and business model using ChatGPT before touching Clay, scraping deep company profiles with a 700-800 word output per company, running a matching prompt that compares each company against Postindustria's full portfolio and case studies to score them as high match, medium match, or disqualified, then generating three custom service offers per company based on what they'd actually benefit from—all before a single word of copy is written. Nik also shares his copywriting philosophy: give LLMs a strict structure with mandatory sentences, bullet point formats, word limits, and reading level constraints, then let AI fill only the creative variables—because too much freedom produces robotic output, while tight structure produces something that sounds human. He also shares an earlier campaign for a Martech client targeting US home builders, where he scraped the names of housing projects currently under development and opened outreach with "we were driving by and saw your project"—a hyper-local personalization angle that got genuinely interesting replies. Nik shares his path from zero outbound experience landing an SDR role at LitLink after applying on a Ukrainian job board on a whim, to discovering Clay at a small agency where he was the third hire, learning waterfalls, enrichment, and API-based personalization from scratch. 

Enjoy 🙂

(00:00) Introduction to Outbound Wizards 
(00:21) What Postindustria Does: Custom Software Development Across Multiple Domains 
(02:00) 75 On-Site Meetings in One Month: How the Event Strategy Was Born 
(04:05) Pre-Event Workflow: Segmenting Attendees Before Touching Clay 
(06:30) Deep Company Research: 700-Word Profiles, Portfolio Matching, and ICP Scoring 
(09:15) Generating Three Custom Service Offers Per Company Based on Their Stack 
(12:00) Copywriting Philosophy: Strict Structure Plus AI Creativity Within Constraints 
(15:16) Home Builder Campaign: Scraping Project Names to Fake a Drive-By 
(18:28) Nik's Journey: Zero Outbound Experience to SDR at LitLink to Clay Agency 
(20:15) Discovering Clay and Learning Waterfalls, Enrichment, and API Personalization

🔗 CONNECT WITH NIK

👥 LinkedIn 

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.

We explore his highest-ROI win: not more pipeline, but faster lead routing—building an automated system that pushed positive replies straight to Slack with full enrichment context, so the SDR could call within 10 seconds instead of hours later when the lead had gone cold, taking meeting conversion from 1-in-4 replies to 20-30%. He also shares his approach for a client with only 1-2K accounts: year-round air cover across the decision maker ecosystem so cold outreach never lands out of the blue, automated job change signals triggering enriched SDR briefings with full company context and a draft email, and a dormant lead reactivation sequence pulling from call transcripts that brought back 20% of ghosted leads. His prediction: every SaaS company builds outbound in-house within two to three years, and deliverability skills become the quiet differentiator nobody talks about enough. Sahil shares his path from entrepreneur-with-no-sales-skills to B2B SaaS sales roles, to discovering Clay when there was barely any content about it, spending six months studying during his wife's pregnancy, and landing his first inbound client right after his daughter was born. His advice: don't get intimidated by the top 1%—focus on low-hanging fruit like lead routing first, and build from there. 

Enjoy 🙂

(00:00) Introduction to Outbound Wizards 
(00:21) What a Fractional GTM Engineer Does for Small TAM Clients 
(02:00) Highest ROI Win: Automated Lead Routing Cutting Response Time to 10 Seconds 
(03:45) 1-2K TAM Strategy: Year-Round Air Cover, Job Change Signals, SDR Briefings 
(06:33) Dormant Lead Reactivation From Call Transcripts: 20% Came Back 
(09:23) Sahil's Journey: Entrepreneur Bug to B2B Sales to Discovering Clay With No Content About It 
(11:05) Six Months Studying During Wife's Pregnancy, First Client After Daughter Was Born 
(13:18) Future Predictions: Every SaaS Company Builds Outbound In-House Within 2-3 Years 
(14:19) Advice: Don't Aim at the Top 1%, Focus on Low-Hanging Fruit Like Lead Routing First

🔗 CONNECT WITH SAHIL

👥 LinkedIn 

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.

We explore his campaign for a seasonal product supplier targeting boutique shops, where paid social wasn't viable because the audience skews older and offline—so he scraped businesses using OpenMart (his first time), ran a Clay agent to compare each prospect's inventory against his client's catalog, identified the gaps, and built outreach around "we can get these missing products to you in seven days"—hitting 8% reply rate on 400 emails. He also shares a bad story: forgetting to turn off Clay's auto-update after an enrichment run and watching a thousand credits disappear overnight. His prediction: GTM engineering splits into strategists and executioners, and the differentiator won't be tool knowledge but social listening and domain depth—because everyone has the same Clay table, it's what you do with it that matters. Terhile shares his path from a decade in tech project leadership, to discovering Clay via a lemlist-to-ColdIQ-to-Clay rabbit hole, building tables every day since. His advice: figure out if you're a strategist or executioner first, learn scraping and enrichment principles before tools, and don't skip copywriting. 

Enjoy 🙂

(00:00) Introduction to Outbound Wizards 
(00:21) What a Fractional GTM Engineer Does and How the Project-Based Model Works 
(01:33) E-Commerce Wholesale Campaign: OpenMart Scraping and Gap Analysis for Boutique Shops 
(04:29) Why OpenMart Beats Apollo for Niche Brick-and-Mortar Audiences 
(05:26) The Bad Story: Forgetting to Turn Off Clay Auto-Update and Burning 1000 Credits 
(07:23) Terhile's Journey: Decade in Tech Project Leadership to Discovering Clay via a Rabbit Hole 
(09:00) Completing the ColdIQ Application Task and Knowing This Was the Right Path 
(10:02) Future Predictions: GTM Splits into Strategists and Executioners 
(11:00) Social Listening Will Separate Great GTM Engineers From Good Ones 
(12:16) Same Basketball, Different Hands: Why Strategy Beats Tooling Every Time 
(12:56) Advice: Know Your Strength First, Learn Principles Before Tools, Don't Skip Copywriting

🔗 CONNECT WITH TERHILE

👥 LinkedIn 

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.

We explore Lucas's first real GTM engineering win: launching an AI SDR for Scient's new certification course, hitting 70 sales against a target of 50 in the first week—learning lead enrichment, lead scoring, and ICP segmentation on the fly, and applying everything he was going to teach before he'd even written the curriculum. He also shares how he manually mapped the entire GTM engineer landscape in Brazil to get precise data on how fast the role is growing, and what their projections look like for the next few years. His prediction: the role will grow very fast in Brazil and become standard at startups—one person who can sit between sales, marketing, and customer success and say "we can automate this, and here's what that frees you up to focus on" is going to be indispensable. Lucas shares his path from Link School of Business entrepreneurship program, to community and content manager at Scient translating GTM newsletters into Portuguese, to spending four weeks of university vacation studying n8n every day, to his founder-teacher Giovanni coming back from Bali, seeing the transformation, and immediately asking him to become their GTM engineer. His advice: understand which AI is best for which task—Gemini, OpenAI, Anthropic all have different strengths—study automation to build workflows that do many jobs repeatedly rather than one at a time, and keep a close eye on how established platforms like HubSpot are integrating AI into their core products, because they have to ship something genuinely good for small businesses to adopt it without a consultant army. 

Enjoy 🙂

(00:00) Introduction to Outbound Wizards 
(00:21) What Scient Does: Go-to-Market Consulting and Revenue Architecture for 50M+ ARR Companies 
(01:33) First 30-60-90 Days: Getting Marketing, Sales, and CS Speaking the Same Language 
(03:17) Lucas's Role: Growing the GTM Engineer Community and Running the Certification Program 
(04:01) Lucas's Journey: Business Student to Community Manager to GTM Engineer 
(05:32) Four Weeks of Studying n8n Every Day During University Vacation 
(06:03) First GTM Engineering Win: 70 Certification Sales Against a Target of 50 
(07:54) Manually Mapping Brazil's GTM Engineer Landscape: 20 With the Title, 150 Doing the Work 
(09:11) Future Predictions: The Role Will Become Standard at Brazilian Startups 
(10:01) Advice: Match the Right AI to the Right Task, Build Repeatable Workflows, Watch HubSpot

🔗 CONNECT WITH LUCAS

👥 LinkedIn 

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.

We explore her core insight on list quality: Sales Navigator data is roughly 30% wrong at any given time, and no matter how good your message is, sending it to the wrong person wastes your BDR's time, your LinkedIn connection quota, and sometimes produces meetings with completely the wrong person—so she now runs every Sales Nav list through Clay to clean and verify before it ever reaches an SDR. She also shares what's working in Brazil specifically: LinkedIn and WhatsApp outperform cold email for booking meetings, co-founder-led content from their CEO (an AI specialist) is growing fast and generating inbound interest, and email is used more as a soft nurture channel for people who aren't ready to engage yet. Her honest challenge with the space: there are so many tools and so many possibilities that the hardest skill is staying focused on the actual problem rather than building something because it's cool—the discipline to say not right now is as important as the creativity to imagine what's possible. Her prediction: every department will have its GTM engineer equivalent—a finance engineer, a marketing engineer—as AI tools get accessible enough that even finance managers can build their own automations, and the line between technical and non-technical roles dissolves. Jessica shares her path from engineering degree to sales ops and marketing analytics since 2018, using Python for reporting, discovering Clay earlier this year, and realizing that combining analytical thinking with business curiosity is exactly what this new role rewards. 

Enjoy 🙂

(00:00) Introduction to Outbound Wizards 
(00:21) What Abstra Does: Finance Automation SaaS for CFOs and Finance Managers in Brazil 
(01:06) Running Marketing, RevOps, Outbound, and Co-Founder Content Simultaneously 
(01:30) The 30% Problem: Why Sales Nav Lists Need Clay to Be Trustable 
(03:50) The Real Cost of Talking to the Wrong Person: Wasted Quota, Time, and Meetings 
(05:02) Channel Mix in Brazil: LinkedIn and WhatsApp Beat Cold Email for Meetings 
(06:04) Jessica's Journey: Engineering Degree to Sales Ops to GTM Engineering 
(07:44) The Hardest Skill in GTM: Staying Focused on the Problem, Not the Shiny Tool 
(09:39) Future Predictions: Every Department Gets Its Own Engineer, AI Becomes Everyone's Tool 
(13:42) Don't Forget the Basics: Run the Reports, Listen to Your Community, Stay Grounded

🔗 CONNECT WITH JESSICA

👥 LinkedIn 

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.

We explore his favorite campaign: a LinkedIn content agency client targeting business authors releasing books, where Dario got the agency's internal content playbook, turned it into a Clay prompt, scraped Penguin Publishing to find authors with upcoming releases, pulled chapter-level detail about each book, and generated two personalized LinkedIn content samples per prospect—sending them in the outreach email as a free preview of what working together would look like. Proof of work at scale, made to feel handcrafted. He also shares his Eventbrite scraping campaign for a printing franchise, pulling companies hosting events, enriching them in Clay, and running outbound sequences that drove 60-80 leads per month and deals worth $200K a year per location. Dario's take on where the space is going: it's somewhere between the LinkedIn crowd claiming they replaced 100-person SDR teams in two days and the people dismissing cold outreach entirely—the real answer is automating the research and prep layer while keeping humans close to the actual outreach, with GTM engineering eventually bleeding into RevOps and dark funnel marketing to build a complete picture of who's engaging and when. Dario shares his path from social content and newsletters at marketing agencies, to discovering Apollo during COVID while running virtual team-building events, to joining a cold outbound agency, to landing his current role at Reach. His advice: just get in and do it—he learned Facebook ads by selling dog portraits, learned outbound by running his own campaigns during COVID, and reckons no course or tutorial replaces the feeling of actually spending real money or sending real emails and seeing what happens. 

Enjoy 🙂

(00:00) Introduction to Outbound Wizards 
(00:20) What Reach Does and Dario's Role as First GTM Engineer Hired 
(01:27) Agency vs In-House GTM Engineering: Rinse-and-Repeat vs Constant Strategy Innovation 
(03:12) Printing Franchise Campaign: Eventbrite Scraping to 60-80 Leads Per Month 
(04:30) LinkedIn Content Agency Campaign: Playbook-to-Prompt to Personalized Lead Magnet at Scale 
(06:10) Proof of Work in Cold Outreach: Making Automated Feel Handcrafted 
(07:07) Future Predictions: Volume Still Wins But Can't Stand Alone Anymore 
(08:31) Conference Prep Workflow: Enriching Attendee Lists Before the Event 
(09:55) GTM Engineering Bleeding Into RevOps and Dark Funnel Marketing 
(11:16) Dario's Journey: Social Content to Newsletters to Apollo During COVID 
(12:03) Advice: Just Get In and Do It—Learn Facebook Ads by Selling Dog Portraits

🔗 CONNECT WITH DARIO

👥 LinkedIn 

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.

We explore what Dave is seeing across the market: a back-to-the-future moment where the pile-on of tools actually reduced prospecting time rather than increasing it, and the best SDR teams are now differentiating themselves by getting back on the phone to qualify and disqualify faster. He shares a real example of a US company where a GTM-engineer-led team of seven was generating more pipeline than a traditional SDR team of 47 at the same company—and the leader kept refusing to add headcount because the system was already winning. Dave also breaks down his take on the GTM engineer versus RevOps debate: it's not just a rebrand, it's an expansion of scope with a more practical, sales-practitioner lens rather than a purely data-driven one—and the C-suite pushing for it is giving the role a much bigger charter. His prediction: SDR headcounts will come down but productivity per rep will rise sharply as AI removes the 90 minutes of daily admin currently eating into selling time, tenures will get longer, pay will go up, and the role will finally become a profession rather than a stepping stone people sprint away from. And on the blunt question of whether the SDR is dead—his survey data says 55% of EMEA companies hired more SDRs in the last 12 months, and the companies cutting the function are the ones calling back six months later asking where the pipeline went. Dave shares his path from BDR in 2013 with just a phone and Salesforce, through global sales development leadership roles, to running Snowflake's EMEA sales development org, to founding SDR Leaders of EMEA after noticing the space for developing SDR leaders was almost entirely missing—now running 30-plus meetups globally in a year and scaling to 50-plus next year. 

Enjoy 🙂

(00:00) Introduction to Outbound Wizards 
(00:20) What SDR Leaders of EMEA Does: Roadmaps for Sales Development Leaders Globally 
(01:05) Back to the Future: Why the Best SDR Teams Are Getting Back on the Phone 
(02:44) GTM Engineer Adoption: 13.7% of EMEA Companies Already Employing One 
(04:22) GTM Engineer vs RevOps: Same Role or Expanded Scope? 
(06:48) Real Example: Team of 7 Outgenerating a Team of 47 with GTM Engineering Motion 
(08:09) First Mover Advantage: Why Late Adopters Will Struggle to Catch Up 
(09:04) Dave's Journey: BDR in 2013 to Snowflake EMEA Sales Development Leader 
(09:36) Founding SDR Leaders of EMEA: 30-Plus Meetups Globally in Year One 
(10:31) Future Predictions: Fewer SDRs, Longer Tenures, Higher Pay, More Pipeline Per Rep 
(11:40) Is the SDR Dead? 55% of EMEA Companies Hired More SDRs in the Last 12 Months

🔗 CONNECT WITH DAVE

👥 LinkedIn 

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.

We explore two initiatives: first, building custom scrapers to pull every personal injury firm in the country (since ZoomInfo coverage for this niche is thin), then running agents against each firm to identify the right contacts—giving Supio a complete picture of their TAM from nearly day one; and second, a cohort reporting project where Clark is piping Gong transcripts into Clay via webhooks, converting them into field values, creating custom CRM objects per call, and making it possible to analyze patterns across hundreds of calls at once—competitors mentioned, objections raised, deal signals—rather than reviewing transcripts one by one. His insight: combining first-party data from calls with first-party data scraped from prospect websites means you're building a picture of your market according to your own company, not a third-party data broker. His prediction: GTM engineering will become a household name as a career field, Clay is positioned to threaten CRM incumbents, and computer use agents getting good enough to operate Clay autonomously is the genuinely wild card nobody has a confident answer for—but right now the role creates undeniable impact and is only growing. Clark shares his path from political science major to SDR at legal marketing company Avvo, to startup OfferUp where he taught himself web scraping to outprosect his peers, to pivoting into RevOps after realizing he enjoyed finding people who wanted to say yes more than closing them, to getting laid off from his first RevOps role, to a year and a half of contracting in what is now called GTM engineering before Supio brought him on full-time. His advice: learn Clay, get operationally solid with CRM, and work for cheap or free in the beginning just to get reps—because once the numbers are behind you, the opportunities follow. 

Enjoy 🙂

(00:00) Introduction to Outbound Wizards 
(00:21) What Clark Does at Supio: GTM Engineering for a Legal AI Startup 
(01:31) Cohort Reporting from Gong Transcripts: Webhooks, Clay, and Custom CRM Objects 
(03:30) Building a Complete TAM Database for 60K Personal Injury Attorneys Across the US 
(05:23) Why First-Party Data Beats Third-Party Brokers for Niche Local TAMs 
(06:52) Clark's Journey: Political Science to SDR to Teaching Himself Web Scraping 
(07:50) Pivoting from Sales to RevOps After Realizing He Liked Finding Yeses More Than Closing 
(08:50) Getting Laid Off, Going Independent, and Accidentally Becoming a GTM Engineer 
(09:35) Future Predictions: GTM Engineering as a Career Field, Clay Threatening CRM Incumbents 
(11:18) Computer Use Agents Operating Clay Autonomously: The Wild Card Nobody Can Predict 
(12:32) Advice: Learn Clay, Get Solid on CRM, Work Cheap to Get Reps Early

🔗 CONNECT WITH CLARK

👥 LinkedIn 

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.

We explore two standout campaigns: a cybersecurity client where Filippo built a Lovable app that automatically attempts to breach a prospect's website when the link is submitted, then sends an email with a full report of every vulnerability found—reply rates through the roof because there is no stronger proof of pain than showing someone their site just got hacked; and a signal-triggered video personalization flow where a prospect interacting with a competitor on LinkedIn enters a Clay sequence that pulls their photo, their company logo, and the CEO's face, feeds it into a Lovable-built app via HTTP request, and generates a video of the CEO appearing to speak directly to that prospect about their specific problems—which the prospect then receives by email. Filippo's core philosophy: figure out what the average GTM engineer is doing right now, then ask how to beat it—because average gets average results. He also shares how Yellow Tech operates as a hybrid human-AI company, with AI agents living inside Slack alongside the team, talking to SDRs, and handling processes that would otherwise require multiple headcount. His prediction: his generation—what he calls AI natives—will enter the workforce already thinking in agents and automations, and that generational shift will be more disruptive to companies than any single tool release. Filippo shares his path from discovering ChatGPT 3.5 at 20, immediately understanding it would change everything, studying prompt engineering deeply, doing a master's in digital marketing, becoming an AI marketing specialist building some of the earliest AI agents before they were mainstream, and co-founding Yellow Tech at 23. His advice: be creative and get your hands dirty—prompt engineering is now one of the most valuable skills you can have, soft skills beat hard coding skills for GTM work, and you can build almost anything if you're willing to experiment. 

Enjoy 🙂

(00:00) Introduction to Outbound Wizards 
(00:21) What Yellow Tech Does: AI Adoption Programs and GTM Engineering for Italian Companies 
(02:11) Cybersecurity Client Campaign: Auto-Breaching Prospect Websites and Emailing the Results 
(04:48) Signal-Triggered CEO Video Personalization: Face, Logo, and Company Pain Points in One Email 
(07:00) Always Ask What's Average Right Now—Then Build Past It 
(09:19) Filippo's Journey: ChatGPT 3.5 at 20, Prompt Engineering, Digital Marketing Master's 
(11:23) Building AI Agents Before They Were Mainstream 
(11:32) Yellow Tech as a Hybrid Company: AI Agents Living in Slack Alongside the Human Team 
(12:58) The AI Native Generation: Entering the Workforce Already Thinking in Agents 
(14:19) Advice: Be Creative, Get Your Hands Dirty, Master Prompt Engineering First

🔗 CONNECT WITH FILIPPO

👥 LinkedIn 
💻 Website 

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.

We explore his campaign for a non-agency client selling into care homes, construction, and schools—where Apollo couldn't build the list so they scraped an online care home directory, enriched the domains in Clay, used Clay's AI to find care home managers, and chained the whole workflow together—only to find the carefully segmented industry campaigns barely scraped 1% reply rates, until Thomas had a simple idea: drop the industry segmentation entirely, search Apollo by job title across all industries, use messaging that had already shown positive signals, and run one broad campaign—jumping to 3% overall reply rate and 10% positive reply rate overnight. The lesson: there's a time for creative workflows and a time to stop ignoring what's right in front of you. Thomas also shares his take on cold email deliverability: he started in 2022 when the channel was more forgiving—buying dodgy cheap domains, skipping warmup, ignoring bounce rates, sending seven-step sequences—and got away with it, but anyone starting today has to get everything right from day one because ESPs and AI spam filters have made the margin for error much thinner. His prediction: infrastructure will keep tightening, agencies that survive will be the ones building their own tools and software rather than depending entirely on third-party platforms, and adaptability at speed will be the defining skill. Thomas shares his path from a manual business development agency in 2022 working with creative agencies and brands, to moving in-house at a communications and events agency, to stumbling across an automated lead gen account on Instagram, discovering Smartlead, Clay, and the whole new wave of sales tech, running his first campaigns just to see what was possible, accidentally landing a client, and building CalendarInvite from there. His advice: follow the right voices on LinkedIn and podcasts, absorb everything, but more importantly put it into practice—and don't be afraid to cold message people you look up to and ask for advice, because most of them will say yes. 

Enjoy 🙂

(00:00) Introduction to Outbound Wizards 
(00:20) What CalendarInvite Does: Lead Gen for Small to Medium Marketing Agencies 
(01:20) How Thomas Chose His Niche: Comfort and Familiarity Over Grand Strategy 
(03:48) First 30-60-90 Days: Auditing Current Sales Process and Building the Offer 
(06:47) Care Home Campaign: Scraping Directories, Enriching in Clay, Chaining Workflows 
(09:44) The Pivot That Worked: Drop the Segmentation, Search by Job Title, Watch Replies Jump 
(11:02) When Simple Beats Creative: The Lesson Thomas Is Taking Forward 
(12:15) Thomas's Journey: Manual Business Dev Agency to In-House to CalendarInvite 
(14:44) Discovering Smartlead and Clay on Instagram and Accidentally Landing a First Client 
(17:00) Why Starting in 2022 Was More Forgiving Than Starting Today 
(19:24) Future Predictions: Infrastructure Tightening, Agencies Need to Build Their Own Tools 
(22:14) Advice: Follow the Right Voices, Test Everything, Cold Message People You Admire

🔗 CONNECT WITH THOMAS

👥 LinkedIn 
💻 Website 

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.

We explore two standout campaigns: scraping the entire US government SBIR loan applicant database via a public API, pulling millions of rows into Clay to find under-awarded applicants as outreach targets, and closing multiple deals in two weeks in a space where B2G sales cycles are notoriously slow; and a SOC 2 compliance client whose TAM was essentially every SaaS company on earth until Walter narrowed it to listeners of a specific niche podcast, getting double-digit reply rates just from the shared context of that community. Walter goes deep on his philosophy of finding non-obvious data sources—IRS filing data, chamber of commerce registries, political campaign FEC filings, government APIs—because the companies fishing in Apollo and Clay's standard sources are all competing in the same dry pond, while the companies using public but obscure APIs are reaching prospects nobody else is touching. He also makes the case for attributable revenue as the only KPI that actually matters to a business owner: not bounce rates, not reply rates, not cost per lead—dollars in minus dollars out, tracked from first email touch through CRM close. Walter shares his path from SQL database developer for the city of Aspen, to digital marketing agencies, to e-commerce and Etsy with a serial entrepreneur girlfriend, to eventually going fully independent after his last employer saw him making double on his own, with Silvergreen now clearing over half a million in profit between two partners. His prediction: the future belongs to people who can engineer systems—integrate APIs, flatten messy data, automate workflows in n8n—because the barrier between what you can envision and what you can build is now a tenth of what it was a year ago. His advice running through the whole conversation: find the weird niche API nobody else knows about, prove revenue not metrics, and automate your own operations first so you know what you're actually selling. 

Enjoy 🙂

(00:00) Introduction to Outbound Wizards 
(00:19) What Silvergreen Does: GTM Advisory for Post-Seed and Series A Companies 
(01:44) Client Up 1900% Year Over Year: What the Teenage Phase Actually Looks Like 
(03:08) SBIR Government Loan Database Campaign: Millions of Rows, Multiple Deals in Two Weeks 
(05:24) Stop Fishing in Apollo's Pond: Find the Niche API Nobody Else Knows About 
(07:14) SOC 2 Compliance Campaign: Niche Podcast Targeting for Double-Digit Reply Rates 
(09:08) IRS Filing Data, Chamber of Commerce Registries, and Political Campaign FEC Data as Lead Sources 
(13:19) The $6M Bootstrapped Client With No CMO, No Automations, No Email Infrastructure 
(17:24) Attributable Revenue Is the Only KPI That Matters: Dollars In Minus Dollars Out 
(20:05) Building a Reporting Dashboard That Proves Value in Dollars and Cents 
(21:47) Walter's Journey: City of Aspen SQL Developer to Agency Life to Full-Time Independent 
(23:36) Future Predictions: GTM Engineering Is Now Systems Engineering 
(26:38) Building a Daily Lead Scraping System in an Afternoon That Saves 100 Hours a Month 
(28:20) n8n in Three Afternoons Beats What Used to Take a Computer Science Degree

🔗 CONNECT WITH WALTER

👥 LinkedIn 

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.

We explore two client stories: a large enterprise company that watched its organic traffic drop from 250,000 to 120,000 monthly visitors in under a year as people shifted from Google search to AI chat tools, scrambling to figure out what replaces SEO-driven lead flow; and a Canadian warehouse hardware company where Ritesh brainstormed the right signal with them—companies hiring warehouse managers—and built a list of every company posting those roles, enriching and sequencing them into outreach within days instead of months of manual research. Ritesh shares the big idea running through his whole philosophy: the shift from campaign-first to signal-first GTM, where instead of launching campaigns and waiting for people to come to you, you detect dark signals—G2 profile visits, website pricing page views, job postings, social listening, reverse IP—and reach out to decision makers before your competitors even know those buyers exist, the same way Amazon built its entire infrastructure around knowing what you want before you ask. His prediction: B2B enterprise companies are being forced to think like e-commerce companies—proactive, signal-driven, personalized at scale—and the monopoly that big budgets on Google and LinkedIn used to buy is dissolving as attention fragments across Grok, Gemini, ChatGPT and dozens of other platforms, creating a genuinely level playing field where a small player with a clever GTM strategy can out-execute a Fortune 500. Ritesh shares his path from SAP ERP developer writing code for 10 years, to freelancing in Facebook and Meta ads during the pandemic, to becoming a top-rated Fiverr Pro across enterprise marketing categories, to founding InsightsTap as a GTM agency focused on large tech companies. His advice: don't chase the shiny tool—learn the fundamentals of the industry you want to serve first, because tool shelf lives are short but marketing principles aren't, and being a Clay expert who can't diagnose a business problem is a much weaker position than being an industry expert who knows which tools to deploy. 

Enjoy 🙂

(00:00) Introduction to Outbound Wizards 
(00:21) What InsightsTap Does: GTM for Enterprise Tech Companies with Organized Data Infrastructure 
(02:54) Which Companies Benefit Most from AI: The Data Readiness Question 
(05:46) Campaign Story: Enterprise Client Losing Half Its Organic Traffic in Under a Year 
(08:58) Warehouse Hardware Campaign: Hiring Signals as Purchase Intent Triggers 
(10:53) From Idea to Campaign in 24 Hours: What AI Orchestration Actually Enables 
(14:31) The Shift from Campaign-First to Signal-First GTM 
(17:43) Dark Signals: G2 Visits, Pricing Pages, Reverse IP, Social Listening, Job Posts 
(20:05) Run Your B2B Company Like an E-Commerce Store: The Amazon Mental Model 
(24:50) Democratization of Marketing: Small Players Can Now Crush Big Budgets 
(27:57) Advice: Learn the Industry and the Problem First, Tools Come Second

🔗 CONNECT WITH RITESH

👥 LinkedIn 

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.

We explore his favorite initiative: a fully automated transcript intelligence workflow where every Gong call gets pulled into Make, sent to Claude via API with a structured prompt extracting objections, AE performance, expected close date, and buyer sentiment, then pushed directly into Salesforce fields—saving AEs manual logging time while giving marketing weekly content ideas and CS teams complete customer context before handoff. Daniel's insight: there is more gold sitting in call transcripts than most GTM teams ever touch, and the prompt is everything—once you know the right questions to ask, Claude does the rest. His prediction: smaller teams will do more than ever before, but you will always need a human managing the strategy and keeping all the tools and processes from becoming a mess—AI amplifies output, it doesn't replace oversight. Daniel also shares how he built a 200-person RevOps and marketing ops community in Israel after realizing the loneliness of being a one-person team, running webinars and in-person events so practitioners could brainstorm together—because when you're solo, you don't know what you don't know. He shares his path from a teaching degree he never used, to building freelance websites up north in Israel, to a startup founder handing him course after course until he'd learned SEO, ads, and Salesforce admin, to becoming Salesforce certified during two weeks of quarantine, to leading a three-person marketing ops team at Panarays, to his current RevOps role at justt. His advice: get hands-on with Salesforce or HubSpot first, join a team with other RevOps people before going solo, and set aside time every week to keep learning—because the tools move fast and staying current is non-negotiable. 

Enjoy 🙂

(00:00) Introduction to Outbound Wizards 
(00:22) What justt Does: AI-Powered Chargeback Recovery on a Success-Based Model 
(01:48) Being a One-Man RevOps Band: Supporting Sales, CS, and Marketing Simultaneously 
(02:54) Transcript Intelligence Workflow: Gong to Make to Claude to Salesforce 
(05:16) Why Call Transcripts Are the Most Underused Asset in GTM 
(06:16) Using Close-Won Calls to Rewrite Website Copy in the Customer's Own Words 
(07:24) Daniel's Journey: Teaching Degree to Freelance Websites to Salesforce Admin in Quarantine 
(09:08) Leading Marketing Ops at Panarays to RevOps at justt 
(10:35) Future Predictions: Smaller Teams Doing More, But Strategy Still Needs a Human 
(12:38) Building a 200-Person RevOps Community in Israel for One-Person Teams 
(14:09) Advice: Learn Salesforce or HubSpot First, Join a Team Before Going Solo

🔗 CONNECT WITH DANIEL

👥 LinkedIn 

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.

We explore his Clay build for a web scraping client where he mapped every competitor's alternative and versus pages across the market, identified which companies in the ICP didn't have those pages yet but should based on how well those pages convert, enriched each company with headcount, ICP roles, LinkedIn profiles, tech signals, and SEO gaps, and turned the whole table into a targeted outreach sequence that opened with: here's what your competitors have, here's what you're missing, here's how much revenue that gap is costing you. Filip also shares a personalization campaign he stumbled upon that stuck with him—someone who got a no-show created a Clay-generated image of themselves at McDonald's with two burgers and said they bought lunch for the meeting, which is the kind of B2C-inspired creativity he thinks will define where B2B outreach goes next. His prediction: GTM teams will increasingly function like engineers building systems rather than marketers running campaigns, signal-based growth will replace post-and-pray, and personalization at scale will reach a level that's hard to even picture right now. Filip shares his path from freelance copywriter for US clients, to head of growth at a New York marketing agency after going above and beyond his brief, to opening his own agency in Macedonia, to slowly attracting developer-focused B2B SaaS clients because of his technical background as a trained developer—culminating in Nakora, which launched a free GitHub visibility analyzer that pulled 700 users on day one. His advice running through the whole conversation: know your ICP pain points cold, because once you have those the targeting, messaging, and strategy all follow—right person, right message, right time is still the only formula that matters. 

Enjoy 🙂

(00:00) Introduction to Outbound Wizards 
(00:21) What Nakora Does: GTM Strategy and Execution for AI, Dev, and Data SaaS 
(01:53) Why Developers Hate Traditional Marketing and Most Agencies Can't Speak to Them 
(03:55) Clay Build: Mapping Competitor Alternative Pages to Find Revenue Gaps 
(05:32) Turning SEO Gap Research Into Targeted Outreach With Built-In Math 
(09:22) No-Show McDonald's Campaign and Why B2C Creativity Is Coming to B2B 
(11:55) Filip's Journey: Freelance Copywriter to Head of Growth to Nakora 
(13:03) Opening an Agency in Macedonia and Slowly Attracting Developer-Focused Clients 
(15:45) Why Developer Audiences Are Harder to Earn Trust From Than Marketers 
(16:03) GitHub Visibility Analyzer: 700 Users on Day One 
(18:00) Future Predictions: GTM Teams as Engineers, Signal-Based Growth, Personalization at Scale 
(20:34) Orca Security Mascot Campaign and the B2C Inspiration Behind B2B Outreach

🔗 CONNECT WITH FILIP

👥 LinkedIn 
💻 Website 

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.

We explore his webinar attendee campaign where he pulled a list of 346 companies that had attended the same online event, enriched them in Clay, and used the shared attendance as the icebreaker—hitting a 40% positive reply rate simply because the commonality made the outreach feel like a warm conversation rather than a cold one. Sachin breaks down his philosophy that strategy always comes before tooling, SOPs should be built for every step of the GTM process including appointment setting and FAQ management, and that once your SOPs are detailed enough the next person executing them doesn't have to be human—it can be an AI agent. He also draws on his time at Turing, where a 40-person team did everything manually, to make the point that if you haven't done something by hand first, you won't know what to automate or where the errors will accumulate—which is exactly why most end-to-end AI SDR deployments fail. His prediction: operations will be fully automated, but client-facing and cognitive roles will remain human territory for the foreseeable future, and companies that try to automate the human-to-human connection will be at a disadvantage. Sachin shares his path from an MBA at Banaras Hindu University to handling email deliverability and inbox management at Turing, to learning appointment setting and data enrichment fundamentals at ColdNC in the Netherlands under a founder who invested deeply in his growth, to his current CMO role at Cocorick while also pursuing a doctoral program in AI. His advice: learn LinkedIn and Gmail community guidelines cold, nail your technical infrastructure foundations, and always start with strategy—the tool is just how you execute it. 

Enjoy 🙂

(00:00) Introduction to Outbound Wizards 
(00:20) What Cocorick Does: Dedicated LLM Products for B2B SaaS 
(01:45) Webinar Attendee Campaign: Shared Context as Icebreaker Hitting 40% Reply Rate 
(03:14) Running a Lean GTM Org: One Person Doing the Work of Eight 
(05:10) Why Manual Experience First Makes Automation Actually Work 
(06:32) Why End-to-End AI SDR Deployments Fail: Automating Before Understanding 
(07:22) Building SOPs for Every GTM Step So AI Agents Can Execute Them 
(08:07) Sachin's Journey: Turing to ColdNC to Cocorick 
(09:55) Learning the Fundamentals Under a Founder Who Invested in His Growth 
(10:48) Future Predictions: Operations Fully Automated, Human Touch Stays in Client-Facing Roles 
(12:16) Advice: Strategy First, Tool Second, and Know Your Infrastructure Foundations

🔗 CONNECT WITH SACHIN

👥 LinkedIn 

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.

We explore his fleet insurance campaign where he scraped the entire Florida state commercial truck database—crash rates, fleet sizes, violation records, cargo types—vibe-coded a custom analysis tool using Cursor to find crash patterns across thousands of fleets, discovered the state average was around 15%, and built two-way messaging: if your rate is above average, your premiums are probably suffering; if you're below, you might be leaving savings on the table. The real insight: this isn't personalization, it's research—showing someone you know their world well enough to say something that actually matters to their business. Akio also shares the rule he's starting to track: the seniority of who shows up to the meeting is determined by how strategically the outreach message is framed—solve a day-to-day technical problem and you get a manager; speak to a C-suite initiative and the C-suite comes in. His prediction: GTM engineering salaries will balloon as engineers start impacting eight-figure pipelines, but the real inflection point comes when CAC becomes truly untenable for sales orgs and the shift becomes non-negotiable. Akio shares his path as a founding AE at four startups ranging from near-zero to $13B valuation, spending hours manually reading 10-Ks to connect value props to what executives actually cared about, selling the first gen AI policies to the federal government at Grammarly, and realizing AI would let him do at scale what he'd only ever been able to do manually as an individual rep. His advice: start learning now—the market is early, the information is everywhere, and one-year-out-of-school founders are already building agencies with real traction. 

Enjoy 🙂

(00:00) Introduction to Outbound Wizards 
(00:20) What Bridge City Advisory Does: Messaging, Data, and Deliverability as One System 
(02:43) Who the Clients Are: Companies Where Outbound CAC Has Become Untenable 
(04:37) Florida Fleet Insurance Campaign: Scraping State Database and Vibe-Coding the Analysis 
(07:23) Research vs. Personalization: Why Knowing Their World Beats Knowing Their Name 
(08:52) You Get Delegated to the Level You Sound Like 
(10:37) Akio's Journey: Founding AE at Four Startups, Reading 10-Ks Manually 
(12:23) Selling the First Gen AI Policies to the Federal Government at Grammarly 
(13:49) Future Predictions: GTM Engineer Salaries Will Balloon as Pipeline Impact Grows 
(15:23) The Real Inflection Point: When CAC Becomes Truly Untenable 
(15:28) Advice: Start Learning Now, the Market Is Still Very Early

🔗 CONNECT WITH AKIO

👥 LinkedIn 
💻 Website 

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.

We explore Tim's evolution from mass automated campaigns with 50%+ open rates but near-zero replies, to a signal-plus-manual approach that pushed response rates from 3-5% all the way to 30-40%—by switching from ICP thinking to ideal use case thinking, identifying specific life events like a founder transitioning out of founder-led finance and hiring a VP of Finance, then spending 15-30 minutes per lead doing real research that AI can't replicate (like spotting a shared VC connection in a website photo). Tim shares his trust-times-value formula: perceived value isn't fixed—it's multiplied by the trust level of the person delivering it, which means a human writing a genuinely personal message creates more perceived value than the same words sent by automation, and that in a world flooded with AI content the human brain still instinctively assigns more trust to real human contact. He also ran 10-12 small hypothesis-driven campaigns of 50-150 leads each across different segments and roles, using the data to narrow down exactly where in a startup's journey the ERP question surfaces—landing on Series A as the new sweet spot, not pre-IPO. Tim shares his path from mechanical and production engineering, to operations management at Berlin startups, to getting handed the sales team over a dinner and a bottle of red wine, discovering that sales is 70-80% human psychology, and eventually becoming CRO at Agent F. His advice runs through the whole conversation: do things that don't scale for your first customers, because trust compounds into referrals before you've even closed the deal. 

Enjoy 🙂

(00:00) Introduction to Outbound Wizards 
(00:19) What Agent F Does: AI-Native ERP for the Mid-Market Gap 
(02:50) Early GTM: Expert Interviews, Network Leverage, and Hypothesis-Driven Campaigns 
(05:00) Switching from ICP to Ideal Use Case Thinking 
(08:00) Signal-Based Outreach Plus Manual Research: 3-5% to 30-40% Reply Rates 
(09:45) Why AI Can't Replace the 15-Minute Human Research Layer 
(11:09) The Trust-Times-Value Formula: Human Contact as a Multiplier 
(13:35) Do Things That Don't Scale: First 10 Customers Deserve a Human 
(14:12) Tim's Journey: Mechanical Engineer to CRO via a Dinner and Red Wine 
(16:13) How Sales Became Human Psychology and Partnership Over Pipeline 
(17:00) Future of Sales: Efficient Is Not the Same as Effective

🔗 CONNECT WITH TIM

👥 LinkedIn 

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.

We explore his Y Combinator client campaign where he used Disco to build a use-case-segmented list of companies that fit their universal API product, ran them through Clay to tag accounts and filter false positives, then pushed simple founder-led outreach on LinkedIn use case by use case—letting the co-founder's profile do the advertising so the message itself could stay short and direct. Michael breaks down why Disco fills a gap that Sales Navigator can't: semantic similarity search across companies that LinkedIn's algorithm simply doesn't do well, especially for businesses outside the well-funded venture-backed universe. His prediction: outbound channels don't die suddenly, they degrade slowly like banner ad click-through rates in 1999—and the smarter bet is positioning around complexity rather than any specific channel or tool, because go-to-market will always be complex and whoever can diagnose and solve that complexity consultatively will have durable positioning. He also flags a middle-probability scenario worth watching: in five years the attention economy shifts toward a community economy built on closed loops of trust, CRM data quality gets productized and commoditized, and there's meaningful agency consolidation as infrastructure complexity rewards scale. Michael shares his path from economics grad school and infrastructure finance consulting in DC, to naively jumping at the first tech company that messaged him on LinkedIn, to origination at a private credit marketplace talking to 2,000 founders, to leading GTM for a new vertical at a healthcare marketplace, to founding Apero after a mentor told him to learn Clay. His advice: go deep before going wide—work inside a single company for a few years, because context is what's scarce for a new GTM engineer, and no company will trust you with full-funnel thinking until you've earned it somewhere. 

Enjoy 🙂

(00:00) Introduction to Outbound Wizards 
(00:21) What Apero Advisors Does: Boutique GTM Advisory Going Deep on Few Clients 
(01:24) First 30-60-90 Days: Starting from First Principles on TAM, Offer, and Channel 
(04:08) YC Client Campaign: Disco + Clay + Founder-Led LinkedIn Outreach by Use Case 
(06:40) Why Disco Fills the Semantic Search Gap That Sales Navigator Can't 
(07:47) Michael's Journey: Economics Grad to Infrastructure Consulting to GTM Advisory 
(09:22) Talking to 2,000 Founders at a Private Credit Marketplace 
(10:20) Leading GTM for a New Vertical at a Healthcare Marketplace 
(11:25) Future Predictions: Channels Degrade Slowly, Community Economy on the Horizon 
(13:47) CRM Data Quality Gets Productized, Agency Consolidation Coming 
(15:44) Positioning Around Complexity Rather Than Any Specific Tool 
(17:00) Advice: Go Deep Before Going Wide, Context Is What's Scarce

🔗 CONNECT WITH MICHAEL

👥 LinkedIn 

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.

We explore her outbound approach of doing almost everything manually to sound human in an increasingly automated world, and why LinkedIn voice notes have become her favorite outbound play—async like a cold call, verified like a database, and intriguing by nature since there's no text above or below, just a bar someone has to press play on. Hayley breaks down why she researches every prospect before sending—sometimes going as far as looking up landmarks near where they live just to show she did the work—and the bizarre moment she had to prove she was human after responding too quickly to a LinkedIn message. Her prediction: the CRM becomes a data lake, Salesforce turns into pure storage, and the real action moves to AI layers that pull meaningful insights in real time rather than dashboards that tell you what happened last quarter. Hayley shares her path from double-majoring in early childhood education and sociology, teaching first and third grade in the Bay Area during COVID, landing her first BDR role via referral after no one believed a teacher could sell, booking 30-plus meetings a month and getting promoted in seven months, getting prompt engineer certified, selling small language models to Fortune 500 brands, and eventually finding Alysio because she'd personally felt every pain point they were solving. Her advice: be patient, be consultative, bridge the gap between what leadership thinks the problem is and what the front line is actually experiencing—and don't be afraid to tell everyone exactly what you need to succeed. 

Enjoy 🙂

(00:00) Introduction to Outbound Wizards 
(00:21) What Alysio Does: Revenue Intelligence That Talks to Your Entire Tech Stack 
(01:57) Favorite Outbound Play: LinkedIn Voice Notes as Async Cold Calls 
(03:36) Doing Everything Manually to Sound Human in an Automated World 
(06:09) The Moment Hayley Had to Prove She Was Human After Replying Too Fast 
(07:48) Journey: Teaching First Grade in the Bay Area to First BDR Hire 
(09:24) 30-Plus Meetings a Month, Promoted in Seven Months 
(10:00) Advising Pre-Seed to Series D Companies on GTM Motion 
(10:47) Getting Prompt Engineer Certified and Selling Small Language Models 
(13:07) Future Prediction: CRM Becomes the Data Lake, AI Replaces the Dashboard 
(15:53) Advice: Be Patient, Be Consultative, Bridge Bottom to Top

🔗 CONNECT WITH HAYLEY

👥 LinkedIn 

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.

We explore his HR Tech campaign where eight baseline campaigns generating 200 replies per day fed enough data to build a ninth creative campaign using job opening signals—spotting what the prospect was hiring for, referencing their clients and team members, and giving three tailored ideas for how the tool solved the exact role they were recruiting—landing four customers from 1,000 emails. Abrar breaks down his five-step outbound framework: ICP and offer confirmation, infrastructure setup, list building, copywriting, and continuous campaign testing with inbox management. His prediction: the volume game is over and signals plus timing is the new edge—with the GTM engineering role itself evolving faster than ever as tools like Cursor and Claude Code keep dropping. Abrar shares his journey starting as a VA at 14 earning $3/hour on Upwork, dropping school to go all-in on learning marketing, getting noticed for his cold email writing while applying for Google Ads internships, and discovering Clay at 15 before it was mainstream—now running his own agency at 17. His advice: learn ICP, pain points, and buying reasons before touching any tool—and work for free until you have results, because one industry win gives you the case study that makes the next client easy. 

Enjoy 🙂

(00:00) Introduction to Outbound Wizards 
(00:21) What Unlocked Acquisition Does: Cold Email and LinkedIn Outbound for B2B 
(01:31) First 30 Days: Month-to-Month, No Guarantees, Results-First 
(02:04) HR Tech Campaign: Job Opening Signals + Three Tailored Ideas = 4 Customers from 1K Emails 
(03:52) The Five-Step Outbound Framework 
(04:48) Abrar's Journey: VA at 14, Dropped School, Discovered Clay at 15 
(07:07) Future Predictions: Signals Over Volume, GTM Engineering Evolving Fast 
(08:28) Advice: Learn Sales Fundamentals First, Work Free Until You Have Results

🔗 CONNECT WITH ABRAR

👥 LinkedIn 

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.

We explore his turnaround of a junior SDR's email campaign that was sitting at 20% open rates with near-zero replies: by identifying over-reliance on AI-generated copy that lacked nuance and context, tightening the ICP from a broad spray approach to a highly specific target, and adding a human layer where the rep researched one real problem for that exact role—open rates jumped to 70% and reply rates hit 8%. Colin shares his philosophy that outreach is an interruption, and if you're going to interrupt someone's day you better have a genuinely good reason—which is why he prefers a list of 20-50 highly qualified names over a thousand vague ones, and why he sees regulations like GDPR not as obstacles but as the market demanding salespeople do their jobs responsibly. He breaks down the jobs-to-be-done framework as his go-to ICP shortcut: map your USP to the biggest problem in the prospect's daily job, and you have enough to start building. Colin shares his path from leaving school straight into sales, spending seven years manually recording every call outcome in Excel to beat his own personal biases with data, running a calling-first appointment setting firm in South Africa, pivoting to email during COVID, and now rebuilding with Clay and n8n workflows in Germany. His advice: understand the current landscape before anything else—the goal of outreach has fundamentally shifted from getting a meeting to earning the right to have one—and let data override your personal biases before they cost you months of subpar results. 

Enjoy 🙂

(00:00) Introduction to Outbound Wizards 
(00:20) What Prospectr Does: Building GTM Motions for Founder-Led and Small Sales Teams 
(02:08) First 30-60-90 Days: ICP, USP, Feedback Loop 
(03:33) Campaign Story: From 20% Open Rate to 70% by Adding Human Nuance Back In 
(05:19) Why Junior SDRs Over-Rely on AI and Miss Context 
(07:00) Colin's Philosophy: Interrupting Someone's Day Has to Be Worth It 
(08:24) GDPR as a Feature, Not a Bug: Regulation as a Professionalism Standard 
(09:47) Using Free LLMs for Deep Psychographic Segmentation Without Clay 
(12:32) Jobs-to-Be-Done Framework as the ICP Shortcut 
(14:13) Future Predictions: AI Solves the Bottleneck of Finding and Qualifying Prospects 
(16:03) Colin's Journey: Seven Years of Excel Call Logs to GTM Engineering in Germany 
(17:00) GTM as the Scientific Method: Hypotheses, A-B Testing, Message-Market Fit 
(19:00) Advice: Learn the Current Landscape First, Then Let Data Beat Your Biases

🔗 CONNECT WITH COLIN
 
👥 LinkedIn
💻 Website 

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.

We explore his onboarding process that goes way deeper than standard ICP definition: instead of just firmographics, his team digs into what was happening internally at a company right before they decided to buy, using that to pre-identify the exact signals that predict purchase readiness and cutting the time to a winning sequence from 4-5 weeks down to 2-3. Imran shares his Clay playbook for LinkedIn outbound: filtering strictly for active LinkedIn users (posted in the last 30 days) so connection quota never gets burned on ghost accounts, then scraping competitor and thought leader posts to find ICP prospects who engaged with that content, pulling the post into Clay, using a mini AI agent to generate one sharp question from the content, and opening with that question so the prospect immediately has something real to respond to. His prediction: within one to two years nearly every B2B company will have an internal GTM team, and the GTM engineers who survive the commoditization wave will be the ones who layer n8n automation on top of their Clay and outbound tool workflows—and eventually Claude Code and cursor to build custom tooling nobody else has. Imran shares his path from B2C marketing roles he never enjoyed, to a recruiting firm where he first encountered Clay in its early confusing days, to rejoining the tool in early 2024 when communities had formed around it and the whole GTM engineering ecosystem had clicked into place. His advice: stop sending CVs—build a workflow, post it on LinkedIn, show people exactly what you can do, join GTM communities, and let your portfolio do the talking. 

Enjoy 🙂

(00:00) Introduction to Outbound Wizards 
(00:21) What Patrick Burns Does: Meeting Booking and GTM Infrastructure for B2B SaaS 
(01:27) The Onboarding Process: Digging Into Internal Buying Signals Beyond Firmographics 
(03:35) The Clay Playbook: Active LinkedIn Users and Competitor Engagement Targeting 
(05:48) Using AI to Extract One Question from Engaged Content to Start Conversations 
(07:03) Why LinkedIn Outperforms Email Right Now and the Voice Note Frontier 
(08:30) Imran's Journey: B2C Marketing to Recruiting Firm to GTM Engineering 
(10:22) Why GTM Engineering Forces Constant Upskilling to Maintain Reply Rates 
(11:07) Future Predictions: Every B2B Company Builds Internal GTM, n8n Becomes Essential 
(12:25) Claude Code and Cursor: Building Custom Tooling No One Else Has 
(13:37) Advice for New GTM Engineers: Portfolio Over CV, Communities Over Applications

🔗 CONNECT WITH IMRAN

👥 LinkedIn 

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.

We explore his intent-based outbound system where ICP is just the starting point: AI agents research batches of 50 companies at a time, scanning for hiring signals in data security and compliance (meaning they're investing but hitting capacity), funding rounds (cash in hand means pressure to deliver), AI adoption mandates from boards, and news about the company's AI direction—scoring and recycling companies into a repository so that when timing shifts, they're already ready to reach out with a relevant message. Ricardo breaks down how founder-led sales using iGentic's CEO Zara—15 years at Akiva and MassMutual, PhD, MBA—gives them a credibility edge when getting in front of CTOs, CISOs, and heads of AI at enterprise companies making hundreds of millions annually, and why GTM is ultimately about playing the cards you're dealt. His prediction: the GTM engineer of the future needs to become a builder—not a developer, but someone who starts every process manually to understand the bottlenecks, then deploys no-code and low-code AI tools to remove them—because AI is replacing routine thinkers, not top performers. Ricardo shares his path from sales director at a traditional packaging company in Brazil experimenting with early ChatGPT, to joining Trilogy (a US-based PE firm revamping acquired software companies with AI), where he was handed a blank playbook, full-cycle ownership, and a company culture that tracked AI learning hours as a KPI—which is where his GTM craft was really built. His advice: use AI to figure out what you need to learn, build a curriculum, follow tutorials hands-on, and don't be afraid to fail at new tools—because curiosity and building are the only things that compound. 

Enjoy 🙂

(00:00) Introduction to Outbound Wizards 
(00:21) What iGentic Does: AI Compliance and Governance for Regulated Industries 
(01:38) Founder-Led Social Selling: Leveraging a CEO with 15 Years of Industry Credibility 
(03:12) Intent-Based Outbound: ICP Is Just the Starting Point 
(05:51) AI Agents Researching 50 Companies at a Time: Hiring, Funding, AI Adoption Signals 
(08:03) Scoring and Recycling Companies Until Timing Is Right 
(10:51) Ricardo's Journey: Packaging Sales in Brazil to AI-First GTM at Trilogy 
(13:07) Building the Playbook from Scratch with Full-Cycle Ownership 
(16:46) Future of GTM: Become a Builder, Start Manual, Then Automate 
(18:35) AI Takes Routine Jobs, Not Top Performers 
(19:05) Advice for GTM Engineers Starting Out Today

🔗 CONNECT WITH RICARDO

👥 LinkedIn 

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.

We explore her campaign for a New York social media agency targeting restaurant and cafe owners—scraping Yelp for businesses with strong offline presence but weak online footprint, cross-referencing their Instagram for low engagement, and using that gap as the core hook in cold email outreach to convert 500 verified leads into paying clients. Ada breaks down her philosophy that AI tools don't replace human thinking—they amplify it—and that the quality of input you give any intelligent system, human or AI, is the deciding factor in whether it produces results. She shares her journey from executive virtual assistant managing emails and calendars, to teaching herself lead generation to find her own clients through Slack founder communities, to realizing she was better at lead gen than anything else, making the switch, scaling to the point of needing to delegate, and founding AVGA to connect businesses with trained virtual assistants. Ada also coaches aspiring lead generation specialists and shares the biggest mistake beginners make: treating lead gen as a mechanical process of generate, verify, send—instead of first deeply understanding the ICP, their pain points, their business language, and leading with a free offer (like a profile optimization) that proves competence before asking for anything. Her advice: give something to get something—read their website, study the about page, learn the owner, and make every outreach sound like it came from someone who actually did their homework. 

Enjoy 🙂

(00:00) Introduction to Outbound Wizards 
(00:20) What AVGA Does: VA Agency Covering Lead Gen, Social Media, and VA Services 
(01:11) Campaign Story: Social Media Agency Targeting NYC Restaurant and Cafe Owners 
(03:03) Using Yelp Scraping and Instagram Audit as the Outreach Hook 
(04:12) Why Publicly Available Data Makes Hyper-Personalized Outreach Possible 
(05:05) Ada's Journey: EVA to Lead Gen Expert to Agency Founder 
(06:35) Predictions: AI Amplifies Human Input, Never Replaces It 
(08:47) Advice for Beginners: ICP First, Free Offer Second, Keywords Third 
(10:41) Why Getting Attention Is the Real Hard Work in Lead Gen

🔗 CONNECT WITH ADA

👥 LinkedIn
📸 Instagram 

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.

We explore his signal-based calling approach where instead of dialing blindly, his team detects real-time trigger events (like a company actively searching for a sales trainer) and calls with a direct, relevant reason to reach out - turning cold calls into warm ones - and how 49 targeted calls off the back of those signals produced 20 highly qualified meetings. Carlos breaks down why relevancy isn't just good for prospects but protects his reps from burnout and his clients' brand reputation, and why his philosophy is that only 3-5% of companies are ever in the right moment to buy - so finding that 3-5% through automation is the whole game. His prediction for the future: call bots may eventually book appointments for low-ticket offers, but for high-ticket sales, buyers need a human to hold accountable if things go wrong - and that accountability gap is where human cold callers will always win. Carlos shares his 20-year sales career, consistently over-delivering as a rep until he realized he was hitting quota in a fraction of the time a full-time average rep needed, spending one year freelancing on the side before going all in on Sales Titans. His advice: pick up the phone - because even people listening to this conversation who understand it's a competitive advantage still won't do it, and that's exactly why it works. 

Enjoy 🙂

(00:00) Introduction to Outbound Wizards 
(00:21) What Sales Titans Does: Outsourced B2B Cold Calling Across Every Vertical 
(02:01) Signal-Based Calling: Detecting Trigger Events to Create Relevant Outreach 
(03:25) Why Signals Make Cold Calls Warm and Protect Brand Reputation 
(05:48) 49 Calls, 20 Qualified Meetings: What Targeted Outbound Actually Looks Like 
(06:49) Carlos's Journey: 20 Years in Sales, Freelancing on the Side, Going All In 
(08:53) Future of the Space: Automation Plus Human Touch for High-Ticket Sales 
(10:53) Why Call Bots Won't Replace Humans for High-Ticket Anytime Soon 
(12:19) Advice for Anyone Getting Started in Cold Calling Today

🔗 CONNECT WITH CARLOS

👥 LinkedIn 
💻 Sales Titans LinkedIn 

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.

We explore his invoice automation campaign that hit 35-60% reply rates and 20-25 positive leads per 100 messages by pinpointing CFOs' exact pain (600+ hours and 10-20 people manually validating invoices monthly), personalizing message variables in Clay based on company size and industry to estimate invoice volume, then layering ABM across other decision makers once any account replied - using ERP migration signals as expansion triggers. Kartik also shares the rare case where a chartered accounting client got strong replies with zero pain-point messaging, just an exceptionally clear landing page - and why sometimes breaking the "no links in outreach" rule is the right call. His prediction for the future: repetitive tasks get fully automated, and the GTM engineer role becomes almost entirely about deep domain knowledge - understanding the psychology, language, and pain points of a specific industry-market combination the way an investor understands a sector, because that vertical expertise is what no tool can replicate. Kartik shares his journey from learning cold outreach in 10th standard out of pure curiosity, landing a placement at Love Social Media straight out of 12th class, and now running campaigns while completing his graduation three years in. His advice: whatever client or industry you work with, absorb everything about that market - because that knowledge compounds and gives you a head start on every similar project that follows. 

Enjoy 🙂

(00:00) Introduction to Outbound Wizards 
(00:21) What Love Social Media Does and Kartik's Role 
(01:40) Invoice Automation Campaign: Pain-Point Messaging Hitting 35-60% Reply Rates 
(04:22) Using Clay to Personalize Invoice Volume by Company Size 
(04:29) ABM Layering After First Reply and ERP Migration as Expansion Signal 
(05:41) The "Do the Math" Campaign Approach 
(07:04) The Rare Case: Clear Landing Page Beats Pain-Point Messaging 
(08:24) Kartik's Journey: Learning Lead Gen in 10th Standard, Placement at 12th 
(09:41) Where GTM Is Heading: Domain Knowledge Over Repetitive Tasks 
(11:33) Verticalization of Expertise as the Career Moat 
(12:43) Advice for GTM Engineers Starting Out Today

🔗 CONNECT WITH KARTIK

👥 LinkedIn 

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.

We explore his propensity scoring project that assigns 1-10 purchase likelihood scores to thousands of pipeline opportunities in Salesforce using variables like company profile, past purchases, company size, and buyer persona (engineer vs. product lead), then extended the algorithm via API to distributors and resellers in the partner channel. Sid breaks down how the feedback loop works - tracking whether high-scored opportunities actually closed faster - and using anomalies to make the algorithm smarter over time. He shares his vision for where AI in GTM is heading: moving from siloed tool usage by individual reps to end-to-end workflow impact connecting CPQ, CRM, and ERP, with customer success evolving from simple chatbots to intelligent ticket stack-ranking that identifies at-risk customers before they churn. Sid also walks through his career arc from designing high-speed backplanes for NVIDIA and Cisco as an EE, to sales engineering, product management, leading Autodesk's licensing-to-SaaS transition (learning renewal-focused GTM from the ground up), to migration go-to-market at AWS, and now worldwide GTM at NetApp. His advice for anyone starting in GTM today: ignore the shiny objects, focus on your core competency, and shift your mindset from selling products to accelerating your customer's cycle to value - because outcomes are what will always win. 

Enjoy 🙂

(00:00) Introduction to Outbound Wizards 
(00:30) What a Worldwide GTM Lead Actually Does 
(02:30) Propensity Scoring: Ranking Pipeline 1-10 by Purchase Likelihood 
(04:16) Extending the Algorithm to the Partner Channel via API 
(05:40) Building Feedback Loops to Make the Model Smarter 
(06:32) Sid's Career: EE Design Engineer to Sales Engineer to GTM 
(07:23) Autodesk's Licensing-to-SaaS Transition and Renewal GTM 
(07:56) Migration Go-to-Market at AWS 
(09:10) AI in GTM Predictions: From Silos to End-to-End Workflow Impact 
(11:33) Customer Success Evolution: Smart Ticket Stack-Ranking 
(12:13) Advice for Anyone Starting in GTM Today

🔗 CONNECT WITH SID

👥 LinkedIn 

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.

We explore his HR company campaign 10x'ing pipeline in 8 months by connecting isolated tools through Clay, building low-hanging fruit CRM list with lead scoring, scanning LinkedIn with GPT feeding 25-30 product one-pagers, and shifting from pain-based to "strength factor" approach focusing on what prospects do well (growing/hiring/awards)—stroking ego, getting them to reveal real pains making sales easy. Daniel shares his journey from American Express to AT&T, becoming SDR at Science Technologies during COVID working with Harvard Business School/HubSpot pre-Apple exit, moving to team lead working with 100-150 Ukrainians having video calls in basements during Russia war, winning founder's contest pitching SEO-first lead gen, building million-page catalog moving from 30K to 1.3M visitors monthly (never forecasted millions just 10K incremental), doing lead gen for WWE/Formula One/Liverpool/NFL teams, and creating Conexión Real giving opportunities to talented hungry people across Latin America. Daniel's advice: combine grit with creativity building teams from marketing/SEO backgrounds thinking differently to solve problems faster. 

Enjoy 🙂

(00:00) Introduction to Outbound Wizards 
(00:33) What Conexión Real Does: Bridging Latin America SaaS to Mexico/US 
(02:24) Latin America Like 2019 US (Discovering SDR/BDR Specialization) 
(04:25) Creative Campaign: HR Company 10x Pipeline with "Strength Factor" 
(08:19) Shifting from Pain-Based to Strength-Based Messaging 
(12:48) Journey: American Express to AT&T to Science Technologies 
(14:51) Working with Harvard Business School, HubSpot Pre-Apple Exit 
(15:47) 100-150 Ukrainians in Basements During Russia War 
(17:12) Winning Founder Contest Pitching SEO-First Lead Gen 
(18:34) Million-Page Catalog Moving from 30K to 1.3M Visitors Monthly 
(20:00) Lead Gen for WWE/Formula One/Liverpool/NFL Teams 
(21:52) Creating Conexión Real for Talented Hungry People 
(22:43) Closing and Contact Information

🔗 CONNECT WITH DANIEL

👥 LinkedIn
💻 Website

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.

We explore his branded materials campaign for conference promotional items targeting CMOs with subject line "do you want more LinkedIn ads?" offering discount to save money and buy more ads—getting 20% response rate (5% closed) because CMOs prove job security through MQLs and more budget means looking more successful. Zach shares his journey at Labster during pandemic selling ed tech video games for homework, building scraping bot amassing 20K teacher emails from public domain, sending 35K emails from main server without realizing ("ask forgiveness not permission"), getting RevOps leader call four hours later ("you sent 35K emails to California"—Home Alone 2 Kevin's father moment), and realizing this could work. He predicts ISPs/ESPs tightening restrictions (spam definition from 1/50K to 1/1K making bar ever-decreasing), collective consciousness against sales tactics (Wolf of Wall Street cold calling to now not picking up unknown numbers—cold email reaching tipping point), and successful companies giving tempting offers putting money where mouth is. Zach's advice: immerse in culture (Reddit r/coldEmail daily, YouTube influencers), spend money you don't have on solutions to learn (sailing book principle: read 10%, watch 30-40%, do yourself 50%), get started with coffee and be ready for mistakes. 

Enjoy 🙂

(00:00) Introduction to Outbound Wizards 
(00:30) What Instruqt Does: Cloud Sandboxes for Developer Learning 
(01:00) Day-to-Day: Shifting from Quantity to Quality (Small TAM) 
(03:21) Creative Campaign: "Do You Want More LinkedIn Ads?" (20% Response Rate) 
(06:57) Asking Deeper Why About Person's Drivers (CMO Metrics/Job Security) 
(08:42) Journey: Labster During Pandemic (Ed Tech Video Games for Homework) 
(10:19) Building Scraping Bot (20K Teacher Emails from Public Domain) 
(12:15) Sending 35K Emails from Main Server (RevOps Leader Call) 
(14:02) Future Prediction: ISPs/ESPs Tightening Restrictions (1/50K to 1/1K) 
(16:16) Collective Consciousness Against Sales Tactics (Wolf of Wall Street to Now) 
(19:15) Advice: Immerse in Culture, Spend Money to Learn, Do Yourself 50% 
(22:05) Closing and Contact Information

🔗 CONNECT WITH ZACH

👥 LinkedIn
💻 Website

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.

We explore his creative campaigns including sending handwritten personalized notes to prospects' homes, using Gamma beta API (paying since early days) to automate demo slide creation post-discovery call, and building personalized SEO dashboards with Bold (similar to Lovable) and Supabase backend—didn't implement it because way too expensive to run but fun project, and his philosophy that best campaigns don't use AI for messaging at all (AI shines at research/clicking stuff not writing, helps salespeople talk with people more). Harshil shares his journey from hard-tech hardware entrepreneurship building wearables for powerlifters (failed due to technical issues), doing Amazon FBA and various businesses, cold emailing for chief of staff role where interviewer said "you have good prospecting skills, go into sales" (didn't even know what prospecting was), discovering Clay in Feb 2024 putting prospecting skills on steroids. He predicts not thinking years or months ahead (just focus on this week's problems), not trying new tools unless current tech stack can't solve problem (even if 2x-3x better, need 10x difference to switch), email getting harder over time like all marketing channels, cold calling having best ROI with people getting tons of meetings, and bar being pretty low to write nice cold email (friends get irrelevant pitches on X/LinkedIn constantly). Harshil's advice: learn basics first if zero sales/RevOps background—figure out which GTM engineering path (wide field), learn fundamentals like what salespeople do daily and how they write messaging, then learn tools—he did opposite learning Clay first then realizing "I don't know what enrichment is, just clicking buttons" so learn fundamentals before tools. 

Enjoy 🙂

(00:00) Introduction to Outbound Wizards 
(00:32) What Clay Consultancy Does: Outbound for $20M+ ARR Teams 
(01:55) Creative Campaigns: Handwritten Notes, Gamma API, SEO Dashboards 
(03:49) AI Shines at Research Not Messaging (Best Campaigns Don't Use AI) 
(05:20) Journey: Hardware Wearables to Amazon FBA to Discovering Clay 
(06:00) Chief of Staff Interview: "You Have Good Prospecting Skills" 
(06:56) Future Prediction: Focus This Week, Not Months/Years 
(07:42) Cold Calling Best ROI, Bar Low for Nice Cold Email 
(09:08) Advice: Learn Fundamentals Before Tools (Wide GTM Engineering Path) 
(10:22) Closing and Contact Information

🔗 CONNECT WITH HARSHIL

👥 LinkedIn
🐦 X (Twitter)

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.

We explore his philosophy that best results come from way simpler workflows than you think (two Clay tables max, just Apollo scrape with right strategy), most successful clients having Alex Hormozi offer creation sequence sorted with clear unique advantages and case studies plus sales team that can close, then getting them in front of right people with simple message without crazy personalizations like treating someone to dinner—top 50-60% of clients consistently getting 5-6 meetings daily with 95% same copy and one-two industry personalization variables, and most creative workflows being for unique qualification like AI data company extracting exact instructions from internal documentation showing how clients import data to connect with offer. Harvey shares his journey Googling "how to get rich" at 20 hating college, getting into sales closing for dating coaches (never used it, had girlfriend then and now), dropping out hopping around lead gen world, meeting Enzo becoming third GTM engineer at C17 July 2024, growing from 4 to 20 people in year and half, and going from sleeping on couch to good apartments and vacation. He predicts specialization happening—are you better at strategy, automation/tech/execution, or RevOps backend enabling sales teams—space always answering three questions (how to get best data with things getting harder/secured, figure out strategy knowing what tools to use, build best offer because good offer means tools don't matter as they're just amplifiers), and best GTM strategists getting into helping improve offers/lead magnets making booking calls easier. Harvey's advice: learn basics from YouTube/Clay bootcamps but real world teaches more—get domains, run campaigns for fake clients if needed, write copy and offers learning from that end because GTM engineer is hot role paying a lot so get those skills up. 

Enjoy 🙂

(00:00) Introduction to Outbound Wizards 
(00:23) What C17 Labs Does: Getting Qualified Leads at Scale 
(02:42) Creative Campaigns: Simple Workflows Over Complex Tables 
(04:01) Most Successful: Good Offer, Right Targeting, Simple 2-Table Max 
(06:02) Most Creative: Unique Qualification for AI Data Company 
(08:02) Client Selection Like VCs: Best Offers Scale Simply 
(10:03) Journey: Googling "How to Get Rich" at 20, Closing for Dating Coaches 
(11:02) Meeting Enzo, Joining C17 (4 to 20 People in Year and Half) 
(12:12) Future Prediction: Specialization (Strategy vs Automation vs RevOps) 
(13:27) Three Questions: Best Data, Strategy, Build Best Offer 
(15:52) Advice: Learn Basics Then Get Real World Experience 
(17:14) Closing and Contact Information

🔗 CONNECT WITH HARVEY

👥 LinkedIn
🏢 Website

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.

We explore his Swiss law tech campaign targeting AI-averse old partners vs AI-native new grads, scraping law firm directories, using AI vision to approximate age ("how old does this person look?") via LinkedIn graduation dates and profile photos, translating outbound to German/French based on location—getting 40% reply rate because lawyers check inbox in minutes with polite rejections vs SF founders saying "get off my list" with expletives. Elias shares his journey launching VC-backed employee wellbeing startup (vitamin not painkiller—buyers getting fired during 2021-2022 economic crash with no budget), discovering Clay after final_final_no_for_real_this_time.csv workflow realizing he could handle dozens of customers, meeting Justin (Kiln) on Twitter, joining Kiln as first GTM engineer then head (best year ever), and launching Cleanroom while working with Kiln on educational side. He predicts Clay dominating (anyone can use it but experts 10X-100X results), bifurcation with cloud code/cursor making it easier to tell AI than click buttons (shift back from low-code), hackers building code-first GTM agencies with better speed/cost vs enterprises wanting stable maintainable tools, and computing history rhyming. Elias's advice: GTM engineering has super low paid ($1K-$2K/month) or senior Anthropic/OpenAI roles with no real middle class yet, go freelancer/agency route to gain experience, step across river of cringe posting on Twitter/LinkedIn building stuff publicly—everything you want is on other side of cringe. 

Enjoy 🙂

(00:00) Introduction to Outbound Wizards 
(00:34) What Cleanroom Does: AI-Powered CRM Data Cleaning 
(02:38) Swiss Law Tech Campaign (AI Vision for Age Approximation) 
(06:47) Native Language Translation (40% Reply Rate) 
(09:17) Journey: Employee Wellbeing Startup (Vitamin Not Painkiller) 
(11:27) Discovering Clay After final_final_no_for_real_this_time.csv 
(14:15) Future Prediction: Clay Dominating, Cloud Code Bifurcation 
(21:25) Advice: No Real Middle Class, Go Freelancer/Agency Route 
(27:06) Step Across River of Cringe, Build Publicly 
(29:44) Closing and Contact Information

🔗 CONNECT WITH ELIAS

👥 LinkedIn
💻 Website

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.

We explore her roofing/real estate client system building a 24/7 lead matcher pulling roof repair requests from forms/scrapes qualified by AI calls, using webhook to push leads to custom matcher scraping Google Maps in 30-mile radius with Cheerio filtering residential vs commercial before enriching contacts via Apollo/SnowEye/Apify, sending AI personalized emails through Klaviyo with AI calls and SMS follow-ups via Make.com if no reply in 3 hours, plus AI layer learning from behavior/past code logs—same logic for real estate off-market leads triggering outreach to investors based on patterns. Ilayda shares her journey working with 50+ companies across SaaS/FinTech/e-commerce starting with social media automation pre-AI era, paid ads, shifting to B2B but keeping B2C perspective (mixed clients benefit from both), doing master's in innovation and marketing learning SQL, and now coding doesn't require being too technical anymore. She predicts tools changing drastically in next six months with AI getting personalized from scratch (agents, smart AI clouds), Clay adding personalization with Sculptor pulling lists automatically, and time-is-money mindset eliminating noise. Ilayda's advice: check latest trends (Cloud Code, Exa, Clay), follow four essentials—identify bottleneck, map ideal process, build automation in layers, test/iterate/optimize (nobody pulls best campaign first trial), learn n8n or Make.com, observe best-performing SDR output to clone their process, network and watch what geniuses are doing, and enjoy the creative flow because it's a fun field. 

Enjoy 🙂

(00:00) Introduction to Outbound Wizards 
(00:44) What a GTM Systems Engineer Does: Custom Systems Beyond Campaigns 
(02:34) Cutting Noise with Systemized Prospecting (Budget-Efficient) 
(06:46) Creative System: Roofing/Real Estate 24/7 Lead Matcher 
(08:19) Custom Matcher Scraping Google Maps with Cheerio 
(09:09) AI Calls and SMS Follow-Ups via Make.com 
(14:32) Journey: 50+ Companies, Social Media Automation to B2B 
(16:03) Master's in Innovation and Marketing (SQL Learning) 
(17:12) Future Prediction: Tools Changing Drastically in 6 Months 
(18:13) Clay Adding Personalization with Sculptor 
(19:42) Advice: Follow Four Essentials, Learn n8n/Make.com 
(21:01) Observe Best SDR Output to Clone Process 
(23:06) Closing and Contact Information

🔗 CONNECT WITH ILAYDA

👥 LinkedIn 

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.

We explore his RB2B campaign for a $25M CRM company getting 50K monthly visitors, segmenting in Clay into ICP vs non-ICP with department-specific instantly campaigns - discovering most traffic was bot traffic (harsh realization, refund), and his book-writing campaign for course creators going from 0.9% to 7% reply rate (53 meetings Q1) by scraping Favicon database, using Claygent to write two personalized book ideas selling dream outcome ("be thought leader in fitness"), attacking emotion without pitching calls, and sending 20K personalized emails applying Alex Hormozi principles. Anas shares his journey entering cold email October 2023 through Apollo's spam-the-TAM approach, discovering Clay thinking it was fluff, realizing it was "spreadsheets on steroids" eliminating CSV exports, attending Clay's Bangalore event, and seeing bright future with recent CDC raise. He predicts bright future but could be roller coaster - stay focused on client goals, keep stacking skills, don't marry Clay because GTM engineer concept stays (you build systems, Clay is just a tool). Anas's advice: learn marketing principles first (benefits not features), read Alex Hormozi and copywriting books before touching Clay - don't learn Clay first then try impressing clients with complex enrichments (good for LinkedIn, impresses no one in real world). 

Enjoy 🙂

(00:00) Introduction to Outbound Wizards 
(00:29) What Outbound Company Does: Booking Meetings for B2B 
(01:37) The Process: Reverse Engineering from End Goal 
(02:56) Creative Campaign: RB2B Traffic Segmentation (Bot Traffic Discovery) 
(05:15) Book-Writing Campaign: 0.9% to 7% Reply Rate (53 Meetings) 
(07:37) Selling Dream Outcome (Alex Hormozi Principles) 
(08:56) Journey: October 2023, Apollo to Clay Discovery 
(10:14) Clay as "Spreadsheets on Steroids" 
(10:38) Advice: Learn Marketing Principles Before Tools 
(12:44) Future Prediction: Bright But Could Be Roller Coaster 
(13:17) GTM Engineer Concept vs Clay Tool 
(14:02) Closing and Contact Information

🔗 CONNECT WITH ANAS

👥 LinkedIn
💻 Website 

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.

We explore his creative OMR conference campaign where co-founder Moritz spoke to 5,000 people showing a QR code on green cassettes with AI-generated songs, collecting LinkedIn profiles to build Clay tables researching everything about each person and creating custom landing pages in old Windows design (nostalgic 2011-2012 feel) - getting 3,000 scans and email addresses. Nicolas shares his journey from McKinsey consultant not seeing value created ("if I'm working these hours, I want to do it for myself"), working full-cycle sales doing 150 cold calls daily trying to be funny (difficult), testing 50+ tools, discovering Clay's magic of native integrations and Claygent accessibility, and becoming Clay community lead for Berlin organizing quarterly events with 100+ people. He predicts cold outreach won't die (people say "outbound is dead" for years but as long as email exists we'll find ways), LinkedIn outreach becoming more relevant with higher reply rates through conversational content, fulfillment becoming easier commodity with MCP/Sculptor, and GTM engineers focusing on architecture/systems/logic over low-level coding - hiring for social skills and listening ability to translate business needs into workflows. Nicolas's advice: get hands dirty and break things, join an agency to see different problems, think about strategy before building (don't automate for automation's sake), and be a sparring partner who thinks like the client. 

Enjoy 🙂

(00:00) Introduction to Outbound Wizards 
(00:29) What Scalantec Does: GTM Systems for B2B with PMF 
(04:09) Creative Campaign: OMR Conference Green Cassettes QR Code 
(07:43) Journey: McKinsey to Full-Cycle Sales (150 Cold Calls Daily) 
(10:11) Testing 50+ Tools, Discovering Clay 
(11:27) Clay Community Lead Berlin (100+ People Events) 
(14:27) Future Prediction: Cold Outreach Won't Die 
(18:13) Fulfillment Becoming Easier Commodity 
(21:12) Advice: Get Hands Dirty, Join Agency, Think Before Building 
(24:18) Closing and Contact Information

🔗 CONNECT WITH NICOLAS

👥 LinkedIn
💻 Website 

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.

We explore his highest-impact campaigns focusing on CRM job change monitoring (reaching people in newly relevant positions) and event-based outreach for manufacturing clients selling to Coca-Cola and Unilever—because high-value plastic packaging deals don't happen from cold emails but from relationships and brand reputation built face-to-face. Mariijn shares his journey working for Dutch growth marketing agencies feeling the work was too broad (creating website pages, LinkedIn ads, Google optimization), discovering Webflow then Clay two years ago with light bulb moments, realizing his strongest positioning is growth marketing background over technical expertise, hiring a Clay expert within months, and focusing on creativity and strategy because vibe coding makes technical skills less differentiating. He predicts Clay positioning as the front end with more tools leveraging it (easier legal approval), more integrations like Hayreach with SmartLead/Instantly, less spam through better targeting (irrelevant messaging is the problem), and ABM approach placing larger financial bets on high-potential leads instead of shotgun spray. Marijn's advice: fundamentals before technical expertise, don't just watch videos and copy—learn by doing, think cross-functional beyond outbound (customer support, marketing, Gong scripts for product dashboarding), and niche down to speak the same language. 

Enjoy 🙂

(00:00) Introduction to Outbound Wizards 
(00:29) What LeadGem Does: Three Core Industries 
(01:52) The Process: ICP Matrixes, Monthly A-B Testing 
(03:39) Highest-Impact Campaign: CRM Job Change Monitoring 
(04:43) Event-Based Outreach for Manufacturing (High-Value Deals Need Face-to-Face) 
(07:18) Journey: Growth Marketing Agencies to Webflow to Clay 
(08:49) Positioning: Growth Marketing Background Over Technical Expertise 
(10:30) Future Prediction: Clay as Front End, More Integrations 
(12:35) ABM Making a Comeback (Larger Bets on High-Potential Leads) 
(13:27) Advice: Fundamentals Before Technical Expertise 
(14:40) Think Cross-Functional Beyond Outbound 
(17:14) Closing and Contact Information

🔗 CONNECT WITH MARIJN

👥 LinkedIn
💻 Website 

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.

We explore his creative campaign for a sales engagement platform targeting SMBs, setting 10 meetings daily purely through email by scraping every directory (Clutch, Good Firms, 7-8 more), finding emails from websites using Clearbit instead of Apollo (website emails get 300 sends per positive response vs Apollo's 1,200-1,300 because SMBs monitor their website inbox daily), keeping copy simple without heavy personalization ("I can see you help these guys, you probably need X leads monthly, we can do Y for you—interesting?"), and scaling to 80,000 emails daily (50K+ businesses from Apollo, clutch, Facebook pages, deduping down to 400-500K max) by only sending one email per prospect and re-engaging after two months. Deepak shares his journey from consulting to joining Bangalore founder-office roles doing everything except development (growth, marketing, sales, product) for 1.5 years, deciding to go solo, turning his job into a client, taking on 2-3 more friends from BITS Pilani doing startups, building case studies reaching out to agency clients via Instantly, working with 10-12 clients monthly who commit for a year, and recently entering SaaS (easier than agencies because better offers and specific targeting around problem-based ICP vs everyone having ICP problems). He predicts the future stays the same as the past six months—Gmail/Outlook increasing barriers while new solutions emerge, aged domains with transactional volume bypassing restrictions (you can send pictures if domain has history), and vertical-specific AI trained on playbooks for selling SEO/PPC agencies potentially getting better than humans (like Canva vs Figma—Clay is Figma for experts, room for Canva with specific templates). Deepak's advice: create 20-25 YouTube videos showing you're serious, learn Instantly/Clay/APIs, list 1,000 cold email agencies and reach out with your YouTube link (won't land in spam), land internships working free if needed, enter an agency for six months working on 20+ clients—you'll become an expert, nothing more to it. 

Enjoy 🙂

(00:00) Introduction to Outbound Wizards 
(00:31) What a Freelance GTM Engineer Does 
(01:31) Understanding What to Send and Who to Target (Experimentation) 
(03:52) Creative Campaign: Sales Engagement Platform for SMBs 
(05:18) Scraping Directories, Website Emails vs Apollo (300 vs 1,200 Sends) 
(06:21) Simple Copy Without Heavy Personalization for SMBs 
(08:10) Strategy: Scrape Apollo at 5X, Take Prospects Without Emails 
(08:50) Getting to 80,000 Emails Daily via Multiple Directories 
(10:26) Journey: Consulting to Bangalore Founder-Office Roles 
(11:12) Turning Job Into Client, Taking BITS Pilani Friends 
(12:36) SaaS Easier Than Agencies (Better Offers, Problem-Based ICP) 
(13:25) Future Prediction: Same as Past Six Months 
(14:24) Aged Domains with Transactional Volume Bypass Restrictions 
(15:07) Vertical-Specific AI Trained on Playbooks (Canva vs Figma Analogy) 
(17:05) Advice: Create 20-25 YouTube Videos, Reach 1,000 Agencies 
(18:15) Land Internships (Free if Needed), Work 20+ Clients in Six Months 
(19:00) Closing and Contact Information

🔗 CONNECT WITH DEEPAK
 
👥 LinkedIn

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.

We explore his creative approach to list building that traditionally required hiring SDRs for manual research, now automated through Clay by deeply understanding org charts (not just job titles) and mapping each node's KPIs and directions, using conditional formulas for accounts and persons, and building AI projects that become agents with full context on offer, targeting, person, company, region, and demographics - writing cold emails that feel relevant and written only for you (not mass-generated). Alex shares his journey from B2B SDR selling perfumes to retail and hotel chains, moving to tech selling dev services, discovering GPT and starting to experiment, becoming a freelancer on Upwork as fractional SDR for companies outside Bucharest, taking more projects than he could handle, and hiring other freelancers to form the agency Authbound. He predicts two scenarios: businesses that don't adopt technology fast or think outside traditional channels will die, while those with right technology, operators, and AI thinking outside the box will win (whoever owns the data wins), and the biggest bottleneck will be hiring operators - juniors coming out of school face a challenging market because automation replaced tasks they used to do, forcing them to either start their own journey or accept demanding jobs with little pay. Alex's advice: you don't start as GTM engineer, you become one by being curious - you need background in sales, marketing, or revenue ops to understand the bigger picture before learning technology (transition takes weeks with experience, years without). 

Enjoy 🙂

(00:00) Introduction to Outbound Wizards 
(00:30) What Authbound Does: GTM Advisory Over Lead Gen 
(02:17) Campaign Trackers for Cross-Team Clarity 
(04:37) Creative Campaign: Automating List Building That Required SDRs 
(06:55) Creativeness in Logic, Not Just Enrichments 
(07:29) Mapping Org Charts (Not Just Job Titles) 
(08:15) Building AI Projects That Become Agents with Full Context 
(09:30) Journey: B2B SDR Selling Perfumes to Hotels 
(10:00) Discovering GPT, Freelancing on Upwork 
(10:44) Taking Too Many Projects, Hiring Freelancers 
(11:10) Future Prediction: Adopt Technology or Die 
(12:19) Whoever Owns the Data Wins 
(12:49) Biggest Bottleneck: Hiring Operators (Not Juniors) 
(13:34) Advice: You Become GTM Engineer by Being Curious (Need Background First) 
(15:00) Closing and Contact Information

🔗 CONNECT WITH ALEX

👥 LinkedIn

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.

We explore his creative Firecrawl campaign scraping privacy policy update dates from websites (getting 92% coverage after failing with AI agents that hallucinated and hitting bot protection walls), and his Doc.us campaign layering customer and prospect logos onto product screenshots using DynaPictures - testing "effort as a proxy for trust" by sending a clean-up email first before the image email to avoid bouncing image-heavy messages. Eishan shares his journey from engineering student in 2022 reading sales books on Reddit's r/sales list, interning at Trika Equity where he first saw CSV-to-HubSpot sequences generate deal flow ("free money"), using cold email to land his first job at Safety Wing (Y Combinator), going founding SDR at Hatika to learn email deliverability (DKIM, SPF, CNAME), joining Remote.com and realizing bad data kills velocity everywhere regardless of team size, and going fully freelance to help teams fix data quality - working with people like Brendan Short (Signal newsletter). He predicts GTM engineers will keep growing because startups want velocity over titles, tooling will shift toward terminal-based LLMs with interoperable context-saving across different models (lower cost, faster calls, deterministic results), and everything eventually becomes SaaS because someone always needs to maintain the code. Eishan's advice: if you're from sales, automate things inside your own company first; if you're new, start small with projects that eliminate annoyances, jump into Clay's Slack answering support questions, and stay curious about edge cases - slightly better reliability compounds into something game-changing. 

Enjoy 🙂

(00:00) Introduction to Outbound Wizards 
(00:54) What a GTM Operator Does: Ownership Over Expertise 
(02:09) Segmenting by Pain (Sandler Sales Philosophy) 
(04:28) Creative Campaign: Firecrawl for Privacy Policy Update Dates 
(07:01) Doc.us Campaign: Layering Logos onto Screenshots (Effort as Proxy for Trust) 
(09:45) Journey: Engineering Student, Reddit r/Sales Reading List 
(10:55) Interning at Trika Equity ("Send Emails, Get Money") 
(11:48) Landing First Job at Safety Wing via Cold Email 
(12:09) Founding SDR at Hatika: Learning Email Deliverability Deeply 
(13:09) Remote.com: Bad Data Kills Velocity Everywhere 
(14:30) Going Fully Freelance to Fix Data Quality 
(15:27) Future Prediction: GTM Engineers Here for the Long Term 
(16:12) Interoperable Terminal-Based LLMs Replacing Locked Paradigms 
(18:49) Everything Becomes SaaS Because Code Needs Maintaining 
(19:25) Advice: Automate Inside Your Own Company First 
(20:39) Jump into Clay's Slack, Answer Stranger's Questions 
(21:14) Stay Curious About Edge Cases and Slightly Better Reliability 
(22:09) Closing and Contact Information

🔗 CONNECT WITH EISHAN

👥 LinkedIn

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.

We explore his champion tracking play pulling Salesforce opportunities to check if past champions moved companies (auto-sending Slack notifications to reps saying "your champion moved, reach out today"), his web reveal play de-anonymizing website visitors via Midbound/Vector, sending data to Clay via webhook to qualify and enrich in real time, and cross-referencing visitors against target account lists to identify high-intent patterns months later. Shawn shares his remarkable journey from running a plumbing company with his father for 10 years, moving to Israel and pivoting into tech, landing at hyper-growth DealHub as an SDR under mentor Jeremy Levine, consistently hitting quota through cold calling and mining old Salesforce records for low-hanging fruit, learning Clay through Nathan Lippe's Clay Bootcamp course one year ago, posting his learning journey on LinkedIn, taking a founding BDR role to get a clean-slate experience, coaching startups one-on-one on Clay implementation, and eventually joining RevPartners where he's now operationalizing playbooks and hiring the next wave of GTMEs. He predicts the future is about better signal quality, cleaner CRM feedback loops, and AI used for reasoning not just generation - with SDRs and RevOps people best positioned to win because they already understand business logic and just need the technical leverage. Shawn's advice: build your own HubSpot motion, push data live, break things and fix them - you don't become a GTM engineer by watching videos, you become one by shipping things. 

Enjoy 🙂

(00:00) Introduction to Outbound Wizards 
(00:30) What RevPartners Does: RevOps + All-Bound Motion 
(01:37) The Process: Building Email Infrastructure Before First SDR Hire 
(02:53) Creative Campaign: Alumni Champion Tracking Play 
(05:51) Web Reveal Play: De-Anonymizing Website Visitors in Real Time 
(07:28) Cross-Referencing Website Visitors Against Target Account Lists 
(09:00) Clay Gets Stereotyped as a Cold Email Tool (It's Much More) 
(09:56) Journey: 10 Years Running a Plumbing Company 
(10:19) Moving to Israel, Pivoting to SDR at DealHub 
(11:15) Hitting Quota by Mining Old Salesforce Records 
(12:27) Learning Clay Through Nathan Lippe's Clay Bootcamp 
(13:09) Coaching Startups One-on-One After Leaving Founding BDR Role 
(14:10) Joining RevPartners as First GTME Hire 
(15:44) Future Prediction: Signal Quality, CRM Feedback Loops, AI for Reasoning 
(16:29) SDRs Best Positioned to Win (Business Logic + Technical Leverage) 
(17:44) Advice: Build Your Own Motion, Ship Things, Break and Fix Them 
(19:24) Closing and Contact Information

🔗 CONNECT WITH SHAWN

👥 LinkedIn
💻 Website

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.

We explore his creative Clay table for construction companies that scraped websites to semantically categorize sub-verticals (swimming pool builders vs general contractors vs gardeners), scored digital maturity, and generated hyper-local copy referencing nearby clients - and his event-based campaign scraping LinkedIn for SaaS conference keywords and auto-connecting with attendees at near 100% acceptance rate. Olivier shares his journey from discovering commercial fluency during a Romanian IT internship, prospecting via phone (calling 50-60 people in two days to find what resonates), using Lemlist to automate follow-ups while calling engagers, outperforming entire 5-person SDR teams by booking 20 meetings weekly alone, realizing companies always want closers but never have pipeline systems, and finally starting Outbound Catalyst in late 2023 after seeing Clay multiply his leverage. He predicts end-to-end automation of list building in five years (only true engineers who understand full systems will remain), warns against thousand-node n8n workflow FOMO (like Instagram six-pack abs giving companies "AI image issues"), and says winners always start with the constraint not the tool. Olivier's advice: stop asking "how can I use this tool?" and start asking "what is actually costing me time and creating real business impact?" 

Enjoy 🙂

(00:00) Introduction to Outbound Wizards 
(00:33) What Outbound Catalyst Does: GTM Systems for SaaS ($1M-$15M ARR) 
(02:14) The Process: Go-To-Market Scan Before Launching Campaigns 
(03:27) Creative Campaign: Semantic Sub-Vertical Categorization for Construction 
(05:46) Event-Based Campaign: LinkedIn Keyword Scraping for SaaS Conference 
(07:35) Rebuilding Trigify's Core Functionality Without the Tool 
(09:07) Journey: Romanian Internship, Discovering Commercial Fluency 
(10:21) Prospecting via Phone (50-60 Calls, Then Putting It in Email) 
(12:03) Outperforming 5-Person SDR Teams Booking 20 Meetings Weekly Alone 
(13:11) Realizing Companies Need Pipeline Systems Before Salespeople 
(14:18) Starting Outbound Catalyst in Late 2023 After Discovering Clay 
(17:01) Future Prediction: List Building Fully Automated in Five Years 
(18:30) Warning Against Thousand-Node n8n Workflow FOMO 
(20:54) Advice: Start With the Constraint, Not the Tool 
(22:34) Closing and Contact Information

🔗 CONNECT WITH OLIVIER
 
👥 LinkedIn

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.

We explore his intent-based approach focusing on new role signals (best performer because people need to prove something), scraping entire TAM from Apollo/Crunchbase/Clutch, doubling down on lead magnets and short two-liners after testing, and his philosophy of sending 5,000-10,000 emails minimum before drawing conclusions. Anirudh shares his lead magnet framework breaking services into microservices (give lead list free to create demand for infrastructure and sequences), automating creation with n8n/SERPA/Perplexity API, using pain-point CTAs like "if price is right, would you sell?" instead of "can we get on a call?" (worst CTA unless you're Elon Musk), and his journey from viral LinkedIn post (3-4M impressions) to ghostwriting, discovering cold email while searching for lead gen, starting with 50-60 emails daily, closing Confluencer (India's biggest influencer marketing agency), pivoting after high churn, learning Clay from Eric Nowoslawski's YouTube, failing badly for first clients, joining RevGen Labs as junior GTM engineer and leaving as head of GTM, and posting Udemy courses not for revenue but client inquiries. Anirudh's advice: focus on volume and relevance over crazy personalizations, break services into microservices for scalable lead magnets, and test minimum 5-10K emails. 

Enjoy 🙂

(00:00) Introduction to Outbound Wizards
(00:25) Anirudh's Role at Instantly: Heading Outbound
(02:14) Testing Creative Angles at High Volume
(04:02) Scraping Entire TAM from Multiple Directories
(06:17) Fully Automated New Role Workflow
(09:06) Building Internal Apps with Cursor
(12:11) Copy Testing: Pain-Point CTAs vs Lead Magnets
(14:25) Lead Magnet Framework: Breaking Services into Microservices
(19:15) Three Types of Sequences Tested
(22:19) Test Minimum 5-10K Emails Before Conclusions
(23:08) Journey: Viral LinkedIn Post to Ghostwriting
(26:03) Closing Confluencer and Hitting Stagnation
(28:43) RevGen Labs: Junior to Head of GTM
(29:32) Posting Courses on Udemy for Client Inquiries

🔗 CONNECT WITH ANIRUDH
 
👥 LinkedIn

🔗 CONNECT WITH SAURAV

🎥 YouTube Channel

🐦 X (Twitter)

📸 Instagram

💻 Website

👥 LinkedIn
📧 Email - saurabh@salesrobot.co

🙏 LEAVE A REVIEW
 If you enjoyed listening to the podcast, we'd love for you to leave a 5-star review on Apple Podcasts to help others discover the show :)

👋🏼 GET IN TOUCH
 You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes.