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Cold Email Basics Nobody Teaches You ft. Gerda Ance Rieksta
May 5, 2026
14m 42s
Lazy People Make The Best Growth Hackers ft. Jan Strøm
May 4, 2026
14m 12s
Your ‘Perfect’ Campaign Will Fail ft. Felipe Soza
May 4, 2026
12m 42s
AI Is Not Your GTM Strategy ft. Kumar Sahil
Apr 24, 2026
15m 32s
Complex AI Workflows Are Mostly Useless ft. Tanay Mishra
Apr 19, 2026
21m 59s
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| Date | Episode | Topics | Guests | Brands | Places | Keywords | Sponsor | Length | |
|---|---|---|---|---|---|---|---|---|---|
| 5/5/26 | ![]() Cold Email Basics Nobody Teaches You ft. Gerda Ance Rieksta | In today's episode, I chat with Gerda, from Leadprinter AI, about running end-to-end cold email systems for B2B companies across a surprisingly wide range of niches—SaaS, video agencies, investment firms, solar panels, real estate, conferences—with a bold guarantee of minimum 20 leads per month or extensions and refunds, which has only failed twice out of 200 clients. 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. | 14m 42s | ||||||
| 5/4/26 | ![]() Lazy People Make The Best Growth Hackers ft. Jan Strøm | In today's episode, I chat with Jan Strom, founder of VojVoj, about building a content creator platform that merges the monetization model of OnlyFans and Patreon with the discovery mechanics of TikTok and Meta—replacing the like button with a financial differentiator where every engagement costs real currency, so the algorithm rewards quality over quantity and creators start earning from day one. 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. | 14m 12s | ||||||
| 5/4/26 | ![]() Your ‘Perfect’ Campaign Will Fail ft. Felipe Soza✨ | GTM systemscold email+4 | Felipe Soza | Outreach EngineClay+3 | — | GTM systemscold email+4 | — | 12m 42s | |
| 4/24/26 | ![]() AI Is Not Your GTM Strategy ft. Kumar Sahil | In today's episode, I chat with Kumar Sahil, founder at Dwary Intech, about specializing in GTM for AI SaaS companies and product-based startups—a niche he jumped into early when the AI boom hit and realized that while everyone was talking about using AI, very few people understood how to use it to actually earn money and understand the market. 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. | 15m 32s | ||||||
| 4/19/26 | ![]() Complex AI Workflows Are Mostly Useless ft. Tanay Mishra | In today's episode, I chat with Tanay Mishra, Clay Coach at Clay Bootcamp, about accelerating people into GTM engineering through one-to-one personalized coaching—two weeks of structured self-learning followed by six weeks of twice-weekly sessions where coach and student build a real project together, creating demonstrable ROI and a portfolio piece by the time the program ends. 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. | 21m 59s | ||||||
| 4/18/26 | ![]() How Top GTM Engineers Actually Build Campaigns ft. David Tasev | In today's episode, I chat with David Tasev, GTM Engineer at Instantly, about what it actually looks like to run cold email campaigns from inside one of the biggest sending platforms in the world—taking clients from offer creation all the way through campaign optimization, and building playbooks that outlast any single trend. 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 :)👋🏼 GET IN TOUCH You can also reach out with any feedback, ideas or thoughts about the lessons you've learned from the episodes. | 24m 15s | ||||||
| 4/18/26 | ![]() Do Less, Sell More ft. Roshan Kathir | In today's episode, I chat with Roshan, co-founder at Kale Acquisition, about building cold email systems for companies selling to local businesses—and why staying deeply involved in the revenue conversation long after the lead is generated is what separates a growth partner from just another cold email agency. 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. | 21m 10s | ||||||
| 4/18/26 | ![]() Why Your LinkedIn Content Isn’t Making Money ft. Stijn Verhagen | In today's episode, I chat with Stijn Verhagen, founder at Course Launcher, about a very specific niche: established LinkedIn personal brands with B2B offers—agency owners, coaches, consultants—who already have attention but aren't converting it into revenue because their content, DMs, and conversion systems aren't working together. 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. | 13m 07s | ||||||
| 4/15/26 | ![]() GTM Is Revenue Engineering ft. Sergio Perea | In today's episode, I chat with Sergio Perea, founder at Boost Hero, about what he calls revenue engineering—treating GTM as a system, not a guessing game, by optimizing every part of the funnel from how leads enter to where deals slow down, with data, tools, and clear processes rather than random growth hacks. 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. | 14m 22s | ||||||
| 4/14/26 | ![]() AI Won’t Replace GTM ft. Daniel Lindenbaum | In today's episode, I chat with Daniel Lindenbaum, GTM engineer with nearly 15 years across sales, business development, and operations, about the insight that shaped his entire career: the biggest breakdowns in GTM aren't in the pitch or the delivery—they're in the handoffs between sales, ops, and client success, and that's exactly where GTM engineering lives. 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. | 26m 21s | ||||||
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| 4/13/26 | ![]() Inbound > Outbound? Hear It From a GTME ft. Omar El sayed | In today's episode, I chat with Omar, GTM Engineer at Flexcode, an Odoo partner operating across Europe and the GCC, about the research-heavy, high-stakes world of selling enterprise ERP implementations to C-suite buyers where you get exactly one shot and the work before outreach is double or triple the work after. 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. | 15m 07s | ||||||
| 4/13/26 | ![]() We Charge More And Clients Never Leave ft. Mike Ellis | In today's episode, I chat with Mike Ellis, co-founder at Kale Acquisition, about building end-to-end cold email systems for companies selling to local businesses—restaurants, home services, and anyone with a geographic dimension to their sales—and why the $1.5M in closed revenue they generated for their best client in about a year had nothing to do with a fancy Clay table and everything to do with offer clarity, deliverability, and staying inside the revenue conversation long after the lead was generated. 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. | 21m 01s | ||||||
| 4/10/26 | ![]() The Ferrari Analogy You NEED To Hear ft. Jordan Lange | In today's episode, I chat with Jordan Lange, founder at Axon, about building a product that solves the unsexy but showstopping problem underneath all GTM engineering: CRM data quality. Axon acts as an observability layer for HubSpot, identifying messy, duplicate, and missing records that break downstream automations—then cleaning them automatically. 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. | 18m 21s | ||||||
| 4/10/26 | ![]() Busy ≠ Productive ft. Johannes Fessler | In today's episode, I chat with Johannes Fessler, founder at Rocksolidleadgeneration, about four years of specializing in e-commerce marketplaces—booking 39 meetings in six weeks for Allegro (Europe's largest online marketplace), signing up 67 sellers in three and a half months, and going on to work with Temu and Onbuy—while also running mindset coaching for agency owners through Agency Velocity. 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. | 16m 47s | ||||||
| 4/9/26 | ![]() Your Funnel Is Backwards ft. Nate Calhoun | In today's episode, I chat with Nate Calhoun, founder at Inbox Accelerator, about a genuinely different business model in the cold email space—setting up clients' entire email infrastructure for free, getting paid as an affiliate at wholesale rates, so clients pay less than they would going direct while getting full setup support across sending software, email accounts, and data. 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. | 27m 45s | ||||||
| 4/4/26 | ![]() Turn AI Into an Operator, Not a Creator ft. Nik K. | In today's episode, I chat with Nik K., GTM Engineer at Postindustria, a custom software development company, about building an event-based outbound machine that booked 75 on-site meetings in a single month across multiple conferences. 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. | 21m 02s | ||||||
| 4/3/26 | ![]() Lead Gen Is NOT Your #1 Problem ft. Sahil Hossain | In today's episode, I chat with Sahil, fractional GTM engineer working with companies that have small TAMs—sometimes as tight as 1,500 accounts—where mass cold email doesn't make sense and the real value comes from building smart in-house GTM systems. 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. | 15m 30s | ||||||
| 4/3/26 | ![]() The Difference Between Builders & Operators ft. Terhile Ikyo | In today's episode, I chat with Terhile, fractional GTM engineer working across two clients in the UK and US, about doing GTM work across verticals most engineers never touch—e-commerce wholesalers, boutique shops, and brick-and-mortar businesses. 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. | 15m 11s | ||||||
| 4/3/26 | ![]() 4 Weeks Can Change Your Career ft. Lucas Paiva | In today's episode, I chat with Lucas Paiva, GTM Engineer at Scient, about building Brazil's GTM engineering ecosystem from the inside—Scient is a go-to-market consulting firm founded by Silicon Valley alumni who brought frameworks like Winning by Design to Brazilian companies doing 50M+ ARR, and Lucas sits at the intersection of their education arm, running a six-week GTM Engineer Certification program and growing the community of practitioners in a country where they've mapped only 20 people with the actual GTM engineer title and around 150 doing similar work without the name. 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. | 12m 52s | ||||||
| 4/3/26 | ![]() AI increased speed, not accuracy ft. Jéssica Aires | In today's episode, I chat with Jessica Aires, Growth and Marketing Lead at Abstra, about running B2B sales-led growth for a Brazilian finance automation SaaS targeting CFOs and finance managers—covering revenue operations, performance ads, outbound automation, and co-founder-led content all at once. 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. | 15m 28s | ||||||
| 4/2/26 | ![]() Stop Automating Everything ft. Darrio Dean | In today's episode, I chat with Dario Dean, GTM Engineer at Reach, about being the first GTM engineer hired at a merchant of record company helping SaaS and e-commerce businesses expand globally—and what it looks like to build GTM strategy from scratch in-house versus the rinse-and-repeat agency world he came from. 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. | 13m 02s | ||||||
| 4/1/26 | ![]() SDRs Are Changing ft. Dave Wilkins | In today's episode, I chat with Dave Wilkins, founder of SDR Leaders of EMEA (and USA and APAC), about his mission to define what the sales development function should look like in 2030—giving leaders from first-time managers to VPs running 250-plus person SDR orgs the roadmaps they need to evolve the role into the revenue-critical function it should be. 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. | 13m 22s | ||||||
| 3/31/26 | ![]() First-Party Data Is The New Moat ft. Clark Hess | In today's episode, I chat with Clark Hess, GTM Engineer at Supio, about building the entire go-to-market data infrastructure from the ground up at a legal AI startup—handling Clay, Gong, CRM architecture, and database-building for a very specific TAM: plaintiff personal injury attorneys in the United States, roughly 60,000 total. 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. | 14m 29s | ||||||
| 3/27/26 | ![]() Average GTM Is Dead ft. Filippo Greco | In today's episode, I chat with Filippo Greco, GTM Engineer at Yellow Tech, about building one of Italy's first AI-first companies—running AI adoption programs for businesses across Italy (interviews, classrooms, workshops, full 360-degree rollouts) while also building agents, automations, and Clay-based GTM systems for clients who are just beginning to understand what AI can actually do for them. 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. | 16m 59s | ||||||
| 3/27/26 | ![]() You’re Overcomplicating Outbound ft. Thomas McCourt | In today's episode, I chat with Thomas McCourt, founder at CalendarInvite, about running a B2B lead generation agency focused on small to medium marketing agencies—helping them build outbound systems through cold email and cold calling for clients who are great at marketing everyone else but have no formal offer or sales process for their own services. 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. | 25m 06s | ||||||
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