In today's episode, I chat with Carlos Iborra, founder at Sales Titans, about running outsourced B2B cold calling for SMEs and startups across every vertical - from AI agents and flow automations to machinery suppliers and fresh produce - using advanced tooling to automate internal processes while keeping the human touch exactly where it matters: the actual conversation. 

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 - [email protected]

🙏 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.

In today's episode, I chat with Kartik, GTM Engineer at Love Social Media, about running LinkedIn outreach for B2B SaaS, healthcare, and IT services clients - planning outreach strategies based on target market, scaling outbound efforts across LinkedIn using multiple tools, and always starting with a founder call to extract the real pain points no one else in the company can articulate. 

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 - [email protected]

🙏 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.

In today's episode, I chat with Sid Singh, Worldwide GTM Lead at NetApp, about applying AI to go-to-market strategy at a global scale - balancing localization across North America, EMEA, and India while driving end-to-end workflow adoption across sales teams. 

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 - [email protected]

🙏 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.

In today's episode, I chat with Daniel Trujillo, founder at Conexión Real (lead gen agency in Latin America), about bridging SaaS companies from Chile/Argentina/Colombia/Peru/Brazil into Mexico and US markets with multi-channel outbound maintaining human connection through events, and how Latin America is like 2019 US discovering SDR/BDR specialization since account executives traditionally do entire year. 

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 - [email protected]

🙏 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.

In today's episode, I chat with Zach, GTM engineer at Instruqt (cloud sandboxes for developer learning), about shifting from quantity to quality with small TAM targeting hard-to-reach developers—doing as little as possible making offer as best as possible (less is more depends on market/business model). 

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 - [email protected]

🙏 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.

In today's episode, I chat with Harshil Bhimani, founder at Clay Consultancy, about helping B2B sales-led teams do outbound and implement GTM systems (mostly $20M+ ARR mid-corporations either scaling outbound knowing what message works with which audience, or testing outbound to find which segment/offer works—the fun part requiring lots of messaging testing). 

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 - [email protected]

🙏 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.

In today's episode, I chat with Harvey, head of fulfillment at C17 Labs, about getting qualified leads and booking appointments at scale for professional service teams with figured-out offers and good sales teams—working with clients like lawyers building personal brands (first sale in 3 days worth 13 leads) through simple workflows not complex 12-13 step tables seen on LinkedIn. 

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 - [email protected]

🙏 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.

In today's episode, I chat with Elias Stråvik, founder at Cleanroom (AI-powered CRM data cleaning), about solving the unsexy problem he faced as GTM engineer—clients asking to enrich CRM but Clay lookups returning six results in a cell, realizing good data makes him 10x effective but hard to set deduplication rules across rows, so he built next-gen tool using AI just for this problem. 

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 - [email protected]

🙏 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.

In today's episode, I chat with Ilayda, principal GTM systems engineer, about building custom systems beyond just launching campaigns—creating custom scrapers, internal app patches, and systems running in client's cloud for security (multinational companies prefer this), cutting noise by building systemized prospecting that's budget-efficient instead of traditional tools costing a fortune with poor ROI. 

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 - [email protected]

🙏 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.

In today's episode, I chat with Anas, founder at Outbound Company, about avoiding fancy automations built for the sake of it - reverse engineering from meetings/pipeline/revenue goals instead of chasing Clay credit savings, running lookalike campaigns, resurrection campaigns, vertical plays, and RB2B with Clay as orchestration. 

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 - [email protected]

🙏 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.