• Ep. 142 – Measuring AI ROI and Turning Adoption into Business Outcomes with Denis Scott - Part 2
    2026/09/02
    General Episode Description:In Part 2 of this conversation, Denis Scott continues the discussion by exploring what AI accountability looks like inside boardrooms, executive teams, and private equity backed organizations. He explains why leaders must move beyond tracking AI adoption and begin measuring how AI investments contribute to business performance, operational efficiency, and long term enterprise value.The conversation also examines what separates AI mature organizations from those still experimenting with adoption. Denis shares why AI fluency is becoming a competitive advantage, how organizations can build stronger measurement frameworks, and why the future belongs to companies that combine human judgment with AI driven execution.What You’ll Learn:What boards expect to see when evaluating AI investmentWhy AI measurement is becoming essential during due diligence and company exitsHow AI maturity differs from simple AI adoptionWhy AI fluency creates stronger business outcomesHow marketing leaders can measure AI performance inside their teamsPractical ways organizations can improve AI adoption across departmentsWhy adaptability is becoming one of the most valuable leadership skillsHow to balance AI efficiency with human creativity and decision makingKey Topics:AI governanceAI measurementPrivate equity and AIBoard reportingAI fluencyEnterprise AI strategyMarketing leadershipBusiness outcomesAI adoptionOrganizational changeAI ROIExecutive leadershipGuest Spotlight: Denis ScottDenis Scott is the Chief Marketing Officer at Laradin, an AI execution intelligence company focused on helping organizations measure AI adoption, productivity, and business impact. Prior to Laradin, Denis held senior marketing leadership roles at OpenTable, Lyft, SurveyMonkey, Fanatics Betting and Gaming, CharterUp, and other leading technology companies, where he built data driven marketing organizations and enterprise growth strategies.Resources & Mentions:LaradinAI execution intelligenceAI fluencyAI ROIEnterprise AI measurementPrivate equity advisory🎧 Listen now and follow Selling Intelligence for more conversations with today’s leading revenue executives, AI innovators, and GTM leaders. Subscribe wherever you get your podcasts.Mark Petruzzi (00:00)Welcome back to Selling Intelligence. I'm Mark Petruzzi.Alan Rudolph (00:03)And I'm Alan Rudolph. This is part two with Dennis Scott, CMO of Laradin. Be sure to go back and listen to part one fascinating discussion. this broad, you know, where are we today in this in this AI world? But if you want to start here, let's bring you up to speed. Dennis Scott spent over 20 years in marketing at firms like Open Table and Lyft, SurveyMonkey, Fanatics, Betting, and Gaming before becoming CMO of Charter Up. In partOne, he told us what brought him into Laradin, an AI execution intelligence company built to answer the question most enterprises cannot answer today. Is the AI spend actually working? He walked us through why 72% of enterprises call AI adoption their biggest challenge. I mean, just fascinating data. And how does Laradin Scott platform reveal when companies finally see their ownAI usage data.Mark Petruzzi (00:59)So in part two, we get into the boardroom where we love to be. What this means for private equity bac pr private equity backed companies staring down an exit, and what it actually looks like on the other side once an organization gets measurement done right, whether they are a private equity portfolio company, other s medium sized organizations, or even the enterprise ones. We're all stressing andbeing challenged by the same things. Dennis, welcome back.Denis Scott (01:28)Thankyou for having me back. This is great. Yeah, I really enjoyed the conversation in the first one.Alan Rudolph (01:32)You know, Dennis, as I sit in board meetings where AI spend is being, addressed at a line item level, and sponsors are asking about measurement, about business value, and management teams are trying to defend what they did, why they did it, where where is my expense? Where's my capital allocation, etc.? What should a portfolio company CEO be able to show a board today that most simply cannot?Denis Scott (01:58)Yeah, this is exactly where our product lands often is in board conversations, right? And so we are finding that teams are leveraging our Larid and data to have those conversations. And so what they're really trying to show the board is is really the two thing, well, three things I should say. One, how has our organization adopted AI, So is it is it only engineering? Is it across functions? What what does it look like AI within within the the company?The second thing is, what does our spend look like on AI? AndAlan Rudolph (02:30)Mm.Denis Scott (02:31)that number, whatever that number may be, naturally that leads to, well, I don't know, is that good or bad? Are we spending enough or are we doing too little? so then that naturally leads to, well, what are the business ...
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    22 分
  • Ep. 141 – Measuring AI ROI and Turning Adoption into Business Outcomes with Denis Scott - Part 1
    2026/08/26
    General Episode Description:In this episode of Selling Intelligence, Denis Scott, Chief Marketing Officer at Laradin, joins Mark Petruzzi and Alan Rudolph to explore one of the biggest questions facing business leaders today: how do you measure whether AI is actually delivering business value?Drawing from his experience leading marketing at companies like OpenTable, Lyft, SurveyMonkey, and Fanatics, Denis explains why AI adoption is no longer enough. Organizations now need visibility into how AI is being used, where it creates measurable outcomes, and where it introduces unnecessary complexity. The conversation explores the challenges of measuring AI investments, hidden AI costs across organizations, and how executives can connect AI usage directly to business performance.What You’ll Learn:Why AI adoption alone is no longer a meaningful success metricHow organizations can connect AI usage to measurable business outcomesThe hidden AI costs most companies fail to trackWhy measuring AI proficiency matters more than measuring adoptionHow AI improves workflows when applied to the right business processesCommon mistakes organizations make when introducing AI into daily workWhy executive teams need visibility into enterprise wide AI usageHow AI measurement helps boards, CFOs, and executives make better investment decisionsKey Topics:AI measurement and ROIEnterprise AI adoptionAI proficiency versus adoptionHidden AI costsAI workflow optimizationMarketing leadershipExecutive decision makingAI governanceBusiness outcomesAI productivity measurementBoard reportingEnterprise technology strategyGuest Spotlight: Denis ScottDenis Scott is the Chief Marketing Officer at Laradin, an AI execution intelligence company focused on helping organizations measure AI adoption, productivity, and business impact. Prior to Laradin, Denis held senior marketing leadership roles at OpenTable, Lyft, SurveyMonkey, Fanatics Betting and Gaming, CharterUp, and other leading technology companies, where he built data driven marketing organizations and enterprise growth strategies.Resources & Mentions:LaradinComscoreOpenTableLyftSurveyMonkeyFanatics Betting and GamingCharterUpAI execution intelligenceAI ROI🎧 Listen now and follow Selling Intelligence for more conversations with today’s leading revenue executives, AI innovators, and GTM leaders. Subscribe wherever you get your podcasts.Mark Petruzzi (00:00)Welcome to Selling Intelligence. I'm Mark Petruzzi.Alan Rudolph (00:03)And I'm Alan Rudolph.Mark Petruzzi (00:04)Every company we work with has the same exact story right now. Budget is improved, tools rolled out, adoptions declared a win in some sort of a board deck, and almost nobody can tell you with real data whether any of it has moved the business at all.Alan Rudolph (00:22)Our guest built his career on the marketing side of some of the biggest consumer brands in tech, and now he's on the other side of that exact problem. Dennis Scott spent over 20 years leading marketing at Open Table, Lyft, SurveyMonkey, and Fanatics Betting and Gaming, and most recently served as CMO of Charter Up. He's now CMO of Laradin, an AI execution intelligence company built by the team that created the original.Digital Measurement Infrastructure at ComScore. Dennis, welcome to Selling Intelligence.Denis Scott (00:56)Hi everybody and Alan and Mark, thank you so much for having me. Excited to be here.Mark Petruzzi (01:00)Excellent. So we'll jump right into topic one. it and it's entitled From Consumer Marketplaces to AI Measurement, Dennis's Plant Path to Laradin. So, Dennis, you spent your career building brands people trust. they trust the the those companies with their money and their time. Companies like Open Table, Lyft, SurveyMonkey.What did you see that pulled you towards an enterprise AI measurement company at this point in your career?Denis Scott (01:27)Yeah, I think I've had the fortune of working for some great brands throughout my career, which has been an incredible experience. But one of the things that, as a marketing leader, you're always accountable for is really the the measurement, given that you're you're usually one of the largest line items on a PL. And as we all know, this AI explosion three years ago, none of us were really living in this world. And nowIt's sort of the topic of the day every day, every and so as a marketing leader, one of the problems I saw was this is really hard to quantify and understand. And how do we how do we figure this out? And so when I learned and heard about Laridan and the team that was running it, I almost ran to it living here in the Bay Area, being surrounded by this AI challenge and opportunity.To know that somebody is actually solving how do I think about this? How do I understand this? And how do I communicate this to leadership, to boards, to investors?Alan Rudolph (02:26)Awesome. great intro, Dennis. So Laridan's entire pitch is built on radical honesty. Love that comment about what'sDenis ...
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    27 分
  • Ep. 140 - How Great CROs Build Revenue Engines That Actually Scale with Lance Haffner - Part 2
    2026/08/19
    General Episode Description:In this episode of Selling Intelligence, Lance Haffner, Chief Revenue Officer at Papaya Global, returns to discuss one of the biggest challenges facing modern revenue leaders: creating demand for problems buyers do not yet recognize. He shares practical strategies for validating market fit, identifying the right buyer personas, building effective sales processes, and knowing when it’s time to pivot.The conversation also explores the growing trust deficit created by AI in sales. Lance explains why AI should enhance, not replace, human interactions, how revenue teams can use AI to improve forecasting and sales execution, and why speed, simplicity, and transparency are becoming essential competitive advantages. Finally, he shares leadership lessons from building a CRO organization from the ground up and the timeless sales disciplines every revenue leader should never overlook.What You’ll Learn:How to create demand when buyers don’t yet recognize the problem they haveWhy validating market fit should come before scaling go to market effortsThe importance of identifying the right buyer persona before refining messagingHow continuous feedback loops help improve sales messaging and executionWhy AI should remove friction instead of replacing human relationshipsPractical ways AI improves forecasting, pipeline management, and coachingHow to recognize when a go to market strategy needs to changeLeadership principles for building high performing revenue organizations from scratchKey Topics:Creating new market demandMarket fit validationBuyer persona strategySales methodology and discoveryRevenue operations feedback loopsAI enabled sales executionBuilding trust in an AI driven buying environmentPipeline management and forecastingRevenue leadershipCRO best practicesCustomer experienceSales process optimizationGuest Spotlight: Lance HaffnerLance Haffner is the Chief Revenue Officer at Papaya Global, where he leads the company’s global revenue organization through its next phase of growth. With leadership experience spanning staffing, HR technology, and enterprise SaaS, Lance is known for building scalable revenue functions, applying data driven decision making, and combining AI with disciplined sales execution to accelerate growth.Resources & Mentions:Papaya GlobalScott Kirby, CEO of United AirlinesAI enabled sales organizationsRevenue OperationsSales methodologies including SPICED and Challenger🎧 Listen now and follow Selling Intelligence for more conversations with today’s leading revenue executives, sales innovators, and GTM operators. Subscribe wherever you get your podcasts.Mark Petruzzi (00:36)Welcome back to Selling Intelligence. I'm Mark Petruzzi.KK Anderson (00:40)And I'm KK Anderson. This is part two with Lance Hafner, Chief Revenue Officer at Papaya Global. Be sure to go back and listen to part But if you want to start here, let us bring you quickly up to speed. Lance told us how he has moved from staffing sales into HR and then into revenue leadership by applying a business enablement mindset where he wherever he sat and what it's taken to build papaya's first ever CRO function.While the company shifts from years of product investment into a scale up phase.Mark Petruzzi (01:12)In part two, we get into how Lance is building demand for a problem most buyers don't know they have yet, the trust deficit. Lance is watching this show up directly into his AI enabled sales motion. And we'll go into and we'll analyze how he uses AI day in and day out to diagnose what's actually happening inside his sales team. Lance, welcome back.Lance Haffner (01:36)Thanks, Laura. Thanks, KK. Happy to be here again.Mark Petruzzi (01:39)Great. So yeah, let's jump into creating demand for a problem buyers do not know they have. you've compared the awareness problem you're facing to introducing a genuinely new category. How do you build go-to-market motion around the pain point most buyers don't even know they have yet?Lance Haffner (01:56)This is such a great question. And and it's it's it's been salient a few times in my my career. if you look back over the years and you look back at the new we as consumers, things that have been launched in the consumer market. I remember this this thing in in two thousand and six, seven, Apple releases the iPhone and we didn't even know we needed a handheld computer device that didn't have keys. In fact, it was absurd to think about it.I was a Blackberry fan to be honest, and I wanted my keys and I resisted for two years.Mark Petruzzi (02:26)Ha haKK Anderson (02:28)Was it clipped on your belt, Lance? Did you have it clipped on your belt?Lance Haffner (02:32)I look, I may have had a clip. Yes, I may have had a clip. yeah. I mean look, we can goMark Petruzzi (02:36)I'm not gonna admit to that, Lance.KK Anderson (02:38)yes you are.Lance Haffner (02:39)back to you, we can go back to the days you had the pager clipped, right? Not less, yeah, orMark Petruzzi (02:...
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    24 分
  • Ep. 139 - How Great CROs Build Revenue Engines That Actually Scale with Lance Haffner - Part 1
    2026/08/12
    General Description:The path to becoming a Chief Revenue Officer doesn’t always begin in sales. In this episode of Selling Intelligence, Lance Haffner, Chief Revenue Officer at Papaya Global, shares how an unconventional career through staffing, recruiting, and HR prepared him to lead one of the most important functions inside a modern SaaS company.Lance explains why great revenue leaders must think like business operators first and sales leaders second. Drawing on his experience as Papaya Global’s first CRO, he discusses how understanding talent, operations, and organizational strategy creates a stronger foundation for scaling revenue than focusing on sales alone.The conversation also explores the evolution of the CRO role, why today’s revenue leaders must oversee the entire revenue bow tie instead of just the sales funnel, and how Revenue Operations has become one of the most strategic functions in modern go-to-market organizations. Lance shares practical insights on aligning marketing, sales, customer success, and product while avoiding common scaling mistakes as companies expand into new markets.What You’ll Learn:Why some of the best CROs come from unconventional career pathsHow an HR background can create stronger business leadersThe difference between managing sales and leading revenueWhy the modern CRO owns the entire revenue lifecycleHow the revenue bow tie changes the way organizations scaleWhy Revenue Operations has become the CRO’s most strategic partnerHow to identify gaps across the entire customer journeyBest practices for expanding into enterprise, mid-market, and SMB segmentsWhy every go-to-market motion requires its own operating modelHow product, marketing, sales, and customer success must work together to drive growthKey Topics:Chief Revenue Officer responsibilitiesFrom HR to CROBusiness-first leadershipStrategic HRRevenue bow tieRevenue OperationsSales and marketing alignmentCustomer lifecycle managementSaaS revenue strategyEnterprise salesMid-market expansionSMB go-to-market strategyProduct marketingMarket segmentationRevenue growthOrganizational designScaling SaaS companiesPapaya GlobalGuest:Lance Haffner is Chief Revenue Officer at Papaya Global, where he leads the company’s global revenue organization. Before becoming CRO, Lance built his career across staffing, recruiting, HR leadership, general management, and revenue operations. His unique perspective allows him to connect talent strategy, business operations, and revenue growth into a unified go-to-market approach that helps organizations scale more effectively.Resources Mentioned:Papaya GlobalRevenue Bow Tie FrameworkRevenue OperationsProduct MarketingEnterprise SaaSCustomer SuccessTwo Millimeter Club#SellingIntelligence #RevenueLeadership #ChiefRevenueOfficer #RevenueOperations #B2BSalesMark Petruzzi (00:29)Welcome to Selling Intelligence. This is the full conversation with Lance Hafner, Chief Revenue Officer at Papaya Global. We have broken it into chapters in the description. Take it from the top or jump into the segment most relevant to where you are today. Enjoy the show.Welcome to Selling Intelligence. I'm Mark Petruzzi.KK Anderson (00:51)And I'm KK Anderson.Mark Petruzzi (00:53)Most people who end up running revenue for a company came up through sales. Our guest today didn't. He started in staffing and headhunting, crossed into HR, and built his way into the C suite from a function most operators treat as compliance, not growth.KK Anderson (01:10)Lance Hafner is Chief Revenue Officer at Papaya Global, a global payroll and workforce payments platform, where he's the first person ever to hold that title. Before Papaya, he ran general management and then revenue for a large payments and payroll business. After building his early career full cycle and staffing sales, he's also one of the most hands-on AI users we've talked to on this show, using it daily.To diagnose his own sales team's performance, Lance, welcome to Selling Intelligence.Lance Haffner (01:41)Thanks, KK Mark. Happy to be here.KK Anderson (01:43)We are thrilled to have you. Let's let's dive right into our first topic and would love to learn about your journey from HR to CRO, which is certainly an unconventional path for the C suite. And you started in staffing and headhunting sales, moved into HR, you ended up running revenue for large business units. What's kind of the through line between those roles thatYou didn't see at the time you were on the journey, but when you look back now you can see it clearly.Lance Haffner (02:12)Yes, yes. So great question. And thanks again for having me today. I like to say when people see my HR background in my profile or we're having, a conversation, the us I would say eighty percent are a bit shocked, but to your point, unconventional. You're an enigma, Lance, and I agree with that. you don't you don't see it. But there are a few of us out there, we exist. so I as you said, I cut my teeth in in staffing.And ...
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    24 分
  • Ep. 138 - High Tech Requires High Touch: Bridging the Human AI Gap with Dr. Noah St. John - Part 2
    2026/08/05
    General DescriptionAI is transforming every aspect of sales, but technology alone isn’t enough to drive better performance. In Part 2 of this conversation, Dr. Noah St. John returns to Selling Intelligence to explore why organizations investing heavily in AI, automation, and coaching still struggle to achieve meaningful results.Building on the Human AI Gap introduced in Part 1, Noah explains why trust has become the most valuable currency in business. He discusses the growing trust recession created by AI-generated content, the importance of authentic expertise over polished marketing, and why buyers must look beyond promises to evaluate real outcomes and proven results.The conversation also shifts to revenue leadership, where Mark Petruzzi and KK Anderson explore how CROs and CEOs can help teams embrace AI without losing the human judgment, experience, and tribal knowledge that drive long-term success. Through practical examples, including Ford Motor Company’s AI missteps, Noah demonstrates why AI should amplify human capability instead of replacing it.What You’ll LearnWhy AI is creating a trust recession across sales, coaching, and advisory businessesHow to evaluate expertise by focusing on client outcomes instead of marketing claimsWhat “high tech requires high touch” means for modern sales organizationsWhy the Human AI Gap continues to limit AI adoption inside companiesHow revenue leaders can coach both the inner game and the outer gameWhy investment creates commitment and accelerates behavior changeThe hidden cost of replacing institutional knowledge with AIWhy tribal knowledge remains one of the biggest competitive advantages in businessHow AI should augment human expertise instead of replacing experienced professionalsPractical leadership lessons for navigating AI transformation under board and quota pressureKey TopicsThe trust recessionAuthenticity versus AI-generated credibilityClient outcomes as proof of expertiseHigh tech and high touch leadershipThe Human AI GapThe inner game versus the outer gameRevenue leadership under AI pressureOrganizational AI adoptionFord Motor Company AI case studyTribal knowledge and institutional experienceHuman judgment versus automationCoaching sales teams through changeAI implementation strategyLeadership during digital transformationInvestment and accountabilityBehavioral changeAI-assisted business growthDale Carnegie and timeless leadership principlesGuestDr. Noah St. John is a bestselling author, keynote speaker, performance coach, and founder of SuccessClinic.com. Over nearly 30 years, he has helped entrepreneurs, executives, and revenue leaders overcome the hidden mental barriers that limit performance. As the creator of the Human AI Gap framework, Noah combines neuroscience, psychology, and business strategy to help organizations successfully bridge the gap between human behavior and rapidly evolving AI technology.Resources MentionedSuccessClinic.comThe Human AI GapThe Caveman CalculatorGary VaynerchukAlex HormoziDale CarnegieHow to Win Friends and Influence PeopleFord Motor CompanyAGS Two Millimeter Club#SellingIntelligence #AIforSales #SalesLeadership #HumanAIGap #RevenueLeadershipMark Petruzzi (00:38)Welcome back to Selling Intelligence. I'm Mark Petruzzi.KK Anderson (00:42)And I'm KK Anderson. This is part two with Dr. Noah St. John. Be sure to go back and listen to part one. But if you want to start here, let us bring you up to speed. Noah has spent close to 30 years studying why capable people underperform. He has written 27 books and coined the term human AI gap, the distance between 200,000 year old brains, the caveman, as he calls it.And the fastest technology ever built, which of course is AI. In part one, he drew the line between mindset, which the industry has worn out, and what he calls the inner game, the unconscious programming that decides whether skill and technology ever get used.Mark Petruzzi (01:24)In part two, we get to the operator level. What Noah's highest growth clients do differently and what the inner game looks like under real quota and board pressure. Noah, welcome back.Dr. Noah St. John (01:35)Thank you, great to be here.Mark Petruzzi (01:36)So let's go to to our first topic of our second episode with Noah, and that is high tech requires high touch. The trust recession. You guys all know out there we talk about that trust recession often, and we really want to get some perspective from Noah on this as well. So, Noah, you also have talked about a trust recession in this space.Where there's too many people with strong marketing skills and weak t teaching ability, or c or strong sales skills and weak coaching ability, how does that dynamic show up for a B2B buyer who is evaluating a coaching or advisory investment right now?Dr. Noah St. John (02:17)Well, I mean, this is a huge topic, and I do talk about it a lot, as you mentioned. so very simply, it's exactly what you were saying is that there are a lot of great ...
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    16 分
  • Ep. 137 - The Human AI Gap: Why Your Team Isn’t Using AI to Its Full Potential with Dr. Noah St. John - Part 1
    2026/07/29
    General Episode Description:In this episode of Selling Intelligence, Dr. Noah St. John, bestselling author, performance expert, and founder of SuccessClinic.com, joins Mark Petruzzi and KK Anderson to explore why so many organizations continue to struggle with execution despite investing heavily in technology, training, and AI.Drawing on nearly three decades of research and more than 250 documented client success stories, Noah argues that the biggest barrier to growth isn’t a lack of skills or better tools. It’s what he calls the inner game. While most organizations obsess over CRM systems, AI platforms, sales methodologies, and go-to-market strategies, they often ignore the beliefs, mental patterns, and internal wiring that determine whether those investments actually translate into performance.The conversation introduces Noah’s concept of the Human AI Gap, the growing disconnect between our 200,000-year-old human brain and the fastest-moving technology ever created. He explains why fear often outweighs logic when organizations introduce AI, why employees naturally resist change, and why leaders must address human psychology before expecting meaningful AI adoption.Mark, KK, and Noah also discuss the distinction between the inner game and outer game, the role beliefs play in sales performance, why coaching mindset creates exponential business growth, and how understanding different personality patterns can help leaders guide their teams through the AI revolution.What You’ll Learn:The Inner Game vs. Outer Game: Why technology, sales processes, and AI tools only work when the underlying human mindset supports them.The Human AI Gap: Why our evolutionary wiring naturally resists rapid technological change and what leaders can do about it.Why Performance Plateaus: How limiting beliefs create invisible ceilings that prevent teams from reaching their full potential.Leading Through AI Adoption: Why transparency, communication, and psychology matter more than simply deploying new AI tools.Understanding Human Behavior: How Noah’s four “Caveman Types” help explain different reactions to AI, change, and leadership.Key Topics:The inner game versus the outer gameBeliefs and their impact on performanceWhy mindset alone isn’t enoughBreaking through performance ceilingsThe psychology behind business growthCoaching leaders for exponential resultsThe Human AI GapHuman psychology and AI adoptionFear versus greed in organizational changeThe internet revolution versus the AI revolutionWhy AI adoption creates resistanceThe caveman brain and modern technologyFour Caveman Types: Chief, Spark, Keeper, and WatcherLeadership during periods of rapid AI transformationBuilding trust during organizational changeWhy transparency reduces fearHuman behavior in sales organizationsAI implementation and executionPsychology-driven leadershipHigh-performance coachingGuest Spotlight:Dr. Noah St. John is a bestselling author, keynote speaker, business growth strategist, and founder of SuccessClinic.com. Over nearly 30 years, he has authored 27 books and helped hundreds of entrepreneurs and organizations improve performance through his research on mindset, productivity, leadership, and human behavior.His work combines neuroscience, psychology, and business strategy to help organizations overcome internal barriers to execution. Through his coaching and frameworks, clients have documented growth ranging from 600% to more than 1,500% across multiple industries.Resources & Mentions:Permission to SucceedPower HabitsThe Human AI GapThe Caveman QuizDale CarnegieChicken Soup for the SoulAGS Two Millimeter ClubArtificial Intelligence (AI)CRM platformsLeadership coaching🎧 Listen now and follow Selling Intelligence for more conversations with today’s leading experts in sales leadership, AI, revenue growth, and go-to-market strategy. Subscribe wherever you get your podcasts.Mark Petruzzi (00:28)Welcome to Selling Intelligence. This is the full conversation with Dr. Noah Saint John. We have broken it into chapters in the description. Take it from the top or jump to the segment that's most relevant to where you are right now. Enjoy the show.Mark Petruzzi (00:28)Welcome to Selling Intelligence. This is the full conversation with Dr. Noah Saint John. We have broken it into chapters in the description. Take it from the top or jump to the segment that's most relevant to where you are right now. Enjoy the show.I'm Mark Petruzzi.KK Anderson (00:43)And I'm KK Anderson.Mark Petruzzi (00:45)Every revenue leader has watched the same thing play out. You hire strong people, you buy the technology, you fund the training, and performance still does not move. It does not improve. Our guest today argues that the constraint is not the skill set or the stack. It's what he calls the inner game, the internal wiring that determines whether any of it actually gets used. And Noah St. John hasClose I spent close to thirty years studying it. We're really excited...
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    26 分
  • Ep. 136 - The Trust Recession, the Death of the BDR, and the Return of the Full Cycle AE with John Tecce - Part 2
    2026/07/22
    General Episode Description:In Part 2 of this Selling Intelligence conversation, John Tecce, Vice President of Growth at 2X, explores what the next generation of go-to-market organizations will actually look like as AI, automation, and human expertise continue to converge.John explains why the future isn’t about replacing people with AI, but combining human judgment with agentic workflows to create faster, more adaptive revenue teams. He shares how organizations can break down departmental silos, rethink traditional operating models, and shift from fixed headcount to more flexible, scalable growth strategies.The discussion also dives into practical examples using platforms like Gong and Clay, why most AI initiatives stall before delivering business value, and how today’s revenue leaders can prepare their organizations for a fundamentally different way of working.What You’ll Learn:Human Agentic GTM: What human agentic go-to-market really means and why software, services, AI, and people are converging into one operating model.AI Plus Human Judgment: How platforms like Gong and Clay become exponentially more valuable when combined with human oversight and intelligent workflows.Breaking Down Silos: Why sales, marketing, RevOps, and customer success must operate as one revenue organization instead of separate departments.Rethinking the Operating Model: How leaders should evaluate what to own internally, what to outsource, and where automation creates the greatest leverage.Leading Through AI Transformation: The organizational, operational, and cultural changes required for companies to successfully adopt AI at scale.Key Topics:Human agentic go-to-market strategyAI workflows powered by Gong and ClayGo-to-market engineering and automationConverting fixed headcount into flexible operating modelsCross-functional revenue team alignmentAI adoption challenges and organizational changeJobs-to-be-done operating model designThe future of GTM leadershipGuest Spotlight: John TecceJohn Tecce is the Vice President of Growth at 2X, where he helps B2B organizations modernize their go-to-market strategies through the combination of AI, automation, and human expertise. He works with enterprise leaders to build scalable revenue operating models that improve efficiency, accelerate growth, and prepare organizations for the next generation of GTM execution.Resources & Mentions:2XGongClayClaudeChatGPTAWSMicrosoft AzureSnowflakeDatabricksTrevor Moawad’s work on neutral thinking🎧 Listen now and follow Selling Intelligence for more conversations with the leaders shaping the future of AI, sales, and go-to-market strategy. Subscribe wherever you get your podcasts.Mark Petruzzi (00:38)Welcome back to Selling Intelligence. If you're joining for the first time, this is part two of our conversation with John Tesey, Vice President of Growth at 2X.KK Anderson (00:49)In part one, we got into why digital outbound has hit a wall and why the BDR to AE model is collapsing and what they've done at 2X to remedy that and how they're working with their customers to overcome it. We talked a lot about how we're back to old school with sending things like in-person Vino letters and how we can build our new go-to-market engine so that we're harnessing on what is human and how wecombat the trust recession. It's an excellent session. Please go back and listen to it.Mark Petruzzi (01:20)In this half we get into what human agentic go to market actually means in practice, how 2x is helping clients turn fixed headcount into flexible spend, and what every CRO can do before they buy another tool. John, let's pick it back up.KK Anderson (01:36)All right, welcome back John.John Tecce (01:37)Thanks for having me back.KK Anderson (01:38)2X just called itself the first human-agentic go-to-market services firm. Really cool. Unpack that for us. What does human-agentic actually mean in terms of how work gets done on a client engagement? And tell us, tell us more.John Tecce (01:54)Let's start with the humanagentic and then we'll go into go to market. So humanagentic, what you're seeing across the board right now is software and services are converging. and there's been this sort of hard line between like what are we doing with tech and we're bringing in tech and it was a very linear process. We're gonna buy the tool and then we're gonna later either buy the services or figure out the operating model for how to operationalize the tool. And it was verysort that waterfall style of things and and as you were buying more tech and tools, you were sort of trying to layer on the the skill set and operating model. And really at this point, and and arguably before this point, but certainly now, what we're finding is the customer doesn't care whether it's technology or product or people that's getting the work done. They care, are you getting the work done? And is there a human accountable to that work getting done? And so as a as an organization, we have now you know ...
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    22 分
  • Ep. 135 - The Trust Recession, the Death of the BDR, and the Return of the Full Cycle AE with John Tecce - Part 1 General Episode Description:
    2026/07/15
    In this episode of Selling Intelligence, John Tecce, Vice President of Growth at 2X, joins Mark Petruzzi and KK Anderson to explore why traditional digital outbound is losing effectiveness and what today’s sales organizations must do instead.John shares why B2B selling is facing a “trust recession” fueled by AI-generated communication, rising outreach volume, and declining buyer confidence. As inboxes become saturated and automation reaches its limits, he argues that sales leaders can no longer rely on activity metrics or volume-based prospecting to generate predictable pipeline.The conversation also examines why 2X intentionally built its revenue organization without BDRs, why the full cycle AE is becoming increasingly important, and how timeless sales fundamentals like relationship building, trust, community engagement, and human connection are becoming competitive advantages once again.Mark, KK, and John discuss why quantity is no longer the best predictor of sales success, how experienced sellers can combine AI with classic sales principles, and the mindset required for modern account executives to thrive in an increasingly uncertain market.What You’ll Learn:Understanding the Trust Recession: Why AI-generated communication and digital overload are making buyers increasingly skeptical of outbound sales.Why Digital Outbound Has Changed: How years of automation have created more noise than opportunity and why quality now matters more than quantity.The Return of the Full Cycle AE: Why reducing handoffs creates stronger buyer relationships, better accountability, and more consistent revenue growth.Community Over Cold Outreach: How creating value before buyers enter an active buying cycle builds long-term trust and pipeline.Modern Sales Competencies: The mindset, adaptability, and relationship-building skills today’s sales professionals need to succeed.Key Topics:The trust recession in B2B salesAI-generated communication and declining buyer trustOutreach saturation across email and LinkedInWhy digital outbound is producing lower returnsThe evolution of marketing automationActivity metrics versus quality metricsWhy quantity is no longer the primary sales KPICreativity in outbound prospectingThe VITO letter and direct outreachOld-school sales techniques in modern sellingThe decline of the traditional BDR modelWhy 2X operates without BDRsThe return of the full cycle account executiveReducing buyer handoffs throughout the sales cycleBuilding credibility before the first meetingCommunity-driven pipeline generationBecoming a trusted connectorCreating value without expecting immediate meetingsThe importance of human connection in AI-enabled sellingPresence of mind and relationship mappingAdapting to constant market changeSeparating assumptions from reality during the sales processAI as an enabler, not a replacement for sales fundamentalsGuest Spotlight: John TecceJohn Tecce is Vice President of Growth at 2X, where he leads half of the company’s revenue organization with a team of full cycle account executives operating without a traditional BDR model.A third-generation sales professional, John combines classic relationship-driven selling with modern AI-enabled execution. He has become a leading voice on the future of go-to-market strategy, helping organizations rethink outbound sales, trust building, pipeline generation, and revenue operations in an increasingly AI-driven marketplace.Resources & Mentions:2XKnownwellSixth SenseMarketoSalesforcePredictable RevenueGary VaynerchukLinkedInBob KellySelling to VITOHope Is Not a StrategyThe Go-GiverAGS Academy🎧 Listen now and follow Selling Intelligence for more conversations with today’s leading revenue operators, sales executives, and GTM innovators. Subscribe wherever you get your podcasts.Mark Petruzzi (00:28)Welcome to Selling Intelligence. Our guest today is John TC, Vice President of Growth at 2X, the firm that just its declared itself the first human agentic go-to-market services firm. John runs half of 2x's revenue organization, a team of 12 full-cycle AEs with no BDRs.And he is third generation sales who has spent the last year watching the tools that built his career stop working at scale. Two X recently announced its acquisition of known well, and John has a front row seat to where the market is heading.KK Anderson (01:05)Personal note before we start, when John, Mark and I spoke in preparation, we landed on the same diagnosis from two very different directions and he is living it inside his own team and we are diagnosing it with clients every week. The instinct everyone has is to add more activity. John's answer is the opposite and that's what makes this conversation well worth your time.Mark Petruzzi (01:30)Here are the topics we will cover today. In part one, three things: why Digital Outbound has hit a wall and what that means for every CRO. The death of the BDR and the return of the full cycle AE. And old school fundamentals through ...
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