Predictable B2B Success

Episodet

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  1 in 20 Trust AI With a Deal: How to Close the Trust Gap 06.10.2026 1h 7min

  Why do customers who praise your demo end up not buying? In this striking episode of Predictable B2B Success, Vinay Koshy interviews Dan Mosher, CEO and co-founder of DealGround, about the awkward gap between using a state-of-the-art product and trusting it when it really counts. Since Dan Mosher knows the kind of thing it takes to gain a foothold in difficult markets, having been involved in growing companies such as Postmates, Brightroll, and Presto, and usually getting there a bit too early, he is now addressing the trust gap in commercial real estate, a field in which agents enjoy using AI tools but seldom actually use them to close deals. In this episode, you'll learn why many excellent products stall at the "pilot" stage and what shifts a customer's mindset from curiosity to confidence. You'll learn how Dan Mosher turned a deeply skeptical person into a fan in just one demonstration, and why building trust has nothing to do with features and everything to do with reframing expectations, embracing failures, and quickly bringing forward the "aha!" moments. If you're struggling with market timing, finding it hard to turn trials into trust, or considering your own move from a corporate job to startup life, you won't want to miss the practical advice and hard-earned lessons in this discussion. Some topics we explore in this episode include: Why B2B buyers use but rarely trust AI and what flips the switchThe double standard: Human error vs. AI mistakes in business decisionsHow AI hype sabotages adoption and how to set expectations that build trustWhere commercial real estate agents actually waste the most timeTurning product demos into “aha” moments that change hardened mindsWalking the privacy line: When valuable data becomes “too personal”Leveraging strategic partnerships to punch above your startup's weightAccuracy promises: How to win deals without overpromising on AIWhy startups fail when tech builds for industries they don't understandThe first 90 days: How smart leaders validate ideas before leaving their day job
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  Selling Prevention: How Blue Goat Cyber Built Demand Bootstrapped 29.09.2026 1h 4min

  So why do so many medical device startups fail to account for a danger that could bring their whole business crashing down? In this episode of Predictable B2B Success, Vinay speaks to Christian Espinosa, the founder of Blue Goat Cyber, about the little-known aspects of cybersecurity in the medtech field a risk that is so badly underestimated that even the best industry articles and founder discussion forums fail to touch on it. Nevertheless, Christian Espinosa has built a successful, bootstrapped business by charging as much as $150,000 per engagement to address this oversight, having supported more than 250 FDA submissions in the process. Why is cybersecurity still treated as something added at the end rather than an essential part of device design? What are the consequences when a shortcut costing $5,000 turns out to cost $500,000? How do you achieve steady revenue and provide a written guarantee on your website when prospects only realize they need you after regulators have said "no"? Vinay puts Christian Espinosa on the spot on pricing, positioning, industry reactions, and lessons from a previous exit that went wrong. If you care about security, entrepreneurship, or overcoming market indifference, you won't find this point of view anywhere else. Listen in for valuable insights under pressure, useful takeaways, and a frank look at the challenges facing the overlooked medtech sector behind the scenes. Some topics we explore in this episode include: An invisible threat that few startups discuss: why is cybersecurity omitted from the vast majority of medtech failure post-mortems, and might your industry be ignoring a similar risk?The demand for things that no one is actually buying: how do you promote a solution for CEOs who don't (at this stage) think they need it? Learn about unorthodox methods to build awareness and create urgency.What really occurs when essential compliance work is delayed until the 11th hour? Regulatory surprises that cause product launches to failCan you carry out bold positioning campaigns without losing sight of your company's values?Why will some customers pay 20 times as much in a commodity market, and how can you design your offerings so that competitors can't realistically match them?Security (or indeed any technical service): could the actual value lie in the paperwork that goes uncredited?How failing to address security early can blow up your timeline: a real account of thousands of vulnerabilities discovered right before launch. When is your 'oh no' moment?Should you assess risk based on what matters most to your customers, or are you merely following industry dogma?Can offering your best tools for free generate more leads than lead magnets and email campaigns?What would you do differently if you had trusted the wrong people to be promoted, or if you realized that your highly praised exit had, in fact, not been a success?
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  How to Grow Revenue 20% Inside Customers You Already Have 22.09.2026 1h 14min

  You've seen the report saying organized retail crime is causing serious damage to stores and behind almost half of all inventory losses. Yet what if that idea is nothing more than a myth? In this episode, Vinay invites Russ Hawkins, president and CEO of Agilence, someone who has, for nearly twenty years, assisted retail, grocery, and restaurant chains in identifying the true causes of loss, which are often overlooked and hidden in plain sight. Russ Hawkins uses concrete figures and industry insights to refute the stories that have long shaped loss prevention priorities. He shows that losses from employee theft and operational mistakes exceed those caused by high-profile professional theft rings, and explains how companies can use their current data to identify leaks they weren't aware of. You'll get honest accounts from the front lines regarding the surprising situations that arise when you ask your competitors for advice, how to redevelop a product around AI without losing the trust (or the contracts) of its 180 enterprise customers, and what actually changes when a company "graduates" from venture capital to private equity. This is an eye-opening masterclass on finding growth and resilience when others aren't even looking, whether you run a multi-location chain or a B2B software business aiming for steady growth. Some topics we explore in this episode include: The facts about retail shrink and why industry myths persist.How Agilence tackles invisible losses like employee theft and errors.Unexpected insights from interviewing competitors.The difficulties involved in moving from hardware to SaaS and in selecting cloud partners.What truly enables a business to be scalable and what prevents growth.How to demonstrate return on investment when industry data is not trustworthy.Rethinking customer success to increase retention and loyalty.The process of turning software into modules: lessons concerning upselling and pricing.Introducing AI to an established product without disrupting what's already working.The actual effect of switching from venture capital to private equity.
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  How ComplyJet Hit 50% Win Rates by Saying No to Everything 15.09.2026 1h 4min

  Imagine establishing a successful and profitable B2B software business serving hundreds of customers in more than 25 countries without using paid advertisements, making sales calls, running referral programs, or securing venture capital. That is what Varun Jain, co-founder and CEO of ComplyJet, aims to demonstrate. In this episode of Predictable B2B Success, Vinay Koshy examines a bold "subtraction" approach: eliminating certain channels, turning down large enterprise deals, stopping discounts, and focusing entirely on content-driven growth. As Varun Jain makes clear, their path has been neither traditional nor straightforward. To maintain velocity, they declined deals worth more than $50,000, chose transparency over sales tactics, and built customer trust in an environment where no one publishes retention figures. We will examine the cost of serving each customer, reveal how they cut the sales cycle in half while increasing deal size, and explain how the founders spend up to 30% of their time providing direct customer support. Could this bold, focused strategy achieve the hard-to-reach goal of 1,000 customers without sacrificing margins or service? Listen as we examine ComplyJet’s revenue engine and discover what can be accomplished by choosing what you won't do to attain 1,000 SaaS customers by means of content alone, without using any advertisements, partners, or referral programs. Some topics we explore in this episode include: What was the reason why Varun Jain risked everything by subtracting products, channels, and segments rather than adding more?What does a marketing channel need to prove to ComplyJet before it is scaled? Do experiments and data suffice?What is the result when you choose to reject large enterprise contracts in order to concentrate on speed and efficiency?How will ComplyJet cope with sudden spikes in support demand, and can its well-known quick responses to customers be maintained at scale?How can transparent pricing and careful use of AI maintain strong gross margins even if there is no funding?What is it about ComplyJet's sales cycle that is making it shorter when those in the industry are seeing theirs lengthen—and how are they managing to maintain high deal conversion rates?What is the real cause of customer churn in the SaaS sector when it comes to early-stage customers, and why doesn't Varun Jain pursue every dollar?How can a nine-person software company win the trust of large enterprises in a sector built on credibility?Isn't the future of B2B security buying already upon us, with AI handling trust and compliance negotiations rather than people?
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  Per-Seat Pricing Is Dead: Kevin Surace on What Replaces It 08.09.2026 43min

  Is everything you know about software pricing about to change? In this episode of Predictable B2B Success, Vinay Koshy interviews Kevin Surace, tech innovator, CEO of Appvance, and inventor with patents licensed by Apple and Amazon. They discuss why the per-seat SaaS model is becoming obsolete and what is replacing it. Find out how Kevin Surace navigated the transition from seat-based pricing to results-based models, tackling the psychological and organizational challenges businesses face. By citing examples from billion-dollar companies, AI-native platforms, and his own investments, Surace shows that selling 'outcomes' has become an essential ability for B2B software companies. Why do the majority of companies weaken their own AI launches? What questions should you put to a company that describes itself as "AI native"? If the future of software is going to be a simple text box, what becomes of the current complex interfaces and the jobs associated with them? If you are a founder who is having problems with pricing or who would like to know how AI is changing business, then you should join us to find out why an outdated business model might be the greatest risk in the SaaS industry today. Some topics we explore in this episode include: Why moving away from per-seat pricing is essential to future-proof your business.How to implement outcome or usage-based models: Pricing based on measurable business value or actual use can better align your offerings with customer needs.How AI can automate QA: Leveraging AI reduces manual work and costs in software testing while increasing efficiency.How to deal with resistance from an organization: Study the methods for managing and overcoming fear-driven opposition from those teams affected by automation.To win the support of executives: Focus on executive leaders to accelerate acceptance of transformative AI solutions.How to distinguish true AI from "AI washing": Use practical questions to identify genuine AI products versus imitators.Set a benchmark for productivity equal to ten times the current level: make sure that investments in AI result in significant and measurable improvements by setting a goal of achieving a tenfold increase.Leveraging the Right Market Timing: Know when the market is ready for your innovation so you don't launch it too early or too late.Embracing Next-Generation Interfaces: Plan for future product positioning by considering AI-powered, natural-language, or on-demand interfaces.Practical steps for SaaS founders to develop and implement new pricing strategies that capture customer value and protect revenue by incorporating customer feedback.
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  Every Software Is an LLM Wrapper, And It Doesnt Matter 01.09.2026 1h 12min

  This episode focuses on the seismic changes AI has brought to business, and what happens when the very foundation a company builds is suddenly available to everyone almost for free. Three years ago, Sembly AI’s Artem Koren predicted that artificial intelligence would become the new “building material” for the enterprise, like carbon fiber for modern aviation. What he didn’t foresee: within 18 months, that material would be commoditized, and everything his team had engineered over four painstaking years transcription engines, smart meeting bots would be accessible out of the box. A key theme that emerged was what truly makes a product defensible and valuable in a landscape where the raw tech is no longer enough. The discussion explored the nitty-gritty difference between a “good enough” AI-generated deliverable and one that can genuinely bear your company’s name. Several points were raised, including the pitfalls of generic outputs, where consistency comes from, and why context and brand are the new moats. Expect insights about the future of work, what AI should (and shouldn’t) be trusted with, and lessons learned from missteps in both pricing and product design. If you’ve ever wondered what you can really put your name on in the age of AI, this episode is for you. Some topics we explore in this episode include: AI’s shift from premium technology to a commodity is reshaping business value.How Sembly AI’s pivot from transcription to client-ready documents brought operational challenges and new lessons.The impact of widespread access to core AI on competition and innovation.What happens when cheap, universally available AI services like transcription disrupt business strategies.Why true product value now depends on branding, context, and completeness, not just the underlying AI.The challenge of building high-quality client deliverables with AI and overcoming platform shortcomings.How smaller players are carving out a niche against AI giants like Microsoft and OpenAI.Why consistency, repeatability, and data traceability are critical for professional AI use.The debate between usage-based versus subscription pricing models for AI products.The importance of ethical boundaries, privacy, and consent when deploying AI in sensitive business decisions.
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  AI Adoption: 54% of Workers Bypass the Tools You Bought 25.08.2026 1h 25min

  While it may seem your team is not using your new AI tools, they may be leveraging AI in ways you have not anticipated, often outside the systems you have implemented. In this episode of Predictable B2B Success, host Vinay Koshy interviews Tom Gersic, whose experience includes SaaS adoption at Salesforce, large-scale AI deployments in global banks, and, as founder of ux.ai, developing advanced sales tools. Tom Gersic discusses his experience with “Lightning Adoption,” a major initiative that reported directly to Marc Benioff. He examines the shortcomings of traditional adoption strategies, the limitations of customer logo-based targets, and misconceptions about executive sponsorship. Drawing on extensive experience, he provides a candid perspective on why superior products do not always gain traction and why initial enthusiasm for new technology often fades before its value is realized. This episode offers valuable insights for founders preparing for board meetings and revenue leaders seeking to measure the true value of AI. Listen to learn what truly drives and hinders adoption in the current AI landscape. Some topics we explore in this episode include: Product Adoption Strategies: Focus on user workflows, not just product features, to drive real adoption.Monthly Active Users (MAU) as Key Metric: Moving from vanity metrics to MAU for measuring true engagement.User Experience and Performance Issues: How usability and perceived speed barriers affect adoption.Executive Sponsorship: The critical impact of hands-on leadership on rollout success.Hype Cycle and Disillusionment: Persevering through the “trough of disillusionment” when initial excitement fades.Enthusiasm vs. Sustained Adoption: Why excitement isn’t enough for long-term, meaningful use.Shadow AI Use and Governance: Risks of unapproved AI tool use and the enabling role of strong governance.Embedding AI in Workflows: The imperative to deeply integrate AI into daily business processes.Measuring Productivity and Value: Aligning metrics to true business outcomes instead of surface-level activity.AI in Regulated Industries: Unique challenges and lessons from deploying AI in sectors like finance and insurance.
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  Decision-Making Frameworks: The $56M Call a CEO Almost Got Wrong 18.08.2026 1h 1min

  Imagine making a single decision where the wrong answer could trigger a blackout or put lives at risk. Our guest today, Nissim Titan, is no stranger to this high-stakes environment. As founder and CEO of 4cast, an $8 million decision software company aiming for $30 million. He builds platforms for people whose choices have real-world, sometimes life-or-death consequences: defense units, emergency managers, and utilities. This episode isn’t about tech specs or software demos. Instead, we dive into the art and science of decision-making itself. Nissim Titan reveals how he filters daily noise to focus on what truly drives company goals and revenue, lessons from environments where failure isn’t an option, and why even with AI’s rise, human judgment remains indispensable. You’ll hear stories like how a $56 million price tag can become a bargain and why the biggest bottlenecks in scaling a business might be hiding in plain sight. If your organization’s complexity is outgrowing your ability to decide or you’re curious how leaders pinpoint decisions that move the needle, this episode is for you. Step inside the high-pressure world where the cost of a bad call is measured in more than lost dollars. Some areas we explore in this episode include: Critical decision-making frameworks: How to identify and prioritize key decisions in high-stakes industries.Human versus AI in decision intelligence: Why human judgment remains essential alongside AI.Sales and scaling challenges: Analyzing bottlenecks like sales execution and delivery.Data quality in AI recommendations: Why accurate source data is crucial for reliable outcomes.Enterprise sales cycle strategies: Shortening long cycles with proof-of-value projects.Partner-driven growth: The dynamics and challenges of selling through major partners.Product adoption and onboarding: Ensuring new tools provide value and get used.Lessons from crisis behavior research: Applying crowd behavior insights to planning.Scaling beyond founder-led sales: Moving to consultant and partner networks to grow.Explaining and justifying big investments: Helping leaders understand and act on large financial decisions.
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  Why B2B Deals Arent Lost on Price: Theyre Lost on Strategy 11.08.2026 1h 25min

  Most B2B tech founders blame lost deals on price, but what if that is rarely the real reason? In this episode of Predictable B2B Success, host Vinay Koshy speaks with Alex M.H. Smith, author of "No Bullshit Strategy" and founder of Basic Arts, to challenge common misconceptions about strategy, value, and what it takes to create breakthrough growth. Alex highlights a fundamental problem in the industry: most companies think they have a strategy but are really just chasing goals and optimizing tactics. The result is unpredictable revenue, generic messaging, and a business indistinguishable from competitors. He explains why improving sales, marketing, or even product execution rarely delivers lasting results, and how the real issue starts upstream, in the strategic fog lingering at the very top of the organization. Alex explains why being “better” is never enough, why distinctiveness trumps marginal improvements, and how even funded startups must make the uncomfortable choice to be the only, not merely the best option for their market. If you want to break out of the "vortex of mediocrity," rethink your company’s value, and create lasting advantages, this conversation is your invitation to see B2B strategy in a totally new light. Some topics we explore in this episode include: Lost deals and unpredictable revenue are caused by poor differentiation, not price.Most companies confuse goals with real strategy.The ‘better trap’: Trying to outdo competitors instead of being unique.Strategic fog at the top leads to confusion in sales and marketing.Effective strategy requires motivating and aligning the team.B2B value creation is complex with different stakeholders to satisfy.Unique value often comes from non-product advantages.Strategic breakthroughs happen in informal conversations, not workshops.Deliberate weakness enables standout strengths and focus.Leaders must relentlessly communicate strategy as companies grow.
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  Deflection Rate Is the Wrong AI Metric. Heres What Replaces It 04.08.2026 43min

  If your company has implemented a chatbot or AI agent in the past two years, you may be focusing on the wrong objectives, potentially resulting in significant revenue loss. In this episode of Predictable B2B Success, we interview Dvir Ginsberg, founder and CEO of Encore, whose innovative approach challenges traditional AI deployment strategies. Many organizations rely on deflection rate, which measures how many customers an AI handles without human intervention. However, as Dvir Ginsberg explains, this metric can undermine customer satisfaction and obscure growth opportunities. Focusing solely on deflection rate overlooks more meaningful outcomes such as conversion and value. Encore’s approach, known as “interaction mining,” analyzes real customer conversations before any automation occurs. This process uncovers hidden revenue, process gaps, and compliance risks, enabling AI to learn from top human performers and deliver more effective results. This episode examines how compliance concerns differ across industries such as finance, retail, and manufacturing. It also explores the distinction between chatbots that only “sound” human and those that truly “act” human. We outline essential steps every business should take before their next AI rollout and offer new perspectives on achieving AI success. Some topics we explore in this episode include: Deflection rate as a flawed metricImportance of interaction miningRevenue leakage from missed opportunitiesTraining AI on top performer behaviorsCompliance and liability risks of AIShortcomings of prompt-based deploymentAI unlocking new business modelsNeed for continuous post-launch improvementRegulation accelerating AI adoptionOrganizational and cultural change for AI success
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  Why LinkedIn Cant Prove Your Expertise, And What Actually Will 28.07.2026 1h

  As AI advances in producing content, writing code, and providing professional advice, the question arises: what remains uniquely human in the modern economy? While creativity and relationships are common answers, this week’s guest proposes a different perspective: verified judgment, or the ability to demonstrate accuracy publicly before outcomes are known. We examine whether professional trust and credible expertise can be effectively captured, measured, and rewarded, especially as current systems like LinkedIn, credentials, and prediction markets have limitations. In this episode of Predictable B2B Success, we speak with Dan Pratl, who has played key roles during major system disruptions, including financial regulation at the SEC, the open-source movement at Red Hat, and the blockchain and crypto cycles. He is now developing Quadron, an infrastructure layer for the AI era designed to transform how expertise, judgment, and value are exchanged among individuals, companies, and industries. We discuss the personal catalyst that led Dan to this work, the overlooked gap in today’s knowledge economy, and the importance of addressing these issues for founders, operators, and knowledge workers navigating rapid AI-driven change. Some topics covered in this session include: Failures of Current Credibility Systems: Limitations of LinkedIn, credentials, and prediction markets in proving expertise.Personal Healthcare Catalyst: The founder’s experience navigating his mother’s illness revealed system gaps.Systemic Infrastructure Breakdown: Examples from regulation, open source, and crypto where systems outlive their purpose.Quadron Product Overview: How Quadron works for professionals and key concepts like lenses and claims.Legal Protection of Expertise: Structuring and enforcing expertise ownership through trade secrets.Incentives and Reward Mechanisms: Incorporating incentives to align and compensate expertise in the AI economy.Enterprise vs. Consumer Adoption: Strategies for enterprise sales versus grassroots user-driven adoption.Talent Retention and Organizational Risk: The impact of visible, portable expertise on retaining talent and competitiveness.Shifting to Expertise Ownership Culture: The cultural and behavioral change needed for individuals to manage their expertise as an asset.
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  Why Your Discount Code Box Is Killing E-Commerce Conversions 21.07.2026 58min

  What if the simple discount code box on your checkout page is costing you more than you realize? In this episode of Predictable B2B Success, we meet Mansoor Osmani, a man who spent over three decades advising multi-billion-dollar enterprises on the intricacies of high-stakes negotiation, witnessing first-hand how pricing psychology drives buying behavior from Saudi Arabian Airlines headquarters to luxury car showrooms in Jeddah. Mansoor didn’t just observe; he built on these insights to launch Dbargain, an AI-powered negotiation engine that is rethinking how high-ticket e-commerce sales are closed without slashing prices or eroding brand value. Imagine an online store where buyers can negotiate price, not with a salesperson, but with an AI agent empowered to safeguard your bottom line. In this conversation, Mansoor reveals the psychological triggers underlying shoppers’ need to “get a deal,” why discount-driven sales can cause long-term harm, and how autonomous bargaining bots could transform the future of online retail. Would you allow an AI to negotiate on your behalf while you sleep? Tune in for surprising stories from $500,000 Mercedes-Benz deals to lessons in global buying behavior that might just change how you think about pricing strategy forever. Some topics we explore in this episode include: The psychology and universality of bargaining in high-value purchasesE-commerce discounting pitfalls (coupons, constant sales)Origin and purpose of Dbargain’s negotiation AIHow agentic AI negotiates prices in real timeSetting and controlling discount thresholds for merchantsAI learning, behavior, and user privacyAdapting negotiation strategies across global culturesRisks and limits of AI (hallucination, control boundaries)Friction vs. engagement in the checkout processPotential use of negotiation AI in B2B and key business lessons
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  The $1M AI Efficiency Play That Started With a Slack Problem 14.07.2026 52min

  Many B2B companies allocate most of their growth budgets to acquiring new customers, often overlooking the significant revenue potential within their existing client base. Despite clear evidence that improving retention increases profits, customer marketing remains underutilized. In this episode of Predictable B2B Success, we examine why organizations frequently miss opportunities within their CRM and how tapping into this resource can drive substantial growth. This week’s guest is Paul Schmidt, VP of AI and Innovation at SmartBug Media, the world’s largest HubSpot agency partner. Drawing on a decade of experience working with hundreds of B2B companies, Paul discusses common reasons for CRM implementation failures, the impact of AI agents on internal operations, and the key drivers of efficiency that go beyond simply adding new tools. He also identifies the critical factors that determine whether a CRM becomes a valuable business asset or an underused repository for customer data. Paul shares insights on the often-overlooked value of customer marketing, as well as lessons learned from launching and discontinuing new services. He also addresses the requirements for effective AI adoption by leadership and emphasizes the importance of clean data in answer-engine optimization. This episode offers actionable strategies for driving B2B growth in a rapidly evolving landscape. Some topics we explore in this episode include: Why do so many CRM systems end up as expensive, unused databases?What’s stopping B2B companies from unlocking the profit power of customer retention?How can you launch impactful customer marketing with zero new budget or headcount?Are your AI initiatives really driving ROI—or just shiny distractions?Why is clean, structured data the game-changer for successful AI adoption?Can your service catalog withstand a data-driven audit to assess true market fit?What can failed AI and service launches teach you before your next big bet?Will your organization’s approach to AI adoption accelerate—or block—innovation?How are AI-driven search engines rewriting the rules of B2B demand generation?What will agencies need to do to stay indispensable as clients build their own AI solutions?
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  Why Your Pipeline Stalls When Buyers Dont Trust Your Category 07.07.2026 1h 7min

  The conversation addressed a common yet often overlooked challenge for B2B founders: slow pipelines may stem from a lack of trust in the entire product category, not just issues with the product, pitch, or lead volume. Buyers may dismiss a solution before learning about the company, simply because of skepticism toward the category. The discussion emphasized the complex process of establishing trust where it is absent, particularly when potential customers have never purchased similar software or do not recognize its necessity. This episode examines how Klipboard created a new market for field service and trade businesses by overcoming skepticism and established behaviors. It covers practical methods for identifying a genuine category trust problem, strategies for adjusting communications and product focus, and the importance of CEO involvement in sales calls. Key topics included the role of pricing as a trust signal, approaches to scaling trust during growth, risks of pursuing trends like AI solely for investor interest, and building acquisition-ready foundations well before exit. Tune in for a playbook that addresses psychology and culture alongside technology and sales. Some topics we explore in this episode include: Identifying and addressing “category trust” issues when entering markets where buyers distrust or misunderstand an entire software category.Educating traditional industries about the benefits and ROI of adopting software, rather than relying solely on sales pitches.Differentiating between product problems, messaging problems, and category trust problems by actively listening to prospects and early customers.Simplifying marketing and sales communications to make value propositions more understandable and relatable, avoiding technical jargon.Building a culture of customer listening and feedback that permeates product development, sales, and customer success as the company scales.Structuring pricing in a transparent and risk-reducing way to build trust with first-time buyers and lower barriers to adoption.Selecting patient, long-term investors to enable sustainable, trust-focused growth instead of pushing for immediate revenue or scale.Using educational content that benefits prospects even if they don’t purchase, which can shorten sales cycles and position the company as a thought leader.Leveraging existing customer relationships after acquisition through effective cross-sell strategies while maintaining and growing trust.Evaluating the true impact of AI and other new technologies for the target market, implementing them purposefully rather than for hype, and focusing on deep domain expertise as a sustainable competitive advantage.
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  $15 Trillion Locked in Client Invoices — Get Paid Faster 01.07.2026 1h

  What if the advice you’ve spent years giving founders about fundraising and scaling is wrong? On this episode of Predictable B2B Success, Julia Delin, a former venture capitalist, incubator leader at Stockholm School of Economics, and now CEO and co-founder of Cheque, reveals how stepping onto the founder’s side changed her perspective on growth, cash flow, and what it takes to survive as a startup. Discover why $15 trillion is stuck in US accounts payable even in healthy companies and how delayed payments nearly killed thriving firms. You’ll hear the real story behind Cheque’s “aha” moment, the key missteps founders make by treating cash flow as an afterthought, and what changes when you see it as a growth lever, not just an accounting problem. Julia Delin also unpacks the dangerous gap between investor expectations and startup realities, the “three-to-one” rule that should guide every VC raise, and why most founders wait too long to admit their biggest obstacle isn’t product or sales but simply getting paid. Whether you’re rethinking your approach to funding or wondering how to avoid being your client’s bank, this episode will shift how you see money, risk, and opportunity in B2B. Some topics we cover in this episode include: Cash Flow Issues in Service Businesses: Long payment terms, delayed payments, and the impact on healthy companies"Acting as a Bank" for Clients: Frustration over essentially loaning money to clients due to slow paymentsDynamic Discounting & Early Payment Discounts: How early payment incentives work and why adoption by SMBs has been slowFrom VC to Founder: Lessons Learned: Contrasting generalized investor advice with founder realityAngel Funding vs Venture Capital: Reasons for choosing angel funding and its implications for growthFounders’ Relationships with Investors: Leverage, empathy, and differences between angels and VCsCash Flow as a Growth Lever: Viewing cash flow management as a strategic choice, not just accountingMarket Education & Product Adoption: Teaching SMBs new behaviors and evolving the company’s pitchUS vs Europe: Cultural and Market Differences: The effect of optimism, directness, and openness on business-buildingAdvice for Founders on Cash & Fundraising: Challenging common wisdom on MVP pricing, milestones, and proof points
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  54% More Leads at Trade Shows Without a Bigger Budget 23.06.2026 1h 12min

  How much of your B2B pipeline is human, and how much is bots and AI masquerading as prospects? In a world where nearly half of internet traffic is artificial and digital engagement data is more synthetic than ever, how can B2B leaders know when they're making real connections and when they’re just shouting into the void? In this episode of Predictable B2B Success, we’re joined by Anders Boulanger, founder of Engagify and author of Engage First. Anders’ story is anything but predictable. From childhood magician to physics graduate to trade show “infotainer” for Microsoft and Siemens, he’s mastered the science and art of stopping strangers in their tracks and turning fleeting moments into trust and pipeline. Anders argues that in an era drowning in AI-generated outreach, companies that create genuine, face-to-face human moments will command an unparalleled advantage, one no algorithm or chatbot can replicate. If you’re a CEO or marketing leader wondering whether your events budget is a legacy cost or your sharpest competitive weapon, this conversation is for you. You’ll come away with a new framework for thinking about real engagement and why the most powerful business signals aren’t digital at all. Some topics we explore in this episode include: Authentic Interactions vs. AI Outreach: Contrasting synthetic AI-driven engagement with genuine human connections at eventsTrust in In-Person Events: Why face-to-face interactions are becoming the most trusted B2B marketing channelTrade Show ROI and Measurement: The challenge of measuring ROI and the three-legged stool model for event successBooth Engagement Strategies: The role of engagement tactics and staff training in maximizing trade show outcomesHumanization of B2B Engagement: The enduring value of authentic relationship building amidst digital noiseEvent Metrics and Analytics: New ways to track physical engagement and crowd density at showsEconomic and Geopolitical Challenges: How broader global issues impact event attendance and effectivenessVirtual vs. Physical Events: Lessons from the shift to virtual and why in-person leads to better engagementEngagify’s Attract-Connect-Convey Framework: Step-by-step approach to drawing, connecting, and informing booth visitorsScaling Engagement Beyond the Founder: Building and training a team to deliver consistent booth experiences
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  Why B2B Go-to-Market Fails at Sequencing, Not Execution 16.06.2026 1h 5min

  What if one proven methodology could turn B2B market share from stagnant to soaring, with a track record of guaranteed growth, yet almost no U.S. company has heard of it? In this episode of Predictable B2B Success, we speak with Hugo Van Den Biggelaar, a former Nike brand strategist turned evangelist for Bitsing, a 33-year-old European methodology that has fueled BMW, Shell, HP Enterprise, and thousands of organizations, with no failures on record. Hugo, now based in Brooklyn, New York, challenges core assumptions about B2B growth. He says most companies aren’t failing because they do the wrong things, but because they do the right things in the wrong order and at the wrong time. What is the hidden sequence behind sustained revenue, and why is “brand awareness” sometimes a death trap? Hugo reveals why even the most successful B2B teams often aim at the wrong goals, how to build a “golden egg” competitors can’t copy, and why emotional preference, not rational decision-making, drives billion-dollar deals. Why your growth efforts stall or how sales, marketing, and product can actually align, this conversation will leave you rethinking everything you know about predictable B2B success. Some topics we explore in this episode include: The Bitsing Methodology: Origins, proven track record, and impact on companies worldwideRight Actions, Wrong Sequence: How companies undermine growth by doing the right things in the wrong orderFinancial Goal Setting: The necessity of clear financial (not just KPI) goals: continuity, ambition, and dreamOrganizational Alignment: The need for unified goals and eliminating departmental silosThe Seven Principles/Steps: The stepwise framework that drives predictable growthData-Driven Focus: The Pencil Method: Using facts (not gut) to determine where revenue actually comes fromThe Golden Egg: Emotional Differentiation: Creating an emotional, uncopyable reason for customers to choose your brandStrategies vs. Goals: The common mistake of confusing means with ends 17:12.Driving Preference and Loyalty: Preference as the key to growth and how to create genuine, unconditional loyaltyPlan Execution & Guaranteed Results: The phases of implementation and what “guaranteed growth” means with Bitsing
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  Why Your Data-Driven Decisions Are Still Emotionally Driven 09.06.2026 51min

  Consider whether your company’s biggest growth barrier lies not in the market, product, or competitors, but in your unconscious relationship with money. In this episode of Predictable B2B Success, we discuss this perspective with Douglas Lynam, a former Benedictine monk, financial advisor, and acclaimed author. Douglas shares insights from his journey, moving from a vow of poverty to managing over $250 million in assets. He explains how psychological money patterns, often formed before age ten, can influence even data-driven leaders. Douglas also discusses the Enneagram personality system and its impact on financial decisions, executive team dynamics, and revenue planning. Listeners will learn how early experiences influence leadership styles, how personality differences can cause recurring friction in budget meetings, and why addressing personal “money wounds” is essential for building healthy cultures and sustainable growth. Douglas also provides practical contemplative practices that leaders can use daily to address hidden financial challenges and improve decision-making under pressure. Whether you rely on analytics or face challenges with pricing, this episode offers new perspectives on approaching money and achieving business success. Some topics we explore in this episode include: Top 10 Topics Covered in This Episode Unconscious Money Patterns in Leadership: How early money beliefs influence executive decisions and revenue growth.Enneagram Personality Types and Finance: Using the Enneagram to decode financial behaviors and team dynamics.Emotional vs. Data-Driven Decisions: The tension between analytical processes and hidden emotional drivers.Attachment Theory of Money: Money anxiety and avoidance are linked to deeper psychological patterns.Team Personality Conflicts in Budgeting: Predictable clashes between executive types during financial planning.Overcoming Financial Trauma: Healing early money wounds to prevent cultural sabotage.Practical Contemplative Practices: Simple reflection tools (journaling, gratitude) for busy CEOs.Ethics and Business Growth: Balancing integrity with aggressive growth targets.Scarcity vs. Abundance Mindset: Moving from scarcity-driven to abundance-based revenue strategies.Building Transformational Content: Creating educational material that resonates with deep psychological needs.
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  Jeremy Chatelaine: Why Multichannel Cold Outreach Books 4.22x More B2B Meetings 02.06.2026 45min

  Imagine building one of the world’s first cold email automation platforms, then deciding not to chase hypergrowth or venture capital but to grow profitably by serving a very specific kind of customer well. In this episode of Predictable B2B Success, Vinay Koshy speaks with Jeremy Chatelaine, founder and CEO of Quickmail, to discover how he prioritized product excellence and customer retention in a fast-moving SaaS landscape. With over 400 podcast episodes, an industry-defining book, and the trust of agencies managing hundreds of clients, Jeremy’s story flips conventional SaaS wisdom on its head. He reveals how the internal calculus of “good fit” versus “bad fit” customers can make or break a business and why refusing a paying customer can sometimes be more profitable in the long run as opposed to customers who destroy value, the unusual economics of retention vs. acquisition, and why delivering exceptional customer results like, booking 4.22 times more meetings than the competition, is about much more than emails and automation. Jeremy also shares hard-won lessons from mistakes, killer feature inventions, and why an executive assistant could be the highest ROI hire you’re not making. Tune in for an unfiltered, unconventional masterclass in SaaS success. Some topics we explore in this episode include: Bootstrapping vs Venture Capital: Jeremy details the benefits of building Quickmail profitably without VC funding.Customer Retention vs Acquisition: Why retention often outperforms acquisition for long-term SaaS growth.Defining Ideal Customer Profiles: How to identify and evolve good-fit and bad-fit customers over time.Product-Led Growth from Customer Feedback: Developing features driven by close interaction with customers.Educational Content’s Role: The role of podcasts and books in attracting and pre-qualifying leads.Technical Differentiation: Email Deliverability: What sets Quickmail’s deliverability and booking rates apart.Multi-Channel Outreach (LinkedIn + Email): Data on improved results from combining email and LinkedIn campaigns.Roadmap Discipline: Saying No: When and why to decline feature requests that don’t serve the ICP.Scaling for Agencies: Tools and approaches for agencies managing many client accounts.Founder Leverage via Delegation: The value of executive assistants and reducing operational overload.
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  Turn B2B Buying Committee Stalls Into Closed Deals 26.05.2026 47min

  Why do nearly 60% of B2B purchases stall in indecision? What’s paralyzing buying committees, and can better communication break the gridlock? In this episode of Predictable B2B Success, Vinay sits down with Alkan Bolkaya, founder and CEO of Mail Softly, a fast-rising AI-powered business communication platform. Drawing from a background in decision-making theory and a track record of helping companies raise over $200 million, Alkan Bolkaya reveals what truly drives buying decisions, why most email marketing misses the mark, and how startups can outmaneuver giants by being the "fast fish" in the pond. Expect actionable insights as we tackle: The hidden pitfalls in B2B decision-makingHow to use communication channels to accelerate—not stall—revenueWhat "satisficing" really means for your product messaging.Why honesty and “getting to no” may actually boost your bottom lineHow to harness both AI and human touch for maximum impact If you’re a founder, marketer, or anyone determined to crack the code to predictable B2B growth, you won’t want to miss this episode. You’ll gain science-backed strategies to immediately shorten sales cycles, clarify messaging, and increase your close rate. Let’s dive in! Some areas we explore in this episode are: B2B Purchase Stagnation: Why most B2B deals stall with no decision, and underlying causes.Founding Mail Softly: Alkan Bolkaya’s transition from consulting to launching Mail Softly and addressing gaps in email marketing.Decision-Making Theory in B2B: Psychological reasons for indecision among business leaders and committees.Power of Consistent Communication: The role of frequent, multi-channel communication in moving deals forward.Satisficing vs. Being the Best: Applying decision theory: Should B2B companies aim to be safest rather than “the best”?Strategic Positioning & Segmentation: Adapting messaging to different customer segments and their unique needs.Account-Based Marketing Tactics: Engaging multiple stakeholders within target companies through tailored content.Communication with Investors vs. Customers: Differences in how value is presented to investors compared to customers.Educational vs. Promotional Email Content: The 80/20 rule for content and boosting thought leadership in emails.AI in Email Marketing: Using AI for personalization, the importance of human oversight, and potential risks.