Predictable B2B Success

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550

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Aug 2026

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About the show

If you lead a bootstrapped or funded B2B tech company and need revenue to be predictable, not just possible, this podcast was built for you. Predictable B2B Success is the only show built exclusively for CEOs at seed-to-Series C tech companies who are ready to replace random acts of growth with a scalable, repeatable revenue system from first dollar to $50M+ ARR and beyond. Each week, host Vinay Koshy sits down with elite revenue operators, GTM leaders, and founders who have solved the hardest problem in funded B2B tech: turning chaotic, unpredictable growth into something structural, a system that holds under investor pressure, market shifts, and scale. What you will walk away with every episode: Operating frameworks for building predictable revenue pipelines Real playbooks from founders who have scaled B2B companies from seed to Series C and beyond GTM, RevOps, demand generation, and category design insights built for C-suite decisions, not marketing teams Strategies that compound across your organisation, not one-off tactics that fade Why 500+ episodes and a 5.0-star rating? This is not a show about inspiration. It is a show about operating clarity. Every guest is chosen because they have built systems in sales, content, community, product, or customer success that made revenue predictable. After 500+ episodes, the patterns are unmistakable. This archive is your competitive advantage. Trusted by founders and CEOs at bootstrapped and funded B2B tech companies across SaaS, cleantech, AI, and enterprise software. Rated 5.0 stars on Apple Podcasts. Ranked top 5 B2B podcast by Feedspot (2026). 500+ episodes since 2020. Subscribe now and get a new episode every week, turning your revenue from a moving target into a scalable system. Show notes, frameworks, and transcripts: sproutworth.com Subscribe to The Inclined, the weekly newsletter for funded B2B tech CEOs: sproutworth.com/newsletter Connect with Vinay Koshy on LinkedIn: linkedin.com/in/vinaykoshy

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60 recent

August 18, 2026Episode 5511 hr 1 min

Decision-Making Frameworks: The $56M Call a CEO Almost Got Wrong

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.

August 11, 2026Episode 5501 hr 25 min

Why B2B Deals Arent Lost on Price: Theyre Lost on Strategy

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.

August 4, 2026Episode 54943 min

Deflection Rate Is the Wrong AI Metric. Heres What Replaces It

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 metric Importance of interaction mining Revenue leakage from missed opportunities Training AI on top performer behaviors Compliance and liability risks of AI Shortcomings of prompt-based deployment AI unlocking new business models Need for continuous post-launch improvement Regulation accelerating AI adoption Organizational and cultural change for AI success

July 28, 2026Episode 5481 hr 0 min

Why LinkedIn Cant Prove Your Expertise, And What Actually Will

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.

July 21, 2026Episode 54758 min

Why Your Discount Code Box Is Killing E-Commerce Conversions

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 purchases E-commerce discounting pitfalls (coupons, constant sales) Origin and purpose of Dbargain’s negotiation AI How agentic AI negotiates prices in real time Setting and controlling discount thresholds for merchants AI learning, behavior, and user privacy Adapting negotiation strategies across global cultures Risks and limits of AI (hallucination, control boundaries) Friction vs. engagement in the checkout process Potential use of negotiation AI in B2B and key business lessons

July 14, 2026Episode 54652 min

The $1M AI Efficiency Play That Started With a Slack Problem

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?

July 7, 2026Episode 5451 hr 7 min

Why Your Pipeline Stalls When Buyers Dont Trust Your Category

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.

July 1, 2026Episode 5441 hr 0 min

$15 Trillion Locked in Client Invoices — Get Paid Faster

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 payments Dynamic Discounting & Early Payment Discounts : How early payment incentives work and why adoption by SMBs has been slow From VC to Founder: Lessons Learned : Contrasting generalized investor advice with founder reality Angel Funding vs Venture Capital : Reasons for choosing angel funding and its implications for growth Founders’ Relationships with Investors : Leverage, empathy, and differences between angels and VCs Cash Flow as a Growth Lever : Viewing cash flow management as a strategic choice, not just accounting Market Education & Product Adoption : Teaching SMBs new behaviors and evolving the company’s pitch US vs Europe: Cultural and Market Differences: The effect of optimism, directness, and openness on business-building Advice for Founders on Cash & Fundraising : Challenging common wisdom on MVP pricing, milestones, and proof points

June 23, 2026Episode 5431 hr 12 min

54% More Leads at Trade Shows Without a Bigger Budget

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 events Trust in In-Person Events : Why face-to-face interactions are becoming the most trusted B2B marketing channel Trade Show ROI and Measurement : The challenge of measuring ROI and the three-legged stool model for event success Booth Engagement Strategies : The role of engagement tactics and staff training in maximizing trade show outcomes Humanization of B2B Engagement : The enduring value of authentic relationship building amidst digital noise Event Metrics and Analytics : New ways to track physical engagement and crowd density at shows Economic and Geopolitical Challenges : How broader global issues impact event attendance and effectiveness Virtual vs. Physical Events : Lessons from the shift to virtual and why in-person leads to better engagement Engagify’s Attract-Connect-Convey Framework : Step-by-step approach to drawing, connecting, and informing booth visitors Scaling Engagement Beyond the Founder : Building and training a team to deliver consistent booth experiences

June 16, 2026Episode 5421 hr 5 min

Why B2B Go-to-Market Fails at Sequencing, Not Execution

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 worldwide Right Actions, Wrong Sequence : How companies undermine growth by doing the right things in the wrong order Financial Goal Setting : The necessity of clear financial (not just KPI) goals: continuity, ambition, and dream Organizational Alignment : The need for unified goals and eliminating departmental silos The Seven Principles/Steps : The stepwise framework that drives predictable growth Data-Driven Focus: The Pencil Method : Using facts (not gut) to determine where revenue actually comes from The Golden Egg: Emotional Differentiation : Creating an emotional, uncopyable reason for customers to choose your brand Strategies 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 loyalty Plan Execution & Guaranteed Results : The phases of implementation and what “guaranteed growth” means with Bitsing