Blogcast: Buyers Don't Buy Features

If value comes from solving problems… why do buyers struggle to explain the problems they actually have? In Episode 4 of the Buyer Decision Series, Mark Stiving and Rebecca Kalogeris explore why buyers often jump straight to solutions instead of clearly articulating their problems. But the real value conversation doesn't start with features or products — it starts with understanding the problem behind the purchase. Discover why the sellers who understand a buyer's problems best are the ones buyers trust most… and why that trust increases the confidence needed to say yes.   Why you have to check out today's podcast: Understand why value only exists when a real problem is being solved—and why no problem means no value. Learn why buyers often jump to solutions and features instead of articulating their real problems. See why the best sales conversations focus less on products and more on diagnosing the buyer's situation.   Catch Up on the #BuyerDecisionSeries: Episode 1: Buying Is a Prediction of the Future  Episode 2: Buyers Buy Futures, Not Features  Episode 3: What Buyers Actually Pay For   "If there's no problem, there's no value." — Mark Stiving   Topics Covered: 00:00 – The Question Most Buyers Never Stop to Ask.  Mark opens with a simple but powerful question: what problem are we actually trying to solve? The starting point behind value — and why most buyers skip it. 02:00 – The Rule That Explains Why Value Only Exists When Problems Exist. Mark introduces the second half of the Second Law of Value: value is the result of solving problems. If there's no meaningful problem, there's no reason to pay. 02:28 – The "Drill Aisle" Mistake Buyers Make. Why buyers walk into a store asking for a drill instead of understanding what they actually need — and how jumping straight to solutions leads to bad decisions. 05:12 – Why Feature-Focused Buyers Often Choose the Wrong Solution. From cars to CRM systems, buyers instinctively compare features instead of identifying the deeper problems they're trying to solve. 08:09 – The Question That Instantly Builds Buyer Trust. Why great sellers ask deeper questions about context and behavior — revealing problems the buyer hasn't fully articulated. 09:55 – The Confidence Equation Behind Every Buying Decision. Mark revisits the confidence framework — payoff, probability, and anticipated regret — and explains why understanding problems increases the probability a buyer believes your solution will work. 11:04 – The "Doctor Test" for Great Selling. Rebecca compares great sellers to doctors: when someone clearly diagnoses your problem, you immediately trust their solution. 12:48 – The Next Puzzle: Turning Problems Into Measurable Value. Mark previews the next episode: how companies can help buyers quantify value once the real problems are understood.   Key Takeaways: "Buyers typically are horrible at articulating their own problems."  — Mark Stiving "Nobody cares about your product. What they care about are the problems you can solve and the results they'll achieve."  — Mark Stiving "The better a salesperson is at understanding your problems, the more likely you are to believe that solution solves your problem."  — Mark Stiving "When someone can articulate your problem with nuance and detail, suddenly you believe they can solve it." — Mark Stiving "Confidence changes when someone demonstrates they truly understand your situation." — Rebecca Kalogeris   People / Concepts Mentioned: Theodore Levitt. Referenced for the famous insight: "People don't want a quarter-inch drill. They want a quarter-inch hole." Jobs to Be Done. A framework focused on understanding the underlying job a customer is trying to accomplish.   Connect with Rebecca Kalogeris: LinkedIn: https://www.linkedin.com/in/rebecca-kalogeris   Connect with Mark Stiving: LinkedIn: https://www.linkedin.com/in/stiving/ Email: [email protected]  

This is an Impact Pricing Blog published on January 5, 2026, turned into an audio podcast so you can listen on the go. Read Full Article Here: https://impactpricing.com/blog/price-is-the-tradeoff/ If you have any feedback, definitely send it. You can reach us at [email protected].  Now, go make an impact.   Connect with Mark Stiving: Email: [email protected] LinkedIn: https://www.linkedin.com/in/stiving/

If buyers are predicting the future… and confidence determines when they act… what are they actually paying for? In Episode 3 of the Buyer Decision Series, Mark Stiving and Rebecca Kalogeris explore the next piece of the puzzle; and challenge a common assumption about value. Because what buyers pay for may not be what you think. Discover what buyers are really evaluating; and why understanding it can completely change how you talk about value and pricing.   Why You Have to Listen: Understand what buyers are really paying for—and why it's rarely the product itself Learn the Second Law of Value and how it reshapes the way pricing conversations work See how B2B buyers think about results through revenue, cost savings, and risk Recognize the hidden personal outcomes buyers consider—even in business decisions Build the next layer of the Buyer Decision framework introduced in Episodes 1 and 2   Catch Up on the #buyerDecisionSeries: Episode 1: Buying Is a Prediction of the Future https://impactpricing.com/podcast/buying-is-a-prediction-of-the-future/ Episode 2: Buyers Buy Futures, Not Features https://impactpricing.com/podcast/buyers-buy-futures-not-features/   "Value is the result of solving problems." — Mark Stiving   Topics Covered: 00:22 - Recapping the First Two Episodes. Buying is prediction, and confidence determines when someone acts 01:32 - Confidence Threshold in Buying Decisions 02:11 - Introduction to Laws of Value 02:42 - Umbrella Law: Buyers Trade Money for Value 03:14 - Law One: Buyers Make Predictions 04:02 - Law Two: Value is the Result of Solving Problems 05:02 - Confidence Components: Payoff, Probability, Anticipated Regret 06:07 - B2B Results: Incremental Profit + Reduced Risk in B2B 08:22 - Results in B2C: Functional, Social, and Emotional Value. Consumers buy outcomes like better performance, social perception, or emotional satisfaction 10:43 - Why Individual Buyers Still Matter in B2B. Even business decisions include personal outcomes like reputation and career impact 12:50 - What Comes Next: Quantifying Value. How sellers can help buyers understand the payoff they expect   Key Takeaways: "Value is the result of solving problems." — Mark Stiving "Individual buyers inside companies still care about how decisions make them look and feel." — Rebecca Kalogeris   Connect with Rebecca Kalogeris: LinkedIn: https://www.linkedin.com/in/rebecca-kalogeris   Connect with Mark Stiving: LinkedIn: https://www.linkedin.com/in/stiving/ Email: [email protected]  

This is an Impact Pricing Blog published on December 29, 2025, turned into an audio podcast so you can listen on the go. Read Full Article Here: https://impactpricing.com/blog/buyers-dont-buy-features/ If you have any feedback, definitely send it. You can reach us at [email protected].  Now, go make an impact.   Connect with Mark Stiving: Email: [email protected] LinkedIn: https://www.linkedin.com/in/stiving/

Buying isn't logical;  it's predictive.  In this episode, we explore why buyers hesitate, stall, and say "let me think about it" — even when the value is clear. Mark Stiving and Rebecca Kalogeris break down the real driver behind purchase decisions: confidence — the balance of payoff, probability, and anticipated regret. If buyers are betting on a future, your job isn't to explain features; it's to increase their belief that the future you promise will actually happen. Listen in to understand why buyers buy futures, not features and how to close the confidence gap without lowering your price.   Why You Have to Listen: Understand why buying is closer to gambling than logic; and what that means for pricing. Learn the three drivers of buyer confidence and how to increase them without discounting. Discover why more information often reduces clarity instead of increasing commitment.   "Buyers buy futures, not features." — Mark Stiving   Topics Covered: 01:00 – Buying Is a Prediction. Every purchase is a bet on the future — and we're surprisingly bad at making predictions 02:30 – Buying as Gambling. Why customers are placing bets without knowing the odds — and what sellers misunderstand about that 04:00 – Confidence = Payoff + Probability. The two core levers behind every buying decision: 06:30 – Belief Beats Information. Why more facts don't necessarily increase confidence — and why belief often wins 08:30 – The Confidence Threshold. Buyers must cross a psychological line before they commit — and most sellers don't know where that line is 10:00 – Anticipated Regret: The Hidden Variable. What happens if I'm wrong? Will I get blamed, embarrassed, or fired? 11:45 – The Real Buyer Disconnect. Sellers talk about features. Buyers are trying to predict their future. 13:00 – Mic Drop Moment. The insight that reframes everything: buyers buy futures, not features   Key Takeaways: "Predictions are really hard — especially when they're about the future." – Referencing Yogi Berra, discussed by Mark & Rebecca  "Confidence isn't just value. It's payoff, probability… and anticipated regret." – Mark Stiving "There's a confidence threshold you have to cross before you're willing to buy." – Mark Stiving "If I don't believe it, no amount of facts I'm reading are going to help me." – Rebecca Kalogeris   People/Resources Mentioned: Yogi Berra Buyer Disconnect (Mark Stiving's Upcoming Book)    Connect with Rebecca Kalogeris: LinkedIn: https://www.linkedin.com/in/rebecca-kalogeris    Connect with Mark Stiving: LinkedIn: https://www.linkedin.com/in/stiving/ Email: [email protected]  

Before we talk about confidence. Before we talk about willingness to pay. Before we talk about buyer disconnect. We need to question something far more fundamental: What are buyers actually doing when they decide? In this pilot episode of the Decision Series, Mark Stiving and Rebecca Kalogeris unpack a deceptively simple idea that reframes how every purchase works;  especially in B2B.  They explore why value isn't as concrete as we assume, why certainty is often an illusion, and why so many pricing conversations miss what's really driving the decision. If pricing sometimes feels disconnected from buyer behavior, this episode starts to reveal why.   Why You Have to Listen: Understand why value doesn't exist at the moment of purchase; and what buyers are actually evaluating instead. Reframe perceived value as a belief about the future, not a fact in the present. Lay the foundation for everything that follows in the Buyer Decision series.   "Buying is a prediction of the future."  – Mark Stiving    Topics Covered: 00:00 – Buying Is a Prediction of the Future. The foundational idea that reshapes how we think about value 01:40 – What Is Buyer Disconnect? The gap between how buyers perceive value and how sellers think buyers perceive value 04:30 – The Drill Example: When Does Value Actually Happen? Value doesn't exist at purchase — it only exists if the future plays out as expected 06:20 – Perceived Value vs. Real Value. Why perceived value is all buyers have when they decide 09:45 – Why B2B Raises the Stakes. Business buyers are predicting both product outcomes and reputational consequences 11:40 – What Comes Next: Confidence. If buying is prediction, the next question is obvious — how do buyers build enough confidence to act?   Key Takeaways: "Value doesn't exist at the time of purchase." – Mark Stiving  "Buyer disconnect is the gap between how buyers perceive value and how sellers think buyers perceive value." – Mark Stiving "In B2B, buyers aren't just predicting product outcomes — they're predicting what happens to their reputation." – Mark Stiving "There are two predictions in every purchase; I assume the product will behave the way I expect, and I assume I'll behave the way I expect." – Rebecca Kalogeris   Resources and People Mentioned: Yogi Berra Buyer Disconnect (Mark Stiving's Upcoming Book)   Connect with Rebecca Kalogeris: LinkedIn: https://www.linkedin.com/in/rebecca-kalogeris   Connect with Mark Stiving: LinkedIn: https://www.linkedin.com/in/stiving/ Email: [email protected]  

This is an Impact Pricing Blog published on December 22, 2025, turned into an audio podcast so you can listen on the go. Read Full Article Here: https://impactpricing.com/blog/pricing-ai-when-algorithms-replace-buyers/ If you have any feedback, definitely send it. You can reach us at [email protected].  Now, go make an impact.   Connect with Mark Stiving: Email: [email protected] LinkedIn: https://www.linkedin.com/in/stiving/  

Whether you've been with us since the beginning or you just discovered Impact Pricing last week, this episode is for you. If you're one of our longtime listeners, you know Mark's voice, you've heard his insights, and maybe you've even implemented some of his strategies in your own business. But have you ever wondered what drives him to keep showing up week after week, year after year? If you're new here, welcome. You're about to meet the person behind the podcast—not just as a pricing expert, but as someone who genuinely loves teaching and believes that understanding value can transform your business and your career. Mark Stiving is the host of Impact Pricing and founder of Impact Pricing LLC. But before he was a pricing expert, he was a teacher—of scuba diving, kayaking, and marketing. That passion for helping people learn never left him. Even after retiring in 2019, Mark couldn't stop sharing what he knows about pricing and value. In this heartfelt solo episode, Mark pulls back the curtain on his journey. He shares why he chose to dedicate his post-retirement life to pricing education, what keeps him energized after blogging every week since 2010, and the two critical topics that consume his attention right now. This isn't just another pricing lesson—it's an invitation to understand the "why" behind everything we do here at Impact Pricing. For our loyal listeners: Thank you for being part of this community. This episode is Mark's way of reconnecting with you and reaffirming his commitment to your success. For our new listeners: This is the perfect place to start. You'll understand not just what we teach, but why it matters so deeply to the person teaching it.   Why you have to check out today's podcast: Discover why teaching and sharing pricing knowledge became Mark's post-retirement mission and driving passion. Learn about the two critical topics dominating modern pricing strategy: AI pricing and context-driven pricing. Understand how value impacts decisions across sales, marketing, product development, and packaging—not just pricing.   "Probably my single most favorite thing is when I share something with someone and it has an impact on their life. I absolutely love that." - Mark Stiving   Topics Covered: 00:30 - Mark's Retirement and Continued Mission. Why Mark retired in 2019 but couldn't stop sharing pricing knowledge, and how his blogging streak since 2010 kept him connected to his passion. 01:15 - The Joy of Teaching. Mark's history as an instructor across multiple disciplines—from scuba diving and kayaking to university-level marketing—and why teaching is his core passion. 02:00 - The Pricing Knowledge Gap. Why pricing and value are critical business topics that remain poorly understood, and Mark's mission to change that. 02:45 - Working with Different Organizations. How Mark's work differs between large enterprises (focusing on sales teams) versus small and mid-sized businesses (focusing on executive teams). 03:30 - Two Current Focus Areas. Deep dive into Mark's concentration on AI pricing and context-driven pricing, including the concept of value architecture. 04:45 - Context-Driven Pricing Framework. How buying contexts differ for every purchase and how companies can structure their product portfolios to deliver and capture more value.   Key Takeaways: "Pricing and value are such important topics in all of business and so few people understand it. And that's almost my mission now is just to see how many people I can get to have a better understanding." - Mark Stiving "All buying is contextual. Every purchase that's made is made in a different way than any other purchase has ever been made." - Mark Stiving "When we start thinking through context-driven pricing, that drives me to something I call a value architecture, which is how do you structure the way you think, the way you built your product portfolio, the way you have packaged your greatest features?" - Mark Stiving   Resources Mentioned: Impact Pricing Blog (since 2010): https://impactpricing.com/blog/ Mark's Substack newsletter Impact Pricing monthly newsletter   Connect with Mark Stiving: LinkedIn: https://www.linkedin.com/in/stiving/ Email: [email protected] Website: https://impactpricing.com  

This is an Impact Pricing Blog published on December 15, 2025, turned into an audio podcast so you can listen on the go. Read Full Article Here: https://impactpricing.com/blog/pricing-ai-three-levels-of-value-visibility/ If you have any feedback, definitely send it. You can reach us at [email protected].  Now, go make an impact.   Connect with Mark Stiving: Email: [email protected] LinkedIn: https://www.linkedin.com/in/stiving/

Steven Forth is a pricing strategist and AI innovator with decades of experience building value-based pricing models.  As the founder of Value IQ, he blends rigorous pricing theory with emerging AI applications—often pushing the boundaries of how pricing professionals think about data, modeling, and buyer behavior. In this episode, Mark and Steven step into another live debate aka 'intellectual challenge' about AI-generated synthetic data  with real pushback, not polite agreement. They challenge whether synthetic data is a breakthrough for pricing or just smarter-looking "fake data" that distances us from buyers. What unfolds is an unscripted stress test of the idea itself, and it ends with a surprisingly human conclusion you should definitely listen to.   What You'll Learn in This Episode: What synthetic data actually is—and how it differs from simply "making up numbers." Where synthetic data becomes dangerous, especially when assumptions about buyer behavior go untested. Why even the most advanced AI modeling cannot replace direct conversations with buyers.   "Go out and talk to buyers and understand their buying process." – Steven Forth   Topics Covered: 00:00 – Why synthetic data is suddenly a pricing topic. Steven introduces Value IQ and the idea behind AI-generated pricing intelligence. The setup: why synthetic data is gaining attention—and why Mark is skeptical from the start. 03:45 – What is synthetic data (without the buzzwords)? A plain-language definition of synthetic data and how it differs from CRM or ERP history. Why backward-looking data limits pricing strategy. 06:30 – The "fake data" objection. Mark challenges the idea head-on: Isn't this just inventing numbers? A sharp exchange on statistical misuse, p-values, and the danger of generating data that simply confirms what you want to see. 09:30 – Interpolation vs. extrapolation in pricing models. Why most pricing data isn't normally distributed. Discussion of fat tails, clustering, segmentation signals, and what synthetic data might distort—or reveal. 12:30 – The three types of synthetic data. Steven outlines three practical applications. (1) AI-generated buyer simulations. (2) Stress-testing value and pricing models. (3) Modeling competitive and economic scenarios. This is where the conversation moves from theory to use cases. 16:30 – Can AI predict buyer behavior? Mark pushes the core issue: pricing changes behavior. So how can synthetic data anticipate it? A discussion about assumptions, validation, and ground truth. 20:00 – A practical example: AI-driven Van Westendorp studies. A concrete scenario: simulate 100 real buyers, test pricing sensitivity, validate with actual survey data, and refine the model. A tangible way to experiment responsibly. 23:30 – The risk: Are we moving further from real buyers? The philosophical tension of the episode. Does synthetic data create insight—or another buffer between pricing teams and customers? 26:30 – The surprisingly human conclusion. After 25 minutes of AI debate, Steven's final advice is simple and grounded: talk to buyers and understand their buying process. 29:00 – Closing thoughts and where to connect. How to reach Steven and Mark—and a final reminder that AI is a tool, not a substitute for customer insight.   Key Takeaway: "Synthetic data is data that is generated for you by your AI." – Steven Forth "With synthetic data, you can explore scenarios that do not yet exist or parts of the market you do not yet touch." – Steven Forth   People and Resources Mentioned: Craig Zawada – Former McKinsey partner, co-creator of the pocket price waterfall; now Chief Strategy Officer at PROS  Benoit Mandelbrot – Referenced in the discussion about fat-tailed distributions and why pricing data is often not normally distributed. Pocket Price Waterfall – A pricing analytics framework originally developed at McKinsey. Van Westendorp Price Sensitivity Meter – Used as a practical example of how synthetic data could simulate buyer responses. Conjoint Analysis – Discussed as a potential future application for synthetic respondents. Bayesian Updating / Bayesian Statistics – Mentioned as a way to iteratively improve models by aligning synthetic data with real-world results. Interpolation vs. Extrapolation – Statistical concepts debated in the context of synthetic modeling. Normal vs. Fat-Tailed Distributions – Discussion on why pricing data often violates normal distribution assumptions.   Connect with Steven Forth: LinkedIn: https://www.linkedin.com/in/stevenforth/  Email: [email protected] Subscribe to Steven's Substack: Synthetic data in pricing: https://pricinginnovation.substack.com/p/synthetic-data-in-pricing   Connect with Mark Stiving: LinkedIn: https://www.linkedin.com/in/stiving/ Email: [email protected]