Impact Pricing

This is an Impact Pricing Blog published on November 10, 2025, turned into an audio podcast so you can listen on the go. Read Full Article Here: https://impactpricing.com/blog/designing-hybrid-and-evolving-pricing-models-for-ai/ If you have any feedback, definitely send it. You can reach us at mark@impactpricing.com.  Now, go make an impact.   Connect with Mark Stiving: Email: mark@impactpricing.com LinkedIn: https://www.linkedin.com/in/stiving/

Mike Wilkinson, founder of Axia Value Solutions, joins Mark Stiving to explore how AI is fundamentally changing buying behavior—and why this shift exposes weak value stories more than it threatens good sellers. In this episode, Mike explains how AI has raised buyer expectations by enabling benchmarking, price testing, and faster comparisons—rewarding sellers who clearly communicate value and exposing those who don't. He and Mark show why AI creates mediocrity when used blindly, and why value clarity—not pricing tricks—determines who wins.   Why You Have to Check Out This Episode: Understand how AI is changing buyer expectations—and why buyers now demand clearer value justification before accepting price. Learn where AI helps sales—and where it hurts—including why copying AI outputs creates "AI mediocrity" instead of differentiation. Discover how value clarity and value literacy become your competitive moat in an AI-saturated selling environment.   "Whatever price you're charging or thinking of charging, make sure that it's supported by the value that you are communicating that you can deliver."  – Mike Wilkinson   Topics Covered: 02:17 – AI Is Changing How Buyers Buy. Buyers now show up informed with comparisons and benchmarks, shifting the focus from persuasion to value justification. 06:00 – How Buyers Use AI When Making Decisions. Why price-focused questions produce very different answers than value-focused ones. 09:08 – Using AI to Support Value Selling. Where AI helps sellers think through value—and where copying AI outputs makes everyone sound the same. 11:32 – The Real Problem: Most Salespeople Don't Understand Value. Why unclear definitions of value break value-based selling, with or without AI. 17:23 – AI as a Sales Assistant, Not a Replacement. How AI supports preparation and thinking, but can't replace real customer conversations. 19:25 – Practical Ways Salespeople Should Use AI. What actually helps sellers win—from research to prep—and what's just busywork. 22:55 – Researching Customers with AI Before the Call. How to use AI to understand the company, the market, and the buyer before the meeting. 27:17 – Pricing Advice: Value Has to Justify Price. Why prices fall apart when sellers can't clearly explain why they're worth it.   Key Takeaways: "The people who truly understand and communicate value are the people who will rise above that mediocrity." – Mike Wilkinson "For me, the question in the customer's mind is: if you're more expensive than a competitor, why should I make that additional investment? What do I get back in return? And if the answer is, 'I haven't a clue,' prepare to discount. If you've got some great reasons why you're worth more than competing alternatives, then you're into the conversation." – Mike Wilkinson   People & Resources Mentioned: Axia Value Solutions – Mike Wilkinson's consultancy focused on value-based selling and commercial excellence. Value-Based Selling – A sales approach centered on discovering, quantifying, and communicating customer-specific value rather than competing on price. AI in Sales Enablement – Used for research, preparation, and idea generation—not as a substitute for human judgment or relationship-building. Mentioned LinkedIn article in the episode: https://www.linkedin.com/pulse/future-selling-ai-world-michael-wilkinson-5brme/    Connect with Mike Wilkinson: Website: https://axiavalue.com/ LinkedIn: https://www.linkedin.com/in/mikewilkinson-thevalueexpert/ Email: mw@axiavalue.com   Connect with Mark Stiving: LinkedIn: https://www.linkedin.com/in/stiving Email: mark@impactpricing.com  

This is an Impact Pricing Blog published on November 3, 2025, turned into an audio podcast so you can listen on the go. Read Full Article Here: https://impactpricing.com/blog/pricing-ai-evaluating-pricing-metrics/ If you have any feedback, definitely send it. You can reach us at mark@impactpricing.com.  Now, go make an impact.   Connect with Mark Stiving: Email: mark@impactpricing.com LinkedIn: https://www.linkedin.com/in/stiving/

Steven Forth, Managing Partner at Ibbaka and co-creator of Value IQ, joins Mark Stiving to tackle a topic most pricing teams are avoiding: pricing governance in an AI-driven world. This episode explores who owns pricing decisions when AI is involved, how companies should govern data and models, and why pricing leaders must step into a broader leadership role or risk having governance imposed on them by others.  If AI is touching your pricing process in any way, this conversation will change how you think about responsibility, risk, and trust.   Why You Have to Check Out This Episode: Understand what pricing governance actually means and why poor governance shows up as finger-pointing between sales, pricing, and finance. Learn the new governance questions AI introduces around data usage, bias, accountability, and mistakes. Discover why pricing leaders must own AI governance or risk losing control of pricing decisions altogether.   "The big issue for me is how, as pricing people, do we develop the knowledge that we need to be accountable for AI pricing governance? It's not something any of us were taught." – Steven Forth   Topics Covered: 01:51 - Pricing Governance and Accountability. What pricing governance really means and why accountability breaks down when roles are unclear. 05:04 - Pricing and Customer Value Alignment. Why pricing teams sit at the center of aligning sales, product, finance, and customer value. 08:01 - AI Challenges in Pricing Governance. How AI introduces new risks around data usage, ownership, and responsibility in pricing decisions. 12:45 - AI Pricing Governance Challenges. Who is accountable when AI makes mistakes and how strict rules can slow innovation. 16:35 - AI Governance in Pricing. Why pricing leaders must take ownership of AI governance or risk losing control to other functions. 22:13 - AI Transparency in Pricing. The importance of explainable pricing models and why transparency matters to both sellers and buyers. 26:49 - AI in the Buying Process. How buyers are using AI to evaluate vendors and why transparency will shape future pricing outcomes. 28:08 - Connecting on LinkedIn. How to continue the conversation and connect with Steven Forth directly.   Key Takeaways: "Governance is an area of pricing that we don't spend enough time thinking about and talking about because it's not sexy and it does not immediately tie to results." – Steven Forth "If pricing leaders don't take ownership of AI governance, someone else will." – Steven Forth "It's the fact that the AIs are not deterministic that allows them to be, dare I say it, creative and to find new things." – Steven Forth "AI generally does a better job of explaining how it got to its answers than most humans can." – Steven Forth   People & Resources Mentioned: Tom Nagle – Referenced as Steven's mentor and a foundational thinker in pricing governance  Michael Mansard – Mentioned for prior work and thinking on pricing governance Tim Smith – Referenced for contributions to pricing governance discussions Karen Chiang - Co-founder of Ibbaka Stephan Liozu – Mentioned for advocating the Chief Value Officer role Anthropic – Research on bias and AI self-evaluation OpenAI – Data usage and model governance considerations Deal Desks – Scaling pricing guidance with AI support   Connect with Steven Forth: LinkedIn: https://www.linkedin.com/in/stevenforth/  Email: steven@ibbaka.com   Connect with Mark Stiving: LinkedIn: https://www.linkedin.com/in/stiving Email: mark@impactpricing.com  

This is an Impact Pricing Blog published on October 27, 2025, turned into an audio podcast so you can listen on the go. Read Full Article Here: https://impactpricing.com/blog/what-pe-firms-miss-in-pricing-due-diligence/ If you have any feedback, definitely send it. You can reach us at mark@impactpricing.com.  Now, go make an impact.   Connect with Mark Stiving: Email: mark@impactpricing.com LinkedIn: https://www.linkedin.com/in/stiving/  

Michael Mansard, Principal Director of Subscription Strategy at Zuora, joins Mark Stiving to challenge one of pricing's most accepted conventions: the order of good, better, best. In this episode, Michael shares original research showing how simply changing the display order to best, better, good can significantly increase purchase intent and revenue. Drawing on behavioral economics, loss aversion, and real-world testing, he explains why buyers react differently when the most expensive option is presented first.   Why You Have to Check Out This Episode: Learn how reversing plan order increased top-tier selection by 15 points in controlled testing. Understand how loss aversion works against you in traditional pricing pages and how to flip it. Discover when best, better, good works and when it can hurt retention and Net Revenue Retention (NRR).   "By simply changing the order of plans, we increased revenue by nearly 11% without changing price or features."  – Michael Mansard   Topics Covered: 01:16 - Best, Better, Good vs. Plan Order. Why the order of pricing plans matters and how flipping it can change buyer decisions. 06:23 - The Compromise Effect in Decision-Making. Why buyers gravitate toward the middle option and how loss aversion shapes that behavior. 08:11 - How Plan Order Impacts Choice. What happens when the most expensive plan is shown first and why it reframes value. 11:39 - Pricing Strategy and Consumer Behavior. How buyers justify decisions emotionally versus rationally when evaluating plans. 15:10 - Rethinking Good, Better, Best. Why traditional pricing layouts may limit revenue and when best-first works better. 18:11 - Customer Satisfaction and Pricing Strategy. Risks to churn and net retention and why right-selling matters more than upselling. 22:53 - How to Test Monetization Strategies. Why A/B testing, qualitative feedback, and small-scale experiments are essential.   Key Takeaways: "A very basic tweak, changing the order from good, better, best to best, better, good, can lead to significant revenue uplift." – Michael Mansard "Best, better, good reframes the buying question from 'Is it worth paying more?' to 'Why wouldn't I choose the best?'" – Michael Mansard "Loss aversion means the feeling of losing is much stronger than the feeling of gaining." – Michael Mansard "Pricing pages should make trade-offs clearer, not more confusing." – Michael Mansard   People & Resources Mentioned: INSEAD – Where the research originated through executive education Loss Aversion Theory – Behavioral principle driving buyer choice Goldilocks / Compromise Effect – Why buyers avoid extremes Disney+, Wix, Apple – Examples of best-better-good pricing SurveyMonkey – Example of plan order varying by segment   Connect with Michael Mansard: LinkedIn: https://www.linkedin.com/in/michaelmansard/ Article: It's Time to Flip Good, Better, Best on Its Head  (published on LinkedIn)   Connect with Mark Stiving: LinkedIn: https://www.linkedin.com/in/stiving Email: mark@impactpricing.com  

This is an Impact Pricing Blog published on October 20, 2025, turned into an audio podcast so you can listen on the go. Read Full Article Here: https://impactpricing.com/blog/how-to-define-powerful-market-segments/ If you have any feedback, definitely send it. You can reach us at mark@impactpricing.com.  Now, go make an impact.   Connect with Mark Stiving: Email: mark@impactpricing.com LinkedIn: https://www.linkedin.com/in/stiving/  

Dan Layfield, founder of the Subscription Index, joins Mark Stiving to unpack the less-visible pricing and monetization levers that drive real growth in subscription businesses. With experience scaling Codecademy from $10M to $50M in revenue and leading product teams at Uber and Diligent, Dan brings a product-led, ROI-first perspective on pricing. This episode culminates in one of the most actionable subscription pricing tactics you'll hear: how to price annual plans based on actual monthly retention, not industry norms.  If you work in SaaS, consumer subscriptions, or any recurring-revenue business, this episode offers practical insights you can test immediately.   Why You Have to Check Out Today's Podcast: Learn the annual pricing tactic that dramatically increases LTV and cash flow by aligning plan discounts to real retention behavior. Understand why subscription growth is constrained more by monetization systems than acquisition and where hidden revenue leaks live. Discover how product, pricing, and payment mechanics quietly shape retention long after customers click "Subscribe".   "If you know your average retention rate within monthly plans, and most of your users are in monthly plans, you price your annual plan to be like one or two months more than your monthly retention rate." – Dan Layfield   Topics Covered: 00:45 - How Dan Got Into Pricing. Dan shares how pricing became a key growth lever while scaling Codecademy and why monetization matters more as products mature. 01:10 - Scaling Subscription-Based Businesses. Dan shares lessons from scaling Codecademy's subscription business and why pricing becomes critical as companies grow. 05:12 - Subscription Pricing and Retention Strategies. How pricing decisions influence retention length and why subscription pricing must reflect real user behavior. 09:11 - Retention Challenges in Subscription Businesses. The difference between short-term and long-term retention products and why under-12-month subscriptions require different strategies. 11:32 - Subscription Product Strategies. Time to value versus time to success, and how product design affects lifecycle length and churn. 17:02 - Monetization Strategies in Subscription Businesses. What monetization really includes beyond price, from paywalls to upsells, renewals, and payment recovery systems. 19:45 - Checkout Flow Optimization Strategies. Why small checkout improvements deliver outsized ROI and how minor friction quietly suppresses revenue. 23:22] AI's Impact on Consumer Products. Why AI adoption is slower in consumer subscriptions than B2B SaaS and where future disruption may emerge. 26:30 - Annual Plan Pricing Strategy. Dan explains the monthly-to-annual pricing approach that boosts LTV, improves cash flow, and increases commitment. 29:31 - Key Subscription Product Insights. Final reflections on retention, monetization levers, and where subscription companies should focus first for growth.   Key Takeaways: "This is one of the few tides that lifts all boats in subscription products. It makes payment processing easier. You collect cash up front. Those users psychologically commit to the product more." – Dan Layfield "If you're retaining users for four months on average, change your annual plan discount rate to be 50%. So they're paying for six months up front." – Dan Layfield "...if you look at any of the big consumer products that discount more than 10 to 20% annual plans, you can kind of guess their monthly retention rate." – Dan Layfield   People & Resources Mentioned: Codecademy – Subscription growth case study Uber Eats – Marketplace product experience Subscription Index – Dan's subscription monetization resource Stripe / App Store Billing – Payment and dunning challenges in subscriptions   Connect with Dan Layfield: Website: https://subscriptionindex.com LinkedIn: https://www.linkedin.com/in/layfield/    Connect with Mark Stiving: LinkedIn: https://www.linkedin.com/in/stiving Email: mark@impactpricing.com  

This is an Impact Pricing Blog published on October 13, 2025, turned into an audio podcast so you can listen on the go. Read Full Article Here: https://impactpricing.com/blog/shareholder-value-is-an-outcome-not-a-strategy/ If you have any feedback, definitely send it. You can reach us at mark@impactpricing.com.  Now, go make an impact.   Connect with Mark Stiving: Email: mark@impactpricing.com LinkedIn: https://www.linkedin.com/in/stiving/

Deovrat Kajwadkar is the Director of Strategic Deal Pricing and Monetization at Google Cloud, where he sits at the center of some of the most complex commercial decisions in modern tech. With a background in management consulting at McKinsey and deep experience in cloud and AI monetization, Deovrat brings a rare inside view of how pricing actually works when products are platforms, costs are dynamic, and value is constantly evolving. In this conversation, Deovrat and Mark Stiving unpack why pricing is not just a "number-setting" function but the grade of how well everything else in the business is working. They explore the difference between platforms and solutions, why value-based pricing becomes harder as offerings become more flexible, and how AI is changing both how pricing is done and what pricing even means.   Why You Have to Check Out Today's Podcast: Learn why pricing sits at the heart of cloud and AI economics, touching product, strategy, sales, and profitability all at once. Understand how platforms, solutions, and AI fundamentally change value-based pricing, and why cost, competition, and outcomes all matter—at different layers of the stack. Discover why "pulling the dollar lever" is the most expensive move, and what smarter pricing leaders focus on first.   "Pulling the dollar lever is easy—but it's also very expensive. I'd rather pull every other lever first." — Deovrat Kajwadkar   Topics Covered: 01:40 – Cloud Pricing as a Central Role. Deovrat explains why pricing sits at the center of Google Cloud's commercial decisions—connecting product strategy, growth, profitability, and customer value. 05:09 – Cloud Computing for Enterprises. A clear, non-technical explanation of cloud computing for enterprise customers, from infrastructure and platforms to software and AI—and why pricing each layer is different. 08:48 – Value-Based Pricing Challenges. Mark and Deovrat discuss why value-based pricing is especially difficult for platforms, where customers use the same products in very different ways. 13:04 – Value-Based Pricing Strategies. A practical framework for pricing across the cloud stack: cost- and competition-based pricing at the lower layers, and outcome-driven pricing as offerings move closer to customer solutions. 18:10 – AI's Impact on Pricing Strategies. How AI is changing pricing on multiple fronts—what gets priced, how costs behave, and how quickly products and value propositions evolve. 22:34 – AI in Pricing Strategies. Deovrat breaks down how AI can support pricing decisions, from customer analysis and renewals to analytics and decision support—while stressing the importance of clean data foundations. 24:12 – AI Value Delivery Challenges. Why delivering real AI value is harder than building the technology itself, and how change management and business adoption affect pricing and monetization. 27:30 – Pricing Advice for Business Impact. Deovrat's closing advice: great pricing leaders expand their skill set beyond pricing fundamentals—and pull every lever before resorting to raising prices.   Key Takeaways: "Pricing touches almost everything—it's the heart of a company's economics." — Deovrat Kajwadkar "The more commoditized the offering, the more cost and competition matter." — Deovrat Kajwadkar "As you move closer to business outcomes, value-based pricing becomes possible—but harder." — Deovrat Kajwadkar "AI changes pricing, but it doesn't eliminate the fundamentals." — Deovrat Kajwadkar   People / Resources Mentioned: Google Cloud – Cloud platform spanning infrastructure, AI models, developer tools, and industry solutions. McKinsey & Company – Deovrat's consulting background, shaping his strategic view of pricing and technology. AI Models & Agentic Workflows – Referenced in the context of pricing analytics, automation, and decision support.   Connect with Deovrat Kajwadkar: LinkedIn: https://www.linkedin.com/in/deovrat-kajwadkar   Connect with Mark Stiving: LinkedIn: https://www.linkedin.com/in/stiving/ Email: mark@impactpricing.com  

This is an Impact Pricing Blog published on October 6, 2025, turned into an audio podcast so you can listen on the go. Read Full Article Here: https://impactpricing.com/blog/pricing-ai-the-compass-spectrum-of-pricing-metrics/ If you have any feedback, definitely send it. You can reach us at mark@impactpricing.com.  Now, go make an impact.   Connect with Mark Stiving: Email: mark@impactpricing.com LinkedIn: https://www.linkedin.com/in/stiving/

Etinosa Agbonlahor is the CEO of Decision Alpha and former Director of Behavioral Research at Fidelity Investments. A behavioral economist by training, she helps companies understand how customers actually make decisions—and how that should shape pricing. In this episode, Etinosa and Mark Stiving unpack the tension between real value and perceived value, why customers don't react to prices rationally, and how behavioral economics can strengthen pricing strategies. They explore value drivers, ethical nudging, the fear of raising prices, and why most buyers don't remember prices as clearly as business owners think. If you want clearer, psychology-backed ways to price, communicate value, and make better pricing decisions, this episode gives you practical insights you can use right away.   Why You Have to Check Out Today's Podcast: Why customers forget your prices—and how that myth makes business owners afraid to raise them. How behavioral economics expands value beyond profit into perception, context, and emotion. How to raise prices ethically using segmentation, glide paths, and clear communication.   "Understand your customer. Do the pricing research with customers—not just with quant models. Go talk to customers. It's important." — Etinosa Agbonlahor   Topics Covered: 02:08 – Pricing and Behavioral Economics. Mark and Etinosa debate where behavioral economics fits in pricing—Mark sees it as the final touch, while Etinosa argues it shapes value perception from the start. 05:20 – Defining Real vs. Perceived Value. A foundational question: is value measured strictly in outcomes, or also in emotion, context, and comparison? Their contrasting definitions reveal why pricing teams often misread customers. 09:05 – Value Beyond Monetary Price. Etinosa expands value to include convenience, safety, time saved, emotional comfort, and opportunity cost—benefits customers feel but rarely articulate. 10:37 – Value Drivers in Pricing Strategies. Behavioral research uncovers the real outcomes customers care about. Mark connects this to pricing strategy: quantify value drivers to justify stronger pricing. 15:32 – Manipulation in Behavioral Economics. Mark asks whether nudging is manipulation. Etinosa explains that behavioral tools aren't coercive—intent determines whether they help or harm the customer. 18:02 – Ethics of Choice Architecture. Every pricing page is a designed choice. Etinosa contrasts ethical nudges with dark patterns, while Mark questions how businesses balance their goals with customer wellbeing. 22:22 – Behavioral Economics in Business. Real-world examples show how behavioral insights improve retention, financial outcomes, and long-term customer relationships—not just revenue. 24:20 – Pricing Fears and Customer Perception. The Spotlight Effect is a myth: customers don't track your prices as closely as you think. The two discuss how clearer communication and segmentation reduce backlash when raising prices. 28:48 – Understand Your Customer. Etinosa's closing advice: real pricing power comes from customer conversations—not spreadsheets. Behavioral economics begins with understanding actual human behavior.   Key Takeaways: "Value is all about perception. Once you step into perception, you're in behavioral economics." — Etinosa Agbonlahor "There is no such thing as a neutral choice. Every pricing page is designed—intentionally or unintentionally." — Etinosa Agbonlahor "People are not rational. Once you accept that as fact, you can design pricing that fits how people actually behave."  — Etinosa Agbonlahor "Business owners think customers remember prices more than they actually do." — Etinosa Agbonlahor   People / Resources Mentioned: Richard Thaler – Nobel laureate; originator of transaction utility and foundational behavioral economics concepts. Dan Ariely – Author of Predictably Irrational, referenced in discussing irrational decision patterns. Weber-Fechner Law – Psychological principle used to design perceptually smoother price increases.   Connect with Etinosa Agbonlahor: LinkedIn: https://www.linkedin.com/in/etinosasere Email: etinosa@decision-alpha.com   Connect with Mark Stiving: LinkedIn: https://www.linkedin.com/in/stiving/ Email: mark@impactpricing.com

This is an Impact Pricing Blog published on September 29, 2025, turned into an audio podcast so you can listen on the go. Read Full Article Here: https://impactpricing.com/blog/nobody-wants-to-buy-ai/ If you have any feedback, definitely send it. You can reach us at mark@impactpricing.com.  Now, go make an impact.   Connect with Mark Stiving: Email: mark@impactpricing.com LinkedIn: https://www.linkedin.com/in/stiving/

Danilo Zatta is the author of The Pricing Model Revolution, The 10 Rules of Highly Effective Pricing, and the new book Revenue Growth Management. He is recognized as one of LinkedIn's Top 5 Pricing Thought Leaders and brings decades of consulting experience from Accenture, Simon-Kucher, and BCG. His work is anchored in one simple insight: pricing is the "sunny side" of consulting. He shares real examples of companies that increased profit by cutting ineffective promotions and by detecting thousands of spare-part pricing outliers with AI. This episode explores pricing leadership, the CEO's role, the difference between pricing truth and framework preference, and why democratized pricing knowledge makes talent the true competitive advantage.   Why You Have to Check Out This Episode: Learn how AI spots hidden pricing outliers across hundreds of thousands of SKUs and turns them into instant profit. Discover why FMCG companies burn cash on promotions and how smart RGM frameworks finally fix it. Understand the real "truth" behind pricing frameworks and why people, not methodology, drive pricing success.   "Start the AI pricing journey—not by boiling the ocean—but by finding a use case that works, proves value, and then expand it." – Danilo Zatta   Topics Covered: 01:27 - How Dan Got Into Pricing. His shift from cost-cutting to pricing and why he calls it the "sunny side" of consulting. 06:57 - Freedom in Consulting Choices. Comparing Accenture, Simon-Kucher, and BCG—and why team chemistry matters most. 09:11 - Revenue Growth Management. How FMCG brands optimize trade terms, promos, and price architecture for profit. 11:55 - FMCG as B2B. Why FMCG selling to retailers is a pure B2B relationship with limited price control. 17:22 - Implicit Collusion in Airlines. How industries use public price signaling to influence competitor behavior. 19:13 - AI in Spare Parts Pricing. How AI identified major pricing outliers and delivered over €1M in quick wins. 24:42 - Why AI Beats Excel. AI's advantage in scale, complexity, and instant alerts across massive SKU sets. 27:15 - Starting Your AI Pricing Journey. Begin with one use case, prove it works, then expand—no perfect data needed.   Key Takeaways: "Pricing used to be specialized knowledge. Today it's democratized—so what differentiates you is the team, not the tools." – Danilo Zatta "If you're the market leader, you must act first. Smaller players can't reduce promotions until you do." – Danilo Zatta "Pricing is never boring because every industry has its own logic, levers, and constraints." – Danilo Zatta   Books by Danilo Zatta: The Pricing Model Revolution: https://www.amazon.it/Pricing-revolution-pricing-cambier%C3%A0-comprare/dp/8836010547/ The 10 Rules of Highly Effective Pricing: https://www.amazon.com/Rules-Highly-Effective-Pricing-Management/dp/1394195761 Revenue Growth Management: https://www.amazon.it/Revenue-Management-Manufacturing-Application-Industry/dp/3319807595/   Connect with Danilo Zatta: Website: https://www.danilozatta.com/  LinkedIn: https://www.linkedin.com/in/danilo-zatta  Books: https://www.danilozatta.com/books/    Connect with Mark Stiving: LinkedIn: https://www.linkedin.com/in/stiving Email: mark@impactpricing.com  

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

Ed Arnold, founder and managing partner at The Valorizer, brings decades of hands-on experience building customer value models, teaching value conversations, and guiding companies toward value-based pricing. After working directly with Tom Nagle at Monitor Group and leading value initiatives at LeveragePoint, Forrester, and Ibbaka, Ed has become one of the most respected practitioners of Economic Value Estimation (EVE) in B2B. In this episode, Ed and Mark dive deep into what "value" actually means, why B2B buyers define it differently than sellers, and how to quantify economic outcomes in a way that withstands scrutiny. They debate value vs. willingness to pay, unpack why value stories outperform case studies, and explore how real conversations—not spreadsheets—unlock premium pricing.   Why You Have to Check Out Today's Episode: Master the real meaning of "value" in B2B—and why most companies still get it wrong. Discover how to run a value conversation that reveals economic impact and customer priorities. Learn how to turn EVE models into persuasive value stories your buyers can resell internally.   "You need to quantify the value of the product you're selling—and you need to talk to customers about that to understand it and write their value story."  — Ed Arnold   Topics Covered: 05:09 – Value Perception in B2B: Why Customers Decide with Both Logic and Emotion 08:34 – Value vs. Willingness to Pay: The Debate Begins 12:06 – Why Willingness to Pay Is Not Value (And What It Actually Measures) 19:04 – Value Perception in B2B Sales: Influence, Trust, and Risk 20:41 – Value Is Always Relative (And Why Alternative Choices Change Everything) 24:26 – Value-Based vs. Competitor Pricing: Why They Aren't the Same Thing 28:03 – Value Story vs. Case Study: What Buyers Actually Need to Make Decisions 32:47– Quantifying Product Value: How to Build a Story Buyers Can Take to Their Executives   Key Takeaways: "Value comes from use, not purchase." — Ed Arnold "Willingness to pay is not value, if it were, we'd never talk about leaving money on the table." — Ed Arnold "In B2B, value is 80% logic, 20% emotion." — Ed Arnold "A value story is customized. A case study is generic." — Ed Arnold "You can't build a value story without having a value conversation first." — Ed Arnold "Sometimes the value model reveals there simply isn't a differentiated advantage—and you have to accept that." — Ed Arnold    People and Resources Mentioned: Tom Nagle: https://www.linkedin.com/in/thomas-tom-nagle LeveragePoint: https://www.leveragepoint.com/  Reed Holden: https://www.linkedin.com/in/reed-holden-913ab69/    Connect with Ed Arnold: LinkedIn: https://www.linkedin.com/in/edarnold1/  Newsletter: https://edarnold1.substack.com/    Connect with Mark Stiving: LinkedIn: https://www.linkedin.com/in/stiving/ Email: mark@impactpricing.com  

This is an Impact Pricing Blog published on September 15, 2025, turned into an audio podcast so you can listen on the go. Read Full Article Here: https://impactpricing.com/blog/why-buyers-really-buy/ If you have any feedback, definitely send it. You can reach us at mark@impactpricing.com.  Now, go make an impact.   Connect with Mark Stiving: Email: mark@impactpricing.com LinkedIn: https://www.linkedin.com/in/stiving/

Matt Knaggs, Senior Business Value Lead at Zilliant, brings a decade of pricing insight shaped by an unexpected leap from industrial safety into commercial excellence. Known for blending analytics, AI, and practical sales enablement, he now helps B2B companies make smarter, more confident pricing decisions by pairing data science with human judgment. In this episode, Matt and Mark dive straight into the real-world intersection of pricing and AI, where deterministic models still set prices, GenAI fills in missing context, and messy CRM data finally becomes usable.  Matt shares how he built a custom GPT that builds other GPTs, why "pricer in the loop" is essential, and how AI can elevate pricing teams without replacing them. They unpack the future of pricing, the danger of outsourcing expertise, and why curiosity beats perfection in an AI-driven world.   Why You Have to Check Out Today's Episode: Learn how AI can enhance pricing (without setting prices for you) - including specific use cases where GenAI adds context, fills data gaps, and boosts pricer effectiveness. Discover the "Pricer in the Loop" model and why Matt believes humans will remain essential for trust, validation, nuance, and internal adoption. See how to use AI as a thought partner - to generate buyer problems, value drivers, competitive alternatives, and messaging frameworks that accelerate value-based pricing.   "Don't hide from all of the advancements in AI. It can be scary and intimidating, but try what you can. AI won't tattle on you for asking dumb questions." - Matt Knaggs   Topics Covered: 03:30 – How Matt Went From Safety to Pricing—and Why the Discipline Hooked Him 04:22 – The Reality of AI in Pricing: What Matt Sees Working (and Failing) Inside Companies 11:58 – Matt Reacts to Mark's Approach: Using AI to Map Buyer Context 15:34 – When a Pricing Expert Builds AI That Builds AI: Matt's Custom GPT Story 19:01– The Messy Data Problem Every Pricer Knows… and How Matt Uses AI to Fix It 24:09– Matt's Honest Take on the Future: Why AI Won't Replace Pricers Anytime Soon 27:34 – The Threat to Expertise: Matt and Mark Explore What Happens When People Outsource Thinking 31:53 – What AI Can Do for Pricing Strategy (If You Use It Intelligently) 33:15 – Matt's Final Challenge to Pricers   Key Takeaways: "AI is probabilistic, not deterministic. You can give it the same inputs and get different outputs. That's why I'm not ready for GenAI to set prices." - Matt Knaggs "You don't need to learn AI to protect your job. But if you ignore it, the person who learns how to use AI might take your job." - Matt Knaggs "The future pricer isn't replaced—it's the translator. The one who explains the 'why' behind what AI suggests." - Matt Knaggs "You can't outsource judgment. You need the pricer in the loop to validate hallucinations, nuance, and context." - Matt Knaggs "AI can scan markets, pull competitor moves, and hand-wave at things you should consider—things deterministic models miss." - Matt Knaggs   People & Resources Mentioned: Zilliant: Pricing optimization & management platform where Matt leads value initiatives Stephan Liozu: Pricing author referenced for value-based pricing frameworks Salesforce + OpenAI / Claude Connectors: For CRM automation   Connect with Matt Knaggs: LinkedIn: https://www.linkedin.com/in/matthewknaggs/   Connect with Mark Stiving: LinkedIn: linkedin.com/in/stiving Email: mark@impactpricing.com  

This is an Impact Pricing Blog published on September 8, 2025, turned into an audio podcast so you can listen on the go. Read Full Article Here: https://impactpricing.com/blog/pricing-ai-the-value-of-packaging/ If you have any feedback, definitely send it. You can reach us at mark@impactpricing.com.  Now, go make an impact.   Connect with Mark Stiving: Email: mark@impactpricing.com LinkedIn: https://www.linkedin.com/in/stiving/

Bill Diggons, managing partner at Qittitut Consulting (yes, named after a fast-growing, healthy Inuit bear), shares 24 years of pricing wisdom earned across 182 projects in 57 countries. A disciple of pricing legend Tom Nagle and former oil industry marketer at Schlumberger and Halliburton, Bill reveals why single-column bids are leaving 3-5 margin points on the table and how tiering transforms B2B pricing. From Wagyu beef pricing psychology to semiconductor de-specification strategies, Bill and Mark debate whether prices should be easy or hard to compare, why "Boss Hog" beats techno-nerd names, and the counterintuitive power of ending prices in odd numbers instead of zeros. Plus, why Bill charges $5,000 extra just to read client contracts.   Why you have to check out today's podcast: Discover why tiering consistently delivers 3-5 margin points minimum—and how three-column bids with strategic naming force buyers to make trade-offs instead of price comparisons. Learn the "no zeros" pricing rule that generated $8 million in three months by making prices look carefully calculated rather than negotiable. Master the art of non-compliant RFP responses with alternatives that disrupt tender processes and win on value instead of lowest price.   "Not profound, but no zeros on the quote. It's so often that we can get half a margin point just out of stuff like that. And then beyond that, try some naming and tiering because it's going to work for you." – Bill Diggons   Topics Covered: 02:09 - The Qittitut Origin Story: Why a Dancing Bear Beat "Bill & Bob's Consulting". 05:39 - What is Tiering? Moving Beyond Single-Column Bids. 10:07 - The Restaurant Menu Masterclass and Boss Hog's Emotional Appeal - How to Decide What Features Go in What Tiers. 19:02 - Responding to RFPs with Tiered Alternatives and Non-Compliant Bids. 20:02 - The Power of "Networking Best Practices Meeting" vs. "Presentation". 26:23 - Final Advice: No Zeros on the Quote (And Why It Generated $8 Million). 28:12 - Contacting Bill and Why He Charges $5,000 to Read Contracts.   Key Takeaways: "Tiering to me is having at least a three-column bid, naming the columns, and then having some names on the products or services to imply added value. Whenever we've introduced this, it always results in three to five margin points minimum." - Bill Diggons "I demand the right to segment that price to the outcome, the value the buyer gets. Even though the variable cost of the motor is identical, I want to be able to sell it at an economy price in a benign environment and at a premium price in an extreme environment because I put billions of dollars into creating this thing." - Bill Diggons   People / Resources Mentioned: Tom Nagle: Author of "Strategy and Tactics of Pricing" - pricing authority who transformed Bill's approach in oil and gas. Schlumberger: Oil company where Bill worked in marketing. Halliburton: Oil company in Bill's background. QSales: Where Bill was practice leader for 20 years. A.T. Kearney, McKinsey, Deloitte: Consulting firms mentioned in the RFP rejection story where Bill's price was "too low". Starbucks: Referenced for tall, grande, venti tiering strategy. iPhone/Apple: Used as two examples - 99-cent pricing psychology AND customers not comparing to Huawei when upgrading. Huawei: Mentioned as iPhone competitor that iPhone users ignore when upgrading.   Connect with Bill Diggons: Company: https://www.qittitut.com/  Linkedin: https://www.linkedin.com/in/billdiggons/  Email: bill@qittitut.com   Connect with Mark Stiving: LinkedIn: https://www.linkedin.com/in/stiving/ Email: mark@impactpricing.com