Sleeping Barber - A Marketing Podcast

Marketers have spent years trying to prove marketing works. Better attribution. Better dashboards. Better measurement. More data. And yet marketing still struggles to defend investment when budgets come under pressure. Maybe proof isn't the real problem. In this episode of the Sleeping Barber Podcast, Marc and V sit down with Ian Whitaker, Founder and Managing Partner of Liberty Sky Advisors and a former equities analyst with more than 20 years covering media, technology and telecommunications. Ian argues that marketers have learned the vocabulary of finance without necessarily learning its grammar. Boards aren't simply deciding whether marketing works. They're deciding where the next dollar of capital should go, what return it could generate, what risk it carries and what risk the business accepts by not investing. That changes the marketing conversation. Ian explains why he thinks marketing should be understood as intangible capex, why brand investment could be separated into maintenance and growth, and why cutting marketing can create risks that aren't visible on the next quarterly earnings report. The conversation also challenges one of marketing's favourite financial metrics: ROI. As Ian points out, ROI can improve simply by reducing the denominator. You can cut marketing investment and increase marketing ROI, even while potentially making the business weaker over time. The metric may tell us something about efficiency without necessarily telling us whether we're maximizing effectiveness or enterprise value. The discussion explores discounted cash flow, pricing power, financial incentives, the accounting treatment of brand investment and why strong brands can paradoxically become victims of their own success. And ultimately, Ian makes a much simpler argument: Data isn't the problem. Data is evidence that supports the business case. It isn't the business case itself. Our Guest: Ian Whittaker: https://www.linkedin.com/in/ianwhittakermedia/ Chapters: 00:00 Why Marketing Keeps Losing the Budget Argument 01:46 Meet Ian Whitaker 04:54 Seeing What Others Miss 07:16 Why Brand Is an Underappreciated Asset 09:42 The Board Is Another Customer 11:19 Marketing Knows Finance's Words, Not Its Grammar 13:45 Why Marketing Budget Is Really a Risk Conversation 18:18 Marketing Is Intangible Capex 22:10 Why Accounting Makes Marketing Easy to Cut 25:01 Marketing Compounds — It Doesn't Just Add 26:46 Why Investors Value Brand but Still Cut Marketing 32:16 What's Wrong With Marketing ROI? 34:32 A Better Financial Model for Marketing 39:58 When Strong Brands Become Victims of Their Own Success 42:18 Data Isn't the Problem 43:11 Building the Bridge Between Marketing and Finance 45:48 Becoming a Better Marketer by Thinking Beyond Marketing 46:27 Start With the Business and Work Backwards 47:45 Why Brand Investment Is Like Defence Spending 48:56 Where to Find Ian

AI Won’t Save You. Leadership Will. Companies have spent the last few years buying AI tools, running pilots and training employees. Yet much of that investment still isn't producing the transformation leaders expected. Maybe the problem isn't the technology. In this Sharp Cut, Marc and V examine why AI transformation is ultimately a leadership and organizational design problem. They unpack research on the divide between AI experimentation and measurable business impact, Roger Martin's idea of the organization as a “decision factory,” and why making individual marketers faster may be solving the wrong problem. The real opportunity may lie in redesigning workflows, decision rights and standards around what AI can now do. They also examine a more uncomfortable question: as AI becomes increasingly capable at professional work, what should humans actually be getting better at? Marc shares the results of an AI marketing workshop where three groups used very different approaches to solve the same brief. All three produced impressive-looking work. The difference wasn't production quality. It was whether the people behind the work could explain and defend the decisions AI had helped them make. Finally, the conversation goes back to 1855 and Daniel McCallum's railroad organization. A new information technology — the telegraph — forced leaders to rethink how their organizations worked. AI may be creating the same challenge today. The tools are increasingly available to everyone. The advantage won't come from simply having them. It will come from how leaders redesign the organization around them. Chapters 00:00 AI Won't Save You. Leadership Will. 01:14 The AI Transformation We Expected Never Happened 02:23 AI Is a Mode-Seeking Machine 03:29 When AI Produces the Safe Answer 04:21 Why AI Always Says “Good Point” 05:25 The 95% AI Failure Problem 06:06 What Separates the Successful 5%? 07:45 The Organization Is the Constraint 08:00 Are We Moving Marketing Dollars Into AI? 09:08 The Modern Organization as a Decision Factory 10:46 What AI Exposes About Knowledge Workers 11:40 Does the Decision Factory Apply to Small Teams? 12:36 The Bottleneck Is Between People 13:28 The Comfortable Assumption About Human Skills 13:50 AI Is Catching Human Experts 15:36 What Should Humans Actually Be Doing? 16:03 The AI Capability Trap 17:04 Is the T-Shaped Marketer Dead? 18:24 Why AI Should Attack the Hard Problems 19:21 What Happened When Marketers Let AI Lead 20:55 Three Teams, One Marketing Brief 21:31 Polished Work That Nobody Could Defend 22:34 Evidence vs. Familiar Frameworks 24:18 Why AI Needs Human Judgment 25:17 Marketing's Stack of Bad Assumptions 26:35 The Streetlight Effect in Marketing Measurement 27:03 Are We Optimizing the 17% We Can See? 28:03 “Busy Is the New Stupid” 28:56 AI Should Multiply, Not Just Automate 30:12 It Ain't What You Do, It's the Way That You Do It 31:06 Should Leaders Lead From the Front or Behind? 32:12 What an 1855 Railroad Can Teach Us About AI 34:23 New Technology Requires New Organizations 34:51 What Leaders Should Do Monday Morning 36:21 The Difference Between the 95% and the 5% 36:34 AI Won't Save You. Leadership Will.

Marketing has more data, technology and specialist expertise than ever. But is all that sophistication actually making marketing better? In this edition of The Barber's Brief , Marc and Vassilis unpack five stories that all raise different versions of that question. First, AI assistants are increasingly embedded in how people discover and evaluate products, yet they still rank near the bottom of trusted sources for shopping recommendations. Marc asks whether AI will eventually become a reliable source of marketing knowledge or simply produce increasingly confident averages of everything we've already said. Then, V looks at PepsiCo's decision to consolidate its global media business with Publicis under a single operating model spanning strategy, planning, activation, data, identity and technology. The bigger question: has fragmentation itself become one of marketing's biggest effectiveness problems? Marc follows with the $700 billion MarTech delusion . One former privacy executive pulled her own data-broker profile and discovered she belonged to 500 segments, simultaneously classified as male and female, low income and high income. Research discussed in the episode suggests purchased targeting data can sometimes perform little better than chance, while contextual targeting may outperform it at lower cost. Then comes something refreshingly simple. The UPS Store has introduced its first brand character, Blu , designed to help expand the brand's mental associations beyond shipping into printing, shredding, mailboxes and other small-business services. V argues the opportunity isn't simply creating entertaining advertising; it's building a distinctive memory structure that can work across multiple buying situations. Finally, Marc's Ad of the Week goes to Canva's Wild Design : handcrafted stop-motion advertising in an era where almost anyone can generate something instantly with AI. The campaign combines showmanship with salesmanship while continuing to invest in a recurring character as a potential distinctive asset. More technology doesn't automatically mean better marketing. Sometimes the advantage may come from making the whole system work together — and remembering the fundamentals underneath it. Chapters: 00:00 Welcome to the Barber's Brief 01:58 Why Shoppers Use AI But Don't Trust It 03:01 Who Do Consumers Trust for Recommendations? 04:13 The AI Credibility Gap 05:09 When Low-Evidence Categories Reward the First Answer 06:23 Does AI Know Marketing Effectiveness? 08:18 Is AI Learning From Its Own Slop? 09:01 PepsiCo's Massive Global Media Shift 10:29 The Problem With Marketing Specialization 12:24 Is Fragmentation Hurting Marketing Effectiveness? 15:15 The $700 Billion MarTech Delusion 16:02 When Audience Data Is Completely Wrong 17:30 Does Targeting Actually Work? 18:42 Did MarTech Solve the Wrong Problem? 19:15 What Should CMOs Do With Their MarTech Stack? 21:31 The UPS Store Introduces Its First Brand Character 23:25 Blu as a Distinctive Brand Asset 24:21 Why Brand Characters Need Consistency 25:41 Are Brand Characters Really Making a Comeback? 27:20 Marc's Marketing Effectiveness Haiku 28:05 Ad of the Week: Canva's Wild Design 29:05 Showmanship Meets Salesmanship 30:22 Building Distinctive Assets Over Time 31:51 Why Canva Chose Craft in the Age of AI 34:18 What's Coming Next 35:38 Stay Sharp Episode Links: Shoppers ask AI for help but don't trust its advice Link: https://www.emarketer.com/content/shoppers-ask-ai-help-don-t-trust-its-advice PepsiCo hands global media to Publicis amid transformation at CPG giant Link: https://www.marketingdive.com/news/pepsico-hands-global-media-to-publicis-amid-transformation-at-cpg-giant/829556/ The $700bn Delusion Link: https://www.mi-3.com.au/26-06-2024/data-delusion-does-using-data-target-specific-audiences-advertising-actually-make The UPS Store enlists first brand character to support franchisees Link: https://www.marketingdive.com/news/the-ups-store-enlists-first-brand-character-to-support-franchisees/829215/ Ad of the week - Canva - Wild Design Link: https://www.adsoftheworld.com/campaigns/wild-design-f89d06d3-3b9d-4cd0-95de-189714c47446

Everyone wants innovation. But what exactly are we asking for? In this Post-Pod, Marc and Vassilis unpack their conversation with Fiona Stevenson, co-author of Built for Breakthrough , and start with one of the simplest problems: organizations frequently use the word “innovation” without agreeing on what it actually means. Breakthrough? Disruption? A game changer? Incremental growth? A new tactic? That distinction matters because, as Fiona argued, an idea doesn't become innovation until it is implemented and creates value. From there, the conversation turns to the organizational conditions that innovation requires. Marc and V discuss why teams rush to solutions before properly understanding the problem, why genuine innovation creates fear, and how the pursuit of certainty can push organizations toward safer incremental improvements. They also revisit Fiona's Six I's framework: Identify → Insights → Inspiration → Ideation → Iteration → Implementation Rather than treating those stages as a checklist, Vassilis argues they should be viewed as multipliers . Skip one and you risk weakening the entire system. The conversation closes with two bigger questions. First, if innovation requires focused thinking, why do we expect it to happen between back-to-back meetings? And second, if AI is giving us unprecedented productivity gains, will we use that extra capacity to explore new possibilities — or simply fill it with more of the same work? A Post-Pod about innovation, uncertainty, AI, marketing and why being busy isn't the same thing as building the future. Chapters 00:00 Welcome to the Post-Pod 00:21 Why “Innovation” Means Different Things to Everyone 01:43 What Kind of Innovation Are We Actually Asking For? 02:24 Defining Innovation Before Starting the Work 02:53 An Idea Isn't Innovation Until It Creates Value 04:04 Are We Solving Before Understanding the Problem? 04:47 The Optimization Trap 06:42 Why Fear Kills Innovation 08:39 Why Incremental Innovation Feels Safer 10:04 Fear Creates Overanalysis 10:21 “How Might We?” vs. “We Should” 11:10 Fiona's Six I's of Innovation 11:40 Innovation as a Multiplicative System 12:53 Is Intuition the Seventh I? 13:20 How Marketing and Innovation Overlap 14:28 Should Marketing Be an Innovation Function? 17:39 Innovation Doesn't Happen Between Meetings 18:32 Are We Using AI for Efficiency or Growth? 19:48 Why AI Should Create Possibility 20:08 AI Increases the Need for Discernment 20:55 Final Thoughts

Why do organizations say innovation is mission-critical, then create conditions that make innovation almost impossible? Fiona Stevenson has spent her career on both sides of that problem. After 12 years at Procter & Gamble, she co-founded The Idea Suite, an innovation consultancy that has worked across hundreds of innovation projects. She is also the co-author of Built for Breakthrough: Why Innovation Fails and How Smart Leaders Get It Right. In this conversation, Fiona joins Marc and Vassilis to unpack why innovation usually fails long before the idea itself is tested. They explore the famous Febreze story and why understanding the actual consumer problem changed the brand’s trajectory, before getting into the organizational conditions required for innovation to survive. Fiona explains why big innovation ambitions often collide with tiny budgets, part-time teams and unrealistic timelines; why past data can become dangerous when designing for the future; and why innovators need to build evidence instead of waiting for certainty. The conversation also covers Fiona’s six-stage innovation framework: Identify → Insights → Inspiration → Ideation → Iteration → Implementation And perhaps a seventh: Intuition. Plus: Why “we should…” is not an idea Why “How might we?” is such a powerful innovation question How AI is dramatically lowering the cost of prototyping Why AI should be an input, not the final output How implementation destroys good ideas through “death by a thousand cuts” Why innovation needs dedicated time, not calendar scraps How to create an innovation charter Why the best first step is simply defining the problem properly If your organization wants innovation but struggles to actually get ideas into market, this episode is for you. Enjoy the show! Chapters: 00:00 Why Innovation Dies Before the Whiteboard 01:36 Meet Fiona Stevenson 02:16 From P&G to Innovation Consulting 04:07 Moving From Client Side to Consulting 05:41 The Febreze Innovation Story 09:09 Why Consumer Understanding Comes First 10:59 What Is Innovation, Really? 13:02 The Uber Opportunity Fiona Turned Down 14:24 Different Types of Innovation 16:23 Big Innovation Ambitions vs. Organizational Reality 17:44 Why Stakeholder Alignment Matters 20:16 The Innovation Charter 21:24 Fear and the Unknown 22:00 Why Past Data Can Mislead Innovation 23:48 Why Great Marketers Can Struggle With Innovation 25:29 Getting Innovation Out the Door 27:24 The Future Has No Data 28:04 Challenging Assumptions With First Principles 30:00 AI as a Tool for Building Evidence 32:00 AI, Prototyping and Creative Potential 32:51 AI Should Be an Input, Not the Output 34:15 “We Should” Is Not an Idea 36:03 Why “How Might We?” Changes the Conversation 37:39 Fiona’s Six I’s of Innovation 39:09 Insights, Inspiration & Ideation 40:28 Why Iteration Matters 41:53 Implementation and Death by a Thousand Cuts 42:18 Protecting the Idea’s DNA 42:45 Is Intuition the Seventh I? 45:05 Why Skipping Steps Kills Innovation 47:06 The Most Undervalued Stage 48:49 How Innovation Survives Budget Pressure 50:17 Why Innovation Can’t Be a Side Job 51:39 What to Do Monday Morning 53:48 Why Innovation Needs Champions 54:26 It’s Never Too Late to Redefine the Problem 55:41 Built for Breakthrough Resources 56:11 Where to Find Fiona Link to the book: Built for Breakthrough - https://www.builtforbreakthrough.com/

Marketing has never been more measurable. It may also have never been more short-term. If measurement was supposed to solve marketing's credibility problem, why hasn't five years of better data increased CEO confidence in marketing? In this Sharp Cut, Marc and Vassilis unpack what happens when the things marketing can observe quietly become the things organizations value. They trace the progression from visibility → accountability → optimization → observability, and ask whether attribution windows, platform dashboards and ROI have inadvertently trained marketers to optimize for short-term outcomes. Using research from Boathouse, the Norwegian marketing industry and others, they explore why the same data can produce radically different conclusions depending on how it is framed. They also tackle a harder question: who is responsible? Is finance forcing marketing to think short-term? Or have marketers quietly accepted the measurement windows handed to them by platforms and brought those definitions of effectiveness into the boardroom? The answer turns measurement into something much bigger: a leadership decision. Because the moment you choose the window, you decide what value counts — and what value doesn't. Chapters: 00:00 Marketing Has Never Been More Measurable 00:50 More Measurement, Same Confidence 02:14 Marketing Won the Seat but Lost the Argument 03:49 How Measurement Became Optimization 05:13 When What We Can Observe Becomes What Counts 05:30 The Fishing Net Problem 06:47 Where Leadership Enters the Measurement Debate 08:38 Are Marketers Responsible? 09:12 When Marketing Takes Credit for the Weather 11:16 The 35 Forces That Affect ROI 12:09 The Halo Effect 13:30 Same Data, Two Completely Different Answers 15:45 The Retail Number That Changes the Story 16:26 Why Every Channel Wants More Budget 17:57 Measuring Podcast Advertising With the Wrong Net 20:07 The Problem With the 95:5 Rule 21:46 Why ROI Can Mislead 24:06 How Cutting Spend Can Improve ROI 25:20 What Does “Return” Actually Mean? 27:03 When Long-Term Evidence Loses to the Quarter 28:23 Can Marketing Choose a Different Window? 31:29 Measurement Becomes a Leadership Problem 32:42 You Can Predict the Answer by Looking at the Net 34:07 Five Questions to Ask Before Measuring 35:00 What Marketing Can Learn From Finance 35:35 The Measurement Problem Is a Leadership Problem 35:59 What Comes Next: Discounted Cash Flow Episode Sources: Boathouse, Fifth Annual CEO Study on Marketing and the CMO, 150 US CEOs, fielded January 2026. Coverage via Marketing Dive, SmartBrief, CommPRO. Gartner, May 2024, CMO survey on internal skepticism of marketing value. Calgary Marketing Association and Stone-Olafson, 2024 ROI report, Alberta marketers, n=124. Kapero, ANFO and the Norwegian Media Businesses’ Association, The Commercial Power of Brands in the Digital World, 13 Norwegian companies, 2024 data. Podscribe, Conversion Rate by Podcast Player, more than 50 direct response brands, 30 daywindow. Quatical, The 35 Factors That Affect Marketing ROI. Rosenzweig, P. (2007). The Halo Effect. Free Press. Eddington, A. S. (1939). The Philosophy of Physical Science. Cambridge University Press. The ichthyologist parable, told in summary. No direct quotation used.

Are marketers getting better at measuring activity while getting worse at understanding value? In this edition of The Barber’s Brief , Vassilis and Marc unpack four marketing debates that caught their attention. First, the agency industry's truth-in-pricing problem: agencies teach clients to build premium brands while continuing to sell their own expertise through hours and headcount. As AI changes how quickly work gets done, what should clients actually be paying agencies for? Then, a provocative challenge to Byron Sharp and the Ehrenberg-Bass school of thought: if mental and physical availability are table stakes, what actually allows a brand to break away from the competition and win? The conversation then turns to attribution vs. incrementality , and why creators, affiliates and reviews can appear to generate revenue without necessarily creating incremental demand. Finally, we explore pricing power and the idea that the biggest danger isn't failing to become a premium brand. It's losing the ability to set your own price. And for Ad of the Week , Spotify shows how data, culture and great outdoor creative can create personalization at scale without needing to personalize advertising to individuals. In this episode: Why agency pricing may be fundamentally broken What AI means for the billable-hour model Mental and physical availability vs. competitive strategy Roger Martin's “Where to Play / How to Win” Attribution vs. incrementality The changing role of creator and review content Why pricing power is really permission Spotify's hyperlocal OOH campaign Why creative can be the targeting mechanism Chapters: 00:00 Welcome to the Barber’s Brief 01:23 The Marketing Industry’s Truth-in-Pricing Problem 03:36 What Should Clients Actually Pay Agencies For? 06:54 Why the Agency Model Is So Difficult to Change 09:14 Will AI Actually Reduce Agency Costs? 11:04 The Mental & Physical Availability Trap 14:52 What Actually Helps a Brand Win? 16:06 Breaking Out When Every Competitor Plays the Same Game 18:58 Attribution vs. Incrementality in Creator Marketing 21:18 How Creator Content Changes Value Over Time 22:49 Do We Have Too Much Attribution Data? 24:23 Pricing Power: Permission, Not Intent 28:20 Have Discounts Trained Consumers to Wait? 31:28 Ad of the Week: Spotify’s Hyperlocal Playlists 33:56 Why Spotify Gets Personalization Right 35:41 What’s Coming Next 37:12 Stay Sharp Links: The marketing industry's truth-in-pricing problem (and why adland is to blame) Link: https://www.mediaweek.com.au/marketing-industry-truth-in-pricing-problem Off Kilter 232: The Availability Trap. Link: https://offkilter.substack.com/p/off-kilter-232-the-availability-trap How to measure the true value of creators and review content Link: https://searchengineland.com/value-creators-review-content-485028 Pricing Power Link: https://www.linkedin.com/posts/mary-kyriakidi-4a5a4a57_when-i-talk-about-pricing-power-the-question-share-7496127277890568192-nzTS/ Ad of the Week - Spotify Spotify turns playlist names into hyper-local punchlines Link: https://www.thedrum.com/news/ad-of-the-day-spotify-turns-playlist-names-into-hyper-local-punchlines

AI is going to take our jobs. AI will commoditize creativity. AI will make strategy worse. But AI isn't making those decisions. We are. In this PostPod, Marc and V reflect on their conversation with Pats McDonald, Chief Strategy Officer at dentsu, and explore one of the most important ideas emerging from the AI conversation: human agency still matters. They discuss why AI may eliminate barriers without eliminating expertise, how LLMs naturally pull marketers toward the average, the danger of settling for “strategy-ish,” and why faster answers don't necessarily produce better thinking. The conversation also explores what AI means for specialists and generalists, how marketing organizations may need to evolve, and why companies may eventually need to onboard their AI systems with the same strategic frameworks, principles and ways of working they use to onboard their people. Because the biggest question may no longer be what AI can do. It's what we're going to choose to let it do. Chapters: 00:00 Stop Blaming AI 00:46 Reflecting on Pats McDonald 02:02 AI, Jobs and Human Agency 03:00 AI Is Removing Barriers to Entry 05:13 Why Expertise Still Matters 06:36 Design for Difference, Not Sameness 09:27 The Danger of “Strategy-ish” 11:24 When AI Becomes “Good Enough” 13:53 Do We Still Need Specialists? 14:58 The Marketer of the Future 16:16 Why AI Still Needs Human Expertise 17:07 Turning Ideas Into Reality Faster 20:16 Human Agency Still Matters 20:27 AI and Strategic Drift 21:30 Keeping AI Inside the Strategic Framework 24:00 Should Companies Onboard Their AI? 26:29 Final Thoughts

What if the biggest mistake we're making with AI is the way we talk about it? Pats McDonald, Chief Strategy Officer at Dentsu Creative, joins the Sleeping Barber Podcast to challenge one of the dominant narratives surrounding artificial intelligence: that AI itself is determining what comes next. Her argument is simple: AI doesn't make these choices. People do. We explore what that means for marketers, strategists and leaders as AI becomes embedded in everyday marketing practice. Pats explains why AI's greatest opportunity isn't simply doing more with less, but enabling ideas that previously weren't possible. We discuss the danger of “strategy-ish”—plausible, polished strategic thinking that never gets somewhere genuinely distinctive—and why strategists should use AI to identify category conventions so they can deliberately break away from them. We also tackle one of the biggest organizational questions surrounding AI: if technology increasingly performs the work traditionally given to junior marketers, how do we develop the next generation of senior talent? Plus: Why strategists need to understand both consumers and algorithms Why curiosity may become more valuable than having all the answers How AI can expose category clichés and strategic blind spots Why data hygiene and fact-checking become even more important How AI could become institutional memory for brands Why marketers should design for difference rather than scale sameness What responsible AI leadership actually looks like Ultimately, Pats leaves us with a powerful distinction: Stop saying “AI will.” Start asking what people, enabled by AI, will choose to do. Chapters: 00:00 - Introduction 01:03 - Stop Saying “AI Will” 02:58 - How AI Is Changing Strategy 05:40 - Doing What Wasn't Possible Before 06:50 - What Happens to Junior Talent? 08:35 - Specialists vs. Generalists 11:35 - Curiosity as a Strategic Skill 13:45 - Can AI Accelerate Curiosity? 15:10 - Why Leaders Must Keep Learning 16:50 - The Danger of “Strategy-ish” 18:10 - Designing for Difference, Not Sameness 19:45 - AI, Bias and Strategic Blind Spots 21:05 - Why AI Still Needs Fact-Checkers 22:45 - Can AI Prevent Strategic Drift? 24:15 - AI as Institutional Brand Memory 25:55 - Great Examples of AI in Creativity 27:35 - AI Becomes Part of the Creative Toolkit 28:50 - Human Agency and the Future of AI 30:05 - Stop Saying “AI Will”

Ask ten marketers to define brand and you get ten answers. Ask them who owns it and you get one: marketing. Marc and V think that second answer is the problem. In this reboot of episode 4, they work through three questions with no guest and no script. What is brand? Marty Neumeier calls it the gut feeling people have about you. Roger Martin calls it generating confidence. Both descriptions point at things the promotion team does not control. Who owns it? V argues brand needs its own team, possibly reporting to the CEO, because the frontline, the packaging, the product roadmap and the customer service queue all write the brand whether marketing likes it or not. Marc pushes back on where the line sits, and lands on why an ad only ever amplifies the truth. Why is any of it useful? This is where it gets uncomfortable. NPS goes up when you lose customers. Last click hands the credit to the channel that was standing closest to the till. Share of search actually predicts something. And the retention economics everyone repeats turns out to be a thought experiment nobody checked. Recorded in 2021. Republished because the org chart problem has not moved.

What happens when AI makes marketing more efficient, but every dollar saved gets taken out of the marketing budget? Welcome back to the Barber’s Brief, where we unpack the marketing stories, ideas and creative work that caught our attention. This week, we start with what might be one of the unintended consequences of the AI revolution: the efficiency spiral . As marketers use AI to accomplish more with less, are they inadvertently proving that their organizations need less marketing investment? We also explore why marketing may have the "loneliest seat at the table," despite having one of the broadest views of the business, and why marketers need to reconnect what they do to financial outcomes if they want greater influence inside organizations. Then we turn to Google. A German court ruling could fundamentally change the relationship between platforms, publishers and AI-generated answers by treating Google's AI Overviews as Google's own content. If an answer belongs to Google, does the responsibility for that answer belong to Google too? Finally, Marc's Ad of the Week takes us back to Cannes with Columbia Sportswear's Expedition Impossible , a brilliantly committed challenge to flat-earthers that demonstrates why great creative showmanship is about much more than spectacle. In this episode: The AI efficiency spiral Why AI should be treated as a growth tool, not simply a cost-saving tool Marketing's "panoramic view" of the business Why marketing needs to get beyond communications Connecting marketing activity to financial outcomes Google's emerging responsibility for AI-generated answers The changing economics of AI search Columbia Sportswear's Expedition Impossible Why showmanship makes great advertising memorable Chapters: 00:00 Welcome to the Barber's Brief 00:34 The AI Efficiency Spiral 01:01 How CMOs Are Funding AI 02:15 Why Smaller Companies May Be Winning With AI 03:22 AI as a Growth Tool, Not a Cost-Cutting Tool 05:49 Marketing Has the Loneliest Seat at the Table 06:12 Marketing's Panoramic View of the Business 08:43 Does the Rest of the Business See Marketing Differently? 10:42 Why Marketing Feels Unpredictable 12:31 Should Everything Marketing Does Link to Financial Outcomes? 13:39 Marketing's Retreat Into Communications 15:16 Getting Marketing Back Into the Business 16:36 Google's AI Search Liability Problem 18:45 When Google Becomes the Answer, Who Is Responsible? 20:18 How AI Overviews Are Changing Search Behaviour 23:18 Ad of the Week: Columbia's Expedition Impossible 24:02 Challenging Flat-Earthers to Find the Edge of the Earth 25:35 Why Columbia's Commitment Made the Idea Work 27:11 Showing a Different Side of Columbia 28:08 Why Showmanship Makes Advertising Great 28:57 Closing Thoughts

What actually makes marketing effective? It's tempting to point to great creative. Or strong media. Or impressive results. But after our conversation with Effie Worldwide CEO Traci Alford , we realized effectiveness is something much bigger. In this Post-Pod we unpack the four-part system behind effective marketing and discuss why leadership, culture and organizational alignment often matter more than any individual campaign. Topics include: Why effectiveness is a system—not a scorecard Objectives, insight, creativity and learning Why marketers struggle to define the real problem Bravery versus risk The importance of common language across the C-suite Why incentives may be working against effective marketing We also introduce another edition of our Quick Fire round, highlighting the biggest ideas from the episode. Chapters: 00:00 - Welcome to the Post-Pod 00:40 - First Impressions of Traci Alford 01:20 - Effectiveness Is a System 03:10 - Are We Solving the Right Problem? 05:15 - Great Systems Need Great Teams 07:30 - Stakeholder Management & Common Language 10:40 - Do Incentives Work Against Marketing? 14:45 - Future Demand & Long-Term Thinking 17:40 - Bravery vs Risk 21:50 - Global Insights vs Statements of Fact 24:05 - ⚡ Quick Fire 24:20 - Best Quote 24:40 - Biggest Insight 25:10 - Most Practical Takeaway 25:40 - Biggest Challenge for Marketers 25:50 - Debate Question 26:05 - Closing Thoughts

Most companies treat effectiveness like a scoreboard. Traci Alford, Global CEO of Effies Worldwide, sees the entries from 130 countries, and she says that is exactly where it goes wrong. Measuring the crop does not grow it. In this conversation recorded in Cannes, Traci lays out the 4 things behind every winning case: understand the business problem find a real insight rather than a statement of fact execute the creative brilliantly, and measure what happened so you can learn from it. Plenty of companies are strong at 1 or 2. Almost nobody is strong at all 4, and fewer still can tell the story that ties them together. Traci also draws a line most of the industry blurs. Brave is not the same as risky. Risk means you have not thought about your headwinds. Brave means you made a calculated choice and you can defend it in the room. And her data says you cannot do it halfway. Stick to your knitting and execute well, or take the real swing. Hovering in the middle is where work dies. Marc and V push on the parts that hurt. Why the short term always wins the budget fight. Why agency relationships go sour when a campaign is the only unit of measurement. Why marketing jargon loses the room. And where technology spend quietly eats the money that could have gone into media. Traci keeps coming back to the same place. This is a people business, and the habit has to live at the executive table, not just in the marketing team. Timestamps 00:00 Cold open and welcome 02:37 The 4 pillars behind every winning case 05:39 Brave is not the same as risky 09:18 Why this is a people business 13:24 The short term trap and shared accountability 18:28 Talking to the C-suite without the jargon 24:07 Insight is the one most people fail 29:34 Risk retreat, tech debt, and opportunity cost 36:16 What to take home from Cannes Show Notes Links Effie Worldwide: https://effie.org/ Tubi "Rabbit Holes" Super Bowl spot https://www.youtube.com/watch?v=mROTZBUM1Yk Previous SBP episode with Karen Pearce, Rethink Ehrenberg-Bass Institute 95:5 rule https://marketingscience.info/news-and-insights/the-955-rule-is-the-new-6040-rule

Brand awareness is one of the most reported metrics in marketing. It's in almost every board deck. Almost every brand tracker. Almost every agency review. But what if it's measuring the wrong thing? In this Sharp Cut, Marc and V explore why mental availability matters more than awareness, why Category Entry Points (CEPs) outperform personas as a planning framework, and why marketers should stop asking "Who is our customer?" and start asking "What buying situations do we need to own?" Topics include: Mental availability vs brand awareness Why awareness often fails to predict growth The power of Category Entry Points Creative as a targeting system Why Meta is moving away from hyper-targeting The measurement framework marketers should actually use If you've ever presented a rising awareness score alongside a flat business result, this episode is for you. Chapters: 00:00 - Welcome to Sharp Cuts 00:35 - Why Brand Awareness Is Misleading 02:00 - Mental Availability vs Awareness 03:45 - What Should We Measure Instead? 05:15 - Category Entry Points Explained 07:10 - The Seven Whys Framework 08:00 - Why CEPs Changed the Conversation 09:00 - Creative Becomes the Targeting Tool 11:00 - Why Meta Is Broadening Audiences 12:30 - Two Performance Marketers Confess 15:30 - Where CEPs Go Wrong 16:30 - The Three Cs of Prioritization 17:30 - Distinctive Assets & Memory 18:30 - Bailey's Case Study 19:00 - Stop Measuring Brand Love 20:30 - The New Measurement Framework 21:30 - Final Takeaways

What actually mattered at Cannes? More importantly... What should marketers do differently because of it? In this special collaboration between The Sleeping Barber , That's What I Call Marketing , and System1 , we unpack the biggest lessons from Cannes Lions and turn them into practical advice for the second half of the year. Topics include: Mark Ritson & Byron Sharp's rare appearance together Why creativity still beats optimization AI's real role in advertising The rise of creators Why memory—not impressions—is becoming the metric that matters Why audio may be marketing's biggest opportunity The Q4 creative playbook If you're planning campaigns for the second half of the year, this conversation is your roadmap. Chapters: 00:00 - Welcome & Why This Conversation Matters 01:20 - What Really Happened Between Byron Sharp & Mark Ritson 05:35 - Where They Still Disagree 06:15 - Why Consistency Is Marketing's Biggest Weakness 09:20 - What Marketers Often Misunderstand 11:45 - AI After Cannes: Hype vs Reality 17:15 - Are We Already Bored of AI? 18:35 - Brand Characters, Consistency & Memory 23:40 - Why Audio Could Be Marketing's Next Big Opportunity 31:30 - Why Radio Still Works 37:20 - Creators: What Most Brands Get Wrong 43:30 - Memory Is Becoming Marketing's Most Important Metric 51:50 - The Q4 Playbook 54:00 - Feels vs Deals 59:00 - Why Great Christmas Ads Return Every Year 1:00:30 - Final Advice for Marketers

Ty Heath has a way of making complex marketing ideas feel deceptively simple. After our latest conversation with the former LinkedIn B2B Institute leader, we sat down to unpack the biggest ideas that stayed with us—from why B2B is simply "marketing on hard mode," to why confidence may be the true outcome of great B2B marketing. Along the way we explore: Why the same marketing principles apply across B2B and B2C Buying committees and why complexity changes execution—not human behaviour Why the best B2B brands build ecosystems instead of campaigns The power of contrarian thinking Why strategy should outlast trends Confidence, memory and long-term brand building If you've ever wondered whether B2B marketing really plays by different rules, this conversation may change your mind. 00:00 - Welcome Back & First Reactions 01:15 - Why B2B Is "Marketing on Hard Mode" 02:15 - The B2B Institute as a Marketing Cheat Code 03:30 - Buying Committees and What Makes B2B Different 06:10 - Are B2B and B2C Actually That Different? 07:15 - Has B2B Creativity Finally Matured? 09:35 - Campaigns vs. Ecosystems 12:00 - Why Event Marketing Builds Memory 13:30 - The Contrarian Marketer 15:10 - Chasing Trends vs. Building Strategy 17:30 - Objectives Before Tactics 18:10 ⚡ Quick Fire Begins 18:35 - Best Quote 19:15 - Most Surprising Insight 20:20 - Biggest Missed Question 21:45 - Most Practical Takeaway 22:15 - Challenge for Marketers 23:10 - Closing Thoughts

B2B marketing isn't playing a different game. It's playing the same game on hard mode. In this episode, we're joined by Ty Heath, Global Director of Thought Leadership Go-to-Market at LinkedIn and co-founder of the B2B Institute. Fresh off serving as Jury President for the Creative B2B Lions at Cannes, Ty shares what separated the best work from the rest—and why B2B creativity is entering a new era. We discuss: What won at Cannes B2B Lions Why B2B creativity has matured The role of emotion in B2B Buying committees and "viability" Why ecosystems beat campaigns The origin story of the B2B Institute Long-term thinking inside LinkedIn Why B2B marketers are playing the game on "hard mode" Whether you work in B2B, B2C, media, or brand strategy, this conversation offers practical lessons on creativity, leadership and marketing effectiveness. Chapters: 00:00 - Welcome Back, Tyronna Heath 00:38 - Tyronna’s New Role at LinkedIn 01:11 - Winning an Effie for “Only on LinkedIn” 02:58 - Becoming Jury President for the Creative B2B Lions 05:24 - Reviewing 355 Cannes Entries 07:20 - Has B2B Creativity Finally Matured? 09:14 - What Effective B2B Creativity Looks Like 12:00 - Why the Best Ideas Can Be Explained in One Sentence 13:24 - What Is Still Missing from B2B Creative? 16:01 - Why Ecosystems Can Be More Powerful Than Campaigns 18:09 - The Role of Emotion in B2B Decision-Making 18:23 - Cannes as a B2B Brand Experience 21:37 - The Origin Story of the B2B Institute 25:25 - How the B2B Institute Built Its Influence 28:05 - Thought Leadership and Betting on What Won’t Change 31:09 - Human Behaviour as the Enduring Marketing Truth 32:43 - Where B2B Creativity Goes Next 34:15 - Why B2B Marketing Is “Hard Mode” 37:07 - LinkedIn’s Long-Term B2B Playbook 38:01 - Building Authority, Credibility and Confidence 39:10 - The B2B Institute as a Marketing Cheat Code 40:05 - Where to Follow Tyronna and the B2B Institute

What if almost everything we've been taught about advertising is built on a sales model from 1904? In this Sharp Cut, we unpack six of marketing's most persistent myths—from "digital has no waste" to "last-click attribution tells us what works"—before rebuilding a simpler, evidence-based explanation of how advertising actually works. Rather than relying on theory, we challenge these ideas using our own careers, practical examples, and decades of marketing science from Byron Sharp, Les Binet, James Hurman, Orlando Wood and others. In this episode Why digital isn't actually waste-free Why targeting isn't enough Why advertising isn't sales Why creative matters more than many marketers believe Why personalization has been oversold Why ROAS isn't telling the full story Why advertising is better understood as planting and harvesting If you've ever struggled to explain marketing to your CFO—or even to yourself—this episode is for you. Chapters: 00:00 Welcome to Sharp Cut 00:15 Why Most Companies Misunderstand Advertising 02:13 Myth #1: Digital Has No Waste 06:36 Myth #2: Target High-Intent Audiences 09:36 Myth #3: Advertising Is Sales Done Over Media 11:03 Myth #4: Creative Is Just Decoration 12:34 Myth #5: Personalization Is The Future 14:29 Myth #6: Last-Click Attribution Tells Us What Works 17:10 How Advertising Actually Works 18:04 Why We're Still Using a Sales Model from 1904 19:55 Advertising Is a Weak Force 20:47 The Two Jobs of Advertising 21:39 Plant vs. Harvest: A Better Mental Model 22:04 The McCain Case Study 23:59 Why Most Companies Still Think Like Salespeople 25:12 Becoming Experts in Our Own Trade 26:20 Les Binet's One-Slide Explanation 27:29 Final Thoughts: Start Planting Supporting Links: Binkley, M., & Douros, V. (Hosts). (n.d.). What marketers still get wrong with Prof. Byron Sharp (No. 215) [Audio podcast episode]. The Sleeping Barber Podcast. Hurman, J. (2026). Future demand. https://futuredemand.com Iwamoto, A. (2024). The origin of AIDA: Who invented and formulated the AIDA model? Japan Marketing History Review, 3(2), 150-166. https://doi.org/10.51102/jmhr.3.2_53 Mulroney, R. (2024). McCain: When the chips are down, margins matter. How a focus on long-term emotional brand-building reduced price elasticity and increased profits for McCain [IPA Effectiveness Awards case study]. WARC. https://www.warc.com/content/article/mccain-when-the-chips-are-down-margins-matter-how-a-focus-on-long-term-emotional-brand-building-reduced-price-elasticity-and-increased-profits-for-mccain/156769 WARC. (2026). The multiplier playbook: The CMO's guide to integrating brand and performance. WARC. Foundational sources (optional, for show notes) Binet, L., & Field, P. (2013). The long and the short of it: Balancing short and long-term marketing strategies. Institute of Practitioners in Advertising. Sharp, B. (2010). How brands grow: What marketers don't know. Oxford University Press. To confirm before air: Hurman subtitle and publisher; the exact platform and date of Binet's How Advertising Really Works video (candidate: the Cannes Lions Advertising 101 course); the publication date of SBP episode 215; and a direct URL for the WARC Multiplier Playbook (produced with Analytic Partners, BERA.ai, Prophet, System1 and the ANA).

What do Netflix, Reddit, AI, M&M's and Lyft have in common? More than you might think. In this episode of The Barber's Brief, Marc Binkley and Vassilis Douros unpack one of the biggest strategic lessons in modern marketing: competitive advantages don't last forever. From Netflix reconsidering binge watching, to Reddit fighting AI generated spam, to the explosion of Martech tools and one of the year's smartest advertising campaigns from Lyft, this episode explores why the brands that continue to grow are the ones willing to challenge yesterday's assumptions. Topics include: Netflix's changing release strategy AI spam and Reddit's response Are marketers buying too many AI tools? Why one M&M mascot was banned Lyft's brilliant "Save the Money" campaign Why great advertising dramatizes problems instead of explaining benefits If you enjoy evidence-based marketing, creative effectiveness and challenging conventional wisdom, subscribe for new episodes every week. Chapters 00:00 Introduction 01:00 Netflix and the Innovator's Dilemma 05:30 Reddit vs AI Spam 10:05 AI Tool Overload 15:30 The M&M Mascot Ban 19:45 Ad of the Week — Lyft 23:20 Coming Next: How Advertising Really Works News Links: Did Netflix Break the Habit It Created? - https://techcrunch.com/2026/07/06/netflix-invented-binge-watching-now-it-may-have-outgrown-it/ Reddit Is Cracking Down on AI Marketing Slop - https://finance.yahoo.com/technology/ai/articles/reddit-cracking-down-ai-marketing-115000368.html 5 questions to ask AI vendors before buying a tool -https://searchengineland.com/ai-vendor-questions-481765 M&M’s brand character gets ad banned under unhealthy food rules - https://www.marketingweek.com/mms-brand-character-lhf-ad-rules/ Lyft. Save the Money - https://youtu.be/7KARBlOzx8E?si=a4ummQl8NvYFmPO8

What if marketing's biggest challenge isn't proving its value—but explaining it? Following our conversation with James Hurman, we reflect on one of the most practical frameworks we've encountered in years: Future Demand. Rather than revisiting every topic from the interview, this Post-Pod explores what the ideas actually mean for marketers trying to influence leadership, defend budgets, and build long-term growth inside their organizations. In this episode: Why "future demand" may be better language than "brand awareness" Why leadership teams naturally prioritize demand capture The role of marketing during recessions - Why great campaigns wear in—not out Why dashboards often tell an incomplete story Objective truth vs. personal truth in marketing How evidence-based marketing becomes repeatable inside organizations If you've already listened to our interview with James Hurman, this conversation helps connect the dots between marketing theory and day-to-day practice. Enjoy the show! Chapters: 00:00 Welcome to the Post-Pod 00:45 James Hurman’s Core Idea: Advertising Creates Future Demand 01:40 Demand Creation vs. Demand Capture 03:55 Future Demand as a Leadership Conversation 05:00 The Smartphone Example and the 95/5 Rule 07:55 Market Dynamics and Performance Marketing Bias 08:50 Why Brand Matters Most in Recessions 11:05 Campaigns Wear In, Not Out 12:40 The Problem with Platform Metrics 15:15 Objective Truth vs. Personal and Political Truth 17:20 Why Future Demand Is Easier to Sell Internally 19:15 Evidence-Based Marketing and Organizational Buy-In 21:50 Why Repeatability Matters 24:20 Final Reflections on James Hurman’s Book