Sleeping Barber - A Marketing Podcast

Marketing runs on comfort blankets. The Sharp Cut cuts them up to see what's inside. This week, we did it as a murder mystery.
The victim: the click. Once upon a time a click was one honest fact, a machine noting that a file left a building. Over eleven years it got poisoned, dose by dose, until it was taking credit for sales it never caused.
The body: in 2012, eBay turned off roughly $51M in paid search across a third of the US, with matched control markets. Scored the way a dashboard scores it, the return was over 4,000%. Scored against the control, the only way that actually answers the question, it was minus 63%. Same company, same spend, same year.
Then we line up six suspects, the auction, the platforms, last click attribution, the CFO, the agency, and us, and ask each one the same two questions: did they have a reason, and did they have the access?
Marc and V get out of the costume for the part that stings: the doses we added ourselves. The Sport Chek war room. The machine V built to move money faster. The P&G cut everyone quotes that fails our own evidence test. And what happens to the click when the shopper is an AI.
We won't hand you a verdict, because we don't fully agree.
You're the jury.
Enjoy the show!
Chapters:
00:00 What the Sharp Cut is
00:49 A murder mystery: who killed the click?
01:30 Meet your six suspects
01:45 The body: eBay turns off $51M in paid search
03:35 4,000% ROI or minus 63%? Same campaign, two scores
03:57 What a click actually was (the first banner, 1994)
05:23 The 44% click rate nobody can verify
06:25 Cause of death: poisoned over eleven years
06:42 Three doses: price, bouncer, then credit
08:43 When a measure becomes a target (Goodhart's Law)
09:09 Whodunit: motive and opportunity
11:21 The evidence: Facebook's own 2016 deck
12:45 Out of the costume: the doses we added ourselves
15:28 The Sport Chek war room18:16 Building a machine to move money faster
19:41 The P&G $200M cut, and why it fails our own test
20:49 The alibi that holds: same test, opposite answer
21:27 The click's replacement: AI shoppers
22:39 The verdict is yours
24:06 One warning before you turn anything off
Sources:
Allouah, A., Besbes, O., Figueroa, J. D., Kanoria, Y., & Kumar, A. (2026). What is your AI agent buying? Evaluation, biases, model dependence, and emerging implications of agentic e-commerce. In Proceedings of the ACM Web Conference 2026 (pp. 8697–8700). https://doi.org/10.1145/3774904.3792943
Blake, T., Nosko, C., & Tadelis, S. (2015). Consumer heterogeneity and paid search effectiveness: A large-scale field experiment. Econometrica, 83(1), 155–174. https://doi.org/10.3982/ECTA12423
Chan, D. X., Yuan, Y., Koehler, J., & Kumar, D. (2011). Incremental clicks: The impact of search advertising. Journal of Advertising Research, 51(4), 643–647. https://doi.org/10.2501/JAR-51-4-643-647
Golden, J., & Horton, J. J. (2021). The effects of search advertising on competitors: An experiment before a merger. Management Science, 67(1), 342–362.
Gordon, B. R., Zettelmeyer, F., Bhargava, N., & Chapsky, D. (2019). A comparison of approaches to advertising measurement: Evidence from big field experiments at Facebook. Marketing Science, 38(2), 193–225. https://doi.org/10.1287/mksc.2018.1135
Lewis, R. A., & Rao, J. M. (2015). The unfavorable economics of measuring the returns to advertising. The Quarterly Journal of Economics, 130(4), 1941–1973. https://doi.org/10.1093/qje/qjv023
Lysen, S. (2013). Incremental clicks impact of mobile search advertising. Google. https://research.google/pubs/incremental-clicks-impact-of-mobile-search-advertising/
Simonov, A., Nosko, C., & Rao, J. M. (2018). Competition and crowd-out for brand keywords in sponsored search. Marketing Science, 37(2), 200–215. https://doi.org/10.1287/mksc.2017.1065
The Procter & Gamble Company. (2017). Additional definitive proxy soliciting materials (DEFA14A). U.S. Securities and Exchange Commission. https://www.sec.gov/Archives/edgar/data/0000080424/000119312517299631/d464866ddefa14a.htm
Facebook. (2016). Everything competes with everything [Slide presentation].
GoTo.com, Inc. (1999). Form S-1 and Form 10-Q. To be reformatted as SEC legal sources.
Nielsen. (2009). NetEffect CPG home scanner panel meta-analysis of 200+ online campaigns. As reported in Facebook (2016).
Nielsen. (2015). BrandEffect meta-analysis of 478 online global campaigns, October 2014 to April 2015. As reported in Facebook (2016).

Marc and V are back with the Barber's Brief: the good, the bad, and the overhyped from the last couple of weeks, with data, a few strong opinions, and Great Creative getting the last word.

This week:
"My CEO doesn't get brand." Nearly half of B2B marketers say they can't get brand budget signed off. But 40% admit brand isn't seen as delivering ROI inside their own company. V's take: that's not an education gap, it's a proof gap. Fix the proof and the understanding follows.
Google AI Overviews are eating your website traffic. Studies put the click drop anywhere from 15% to 90%. Marc makes the case that we never owned our search rankings anyway. We've always been playing on rented land, and the landlord just changed.
QR codes in ads. Andrew Tindall of System1 says if you're still using them, you're a moron. CTV scan rates have fallen to 0.004%. V argues the QR code isn't the disease, it's the symptom. It is measurement theater and a confession that you don't trust the ad to do its job. Marc pushes back, and it gets good.
Nobody owns demand. A sharp post from Mats Georgson: who decides what you sell, to whom, at what price, and where. Rarely marketing. So what should marketing actually own?

Plus Ad of the Week: Tubi's funeral spot from "Find Any Feeling For Free," the funniest ad with the weakest branding you'll see all month.
Enjoy the show!

Chapters
00:00 Intro: welcome back to the Barber's Brief
01:11 Story 1: "My CEO doesn't get brand"
02:07 Education gap or proof gap?
04:05 The B2B Institute evidence: brand as the icebreaker
05:53 Story 2: Google AI Overviews are eating your traffic
07:23 Playing on rented land, again
09:34 Own your audience, or just change landlords?
12:12 Story 3: QR codes, Andrew Tindall, and measurement theater
15:07 Marc's rebuttal: signal vs noise
18:01 Last click is dumb, so why do we default to it?
20:04 Story 4: Nobody owns demand
22:54 You don't own the four Ps, but stay close to them
25:08 Ad of the Week: Tubi, "Find Any Feeling For Free"
27:06 The gag that outran the brand
29:31 Coming up: Who Killed the Click, and Target Canada

Links:
Title: ​ Lack of CEO understanding harming B2B brand building push
Link: https://www.marketingweek.com/brand-spend-b2b-ceo-cfo/
Title: Google AI Overviews Are Eating Your Website Traffic. Here’s How To Get That Traffic Back
Link: https://www.forbes.com/sites/terdawn-deboe/2026/05/18/google-ai-overviews-are-eating-your-website-traffic-fight-back/
Title: Andrew Tindall: If you’re still putting QR codes in your ads, sorry, you’re a moron
Link: https://www.thedrum.com/opinion/andrew-tindall-if-you-re-still-putting-qr-codes-in-your-ads-sorry-you-re-a-moron
Title: Nobody in your company owns demand.
Link: https://www.linkedin.com/posts/matsgeorgson_nobody-in-your-company-owns-demand-ask-activity-7505219391089983488-BoMM?utm_source=share&utm_medium=member_desktop&rcm=ACoAAASDjbUB2U9VXn6rXo3lEfvMAwrkF_01wlk
Ad of the Week
Title: Tubi Fakin' It 30s
Link: https://www.youtube.com/watch?v=TGklD2yU-3I&t=30s

Fresh off the Ian Whittaker interview, Marc and Vassilis sit down for the PostPod to unpack what actually stuck.
The through line: marketing keeps losing the budget argument because it treats finance as an obstacle instead of a customer. Ian's framing reframed it. Follow the incentives. Understand what executives are rewarded and punished for. Reframe budget as risk, not just missed opportunity. And stop leaning on "ROI" as if the word alone wins the room, because it is a ratio you can improve simply by cutting spend.
They also get honest about the echo chamber marketers live in, the gap between how advertising works and how people believe it works, and why infinite data and AI still have not cracked proof. Marc brings it down to earth with a personal lesson from running a real P&L.
No tidy answers. A much better set of questions.
Chapters:
00:00 The board is a customer too (cold open)
00:41 PostPod: why our heads were spinning
02:22 Follow the incentives, the question we never ask finance
03:12 Marc runs a P&L now, and cost is a worthy adversary
05:07 Marketing's echo chamber problem
06:10 Finance is the customer: vocabulary vs grammar
07:16 Learn capital allocation, not just the buzzwords
09:42 Why leading with ROI can get you cut
10:27 How advertising works vs believing how it works
11:40 Understand board priorities before you pitch
12:53 Infinite data, still can't prove ROI, enter DCF
15:05 The bridge and the ravine
16:45 Getting marketers closer to the business

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.